CURRICULUM
Course Overview
This degree, in collaboration with IIM
Rohtak in India, is a 180-hour training course that provides comprehensive coverage of data science with R
and Python, along with SQL Programming and data visualization with Tableau. This project-based multi-tool
course provides extensive knowledge of the most popular data science techniques used by analytics
professional to solve critical business problems.
To stay ahead of the curve, data-scientists are best equipped with learning core programming skills in
Python. Python’s popularity lies in its wide selection of dynamic libraries, simple syntaxes and has a
higher rate of success with predictive analysis. It is also simpler to use, faster with compatibility
across operating systems. Leading companies such as Instagram, Google, Netflix, Reddit, IBM, Facebook,
Spotify, Quora, and Dropbox use Python in their development stacks.
- Master data science using leading tools such as Python, R, SQL and Tableau.
- Hands-on learning through 14 industry projects, KPMG in India capstone projects and case studies.
- Extensive support via resume building, interview prep and mentorship.
this is the picture of our study class
Introduction in Executive Post Graduate Diploma In Sports Management
AT THE END OF THIS MODULE, YOU WILL BE ABLE TO
- Learn Python programming for data science.
- Learn how to build data science models in Python.
- Solve real-world data science problems in Python.
Basics of Python for Data Science
- Managerial Economics
- Financial Reporting & Analysis
- Legal Aspects of Business
- Spoken and Business Communication
- Human Resource Management I
- Understanding People and Organisations I
- Management Information System
- Marketing I
- Operations Management-I
- Probability and Statistics I
ARCH & GARCH
- Macroeconomics and Economic Policy
- Management Accounting
- Written Analysis and Communication I
- Human Resource Management II
- Understanding People and Organisations II
- Strategic Management
- Business Analytics
- Marketing II
- Probability and Statistics II
- Operations Management-II
Time Series
- Government Systems and Processes
- Socio-Cultural Environment of Business
- Financial Management
- Written Analysis and Communication II
- Business Ethics
- Advance Technological Management
- Business Research Methods
- Marketing-III
- Strategic Decision & Tools
- Entrepreneurship
Data Visualization using R
- Grammar of Graphics
- Bar Charts
- Histograms
- Pie Charts
- Scatter Plots
- Understanding Vectors in R
- Assumption of ANOVA
Statistical Fundamentals
- Measures of Central Tendency in Data
- Measures of Dispersion
- Understanding Skewness in Data
- Probability Theory
- Bayes Theorem
- Probability Distributions
- Hypothesis Testing
