Module 1: Introduction to Data

• Selecting rows/observations
• Rounding Number
• Selecting columns/fields
• Merging data
• Data aggregation
• Data munging techniques aggregation
• . Data munging techniques

Module 2: Introduction to python

• What is Python?
• Why Python?
• . Installing Python
• Python IDEs
• Jupyter Notebook Overview

Module 3:Python basics 

• Python Basic Data types
• . Lists
• Slicing
• IF statements
• Loops
• Dictionaries
• Tuples
• Functions
• Array

Module 4: Python packages

• Pandas
• Numpy
• Sci-kit Learn
• Mat-plot library

Module 5 : IMPORTING DATA

• Reading CSV files
• Saving in Python data
• Loading Python data objects
• Writing data to CSV file

Module 6 : AI (ARTIFICIAL INTELLIGENCE )

• Perceptron
• Multi-Layer perceptron
• Markov Decision Process
• Logical Agent & First Order Logic
• AL Applications

Module 7 : TABLEAU

• Tableau course content
• Learn tableau basic reports
• Learn tableau charts
• Learn tableau advance reports
• Learn Tableau Calculations & Filters
• Learn Tableau Dashboards
• Server

Module 8 : SQL

• Introduction to database
• Retrieve Data using the SQL SELECT Statement
• . Restrict and Sort Data
• Usage of Single-Row Functions to Customize Output
• Invoke Conversion Functions and Conditional Expressions
• Aggregate Data Using the Group Functions
• Use Subqueries to Solve Queries
• The SET Operators
• Data Manipulation Statements
• Use of DDL Statements to Create and Manage Tables
• Management of Schema Objects

Module 9 : Power BI

• Introduction of power bi
• Transforming Data
• .Modeling Data
• Visualization
• . Dax function
• Advance Dax function
• Dashboard