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

By P Kumari

Data analytics is one of the fastest-growing career options and is now a priority for top organizations; so it's necessary to know what exactly data analytics is? Why it is a need in every profession and what kind of benefits you will get from this course. Let's have a look:


What is Data Analytics?

As the process of analyzing raw data to find trends and answer questions, the definition of data analytics captures the broad scope of the field. However, it includes many techniques with many different goals.

The data analytics process has some components that can help a variety of initiatives. By combining these components, a successful data analytics initiative will provide a clear picture of where you are, where you have been, and where you should go.

Why Data Analytics?

Here goes a few best reasons, which can help you in boosting your career growth-

1. Top priority in a lot of organizations

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

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

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

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

    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

    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.

It would be easy for you to bag an entry-level data-analyst job or other data-related job roles after completing the Introduction to Data Analytics Course for free.

List of few courses that can help you in initiating or boosting your career with Data Analytics:

  • Beginner's Guide to Data & Data Analytics, by SF Data School
  • The Complete Data Analytics Course in ExcelThe Complete Introduction to Data Analytics with Tableau
  • Statistics & Mathematics for Data Science & Data Analytics
  • Python for Finance: Investment Fundamentals & Data AnalyticsIBM Data Analyst Professional Certificate
  • Introduction to Data Analysis using Microsoft Excel
  • Foundations: Data, Data, Everywhere
  • Data Analysis and Visualization Foundations Specialization
  • Meta Marketing Analytics Professional Certificate
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