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Data Science post Graduate Program Riseback with UPES

Post Graduate Program in Data Science

It’s a 10-month Online Program for professionals who wish to move to Data Science as a career option.

•  Live Weekend classes from top faculties and Data Scientist
•  Comprehensive program in Data Science that covers the Popular software tools, statistical & mathematical concepts and business aspects
•  On program completion you become an in demand Certified Data Science Professional with huge job opportunities.
•  The program focusses on data science techniques including predictive modelling & machine learning
•  Master tools like SQL, R, Python and Tableau tools to solve business problems

Program Details

Duration

150 Hours Of Learning, Assignments & Projects. 70% as practical hands on.

Eligibility :

Graduation with a Programming knowledge from any recognized University with min. 40% marks.

PROGRAM BENEFITS

CAREER PROSPECTS

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All Industries

WHO SHOULD DO THIS PROGRAM

Professional

Professionals working in IT, Tech companies with multiple profile who wish to build career in Data Science

Graduates

Fresh BTECH, MBA or Graduates with programming skills and looking for 1st Job or enter Analytics career

Marketing

Professional from Marketing, FinTech, Logistics, BPO. Operations job aspiring to career growth

PROGRAM STRUCTURE

  • 10 Months Program
  • 150 hours of concepts + 150 hours of practical training
  • 9 projects to work upon
  • Concepts on Software tools – R, Python, SQL & Tableau
  • Hands on learning practice on the tools
  • Solve case studies on tools
  • Capstone Project under faculty guidance for 12 weeks
  • Industry specializations
  • Placement Assistance Program

Module 1
Introduction to Analytics and Data Science
Introduction to Business Analytics

Module 2
Basics of R, Data Handling and Statistics
Fundamentals of R
Data Visualization in R
Data Preparation and cleaning using R
Understanding the data using univariate statistics in R
Hypothesis testing and ANOVA in R to guide decision making

Module 3
Predictive Analytics in R
Correlation and Linear regression
Logistic regression
Techniques of customer segmentation
Time series forecasting techniques
Decision trees & Random Forests
Boosting Machines
Cross Validation & Parameter Tuning
Final Case Study

Module 4
Introduction to Machine Learning & Python
Introduction to Machine Learning in Python
Introduction to Python
Iterative Operations & Functions in Python
Data Summary; Numerical and Visual in Python
Data Handling in Python using NumPy & Pandas
Mathematical Concepts for Machine Learning

Module 5
Advanced Machine Learning
Generalised Linear Models in Python
Tree Models using Python
Boosting Algorithms using Python
Support Vector Machines (SVM), Naïve Bayes and KNN in Python
Unsupervised learning in Python
Neural Networks
Text Mining in Python
Ensemble Methods in Machine Learning

Module 6
Data Analysis in SQL
Introduction to SQL
SQL Data Types & Operators
Useful Operations in SQL
Aggregating Data in SQL
Writing Sub-Queries in SQL
Common function in SQL
Analytic Functions in SQL
Writing DML Statements
Writing DDL Statements
Using Constraints in SQL
SQL Joins
Views in SQL

Module 7
Domain Specialization
Banking-Finance
E-Commerce
Power
Logistics & Supply Chain
Aviation

Disclaimer: RiseBack is the authorized ‘Enrollment Partner’ for UPES CCE Deemed-to-be University. The courses would be offered directly by (University of Petroleum and Energy Studies Centre for Continuing Education) The fees would be directly paid to the university.