Module 1: Introduction to Data Science
In this module the candidate will learn about Data Science, which includes understanding Data Analysis in Excel and Analytics Problem Solving
- Understanding Data Science
- Data Analysis in Excel
- Analytics Problem Solving
- Quiz Module 1
Module 2: Introduction to python Exploratory
In this module the candidate will learn about Python Exploratory, which includes understanding of Data Tool-Kit Data Analysis using SQL, an overview of Python Exploratory and Data Analysis Inferential Statistics Hypothesis Testing
- Data Tool-Kit Data Analysis using SQL
- Introduction to Python Exploratory
- Data Analysis Inferential Statistics Hypothesis Testing
- Quiz Module 2
Module 3: Getting And Cleaning Data
In this module the candidate will learn about Cleaning and Getting Data, which includes understanding Components of complete Data Set - Raw Data, Codebooks and learning how to collect, clean and share data
- Components of complete Data Set - Raw data, codebooks
- How to collect, clean and share data
- Quiz Module 3
Module 4: Exploratory Data Analsis, Research and Statistical Inference
In this module the candidate will learn about Exploratory Data Analysis which includes understanding Multivariate Statistical Techniques, knowing various plotting systems in different languages, learning different Statistical Analysis tools, Publishing Data Analysis and understanding how to make informed and accurate decisions
- Understanding multivariate statistical techniques
- Know various plotting systems in different programming languages
- Learn different statistical analysis tools
- How to publish Data Analysis
- How to take informed and accurate decisions
- Quiz Module 4
Module 5: Regression Models and Practical Machine Learning
In this module the candidate will learn about Regression Models, which includes Model Selection and Novel uses of Regression models, Building Prediction Functions and Applying Algorithms and learning how to do evaluation
- Model selection and novel uses of regression models
- Building prediction functions — Data collection, feature creation
- How to apply Algorithms and learning how to do evaluation
- Quiz Module 5

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