Writing for the web or offline can be a great way to make a name for yourself. But it’s not easy – it takes a lot of skill and knowledge to produce high-quality content. If you want learn ‘How to be an article writer’, you need to follow these tips.

In this post, we’re going to discuss the different steps you need to take in order to become an excellent article writer. From research to drafting to editing and publishing, we’ll cover everything you need to know in order to produce high-quality content. So read on and start writing your next great article!

Extensive Reading

• Reading, reading, and reading on a daily basis is the key to becoming a great article writer. Nobody can stop you from becoming an excellent writer if you are an avid reader who considers books to be friends. 
• You should read as many different topics as possible. It is a universal fact that authors in specific genres are enthusiastic readers.
• Readers all over the world are unanimous about this fact. They believe reading helps you imbibe the qualities of awareness and compassion too.

Intense Research

• To become an article writer, you must conduct extensive research on the topic matter. When creating an essay, thorough research with correct facts and data is essential. 
• For example, if you are writing a biography of someone, you must conduct extensive research in order to make it engaging and readable.
• When you start researching, you will discover fresh angles and viewpoints that you had not considered before. It allows you to gain a more comprehensive understanding of the article’s topic.  Thus, research is a very important part, while writing an article irrespective of age and experience.

Knowledge of current affairs

• To become an article writer, you must conduct extensive research on the topic matter. When creating an essay, thorough research with correct facts and data is essential. 
• For example, if you are writing a biography of someone, you must conduct extensive research in order to make it engaging and readable.
• When you start researching, you will discover fresh angles and viewpoints that you had not considered before. It allows you to gain a more comprehensive understanding of the article’s topic.  Thus, research is a very important part, while writing an article irrespective of age and experience.
• There are several article writing formats. You may believe that knowledge of current events is not required for your specific area of expertise.
• Keeping up with current events will help you improve as a writer. It allows you to learn new things about a variety of subjects. This also offers fresh data sources for you to use in your article, regardless of the topic.
• Current affairs, like research, assist you in producing higher-quality articles increasing your output as an article writer.

Jot down important points

• While reading when something captures your attention, pen down the significant points. 
• There is so much to research, that you will definitely pitch across material that will be useful to you.
• If you do not take notes or strive to memorize them, you will eventually forget the material. Taking thorough notes maintains all of the information in one location. It allows you to access it whenever you want.
• On the other hand, if you simply write notes and keep them locked up, they will be useless. As a result, you’ll have to make an effort to access the notes you’ve made. That’s how you remember them.
• One of the techniques here is to write significant elements from your notes on sticky notes. You may then adhere the sticky.

Simple language

• While writing, keep an eye out for grammatical and spelling issues.
• An excellent command of the language is essential for becoming a good writer.
• So, when writing, keep the language simple for easy readability.

Watch informational videos

• Reading is just as vital as watching informative films on various topics. Informational videos include a plethora of information that, unexpectedly, may be put to good use while writing various articles. Whether your piece is a blog, how-to, descriptive article, review, or narration, you may supplement it with intriguing data.
• This will help to get the attention of your intended readers. You will have a significant influence on them. By introducing new components, you develop and add originality to your work.
• Anything you write will always be there. You must engage your creative side. Try to understand how you feel about the issue.

Write Topic of Interest

• Before you begin your adventure as an article writer, you must first discover the areas that spark your interest. There are so many themes to pick from, in so many categories.
• You must use extreme caution while deciding where to work. You will have no experience when you first begin. Furthermore, other than your portfolio, you will have nothing to build your qualifications on. Now, your portfolio will be a crucial part of your career as an article writer.
• So, pick a topic on which you can write in an interesting manner.

Types of Article Writing

Listed below are the different types of article writing courses which would fuel your imagination power and enhance your writing skills.

Creative writing 

It is an art and typically involves fiction, poetry and story writing.  The writer has the freedom to pen down their imagination, emotions and invention in a very fascinating manner. Creative writing focuses on original style of writing and not defined by pre-existing structures and formats. 

Although this concept is somewhat ambiguous, creative writing is often defined as any sort of writing that is original and expressive of oneself. It is usually distinguished by a concentration on narrative craft, with an emphasis on components such as character development, narrative, and plot, infusing its framework with creativity, inventiveness, and tale.

In this sense, creative writing may be defined as any writing of modern, original composition that is not restricted by established norms and employs a wide range of materials in its craft.

Types of Creative writing

• Biographies
• Essays
• Scripting
• Novels
• Short stories
• Speeches

Scope of Creative writing

Novels, memoirs, travelogues, and other genres may all be written by good creative authors. The scope of creative writing extends into today’s industries, as well as a few more, discussed below:

Job Titles includes

• Copywriters
• Scriptwriters
• Academic writers
• Novelist
• Columnist
• Ghost writers

In an academic context, creative writing classes are usually separated into fiction, poetry, or scriptwriting, with an emphasis on writing in a unique manner that is not defined by pre-existing structures and genres.

