Overview
    According to a report by the US Bureau of Labour Statistics, the rise of data science needs will create approximately 11.5 million job openings by 2026. The World Economic Forum predicts that by 2022, data scientists and analysts will become the number one emerging role in the world.
    India is the second most prominent hub of such positions after the United States. So, data science is a highly employable and appealing sector as per the current industry trends.
    Data science, as a field, has established itself as a top career option. Its importance in business cannot be downplayed. Experts already rate it as one of the highest-paying careers of the 21st century. Government, as well as private organisations are on the lookout for competent Data Scientists and there exists a scarcity of the same.
    In 2017, McKinsey estimated that bad data could be costing the US government roughly $3.1 trillion a year. On the other hand, the country can also save $300 billion to $450 billion on healthcare expenditure through concentrated data initiatives.
    The overwhelming value that Data Science provides to organisations, economies, and the people is why it has exploded in the past few years and why companies are willing to pay high-salaries to the people with the right skill sets.
    Ideal educational qualifications:
    • Bachelor’s degree in IT, Computer Science, Maths, or a related field.
    • Master’s degree in Data Science or a related field.
    • Experience in the field you want to work in (physics, healthcare, pharma, etc.)
    Ideal pre-requisite knowledge:
    • Knowledge of statistics, mathematics and machine learning
    • Coding in R or Python
    • Ability to study databases: the data types, the technologies used to store them, and how they are retrieved
    • Knowledge of tools like Hadoop, Spark, and MapReduce. Couple these with visualization and data reporting tools like Tableau.

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    Notes
    Data Science is an amalgamation of maths, computing, statistics and people. Here is a list of skills that you’ll need to hone for a career in Data Science:
    • A good hold in Statistics, Mathematics, and Machine learning
    • Fluency in a coding language, probably R or Python
    • An understanding of databases
    • Experience with big data tools like Hadoop, Spark, and MapReduce
    • Experience with data munging, visualization, and reporting tools
    Further skill development will take place through competitions, pet projects, internships, boot camps and by meeting fellow data scientists.
    Below is the typical trajectory followed in a Data Science career, along with the roles and responsibilities involved:
    Step #1: Executive
    Executives might be MBA graduates or BBA freshers. They are typically involved in the making of CRM reports, MIS (Management Information System) and DQA (Data Quality Assessment).
    Step #2: Analyst
    Analysts are involved in product tech support, data munging, sales lead, CRM, data visualization, advanced statistics, MDM corrections and carry out all the roles and responsibilities related to the same.
    Step #3: Business Analyst
    Most people confuse business analysts with analysts, but the former is 1 step above. Hence, their concerned domains also differ and include product/ project SDLC, programming logic and solutions, vendor coordination, MDM & logics, and business processes.
    Step #4: Data Architect
    The role of Data Architects generally revolve around data warehousing, data architecture development, data modelling, ETL working, data cleaning, and elastic working and functionalities.
    Step #5: Chief Data Officer/ Data Scientist
    The CDO works with advanced data algorithms, advanced predictive algorithms, big data processing, NoSQL, and ETL logic. Their primary task is also to innovate and hence, they are the creators.

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    How good is the Data Science Course from IIIT Bangalore?

    upGrad PG Diploma in Data Science Program is in collaboration with IIIT-B. At upGrad we have empowered 12,600+ students in various fields ranging from Machine learning to Data Science to Data Analytics.  More than 500 learners have had a successful transition with 72 LPA as the highest salary. Once the program is over you will have job opportunities in various roles such as Machine Learning Engineer, Data Engineer, Data Scientist, Data Analyst, etc.

    How are placements & career support after PG Diploma in Data Science?

    upGrad arranges hiring drives for our learners from every field, including the Data Vertical. So far, upGrad has empowered 12,600+ students in the field of Data Science. Specifically in the data Science program from IIIT-B, over 500 learners have had a successful career transition with the highest salary of 72 LPA and an average salary hike of 58%. Our students are working with top organisations like KPMG, Huron Consulting Group, Tata Consultancy, Tata Motors, Wipro, Accenture, Time Inc. and many more.

    What are the important features upGrad's Data science program?

    1. Student Mentor Support With the constant support and motivation, studying for the program becomes very easy. They will be available to solve all your non-technical queries.  Peer to Peer Interaction.
    2. Through our interactive and fun-filled basecamps, live sessions, and career-building workshops which are held by industry professions you will get to participate in group activities along with your peers with a similar profile as yours.
    3. 5 Unique Specialisations You can select from 5 specialisations as per your background and career aspirations. You will also get a PG Diploma in Data Science from IIIT-B with a specialisation.  
    4. Dedicated Career Assistance Receive personalised career counseling sessions along with mock interviews with hiring managers. We have more than 300+ hiring partners which can help in enhancing your career.