Data Science With R and Python Course Duration: 4 Months Module-I

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Business Statistics Database Fundamentals (using MS Access) Module-II Module-III Data Analysis with MS Excel Module-IV Machine Learning with R/Python Module-V Dashboard Development with Tableau Module-VI Capstone Project Course Fee: Rs 49,999/- Download as PDF Module-I: Business Statistics Topics Measures of Central Tendency

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Measures of Dispersion Skewness & Kurtosis Correlation & Regression Probability & Probability Distributions Hypothesis Testing & ANOVA Time Series Mean, Median, Mode Range, Quartile Deviation, Standard Deviation Skewness, Kurtosis Correlation Coefficient, Method of least squares, Linear regression Concept of probability, probability Distributions Hypothesis Testing- One-Tailed & Two-Tailed Tests, Chi-Square Tests, t & F-Statistics Trend, Cyclical Variation, Seasonal Variation Module-II: Database Fundamentals (using MS Access) Fundamentals of Relational Database
1. Introduction to SQL statements- Syntax
2. Transactional Queries- Select, Where, And/Or,
Order by, Group by, Distinct, Mathematical Functions,
Update, Delete, etc.
3. Merging- Inner Join, Left Join, Right Join, Full Join,
Self Join, Union
4. Sorting Data Tables

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Module-III: Data Analysis with MS Excel Topics Introduction
Formatting
Functions: Numeric, Date & Text Functions
Advanced Functions
Pivot Table & Charting

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Module-IV: Machine Learning with R/Python Topics R: Getting Started
The R Environment
Statistical Graphics
Machine Learning with R (with Case Studies)
Understanding Python
Data Visualisation in Python
Machine Learning with Python (with Case Studies):
Introduction to Big Data- Hadoop & Spark

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Module-V: Dashboard Development with Tableau Topics Introduction
Connecting to Data Sources
Basic Visualisations
Creating Calculations to Enhance Data (with Case Studies)
Tips, Tricks & Timesavers
Tableau Dashboards
Module-VI: Capstone Project

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