However, learning the basics of creative writing can make you use the language in a way that expresses their ideas and emotions in a meaningful way.

Medical writing 

It dedicatedly focuses on scientific and health information, medical communication including research reports,  consumer  information and regulatory documents. 

Besides, medical writing is a respected field. Medical writers explain documents, communicate news, and conduct research that improves health outcomes and saves lives every day. 

Types of Medical writing:

• Regulatory writing
• Scientific publications
• Health communication 
• Medical communicators

Scope of Medical writing

The career prospects in medical writing are vast. Now the career is not restricted to doctors and scientists in medicine. Now  there is huge opening in medical as a medical writer with various job opportunities described below:

Job Titles includes

• Associate medical writer
• Senior Medical writer
• Consultant medical writer
• Freelance medical writer

Their responsibilities and possibilities change all the time, whether they’re authoring peer-reviewed publications about clinical trials, promoting cutting-edge equipment, or teaching health care professionals and the general public. It is a satisfying and booming career for students from the science stream.

Seo content writing 

It is described as creating optimized content in order to rank higher in Google search results. It is the art of writing that delivers targeted visitors from search engines to your website. 

Types of SEO content writing

• Website blog writing
• Product writing
• Descriptive writing
• Personal blog writing
• Social media writing
• E-books
• Newsletters

Scope of SEO writing
SEO writing is comprehensive writing and is in great demand nowadays. Every Industry requires a SEO content writer to write an impressive blog for the growth of their online business to rank on top of google search engine.

Job Titles includes:

• SEO content writer
• SEO copywriter

To rank on Google, SEO writing requires high-quality material that is optimized around certain keywords. Nevertheless, SEO focuses on increasing a site’s rating in the organic (non-paid) segment of search results.

Technical writing

Writing or composing technical communication utilized in technical and vocational domains such as computer hardware and software, architecture, engineering, chemistry, aeronautics, robotics, finance, medical, consumer electronics, biotechnology, and forestry is known as technical writing.

Types of Technical writing

• White papers
• Case studies
• SDK documentation (software development kit)
• User guides
• Business writing

Scope of technical writing

The scope of a technical writer is growing every year. People understand its significance and are becoming more serious about it as a career path.  The average technical writer salary scale ranges between INR 3 lakhs to 10 lakh per annum

Job titles includes

• Content developers
• Content writers
• Documentation specialist
• Manual writers
• Policy writers
• Product writers

Technical writing is the art of providing a detailed – oriented instruction to help users understand a specific skill or product.

Business writing

It is a writing that is used as a communication tool by corporates and other professional entities. Business writing is defined as purposeful written professional communication with the goal of informing, directing, explaining, requesting, or influencing the recipient’s behavior. 

Types of Business writing

• Instructional writing
• Informational writing
• Persuasive writing
• Transactional writing

Scope of Business writer’s

For the growth of the business writer’s should plan and write the business strategies in a very calculative way.  The scope for business writer’s is in demand with the competitive approach in the business world.

Job titles include

• Ghost writers
• Content writer 
• Editor
• Business strategy writer

As a result, the writer must have a message that is legible and understandable to their target audience.

What makes an article great?

There are a few things that make an article great. These includes:

• Concise and to the point: An article should be neither too long nor too short. The reader should be able to get the main points in a few sentences.
• Interesting and engaging: The reader should be able to stay interested in the article even if it doesn’t have a lot of meat on the bones.
• Good grammar and spelling: You should make sure your grammar and spelling are correct, as mistakes can easily turn readers off.
• No plagiarism: Unless you have the written permission of the original author, you should not copy their work. This will give the author the opportunity to get their work out there and be noticed, rather than you are getting credit for it.

What are the benefits to be an article writer?

Nowadays, the growth as an article writer is tremendous and can be taken as a full-time career by the ardent writers.

Besides, article writing is the hottest and most rewarding career. The writing is not limited to any particular field.  You can write anything that you are well-versed with. 

Writing has an infinite number of themes and may be pursued as a profession by a student, a homemaker, a retired person, or as a part-time employment by anybody who has a talent for writing.

On the contrary, the growth of article writing is on an increase and candidates from all genres who have a passion for writing are moving towards becoming an excellent writer in their respective fields. 

However, the salary of a writer is based on its article and experience. Whether fresher or experienced, you can earn an average salary between Rs.2.5 lakhs to 10 lakhs initially. 

Also, there are several advantages of taking up an article writing course to improve your writing abilities and become a great writer.

