Business Analytics

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Industry-Relevant Business Analytics Program to get you Hired

[6-MONTHS EXTENSIVE TRAINING]

New Batch from 9th May

About This Program

This course will help you to grasp the core concepts of Business Analytics and expose you to advanced topics and technologies like Statistical Modelling, Data Visualization, Automation, etc. used to solve complex business problems optimally.

Gets hands-on experience of key trending technologies like Excel, SQL, Tableau and Power BI, R, Python

Course Curriculum

1 Statistics

  • Introduction to Business Analytics
  • Introduction to datatypes
  • Probability distribution and statistical inference
  • Data clustering
  • Hypothesis Testing (Testing the data topics)
  • Data Analysis
  • Introduction to Business Analytics
  • Introduction to datatypes
  • Probability distribution and statistical inference
  • Data clustering
  • Hypothesis Testing (Testing the data topics)
  • Data Analysis

2 Advanced Excel

  • Revisiting Excel
  • Sorting & Filtering
  • Functions in EXCEL
  • Analysing Data in Excel
  • Visualizing Data
  • Macros & VBA
  • Revisiting Excel
  • Sorting & Filtering
  • Functions in EXCEL
  • Analysing Data in Excel
  • Visualizing Data
  • Macros & VBA

3 SQL

  • Intro to SQL
  • DDL, DML, DCL, TCL, DQL
  • Database/Table Creation and Operations
  • Keys and Constraints
  • Aggregate Functions
  • Logical Operators
  • In KeyWord & Alias
  • Intro to Join and its type
  • Normalization
  • Sub Queries/Nested Queries
  • Transactions
  • Intro to SQL
  • DDL, DML, DCL, TCL, DQL
  • Database/Table Creation and Operations
  • Keys and Constraints
  • Aggregate Functions
  • Logical Operators
  • In KeyWord & Alias
  • Intro to Join and its type
  • Normalization
  • Sub Queries/Nested Queries
  • Transactions

4 R Language

  • Simple calculation
  • DataType
  • Data Structures-vectors,arrays,lists,dataframes
  • Libraries installation & loading
  • Functions
  • loops and conditionals
  • R-Markdown
  • Visualization in base R
  • Visualization in ggplot2
  • Simple calculation
  • DataType
  • Data Structures-vectors,arrays,lists,dataframes
  • Libraries installation & loading
  • Functions
  • loops and conditionals
  • R-Markdown
  • Visualization in base R
  • Visualization in ggplot2

5 Python

  • Variables, Data Types
  • Strings
  • Functions
  • loops and conditionals
  • Data Structures-tuples,sets,lists,dictionary
  • Numpy
  • Pandas
  • Visualization with matPlotLib
  • Visualization with Plotly
  • Variables, Data Types
  • Strings
  • Functions
  • loops and conditionals
  • Data Structures-tuples,sets,lists,dictionary
  • Numpy
  • Pandas
  • Visualization with matPlotLib
  • Visualization with Plotly

6 Power BI

  • Import
  • Data Cleaning
  • Measures and Columns
  • Relations and tables
  • Visualization
  • Navigations
  • Slicer
  • Drill
  • Advanced Query Editing
  • Publish Report and mobile layout
  • Import
  • Data Cleaning
  • Measures and Columns
  • Relations and tables
  • Visualization
  • Navigations
  • Slicer
  • Drill
  • Advanced Query Editing
  • Publish Report and mobile layout

7 Tableau

  • Datasource
  • Tableau charts
  • Filters
  • Sets
  • Parameters
  • Join and Union
  • Tableau Calculations
  • LOD expressions
  • Data Blending
  • Projects
  • Datasource
  • Tableau charts
  • Filters
  • Sets
  • Parameters
  • Join and Union
  • Tableau Calculations
  • LOD expressions
  • Data Blending
  • Projects

8 Google Data Studio

  • Intro to Google Data Studio
  • Drill down and Drill up
  • Visualizations
  • CASE Functions
  • Data Blending
  • Conditional Formatting
  • Funnel Visualization
  • Metric Sliders
  • Intro to Google Data Studio
  • Drill down and Drill up
  • Visualizations
  • CASE Functions
  • Data Blending
  • Conditional Formatting
  • Funnel Visualization
  • Metric Sliders

9 Predictive Modelling

  • Intro to predictive modelling, Model in analytics, Business Problems and Prediction Models
  • Linear Regression - Intro & Basics,Importance of Learning Rate, Types of Gradient Descent
  • Logistic Regression- Classification With L.R. & Problem, Intro & Basics, Implementation of Logistic Regression
  • Intro to predictive modelling, Model in analytics, Business Problems and Prediction Models
  • Linear Regression - Intro & Basics,Importance of Learning Rate, Types of Gradient Descent
  • Logistic Regression- Classification With L.R. & Problem, Intro & Basics, Implementation of Logistic Regression

10 Add-ons

  • 15+ Projects
  • 15+ Case Studies
  • Communication Development
  • Resume Building
  • 15+ Projects
  • 15+ Case Studies
  • Communication Development
  • Resume Building

The Time - Factor

Batch details will be as followed:


  Start Date: 9th May
  Duration - 6 Months
  Live classes
  Doubt Support via videos and one on one sessions
  Regular Assignments
  Placement Assistance: Placement opportunities (6+ lakhs)

Final Message

Get your dream job with Pepcoding's Business Analytics Program for just   ₹60,000    EARLY BIRD DISCOUNT ₹42,000

Enroll Now For The Course!!!

If you wish to register for this course, contact us on +91-7048971481 or +91-7048994628.
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