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.
Program Details
PROGRAM BENEFITS
- Get placed with salary hike 40-80%
- Master latest software tools – R, Python, SQL and Tableau
- Work for best of IT, Analytics, Consulting, Marketing, Banks etc.
- Become a certified Data Science Professional
CAREER PROSPECTS
All Industries
- Senior Business Analyst
- Data Scientist / Engineer
- Principal Consultant
- Commercial / Project Manager
- Business Intelligence Manager
- Research Scientist
- Financial Risk Manager
- Equity Analyst
WHO SHOULD DO THIS PROGRAM
Professionals working in IT, Tech companies with multiple profile who wish to build career in Data Science
Fresh BTECH, MBA or Graduates with programming skills and looking for 1st Job or enter Analytics career
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.