A glance at the benefits of becoming an article writer

• You can begin a freelance career in article writing and serve in various industries.
• Increased brand awareness
• Increased website traffic
• Contribution to online and offline audience
• Freedom & power to put up ideas in various ways.
• Will be able to serve SEO & digital marketing content requirements.
• Learn blog writing, article writing, product writing, SEO writing by creating high quality and impressive articles.
• Your ability to create topics on different subjects will increase.
• You can become a reputed writer in the market
• You will be able to create an impeccable blog post with quality information for the readers.
• This profession will allow you to earn a decent monthly package.
• Write intriguing articles that will impact the readers lives.

How to write a blog post?

If you have spent time on the internet, you must be familiar with the blog posts. You can write a blog on your area of expertise. Blogging can serve multiple purposes. There are various subjects you can write a blog on such as food, health, social ideas, tourism and many more. There are no boundaries for writing a topic you are passionate about, and driving traffic to your website in an effective manner.

Here is an effective way to ‘how to write a blog post’:

• Choose a Topic of interest- for example if you have traveled to a beautiful destination do write on the experience of your travel experience and the place.
• Do a thorough research on the topics facts and figure – always make sure that the information given on the blog is of relevance and useful for readers.
•  Informative blogs – anyone can write a blog post, but not everyone’s blog is worth reading. Some blogs may be very long, and the reader might not read the entire blog. 
• Make a fascinating storyline – by giving examples and making it intriguing for the readers!
• Ensure that you write a blog that has catchy headlines.
• Finally, your blog is ready to get published
  
  Moreover, you need to pay for the following if it is your personal blog:
  
• Hosting

• Domain name

• Website design services (unless you plan to design for yourself)

Hence with the above-mentioned tips for the blog, you can become a successful article writer in 2023. Article writing is nothing but playing with simple words.   With the help of this article, you can  begin your career as an article writer. it ‘s never too late to begin a career

Conclusion:

We hope you enjoyed our blog post on how to become an excellent article writer. Becoming an excellent article writer doesn’t require a lot of experience or special skills; it simply requires taking the time to learn the basics. In our blog post, we outlined the steps you need to take to become an excellent article writer. We hope that this article was of help to you, and that you will continue to develop your writing skills. 

Recommended Post:

• Master Content Writing: 7 Skills to Improve Content Writing!

• Top 20 Content Writing Career Opportunities in 2023

• Content Writing Courses in Dubai- Top 10 Content Writing Institute
  

FAQs

Machine learning, broadly defined, is an application of Artificial Intelligence (AI) that teaches computers to think like humans. It works on data and studying patterns with minimum human intervention. This blog will help you understand what is Machine learning with examples, the different types of machine learning, its scope, and how you can make a difference in this area.

Let us first understand the meaning of Machine Learning. Primarily, we define machine learning as a sub-field of Artificial Intelligence. It allows applications to predict outcomes accurately based on the study of data and the use of algorithms. It helps the system to learn and improve on its own, based on previous experiences, without being explicitly programmed.There are many types of machine learning. Recommendation engines and Virtual assistants like Alexa and Siri are prominent machine learning applications. It is indispensable to the booming field of Artificial Intelligence. 

 Let us understand what is Machine Learning with examples.

 Well, to answer the query- “What is Machine Learning with examples” let us look at some day-to-day scenarios. It has affected many facets of our daily life. From chatbots and predictive texts to language translation apps, social media posts, and the shows that Netflix suggests- Machine Learning is behind it all! Apart from this, it also powers autonomous vehicles and can diagnose medical conditions based on images. Nowadays, apart from adults, very young children use Alexa, Google, etc., to answer their queries. 

So, now that we have learned what is machine learning with examples and have a better understanding of it let us dive deeper into its world.

Why are Enterprises investing in Machine Learning?

While the world of machine learning seems exciting with endless possibilities, what caught the enterprises’ interest? Well, enterprises are investing hugely in different types of Machine Learning. 

Some of the top reasons for enterprises to invest in Machine Learning are:

• Ability to leverage data to uncover critical insights
• Subsequently, these insights help drive the decision-making process
• Moreover, the data gives enterprises an idea about consumer behavior and business operation patterns, which helps them build the right products.

Even established companies are utilizing various types of machine learning to increase efficiency and add value to their customer experience, from banking to retail to even bakeries.

Where is machine learning used?

Machine learning has become an indispensable part of the enterprise business cycle. It has become imperative for enterprises to be aware of what machine learning can do and understand its limitations. Indeed, the tremendous impact of machine learning on enterprises is remarkable. For many companies, it has become the competitive differentiator.

Apart from the fact that there are many types of machine learning, we use it in many applications, like the ones mentioned below.

The recommendation engine that powers Facebook’s news feed is one of the popular examples of machine learning.

In addition to this, other prominent useless of machine learning are:

• Customer Relationship management
• Human Resource Information systems
• Virtual assistants
• Business Intelligence

How does machine learning work?

We have seen the various applications of machine learning, but how does machine learning work?

