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Data Analytics Master Program

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Phone Number

+91-74837-29403

Syllabus

Complete Python with Important Libraries

  • Introduction to Python
  • Python Basics-Syntax And Semantics
  • Identifiers In Python
  • Variables In Python
  • Operators In Python
  • Data types In Python
  • Coding Exercise And Assignments
  • List And List Comprehension In Python
  • List Practice Code And assignments
  • Tuples In Python
  • Tuple Assignment And Practice Code
  • Sets In Python
  • Sets Assignment and Practice Code
  • Dictionaries In Python
  • Dictionaries Assignments and Practice
  • Real world use case of List
  • Conditional Statements(if,elif,else)
  • loops in python
  • Coding Exercise and Assignments
  • Getting Started With Functions
  • Types Of Functions : Parameterized Function and Non-Parametrized Functions
  • Return Keywords In Functions
  • Different Types of Arguments
  • Args and Kwargs Parameters In Functions
  • Nested Functions
  • Lambda Functions
  • Map Functions In Python
  • Filter Functions In Python
  • Reduce Functions In Python
  • Function Assignments With Solution
  • Generators and Generator Comprehension
  • Import Modules And Packages In Python
  • File Operation In Python
  • Exception Handling
  • Loggings

Data Analysis with Python

  • Introduction to Python
  • Reading data from Various DataSources
  • Understanding the Data
  • Checking Duplicates
  • Dropping Unwanted Columns
  • Transformation
  • Handling The Missing Values
  • NumPy
  • Data Visualization with Matplotlib
  • Data Visualization with Seaborn

Getting Started With Statistics

  • Introduction To Statistics
  • Types Of Statistics
  • Population And Sample Data
  • Types Of Sampling Techniques
  • Types Of Data
  • Scales Of Measurement of Data

Descriptive Statistics

  • Measure Of Central Tendency (Mean,Median and Mode)
  • Measures Of Dispersion (Range,Variance,Standard Deviation)
  • Why Sample Variance is divided by n-1?
  • Random Variables
  • Percentiles And Quartiles
  • Number Summary
  • Histogram And Skewness
  • Covariance And Correlation

Probability Distribution Function and Types Of Distribution

  • Pdf, PMF, CDF
  • Types OF Probability Distribution
  • Bernoulli Distribution
  • Binomial Distribution
  • Poisson Distribution
  • Normal or Gaussian Distribution
  • Standard Normal Distribution
  • Uniform Distribution
  • Log Normal Distribution
  • Central Limit Theorem

Feature Engineering with Python

  • Feature Engineering-Handling Missing Data
  • Feature Engineering-Handling Imbalanced Dataset
  • Feature Engineering-SMOTE
  • Handling Outliers With Python
  • Data Encoding-Nominal/One Hot Encoding
  • Label And Ordinal Encoding
  • Target Guided Ordinal Encoding

Exploratory Data Analysis

  • Red Wine Dataset EDA
  • EDA Flight Price Dataset
  • Part 1-Data Cleaning Google Playstore Dataset
  • Part 2-EDA Google Play Store Dataset

Introduction to MySQL Database

  • Download and Installation
  • What is Data and types of Data
  • What is Database and types of Database.

MySQL Basics

  • SQL DDL Commands
  • CREATE command
  • ALTER command
  • TRUNCATE command
  • DROP command
  • RENAME command
  • MySQL Data Types
  • SQL DML commands
  • INSERT command
  • UPDATE command
  • DELETE command
  • Constraints
  • PRIMARY KEY , NOT NULL, UNIQUE, CHECK, FOREIGN KEY
  • SQL DQL command
  • SELECT command
  • SQL Where Clause

MySQL Advance Querying

  • Sorting Data (ORDER BY).
  • Filtering Data (LIKE, IN, BETWEEN, NOT IN, > , < , >=, <=,!=).
  • Using Aggregate Functions:
  • COUNT, SUM, AVG, MIN, MAX
  • Grouping Data with GROUP BY.
  • Filtering Groups with HAVING.
  • Subqueries and Nested Queries.

MySQL Set

  • Union
  • Intersect
  • Minus/Except

MySQL Joins

  • Introduction to Joins.
  • Types of Joins:
  • Inner Join.
  • Left Join.
  • Right Join.
  • Full Outer Join.
  • Cross Join.
  • Self-Joins.

MySQL Functions

  • String Functions: CONCAT, SUBSTRING, REPLACE.
  • Numeric Functions: ROUND, FLOOR, CEIL.
  • Date Functions: NOW, CURDATE, DATEDIFF, DATE_ADD.
  • Control Flow Functions: IF, CASE.

