Why Data Analytics is needed in every profession? Check out list of free courses for faster growth

1. Top priority in a lot of organizations

About 77% of top organizations consider data analytics a critical factor of their business growth. As a big data analytics professional, you will be analyzing an immense volume of data in order to arrive at critical business insights, which can have a huge impact on a company's policy and marketing strategies.

2. Good Salary

According to Ambition box, the Average salary for a Data Analyst in India is 4.3 Lakhs per year (₹35.8k per month). Salary estimates are based on 39256 salaries received from various Data Analysts across industries. But the Average Starting Salary for Data Analyst in India is around ₹1.9 Lakhs per year (₹15.8k per month). 1 year of minimum experience is required to be a Data Analyst. The highest salary that a Data Analyst can earn is ₹11.2 Lakhs per year (₹93.3k per month). With these salary scales in India only and in other countries like the UK, a data scientist with limited experience can expect to make an average of £61,000. Once they attain over 10 years of experience, they can make an average of £90,000 annually according to a search in Fasthire organization.

3. Heavy Demand of Data Analytics

According to Singapore government websites, experts who can extract useful information from large amounts of data and integrate their business expertise with knowledge of data, to solve the challenges arising in the improvement of business are in demand.

Companies face challenges with data organization. Though data is one of the essential components of every organization, it gets challenging when it comes to its proper organization. Almost every industry's main moto is how to use big data for business and people decisions. The power of analytics is being explored and harnessed by companies from all spaces and even all sizes.

4. Various Opportunities

A data analytics professional has various kinds of job titles and fields from which to choose. Since big data is used almost everywhere today, you can choose to be a:

• Metrics and Analytics Specialist
• Data Analyst
• Big Data Engineer
• Operation Analyst
• Sales Analyst
• Financial Analyst,
• Marketing Analyst
• Data Analytics Consultant



5. Flexibility of working in any sector

Data, of course, plays a central role in analytics. Marketing, usage, and budgeting, for example, all rely on data pooling to some extent. As a data analytics professional, you're not usually limited to working in a particular industry, which can be a plus point. Every industry benefits from data analytics. Some of the core industries where you can see a high demand for data analytics professionals include financial, healthcare, retail, logistics, and human resource management.



List of free courses for faster growth in career

Some academics like Udemy, Career360, upGrad providing free courses on data analytics which you can learn online. Let's have a look at the lists.

1. Business Analytics

Business analytics is a field that drives practical, data-driven changes in a business. It is a practical application of statistical analysis that focuses on providing actionable recommendations.

2. Data Science

It is a field of study applicable to reasoning massive data volumes by using advanced technology and techniques to discover patterns, important information, and insights that drive effective decision making."

Today's data scientists use tools like AI and complex machine learning algorithms to build predictive models for the purpose. The data used for the purpose of analysis comes from various sources such as websites, apps, social media, third-party websites, marketing campaigns, as well as customer support platforms.