To understand how machine learning works, we need to realize that it is similar to how the human brain assimilates knowledge and gains an understanding. The machine learning process begins with data or observations, followed by identifying trends based on which it can make inferences. 

The primary goal of machine learning is to allow computers to think independently without human intervention and to adapt their behavior accordingly.

What are the limitations of Machine Learning?

 While machine learning helps enterprises in various facets of business across diverse sectors, it also has two significant disadvantages. They are:

• It can be costly – The Software infrastructure used is expensive, and the Engineers behind it command high salaries.
• Machine learning bias issue – When we exclude specific populations, or the algorithm contains errors, the model becomes biased. Thus, this leads the enterprise to make wrong decisions based on a biased model.

What are the types of Machine Learning?

Now that we have a basic understanding of what is machine learning and how machine learning works, let us look at different types of machine learning models.

 In traditional programming, we have seen how we give specific instructions to the computer to follow. But machine learning is all about computers programming themselves based on their experiences. More importantly, we must remember that machine learning is rarely straightforward and iterative.

Typically, the 4 Machine Learning types are:

• Supervised Learning
• Semi-Supervised Learning
• Unsupervised Learning 
• Reinforcement Learning

Most data scientists decide on the model based on the data that needs to be analyzed. Read further to learn about the types and their applications and limitations. 

What is Supervised Learning?

 Primarily, this machine learning model uses labeled datasets as inputs to train algorithms to classify and accurately predict data outcomes. In this case, the training set is used to get the desired output. For example, it helps in the prediction of Housing prices as well as Medical Imaging. 

In the Housing prices case, the data consists of features and labels, which are analyzed to make accurate predictions of the housing prices. While in the second instance of Medical Image analysis, it can diagnose any disease. So we can give the proper treatment based on the available medical datasets and medical image applications. 

It is the most common type of machine learning used today, which works well with data insights and improved automation.

Areas of application are:

• Classification models – Binary and Multi-class classification
• Regression modeling – Predict continuous values
• Predictive Analytics – Predicting future outcomes based on the study of past trends

Current challenges:

  Although supervised learning has the benefit of working with data insights and improved automation, the challenges faced are:

• The probability of human error is higher as people design the algorithms.
• The model needs top expertise to structure the input datasets to get accurate results.
• We need to do the data classification and cluster formation in supervised learning.

What is Semi-Supervised Learning(SSL)?

A few other notable areas of application are:

• Text classification – Helps to classify text based on the identified groups
• Image classification – Classification of the image into predefined categories
• Anomaly detection – To detect patterns or data observation points which differ from the normal

Challenges:

• It is only suitable for some types of learning problems.
• It poses a challenge for document classification and color-coded images.
• For complex problems, there are better options than semi-supervised learning.

What is Unsupervised Learning?

Unsupervised machine learning uses algorithms that work on large volumes of Unlabeled data. It identifies patterns or trends that emerge from the data and are, more often than not, unexpected by people. Besides, the discovery of patterns by the model solves association problems and clustering issues. Some standard clustering algorithms are hierarchical,k-means, etc.

Further, it helps enterprises understand consumer preferences and thus design their marketing strategies according to the target audience’s preferences. For example, it aims to make the companies customer-centric by using techniques like customer segmentation, market basket analysis, etc. In both these cases, a set of labeled data does initial classification, and we further segregate the remaining unlabelled data on this basis.

Application areas for unsupervised learning are:

• Visualization – Use of diagrams, charts, graphs, etc., to communicate information
• Clustering – Process of grouping data into different clusters
• Dimensionality Reduction – A set of principled variables reduce random variables
• Finding Association Rules – Identifying the relation between various parameters

Limitations:

• It provides less accurate results
• It has limited areas of application.

What is Reinforcement Learning?

  Reinforcement Learning (RL) is based on the science of decision-making. It is a machine learning model to get the maximum reward in a situation by finding the optimal solution. This model has no training set available, so the algorithm learns from its own experience.

In this algorithm, once we enter the input, it gets rewarded if it performs an action whose result is beneficial to the end and gets punished if not. 

One of the Adobe researchers proposed the RL-based algorithm, which displayed personalized recommendations for customers to maximize the customer lifetime value. Creating personalized offers that resulted in higher ROI became easy with optimizing customer lifetime value. 

AlphaGo is a 3000-year-old, highly complicated Chinese board game. There is a possibility of 10^270 board combinations in this game. In 2016, the RL algorithm defeated the top AlphaGo. In the latest version, the AlphaGo agent is playing against itself to improve its game, and this is not humanly possible.

Practical Applications of Reinforcement Learning:

• Robotics – For industrial automation
• Resource Allocation – A training system developed to help enterprises allocate resources
• Autonomous Driving – Includes vehicle path planning and motion prediction

Limitations:

• The maintenance cost is very high
• Reinforcement Learning agent needs extensive experience
• Lack of interpretability as the decision-making reasons based on experience are not obvious.

