{"id":267681,"date":"2025-02-03T13:02:06","date_gmt":"2025-02-03T13:02:06","guid":{"rendered":"https:\/\/imarticus.org\/blog\/?p=267681"},"modified":"2025-02-03T13:02:06","modified_gmt":"2025-02-03T13:02:06","slug":"career-in-data-science","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/career-in-data-science\/","title":{"rendered":"Step by step Guide towards your Dream career in Data Science"},"content":{"rendered":"

Data Science happened, more or less by accident and turned into the most in-demand profession-cut across the lines industrial-in or out of an organisation, for many high-paid opportunities in job hunts.\u00a0<\/span><\/p>\n

Since many organisations kept multiplying their number of data-based decision, added worth was being tagged onto already capable human resource end. In case you are interested in setting up a career in data science but have no idea of where and how to start off this process, then a step-by-step guide here ensures that guidance in getting into this field which is most dynamic one.<\/span><\/p>\n

Indian data science landscape\u00a0 is expected to grow more than 33% between 2020 and 2026, driven by the surge in data-driven policies implemented in finance, healthcare, and e-commerce.<\/span><\/p>\n

Knowing the right way, whether one is a fresher or a professional looking for a change in his field of career, it is extremely important. Now let’s start our journey in learning how to build a successful career in data science, be it in India or abroad.<\/span><\/p>\n

Why a Data Science Professional?<\/b><\/h2>\n

Rising Need for <\/b>Data Science<\/b> Professionals<\/b><\/h3>\n

Now, more and more industries are data analytics-based. There is a huge requirement for data scientists. Companies require them since they possess the art of extracting insight from large sets of data that would then govern the business decisions based on data. Pretty good money, too, along with job security.<\/span><\/p>\n

Good Salary Packages and Job Security<\/b><\/h3>\n

Data science jobs provide good salary packages with job security. The average remuneration of a data scientist lies between 10-15 LPA. The remunerations of the experienced data scientists even surpass 30+ LPA. The sufficient number of jobs is offered since there is demand for this all around the world.<\/span><\/p>\n

Opportunities Across Multiple Industries<\/b><\/h2>\n

Except for IT, finance, health, and retail, an e-commerce market requires a data scientist to innovate and bring efficiency to their venture.<\/span><\/p>\n

How do I get into <\/b>Data Science<\/b> as a career?<\/b><\/h3>\n

Step 1 \u2013 Solid Foundational Study<\/b><\/p>\n

To get into a career in data science, you will have to complete a solid foundational study of the following:<\/span><\/p>\n

Mathematics & Statistics \u2013 Understand probability, linear algebra, and inferential statistics.<\/span><\/p>\n

Programming Languages \u2013 Learn Python and SQL, which are widely used in data science.<\/span><\/p>\n

Data Manipulation & Visualisation \u2013 Gain proficiency in tools like Power BI, Tableau, and Excel.<\/span><\/p>\n

Step 2 \u2013 Enroll in a <\/b>Data Science<\/b> Course<\/b><\/p>\n

You are to be taught industry-related skills in considerably lesser time due to the proper structure of this data science course<\/a>.\u00a0<\/span><\/p>\n

The post graduate program, Data Science and Analytics, designed by Imarticus Learning carries 100 per cent job assurance with 10 guaranteed interviews to be done as well. From 25+ real-world projects, you will get hand-on exposure by expert faculties about the topics of Python, SQL, and Power BI.<\/span><\/p>\n

Step 3: Work on real-world projects.<\/b><\/p>\n

Work with real-world datasets, projects with hiring managers want to see an exposure that you have about something they’re dealing with in the real world. It would be the best opportunity to come out from the crowd when applications do job.<\/span><\/p>\n

Step 4: Strong Portfolio<\/b><\/p>\n

This would make you appear in the interviews since through the portfolio people will envision your data science world of models and visualizations. Thus, use GitHub or Kaggle or both for showing off your work.<\/span><\/p>\n