MySQL Advanced Functions

  • Rank, Dense Rank & Row Number Window Functions – 1
  • Rank, Dense Rank & Row Number Window Functions – 2
  • Window Functions – Lead Function
  • Window Functions – Lag Function
  • ISNULL & Coalesce Functions
  • Common Table Expressions – 1
  • Common Table Expressions – 2

MySQL other objects

  • Views in MySQL and Types of Views
  • Store Procedure and types of Stored Procedures

Data Import/Export

  • Importing Data using LOAD DATA INFILE.
  • Exporting Data to CSV/SQL Files.

POWER BI Course Introduction

  •  Microsoft Power BI Course Introduction

Introduction to Power BI

  • General Workflow Power BI
  • Download and Installing PowerBI Desktop

Data Visualization

  • Creating a Bar Chart
  • Creating a Column Chart
  • Creating a Line & Area Chart
  • Creating a Pie & a Donut Chart
  • Creating a Clustered Column & Bar Chart
  • Creating a Ribbon Chart
  • Creating a line & stacked column chart
  • Creating a Line & Clustered Column Chart
  • Creating a Scatter Plot
  • Creating a Bubble Map Visual
  • Creating a Table & Matrix Visual
  • Formatting Table & Matrix Visual
  • Creating a Funnel Chart
  • Gauge chart & KPI Visual
  • AI Visuals in Power BI

Power Query Editor

  • Detecting Data Types in Power BI Desktop
  • Data Profiling
  • Column Distribution Example
  • Appending Queries
  • Merge Inner Join
  • Left Outer Join
  • Right Outer Join
  • Left & Right Anti Join
  • Full Outer Join
  • Group By in Power Query Editor
  • Add/Transform Columns
  • Pivot, Unpivot & Transpose

Power Query Editor

  • DAX Lecture 1
  • DAX Lecture 2
  • DAX Lecture 3
  • DAX Lecture 4
  • DAX Lecture 5
  • DAX Lecture 6

Project 1 : Sales Data Analysis

  • Business Requirements
  • Loading Data to PBI Desktop
  • Data Profiling & Data Transformations Part 1
  • Data Transformations Part 2
  • Primary & Foreign Key
  • Cardinality
  • Star Schema
  • Different types of Filter in Filter Pane
  • Top Bottom 5 products By Sales,Qunatity and Profit
  • Sales Trends Over Time
  • Other Requirements
  • Requirement 4 DAX
  • Requirement 4 Edit Interactions
  • Other Remaining Requirements
  • Changing Filter Behavior for Dimension Table Slicers

Project 2: Insurance Data Analysis

  • Downloading & Installing MSSQL Server
  • Importing Data to MSSQL Server
  • Loading Data to Power BI Desktop
  • Table View & Data Profiling
  • Adding Slicers & Text
  • Adding New Cards Visuals
  • Adding a Multi Row Card & a Ribbon Chart
  • Adding a Bar & a Line Chart
  • Adding a Donut Chart & Matrix Visual

Project 2: Insurance Data Analysis

  • Publishing the Report to Power BI Service
  • Scheduling Refresh
  • Drill Through Filter
  • Testing Scheduled Refresh & Publishing the updated report
  • Creating & Testing Roles in PBI Desktop
  • Testing & Implementing RLS in Power BI Service
  • Power BI Reports & Dashboards
  • Sentiment Analysis Power Query
  • Sentiment Analysis Adding Visuals to the Report

Excel Dashboard 1

  • Pivot Tables Lecture 1
  • Pivot Tables Lecture 2
  • Creating & Formatting the Column Chart
  • Creating & Formatting the Bar Chart
  • Creating & Formatting a Line Chart
  • Creating & Formatting an Area Chart
  • Creating & Formatting a Pie Chart
  • Creating the Dashboard

Excel Dashboard 2

  • Data Understanding and cleansing
  • Data Transformation (Removing Data Quality Issues using VLookUp Function)
  • Adding Age Group & Production Cost Per Unit Column
  • Adding a 3D Column Chart
  • Adding a 3D Bar Chart
  • Adding a 3D Line Chart
  • Adding a 3D Pie Chart
  • Creating Dashboard

Power Query Editor in MS Excel

  • Data Profiling (Column Distribution)
  • Data Profiling (Column Profile & Column Quality)
  • Combining Queries
  • Inner Join Concept and Examples
  • Left Join Concept and Examples
  • Right Outer Join Concept and Examples
  • Full Outer Join Concept and Examples
  • Left & Right Anti Join Concept and Examples
  • Nulls in SQL Server & Power Query Editor
  • Appending two tables

Importing Data from MySQL Server

  • Importing Data to SQL Server
  • Importing Data to Excel From SQL Server
  • Data Understanding & Creating the Pivot Table
  • Adding Category Slicer
  • Adding Other Slicers & Formatting Slicers & Pivot Table
  • Refreshing the Report