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PGP in Data Science

Data Science is the backbone of business analytics. Data Science is one of the most multi-disciplinary fields involving knowledge of technology, maths & statistics and business. To train a person to become a well-rounded data scientist capable of working in industry, a training program should focus on all three aspects.

It’s a 10-month PG Program for professionals who wish to move to Data Science as a career option. The program focusses on data science techniques including predictive modelling & machine learning techniques on the SQL, R & Python tools to solve business problems.

This comprehensive program in Data Science covers the technology, statistical, mathematical and business aspects of the field. The program enables the learners to become an in-demand Data Scientist with huge job opportunities.

The program is delivered in a blended learning format that includes self-paced learning, live webinars from highly-qualified faculty and industry experts, case study discussions and real-life problem solving.

Details

  • Eligibility :
    Any graduate with Min 50% marks
  • Duration :
    150 Hours Of Learning + 150 hours of assignments & projects
  • Learning Options:
    - Live Online Classes
    - Self-Paced + Faculty Support

PROGRAM LEARNING OUTCOMES

  • Learn the various applications of analytics, how companies are using analytics to prosper and study the analytics cycle
  • How to use the R language to work with data
  • Create data visualizations
  • Create a hypothesis, statistically test it and validate it through data and present it with clear and formal numbers to support decision making
  • Learn techniques to prepare data for analysis
  • Learn the basics of regression modelling hands-on through real world cases
  • Apply Logistic regression is the work-horse of the predictive analytics world
  • Learn the techniques of forecasting without being mis-led by seasonal and cyclical impacts
  • Learn the various decision tree algorithms and how to create a decision tree model
  • Learn how to use the Python language to work with data
  • Learn why and how to statistically divide a broad customer market into various segments of customers who are similar to each other

 

WHERE OUR STUDENTS ARE WORKING

Companies –

  • Tiger Analytics
  • Accenture
  • Deloitte
  • PWC
  • Capgemini
  • Conizant
  • Fractal Analytics
  • AON
  • E-Clerx

CAREER PROSPECTS

All Industries

  • Business Analyst
  • Data Analyst
  • Data Engineer
  • Analytics Engineer

 

WHY ENROL WITH US

UPES is the best known University for Logistics and Supply Chain in India. It started with Oil and Gas programs in 2003 before launching other domains. We are considered a premium University by corporates in Oil & Gas, Energy, Shipping, Logistics and related sectors. Our students are working with some of best known corporates both in India and as well Abroad.

WHO SHOULD DO THIS PROGRAM

  • Individuals looking to strengthen their career prospects or make a career change by developing in-depth expertise in data science
  • Fresher with Math, Statistics and Programming knowledge looking for a job-oriented program
  • Working Executives in IT with 1 to 5 years of experience
  • Professionals with Math and programming knowledge who wish to move to Data Science as a career option

PROGRAM STRUCTURE

Module Tools to be learnt
Module 1: Predictive Analytics in R R
Module 2: Machine Learning in Python Python (Libraries like pandas, numpy, scipy, scikit-learn, bokeh, beautifulsoup)
Module 3: Data Analysis in SQL MS SQL
Module 4: Data Visualization in Tableau Tableau
Module 5: Capstone Project The capstone project is an opportunity for candidates to work on industry-like data science problems under the mentorship of faculty/industry mentors. This project would bring in the all the learnings that candidates would have gained in the course and would work on problems relevant in the industry using techniques and tools mastered in the PG Data Science course. The capstone project also becomes a way for candidates to showcase their analytics credentials and learning to their future employers.

LEARNING CONTENT & TEACHING METHODOLOGY

You will be provided access to our Learning Management System to access program content. It would be a blended learning program including synchronous and asynchronous components. The program would include:

  • Self-paced learning (including pre-recorded videos and other reading resources) through LMS
  • Live webinars
  • Capstone project

The program is delivered through live webinars, on weekends. These webinars are attended by students from India and abroad. These sessions include key concepts, case studies and real-life examples. Students also get opportunities to clarify their doubts. If by any chance you miss these live classes, don’t worry, the recorded sessions are uploaded in the LMS.

With real-life examples, the program demonstrate how data science can improve corporate decision-making and performance and advance your career goals.

Program Delivery Schedule

  • It is a 10-months program.
  • On enrolment each student would be provided with access to our LMS for e-Learning content.
  • Classes will be conducted on weekends (every Saturday and Sunday).
  • Each class would be of 3 hours duration.
  • You would also get access to pre-recorded videos, quizzes and other reading resources.
  • At the end, there would be a capstone project.

Program Delivery Methodology

It would be a blended learning program including synchronous and asynchronous components. The program would include:

  • Self-paced learning (including pre-recorded videos and other reading resources) through LMS
  • Live webinars
  • Capstone project

Program will be delivered by a pool of highly-skilled faculties and industry experts.

Student Support Services

  • Dedicated Program Managers: You would have a single point of contact – your Program Manager, to answer all your queries (through call or mail). All queries will be responded within 24 hours.
24x7 Helpdesk: Just raise a ticket on any issue and get response almost on real-time except weekends. We encourage students to use this facility.

FACULTY MEMBERS

The faculty members who take care of Live Sessions and Offline discussions are comprised of:

  • Dedicated Faculty members for Centre for Continuing Education headed by an Academic Head
  • 450+ faculty members who are full time resource taking sessions at our campus in Dehradun
  • Industry experts either currently servicing or retired at senior level with passion for teaching

ELIGIBILITY

  • Any graduate with strong background in Mathematics and have knowledge of at least one programming language
  • Min 50% marks in Graduation

FEES

  • For Live Online:  Rs. 1,15000 Rs. 79,990
  • Self-Paced:  Rs. 78,500 Rs. 55,990

CERTIFICATE

On successful completion of the program, the students would be awarded:

  • PGP in Data Science from UPES
  • Certificate of Completion from Edvancer

Success Story

This course has helped me to understand view of the things I am dealing with in my day to day professional life. Moreover having such a professional degree after my B.Tech with help in my promotion in the coming time.

So I think there has not been any loss as far as knowledge is concerned.

Read More

Toushita JIgdung

AEGCL

ABOUT UPES

Conceived in 2003 UPES is amongst the best-known University in India and first in Asia to offer domain focused programs in Energy, HSE, Project Management, Aviation. Logistics, IT and others. It has undisputed leadership in these domain areas and has emerged as a preferred Centre for talent for best of corporates. The Centre for Continuing Education offers management programs and executive education to working professionals and students through distance learning mode. It is known for excellence in academic delivery, learning outcomes and supporting great career opportunities post completion of programs. Join the excellent peer group of over 12,000 global students from across the sectors and domains as well as professionals, self-employed, Govt. officials, policy planners and more on the pathway to progress.

Recognition of UPES

  • UPES is recognized by UGC and accredited by NAAC
  • Member of Association of Indian Universities
  • Member of International Association of Universities
  • QS 5 Star Rated University