How do we choose the suitable model?

So, now that you know the various machine learning models, how do we decide which approach works best for you? Well, the data you work on and the desired outcomes help to determine what model works best for you.

Choosing the best machine learning model to address a particular issue can take much time if not done carefully. Let’s follow some broad guidelines to select the suitable model for you. 

How can we start a career in Machine learning?

Are you looking to jumpstart your career in Machine learning? Though there are a plethora of options online, the machine learning course by Henry Harvin sets up apart from the rest. Furthermore, it has all the relevant training needed to embark on this exciting journey.

Henry Harvin

Rating: 9.8 /10

If you are aiming to be a skilled AI and ML expert, this course by Henry Harvin is for you.

Course Name: Machine Learning with R

Learning Benefits of the course:

• Live interactive sessions for 32 hours.
• Develop a core understanding of Web development and Coding needed for building websites.
• Gain much-needed knowledge of Python right from the fundamental to advanced levels.
• 5+ hands-on practical projects covering domains like HR, Sales, Marketing, Finance and Multi-domain.
• Apply knowledge gained to real-life applications for experiential learning
• Expand your knowledge of Computer Graphic skills.
• Understand cluster analysis and regression.
• Tools covered include R and R studio

Course Highlights:

• It equips you with the latest AI technology needed to master machine learning.
• Experienced professionals presently empaneled with Henry Harvin as domain experts train the participants.
• Tailor-made course with the right tools to upskill or reskill your existing competencies in Machine Learning. 
• Earn a highly rewarding certificate as a Machine Learner using R on course completion.
• Become Alumni of the Elite AI & Machine Learning Academy
• 1 Year Gold membership to the Henry Harvin AI & Machine Learning Academy
• Guaranteed internship opportunity

Course Fees:

Rs.15000

Mode of instruction:

Online as well as in branches across various locations.

Similar courses offered:

• Machine Learning with Python
• Artificial Intelligence Course
• PG Program in AI and Machine Learning

Future scope of Machine Learning

 Machine learning is gaining traction everywhere. Whether improving sales, marketing, productivity, customer satisfaction, or business profit- almost all industries are implementing machine learning. 

As the prominence of Artificial Intelligence increases, the popularity of Machine Learning increases as well. Most of the major enterprises like Google, Microsoft, IBM, Amazon, and others are in a race to onboard machine learning which currently enjoys the most competitive spot in the Enterprise realm today.

 Platform services like data collection, preparation, and classification along with model building, training, and application deployment, are at the forefront of technology right now. This has led to increased interest in many IT professionals and new graduates to look at machine learning as a lucrative career option.

In the future, the machine learning platform wars will intensify owing to the growing importance of machine learning in the most likely scenario of, the Robot-dominated AI world of the future. 

Recommended Reading

• A tutorials for beginners in Machine Learning
• Top 20 machine learning books
• Standard machine learning case studies in IT operations
• Top 10 Machine Learning courses in India
• The ultimate guide to machine learning embedding

Conclusion

 Machine learning plays a direct or indirect role in our daily lives. Although machine learning is an emerging field, it is constantly evolving.  Various machine language applications will be used to survive in the future technological world. As a machine language engineer, you will be responsible for the testing and training of the algorithms to ensure the accuracy of the results increases.

The future belongs to those who can leverage Machine Learning to their benefit, as it is the Fourth Revolution.

Frequently Asked Questions

Eagar to know about mutual funds Vs bonds before investing? Let’s understand it.

You can invest in mutual funds, bonds, stocks, and many other financial instruments. They always come with high risk but also with high returns in long term. So, let’s understand mutual funds vs bonds.

Bonds are debt securities issued by corporate or governmental entities that repay the face value of the bond at maturity. Investors who buy the bonds are loaning money to the issuer and are therefore entitled to the repayment at maturity, as well as regular coupon payments throughout the life of the bond.

Mutual funds are a type of investment made up of a pool of funds from many investors. The money that is invested in a mutual fund is typically used to purchase a collection of investments, such as stocks, bonds, money market instruments, and other securities.

What is a bond?

A bond is a fixed-income financial security issued by corporations, governments, and other entities to raise capital. Bonds are generally considered to be a safe investment and are used by investors to spread risk and diversify their portfolios.      

Types of Bonds:

Government securities

Government securities (also known as government bonds or G-Secs) are debt instruments issued by the government of a country to raise funds from public and private investors.

Corporate bond

A corporate bond is a debt security that is issued by a corporation and sold to investors. Corporate bonds are issued for a variety of purposes, such as to raise capital for business expansion or to refinance existing debts.

Public sector

Public sector bonds are debt securities issued by the government at the federal, provincial, and municipal levels. They are typically issued to raise capital and fund public projects such as infrastructure, schools, and hospitals.

