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Featured Programs for you

Viewing 8 programs
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Executive PG Programme in Data Science | 12 months
#1 Data Science programme with 6 unique specialisations and 60+ industry projects
Ranked among the Top 10 Technical Universities in India. (India Today, 2020)
Starts On
May 31, 2022
Eligibility
Bachelor’s Degree | 50% marks min.
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MS in Data Science | 18 months
Get free python programming bootcamp with 60+ case studies & projects
Access to global job opportunities with timely doubt resolution
Starts On
May 31, 2022
Eligibility
Bachelor’s Degree | 50% marks min.
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MS in Data Science | 24 months
Get 30+ live learning sessions, masterclass by industry experts & 25+ case studies
Access to global job opportunities with timely doubt resolution
Starts On
Jun 29, 2022
Eligibility
4 Yrs Proven Academic Term
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For Managers
Professional Certificate for Business Decision Making | 8 months
Access to 20+ live learning sessions with 5+ expert coaching sessions and 3 industry projects
Case based pedagogy
Starts On
Jun 29, 2022
Eligibility
Bachelor’s Degree | 50% marks min.
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Caltech CTME Data Analytics Certificate Program | 9 months
Blended Program with online and live sessions.
Masterclasses from Caltech faculty and live training from Full Stack Academy
Starts On
Jun 30, 2022
Eligibility
English & computer skills mandatory
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Professional Cert. Program - Data Science & Business Analytics | 10 months
Learn from a leading US university, online.
Work on a capstone project in a domain of your choice
Starts On
Jun 29, 2022
Eligibility
Bachelor's Degree
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Advanced Certificate Programme in Data Science | 8 months
Get free python programming bootcamp with fortnightly mentorship from industry experts
300+ hours of learning; access to 7+ case studies & projects
Starts On
May 31, 2022
Eligibility
Bachelor’s Degree | 50% marks min.
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Advanced Programme in Data Science | 12 months
Learn Predictive Analysis, Data Analysis, Machine Learning, Data Visualisation, and more.
Designed for working professionals.
Starts On
Jun 30, 2022
Eligibility
Final Year Students Can Apply
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                      Our Track Record

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                      50%

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                      400%

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                      Data Science Programs
                      Skills required to be a Data Scientist
                      Skills required to be a Data Scientist
                      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.
                      Career path for a Data Scientist
                      Career path for a Data Scientist
                      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.

                      Difference Between Data Science and Data Analytics

                      Difference Between Data Science and Data Analytics

                      In this article, we’ll address the Data Science vs. Data Analytics debate, focusing on the difference between the Data Analyst and Data Scientist.

                      Why is Data Science Important for Business?

                      Why is Data Science Important for Business?

                      Want to learn why data science is important and how it works? Know about the 8 ways data science brings value to the business and increases growth exponentially.

                      Data Science Life Cycle: Step by Step Explanation

                      Data Science Life Cycle: Step by Step Explanation

                      This article walks you through all the phases of the data science life cycle and helps you ace your data science career.

                      Frequently Asked Questions

                      Data Science FAQ

                      Disclaimer

                      • Past record is no guarantee of future job prospects. Terms and conditions apply.
                      • Disclaimer: Based on upGrad NPS response data obtained from ~1252 learners, between 2nd Oct'21 to 18th Oct'21 for upGrad courses*. The review was performed by Deloitte Touche Tohmatsu India LLP. upGrad is a platform to facilitate program delivery by educational institutions and is not a college or a university itself. *programs.upgrad.com/disclaimer_courselist