Introduction

• Introduction to Python
• Installation of Python

Data Types

• Data Types - Part1
• Data Types - Part2
• Data Types - Part3

Control Structures

• Control Flow in Python
• For Loop
• While Loop

Functions

• Methods and Functions
• Arguments and Keyword Arguments in Python
• Map Filter and Lambda expressions in Python
• Nested Statements and their scope

Object Oriented Programming

• Introduction to Object-Oriented Programming in Python
• Object Oriented Programming in Python PART-2
• Inheritance
• Polymorphism
• Dunder Methods
• Modules and Packages
• Writing Modules and Packages
• Name and main functions
• Errors and Exception handling
• Testing Tool Pylint in Python
• Testing Tool Unittest in Python
• Decorators in Python

Advanced Python

• Collections Module Part1


• Collections Module PART-2


• Datetime Module in Python


• Python Debugger and Timeit


• Regular Expressions in Python


• IO Module and Advance Numbers in Python


• Advance Data Types PART-1


• Advance Data Types PART-2


• GUI in Python


• Final Capstone Project

Machine Learning

• Introduction to Machine Learning​
• Machine Learning with Python

Linear Regrassion

Linear Regrassion

• Linear Regression
• Linear Regression Theory
• Model Selection Updates for Scikit Learn
• Linear Regression with Python
• Linear Regression Project Overview and Project Solution

Generalised Linear Models In Python

• Linear Regression
• Regularisation of Generalised Linear Models
• Ridge and Lasso Regression
• Methods of threshold determination and performance measures for classification score models
• Regularisation of Generalised Linear Models

K Nearest neighbours

K Nearest neighbours

• KNN Theory
• KNN with Python
• KNN Project Overview and Project Solutions
• Broadcasting

Decision Trees and Random Forests

• Introduction to Tree Methods
• Decision Trees and Random Forest Project Overview
• Decision Tree and Random Forest Solution Part-1
• Decision Tree and Random Forest Solution Part-2

K Means Clustering

• K means Algorithm Theory
• K Means with Python
• K Means Project Overview
• K Means Project Solutions

Machine Learning Basics

• Converting business problems to data problems
• Understanding supervised and unsupervised learning with examples
• Understanding bias associated with any machine learning algorithm
• Ways of reducing bias and in creasing generalisation capabilities
• Drivers of machine learning algorithm
• Cost functions
• List Brief introduction to gradient descent
• Importance of model validation
• Methods of model validation
• Testing Tool Pylint in Python
• Cross validation & average error

Logistic Regrassion

• Logistic Regression Theory
• Logistic Regression with Python-1
• Logistic Regression with Python-2
• Logistic Regression with Python-3

1 Project

2 Project

3 Project

Introduction

• Tableau ​
• Data Vizualization
• Business Intelligence
• Download Tableau
• Install Tableau

Tableau Data

• Pivot table (Importing Data) ​
• Datasheet Overview
• File types, File uses
• Data Types
• Connection
• View Data
• Column Formatting

Basics 1

• Types of graph
• Functions

Basics 2

• Show me
• Practical overview
• Hierarchies
• Generated fields
• Sorting

LOD

• Include
• Exclude
• Fixed
• Title & Caption
• Exporting, Granularity
• Worksheet Interface
• Managing metadata
• Cross database Joins
• Data blending, Calculations
• Filters
• Calculations – Automatic, Temporary-Custom
• Operators
• Size, Color, Label, Tooltip, Shapes
• Detail, Font, Alignment, Shading, Borders
• Functions

Charts

• Bar chart
• Line Chart
• Pie chart
• Scatter chart
• Pareto chart
• Bullet chart
• Word chart
• Word maps
• Heat map

• Tree map chart
• Area chart
• Bump chart
• Funnel chart
• Dual axis chart
• Waterfall chart
• Gantt chart
• Histogram
• Side by side bar chart
• Stacked bar chart
• Side by side area chart
• Side by side line chart
• Circle views chart
• Box plot chart
• Divergent chart
• YoY chart
• Lollipop chart
• KPI chart
• Rounded edge bar chart
• Conditional
• Formatting
• Maps
• Pages, Order date Calender
• Rank
• Dashboards
• Layout

Tableau preparation

Tableau Online

Project 1