Sovereign Gold Bonds

Sovereign Gold Bonds (SGBs) are government securities. They are substitutes for holding physical gold. Investors can invest in SGBs which are issued by the Reserve Bank India on behalf of the Government of India. The Bonds provide an alternative for investors to invest in gold, with the benefits of liquidity and safety.

Advantages of investing in Bonds

Investing in Bonds offers many advantages like low risk and regular income. It’s another way to diversify your portfolio. Depending on the type of bond you purchase, the interest you receive may be exempt from state or local taxes. There are other benefits as well. Let’s have a look.

What is a Mutual Fund?

A mutual fund is an investment managed by a professional money manager that pools funds from many investors to purchase a diversified portfolio of securities, such as stocks, bonds, and money market instruments. Investors receive a share of the profits or losses of the fund and can withdraw their money at any time. Mutual funds are typically more diversified, more liquid, and have lower fees than other types of investments.

Types of Mutual Funds

Equity funds are funds that invest mainly in stocks. They are designed to grow over the long term as the stock market grows.

Bond funds are funds that invest primarily in fixed-income investments such as bonds. Bonds are usually issued by governments and other entities for a specific amount. Bond funds are designed to provide a steady return with low risk.

Hybrid funds are a combination of equity and bond funds. They provide a combination of both stock and bond investments. These funds are designed to offer a balance of both capital appreciation and income. Hybrid funds can provide diversification across multiple asset classes and reduce risk.

Advantages of investing in Mutual Funds

Low cost, diversified portfolios, professional money management, access to specialized investments, and potential for higher returns than other investment options. There are other benefits of investing in a mutual fund. Let’s know them quickly.

Bonds vs Mutual Funds

Concluding thoughts

Investing your precious money is always a wise decision. But you should be aware of how to invest that hard earn money wisely. When choosing between mutual funds and bonds, it’s important to carefully ponder the pros and cons of each before making a decision.

Mutual funds offer the potential for greater returns than bonds, but they also come with greater risks and can be more volatile than bonds. Bonds, on the other hand, offer greater security, but their returns are generally lower than those of mutual funds. Ultimately, the decision should be based on your own individual risk tolerance and goals.

FAQS

How to invest in debt funds?

1. Research the debt fund in which you want to invest based on several parameters.
2. Then choose the debt fund that best meets your investment goals and time horizon.
3. Invest in the chosen debt fund by setting up an account with the fund manager or through an online broker.
4. Monitor your investments and make changes to your holdings as needed.

What are short-term debt funds?

Short-term debt funds are mutual funds that invest in a variety of fixed-income securities with a shorter duration or maturity date than long-term debt funds. These funds invest in securities such as Treasury bills, government bonds, corporate bonds, and money market instruments.

Are bonds safer than mutual funds?

It depends. Mutual funds are generally considered to be relatively safe investments, but they do come with some risks. Bonds are generally considered to be safer than mutual funds, as they tend to have a lower level of volatility and their rates of return are more predictable.

What are the risks involved with mutual funds?

As with any investment in the financial instrument is subject to risk, meaning the value of the fund can fluctuate due to many external factors. Risks involved in Mutual funds are dependent on Market Risk, Interest Rate Risk, Credit Risk, Liquidity Risk, Investment Strategy Risk, and others.

What are the risks of bonds?

Investing in bonds brings along the following risks:

1. Interest Rate Risk
2. Credit Risk
3. Inflation Risk
4. Liquidity Risk

Foreword

I must say this is a very pertinent blog in today’s times. Particularly so because Information Technology (IT) has proliferated in every aspect of our lives, individual as well as business. Note that, earlier, students pursuing online computer courses invariably ended up being programmers engaged in software development or support. However, the IT landscape has undergone a mammoth transformation since then.

Importantly, this has resulted in the sprouting of a host of career options for computer literates. In harmony with these career options, training institutes have intelligently crafted computer courses to get a job. Therefore, on completion of the online computer courses with a certificate, you are industry-ready. and fully equipped to launch the career of your choice.

If the prologue sounds interesting, let me now introduce the top 10 online computer courses to get a job.

1. Data Science

With the rampant digitalization of modern life, data plays a pivotal role in shaping the quality of our lives. In fact, businesses churn out huge volumes of data every day as part of their regular operations. It is the structured analysis and visualization of this data that generates actionable insights. Subsequently, these insights facilitate effective decision-making for devising potent business strategies. And all this is possible because of Data Science. Data science combines mathematics and statistics, specialised programming, advanced analytics, Artificial Intelligence (AI), and Machine Learning (ML) with subject matter expertise in specific domains.

