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                      Our Track Record
                      Because words aren’t enough, we let numbers do the talking. 🙌

                      50%
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                      400%
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                      INR 73 LPA
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                      Data Science Programs
                      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
                      • No coding experience required.
                      • 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.

                      Data Science Articles

                      Find the latest and informative post on Data Science. Keep yourself updated, know the current trends in Data Science industry and use cases for data viz and data storytelling.

                      Frequently Asked Questions

                      Data Science FAQ

                      What should you know to do a data science course?

                      The only prerequisite for the course includes a little experience in programming and hold in Engineering mathematics (such as calculus, probability, differential equations, Linear Algebra, etc.).

                      What qualification is required for data science?

                      Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience is required.

                      What are the Roles and Responsibilities of a Data Scientist?

                      Like any other scientist, a data scientist has a fair few tools in her arsenal, which they use based on the situation. For example, suppose the problem is obvious enough. In that case, it can be solved using a simple visualization, which will be made in a BI tool like tableau or even MS Excel to some extent; as the problem becomes more complex, the tools to be used to crack them become more sophisticated. They might range from the plain vanilla logistic regression to an ensemble of neural networks built to utilize data coming from an NLP functioning.

                      Is data science a good career?

                      Data Science is one of the most popular career choices with tremendous opportunities and high demand. Every industry is now leveraging data to help them build strategies and plan for the future. With Data Science, you can solve real-life challenges and provide smart solutions to many, which is why Data Scientist has been called "the most promising career" by LinkedIn and the "best job in America" by Glassdoor.

                      Does Data Science need Statistics?

                      Yes, Statistical analysis helps to generate statistics from stored data. The results can then be analyzed to infer insights and conclude meaning about the entity being analyzed.

                      Is this Data Science course is for freshers or experienced professionals?

                      This program is well suited for freshers or experienced professionals.

                      Is coding required to do Data Science?

                      You’ll be using programming languages to organize, clean, and make sense of data. Hence, you need to be fluent in its use to perform these basic tasks efficiently. Work and develop mastery in R, Python, Perl, Java, C/ C++, and SQL. Python and R are the most important programming languages for coding in data science.

                      What will you learn in a Data Science Course?

                      The top skills you will learn are Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data, Natural Language Processing.

                       

                      Common Curriculum: Basics of SQL, Python, Statistics, and EDA, Basic Machine Learning Models

                       

                      Data Science Generalist: Advanced Machine learning & Storytelling, Advanced Programming & Databases

                       

                      Deep Learning Specialization: Advanced Machine Learning, Neural Networks

                       

                      NLP Specialization: Advanced Machine Learning, Natural Language Processing

                       

                      Business Intelligence: Advanced SQL and NoSQL Databases, Storytelling with Advanced Visualization

                       

                      Business Analytics: Advanced Machine Learning, Storytelling, and Advanced Business Problem Solving

                       

                      Data Engineering: Data Modelling and Data Warehousing, Building Data Pipelines, Data Streaming, and Processing

                      What is the Data Science course duration?

                      It varies with the program/course you choose. For Executive PG Programme in Data Science in collaboration with IIITB, duration is 12 months with recommended 12-15 hrs/week. You can refer to our website pages for complete information offered and the brochures.

                      What is the scope of data science in India?

                      Analysts predict that the country will have more than 11 million job openings by 2026. In fact, since 2019, hiring in the data science industry has increased by 46%. Yet, around 93,000 jobs in Data Science were vacant at the end of August 2020 in India. Data Science and Machine Learning have a steep learning curve.

                      Disclaimer

                      Past record is no guarantee of future job prospects. Terms and conditions apply.