Programme Overview

This Data Science course using Python and R endorses the CRISP-DM Project Management methodology and contains a preliminary introduction of the same. Data Science is a 90% statistical analysis and it is only fair that the premier modules should bear an introduction to Statistical Data Business Intelligence and Data Visualization techniques. Students will grapple with Plots, Inferential Statistics, and various Probability Distributions in the module.

A brief exposition on Exploratory Data Analysis/ Descriptive Analytics is huddled in between. The core modules commence with a focus on Hypothesis Testing and the "4" must know hypothesis tests. Data Mining with Supervised Learning and the use of Linear Regression and OLS to enable the same find mention in succeeding modules. The prominent use of Multiple Linear Regression to build Prediction Models is elaborated. The theory behind Lasso and Ridge Regressions, Logistic Regression, Multinomial Regression, and Advanced Regression For Count Data is discussed in the subsequent modules.

Learning Outcomes

Course Modules

1. CRISP – DM - Project Management Methodology

• 8 Hours
• 2 Assignments
• 54 View
• 8/10 Rating

2. Exploratory Data Analytics (EDA) / Descriptive Analytics

• 8 Hours
• 2 Assignments
• 54 View
• 8/10 Rating

3. Statistical Data Business Intelligence and Data Visualization

• 8 Hours
• 2 Assignments
• 54 View
• 8/10 Rating

4. Plots & Inferential Statistics

• 8 Hours
• 2 Assignments
• 54 View
• 8/10 Rating

5. Probability Distributions (Continuous & Discrete)

• 8 Hours
• 2 Assignments
• 54 View
• 8/10 Rating

6. Hypothesis Testing - The ‘4’ Must Know Hypothesis Tests

• 8 Hours
• 2 Assignments
• 54 View
• 8/10 Rating

7. Data Mining Supervised Learning – Linear Regression, OLS

• 8 Hours
• 2 Assignments
• 54 View
• 8/10 Rating

8. Predictive Modelling – Multiple Linear Regression

• 8 Hours
• 2 Assignments
• 54 View
• 8/10 Rating

Instructors

Bharani Kumar Depuru

Areas of expertise: Data Analytics, Digital Transformation, Industrial Revolution 4.0

Over 14+ years of professional experience

Trained over 2,500 professionals from eight countries

Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv Alshaya, Synchrony Financials, Deloitte

Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)

Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business

Sharat Chandra Kumar

Areas of expertise: Data sciences, Machine learning, Business intelligence and Data Visualization

Trained over 1,500 professional across 12 countries

Worked as a Data scientist for 14+ years across several industry domains

Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library

Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos

Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more

Nitin Mishra

Areas of expertise: Data sciences, Machine learning, Business intelligence and Data Visualization

Over 20+ years of industry experience in data science and business intelligence

Trained professionals from Fortune 500 companies and students at prestigious colleges

Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL

Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more