Using a potent combination of tools, roles and processes, Data science projects start with:

• Ingestion of data wherein you collect data from multiple sources
• Processing of data for transforming the raw unstructured data into structured that can set the stage for data analysis
• Analysis of data where the magic happens. Here, analysts apply various data modelling techniques to draw insightful insights from data for Machine Learning, predictive analytics, and/or deep learning
• Communication is the final stage of the lifecycle. Here you subject the outcome of data analysis to data visualization techniques. This helps to present the inferences in the form of powerful reports and dashboards to business users to aid decision-making.

The average annual salary of a Data Scientist in India is INR1,000,000. This career option is undoubtedly a very promising one. So, if you are keen to pursue Data Science, start exploring the online computer classes near you. Undoubtedly, Data Science is the most popular among the top 10 online computer courses to get a job.

2. Big Data Engineering

Along the lines of Data Science, Data Engineers work with data, but there is a difference. Analysing Big Data is not a straightforward task of collecting, processing, and analysing data. Instead, Big Data Engineering requires data experts, sophisticated tools, and complex algorithms. Collectively, they help to transform and store data in a dedicated database for creating Machine learning-based solutions.

The stages through which Data Engineers proceeds include:

• Data Collection: Based on business requirements, identify the data sources. Then collect data in all forms – structured as well as unstructured
• Data Storage: Create a Data Lake, which is a data pool for storing all forms of data. Indeed, this is an inevitable component for organizations working with Big Data
• ETL: Extract, transform, and load data from the Data Lake into a Data Warehouse. Note that this process includes data discovery, data mapping, generation of code, execution, and data review.
• Data Warehousing: Analyse data to draw meaningful insights. Consequently, businesses use these insights to take decisions that shape the business landscape.
• Data Management: Effectively manage the data in data warehouses to ensure optimum utilization. Else, a long gap between data collection and data usage may lead to data silos. In other words, this renders the Big Data Engineering project futile.

To be a successful Big Data Engineer, specialise in the fields of Data Structuring, SQL, Python, Data Pipelines, and Data Modelling. Additionally, a robust working knowledge of data tools such as Apache Hadoop, Apache Spark, Apache Kafka, etc. is a bonus.

The average annual salary that a Big Data Engineer draws in India is INR 779,887.

If the package excites you and you find interest in building the above skill set, find a good online computer class near you and enrol yourself for an online computer course. Certainly, this grabs a significant position in the list of top 10 online computer courses to get a job.

3. Data Analytics

Data Analysis involves logical thinking and exhaustive work on statistical techniques. Specifically, it helps to prepare structured data from raw data and spot trends, hidden correlations etc. Using them, you can draw meaningful inferences that support effective decision-making.

While this appears similar to Data Science, there are some differences between the two. Data analysts work with data, answer questions, and provide insights to business users. Data scientists, on the other hand, focus on automation and improvement of the overall process. The two groups also significantly differ in terms of the tools used and the skills needed.

Data Analysis is of four types: Descriptive Analytics which answers the question “What happened?”, Diagnostic Analytics which aims to find an answer to the question of “Why it happened?”, Predictive Analytics to explore what can happen in the future. Finally, Prescriptive Analytics recommends the best course of action for business users for devising business strategies.

The average salary for a Data Analyst in India is INR 427,303 per annum.

So if you are eager to study Data Analytics, look for online computer courses. Particularly, select courses that offer certificates and be ready to hit the market as a certified Data Analyst. The list of top 10 online computer courses to get a job can never be complete without it.

4. Artificial Intelligence (AI)

With the advance of digitalization in our lives, we are increasingly dependent on machines to do our jobs. We are now even replacing human minds with computers. These systems simulate the process in which human minds think and perform intelligent actions. By now you must have surely guessed that I am referring to Artificial Intelligence.

Machine Learning (ML), a subset of AI is another strong contender in the list of top 10 online computer courses to get a job. It deals with computers learning from and adapting to new data on their own, without any human assistance. Deep Learning is another subset of AI. It enables learning through the absorption and assimilation of huge volumes of unstructured data. Data can be in the form of text, images, or videos.

This branch of computer science application suits you if you have a background in Data Science or applied Research. Typically, a Machine Learning Engineer requires to demonstrate in-depth knowledge in multiple programming languages like Python, Java etc. possess an understanding of predictive models, and the ability to harness the power of Natural Language Processing to work with mammoth data sets. Additionally, analytical skills and knowledge of Could applications are considered a bonus in this field.

So, to groom yourself as a successful Machine Learning Engineer, join online computer classes near you, particularly online computer courses with certificates. You shall then be ready to hit the market with a bang!

5. Search Engine Optimization (SEO)

With the proliferation of digitalization in our lives, the marketing industry is witnessing a radical shift. Traditional marketing is increasingly being replaced by digital marketing. This shift is apparent when we find ourselves hooked to social media apps using our mobile devices for the majority part of our waking hours. No wonder digital marketing is forecasted to grow at a CAGR of 13% between 2023 and 2028.

