Data Science Course

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Module1: Introduction Data Science

 Part -1 Referential details for Data science Business Analytics

1.       Scope & Fact  of Data Science and Business analytics

 2.       SWOT Analysis of Data Science Business Analytics

 3.       Introduction to Advanced Data Analytics

 4.       Journey Mathematics-Statistics-Econometrics

 5.       Flow chart for Data Science and Business Analytics

 6.       Data wherehouse  conceptual discussions

 7.       Hadoop for Data Science

 8.       OLTP OLAP for Data information

 9.       Web Application report

 Module 2: Data Visualization and Summarization

 Part-2: Deive Statistics:

1. Deive Statistical
2. Inferential Statistics
3. Types of Variables
4. Measures of central tendency
5. Data Viability Dispersion
6. Five number Summary Analysis
7. Data Distribution Techniques
8. Exploration Techniques for Numerical data
9. Exploration techniques for Character Data
10. Visualization Exploration
11. Summary Exploration
12. Chebychevs Inequality.

 Part-3: Basic Probability for Business Issues: