Why PG Certificate Program in Data Analytics (Hybrid)

In a world where every business decision is driven by data, the demand for skilled data analysts is higher than ever, spanning functions from sales and marketing to logistics and strategy. The PG Certificate in Data Analytics by UPES Online is crafted to help both fresh graduates and working professionals, regardless of their background, seamlessly transition into this high-growth field.

This 6-month program is ideal for professionals looking to transition into a career in Data Science. It focuses on predictive modeling, Tableau, and machine learning techniques using SQL and Python. The program is designed to accelerate your career by helping you become a well-rounded and industry-ready Data Science professional.

With 180 hours of structured learning, the program blends academic depth with real-world application through case studies, hands-on projects, and expert-led online sessions. You’ll gain mastery in tools like Python, R, SQL, and Tableau, along with a strong foundation in analytics, algorithms, and data-driven problem-solving—equipping you to thrive in any data-centric role.

A Booming Sector With Growth & Promising Opportunities

  • The global big data market is anticipated to reach $103 billion by 2027, with industries like healthcare, banking, and retail leading the adoption.

  • Over 2.5 quintillion bytes of data are being generated daily.

  • The predictive analytics market is estimated to grow at a CAGR of around 21% from 2020 to 2027.

UPES Advantage

  • Introduction to Data Analytics & Python
  • Predictive Modelling in Data Analytics using Python
  • Capstone Projects
  • Data Visualization
  • Data Visualization Techniques in Tableau
  • Data Analysis in SQL

  • Data Analyst
  • Junior Data Scientist
  • Associate Data Engineer
  • Business Intelligence (BI) Analyst
  • Data Visualization Specialist
  • Data Scientist
  • Machine Learning Engineer
  • Data Analytics Manager
  • Predictive Analytics Specialist
  • Data Science Team Lead
  • Senior Data Scientist
  • Chief Data Scientist
  • Data Science Manager/Director
  • Head of Data Analytics
  • Data Science Consultant

Our comprehensive career services guarantee your career preparedness and employability for the professional world.

  • Career Orientation
  • Mentorship by industry experts
  • LinkedIn/Resume building guidance
  • Interview preparation

Our flexible and budget-friendly fee payment options are designed to make your education journey as smooth as possible.

  • Easy EMI Plan: Study stress-free and focus on smaller, manageable EMI* payment plan.

We offer LIVE online and Self-Paced Learning Options for our Post Graduate Program in Data Science.

  • LIVE Online Program -  Fee for Indian Student: INR 60,000 + GST 
  • Self-Paced Program: Fee for Indian Student: INR 42,000 + GST

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Our Alumni Network on the Job & Thriving

FREQUENTLY ASKED QUESTIONS

The UPES Online PG Certification Program is an intensive 10-month management program that can be pursued remotely. This PG Certification Program maintains the same level of academic rigor and content as a traditional two-year full-time MBA program offered by renowned global business schools.

No, the UPES Online PG Certification Program upholds a level of rigor and content equivalent to that of a regular two-year full-time MBA program offered by esteemed global business schools. For MBA courses please refer to our MBA program pages.

It's important to clarify that only universities have the authority to grant degrees in India. The UPES Online PG Certification Program does not confer a degree or diploma; it is structured as a standalone program. For MBA courses please refer to our MBA program pages.

Details about the specializations offered can be found on our website under the "Certifications" section.

45% and 5% exception as additional relaxation (for special cases).

The UPES Online PG Certification Program typically offers multiple cohorts throughout the year to accommodate different starting preferences. These starting months are January, April, July, and October. Each of these months corresponds to a new cohort of students joining the program. This approach allows for greater flexibility in enrolment and enables students to choose the cohort that best suits their schedule and timeline.