Interestingly, it is the art of SEO that content writers employ tactfully to develop content for Websites. This forms the backbone behind the success of digital marketing. Understandably, therefore, SEO is yet another powerful candidate in the list top 10 online computer courses to get a job

To master this art, you must develop skills in Search engine Marketing, Content Marketing, social media marketing, branding, marketing analytics etc.

So, to establish a strong foothold in the fast-growing digital marketing industry, join an online computer course. This is just the right decision for you. However, with the market flooded with people vying for a slice of the market share, you must opt for an online computer course with a certificate when you explore computer classes near you. In other words, computer courses to get a job help you gain experiential learning. So, you are industry-ready when you step out into the job market.

6. Software Development

This is and shall always be at the soul of the evergreen IT strategy. Even with the emergence of a wide range of computer specializations, programming languages remains the undisputed leader in the IT industry.

To master the art and science of programming, however, there is no single computer course that can teach you all. Instead, there is a plethora of online computer classes. To be precise, they offer training on programming language courses, Web development courses, mobile app development courses, Web design courses, or even courses on Cybersecurity, Networking, and many more.

So, develop skills in C++, JavaScript, Android, iOS, Unity, Java, or ReactJS, depending on your specialization field. Accordingly, to acquire these skills, you must select an appropriate training provider that offers online computer courses with certificates. This will help you secure a job for yourself with an average annual salary of INR 5,00,000 in India.

7. CyberSecurity

This is the practice of protecting sensitive information and critical systems from digital attacks, commonly termed cyber-attacks. Businesses operating in the fintech, HR, health, or e-commerce domains particularly deal with sensitive data. Moreover, they rely heavily on online data and transactions. Consequently, it is imperative for them to set up a resilient Cyber security system to thwart undesired networks and cyberattacks.

One significant point to note here is that with the advancement of technology, cyber attackers are growing even more powerful. In fact, they are growing adept at launching fatal attacks using state-of-the-art technology and tools. Therefore, to be a CyberSecurity expert, you must join an online computer course. Such a course trains you to understand the causes and effects of vulnerabilities and cyberattacks. It must also help you develop in-depth knowledge and expertise in adopting preventive and proactive measures.

In other words, before joining any online computer class near you, ensure that they help you develop skills in firewalls, networking, virtualization software, scripting languages, and many more. Once you complete a certification course in these skill sets, you can be ready to hit the job market with an average annual package of INR 720,111in India.

8. Web Development

With digital marketing fast replacing traditional marketing, marketers are increasingly looking for Web developers who can develop dynamic websites. This results in Web developers being in high demand for acting as the strongest brand ambassador for their clients. Leveraging the high demand, Web developers enjoy a healthy salary package. It averages around INR 380,607 per annum in India together with the flexibility to work from home or even freelance.

Typically, a Web developer must gain command over skills such as HTML, CSS, JavaScript, PHP, Python, Java, .Net, etc. For this reason, to develop expertise in these, you must look for training providers who offer online computer courses with certificates. Important to realise that in a market flooded with Web developers, it is your certificate that gives you an edge over others. And sets you ahead of your competitors in the job market.

9. Web Design

This is one area where you can flourish if you have a knack for visuals and graphics. This is because the design of a Web site plays a vital role in attracting traffic, apart from the well-manicured content, to score high on the search results. To be precise, Web designing involves the creation of attractive logos, Web pages, brochures etc. using Web developing elements such as HTML, CSS, JavaScript etc. In addition, Web designers must be adept in working with graphic tools including Adobe Photoshop, Adobe Illustrator, CorelDRAW, and others.

Enjoying the same popularity as Web developers, Web designers draw an average annual salary of INR 362,103 in India. However, to stand out from the crowd, you must find computer classes near you that offer online computer courses with certificates.

10. VFX Training and Character Animation

The last couple of decades has witnessed the entertainment industry shift increasingly towards animated movies, animated games, cartoon games etc. Interestingly, they form the core of augmented reality or virtual reality used majorly in video games and make extensive use of high-quality graphics. To enter this exciting world, you must possess a creative bent of mind coupled with hands-on experience in VFX effects, software skills, character development, animation, and more.

Additionally, you can aim to gather knowledge of tools like Maya, Adobe Photoshop, Blender etc. if you are planning to pursue VFX training and Character Animation as a career option. Moreover, before finalizing the online computer course, be mindful to focus on the organizations that offer computer courses to get a job, at an average annual remuneration of INR 312,383.

Summing Up

Finally, we are at the end of the tour covering the top 10 online computer courses to get a job. With advancements in technology, computer professionals now enjoy access to a multitude of opportunities. In tandem with career opportunities, the Ed-tech industry has designed online courses with certificates that get you industry-ready. Depending on your area of interest, explore any of the courses discussed above and get ready to take off.

Frequently Asked Questions