Step 5: Industry Exposure through Internships<\/b><\/p>\n

Internship Exposure: They definitely are going to provide you with industry exposure along with excellent networking. A theoretical world connection creates a link to the practical world.<\/span><\/p>\n

Step 6: Keep yourself updated with current trends.<\/strong><\/p>\n

Data science industry is changing really very fast. Keep updating the blogs in industry as well advanced courses and hackathons too.<\/span><\/p>\n

Best Data Science Course to Grow Career<\/b><\/h2>\n

It is a postgraduate program offered on data science and analytics by Imarticus Learning suitable for freshers as well as working professionals looking forward for the career path change. It covers:<\/span><\/p>\n

    \n
  • A 6-month program with relevant data science skills.<\/span><\/li>\n
  • 10 Job interviews are offered with the best recruiting partners.<\/span><\/li>\n
  • Live classes, which are interactive sessions with industry experts.<\/span><\/li>\n
  • 25 + hands-on projects based on business problems are offered.<\/span><\/li>\n
  • Imarticus COE participates in hackathons to enhance skills and for recognition.<\/span><\/li>\n<\/ul>\n

    Average salary hike is 52% and the highest salary is 22.5 LPA, hence this program has high employability and career success.<\/span><\/p>\n

    Career Opportunities in <\/b>Data Science<\/b><\/h2>\n

    Data Scientist<\/b><\/h3>\n

    A data scientist analyzes complex data sets to look for business insights. He\/She works with machine learning algorithms and predictive models in ways that help solve real-world problems.<\/span><\/p>\n

    Data Analyst<\/b><\/h3>\n

    Data analysts are more concerned about the interpretation and visualization of data and help organizations make data-driven decisions using applications like Power BI and Tableau.<\/span><\/p>\n

    Machine Learning Engineer<\/b><\/h3>\n

    Most of the decisions of the sectors are automated due to the actual implementation of concepts of machine learning models as they are designed and implemented by the ML engineers.<\/span><\/p>\n

    Business Intelligence Analyst<\/b><\/h3>\n

    Business Intelligence Analysts assists in implementing the visualization tools through which raw data is converted into meaningful insights to be used for strategic decision-making purposes by the companies.<\/span><\/p>\n

    Data Engineer<\/b><\/h3>\n

    Data engineers create as well as maintain pipelines through which clean-structured data can be easily utilized in analyses.<\/span><\/p>\n

    FAQs<\/b><\/h3>\n
      \n
    1. Would it be possible to have a career in the field of Data Science for Fresher?<\/b><\/li>\n<\/ol>\n

      Hence, Always! Fresher can make any career in the field of Data Science if a fresher comes out with apt set of skill and hands on experience. There is much-need structured to the data Science course.<\/span><\/p>\n

        \n
      1. How To Learn Data Science?<\/b><\/li>\n<\/ol>\n

        The best way to learn data science is through a hands-on course in data science with job guarantee, practical work on the projects, and industry exposure in the form of internships.<\/span><\/p>\n

          \n
        1. How long will it take to become a data scientist?<\/b><\/li>\n<\/ol>\n

          6 months to 1 year would be enough time to become ready for the job, depending upon the prerequisite knowledge<\/span><\/p>\n

            \n
          1. What is the salary for a data scientist in India?<\/b><\/li>\n<\/ol>\n

            Entry-level salary from INR 8-12 LPA; experienced ones above INR 25 LPA<\/span><\/p>\n

              \n
            1. Which domains engage data scientists?<\/b><\/li>\n<\/ol>\n

              The financial sector, health care, e-commerce, retail, and the technology sector have hired actively to get on par with the business strategy<\/span><\/p>\n

              Conclusion<\/b><\/h3>\n

              One of the most rewarding careers, if one considers great growth opportunities, good job security, and high remuneration is that of data science. With the right kind of learning path and getting practical experience by enrolling into a structured course of data science, one can get a successful career ahead.<\/span><\/p>\n

              Choose Imarticus Learning Postgraduate Program in<\/span> Data Science and Analytics<\/span>. Leap into the fast-emerging industry today.<\/span><\/p>\n