This module will introduce you to types of analytics namely, Descriptive, Diagnostic, Predictive, & Prescriptive. It will also talk about Data & Data Sources for Analytics: Small & Big Data, Traditional Data & Non-Traditional Data Sources

This module will introduce you to topics like Data Handling Using Functions: if-else, concat, Vlookup, Hlookup, mid, len, test-to-column, de-duplication, missing value imputation, etc.

This module will introduce you to topics such as R Operations including Sorting, Functions, Loops, Data Frames, Data Translation of a Business Problem to an Analytical Problem Wrangling using dplyr, and Making Plots (ggplot)

This module will introduce you to topics such as Install SQLITE, Basics of SQL, SQL commands: SELECT, FROM, WHERE, AND, OR, NOT, Pattern matching, Sorting, Order by, Comments and Operators• Group by, Aggregate Functions, having clause

This module will introduce you to topics such as Python Basics: Syntactics, Variable types, Operators, For/While Loops, Conditional Statements Functions: Built-in, Library and Custom, Arguments, Return Data Structures and Operations

This module will introduce you to topics such as Probability Basics: Relative Frequency, Idea of Distributions: Discrete and Continuous & Computing Distributions from Data and Deriving Insights

This module talks about Statistics for Decision Making: which includes Hypothesis Testing and Probability Distributions

In this module, topics that will covered include, Importance of Visualizing Data through Charts, Types of Charts & their Best Uses, Components of a Plot, Subplots, Functionalities of a Plot, Plotting Data & Univariate Distributions

This module includes topics such as Basics of Storytelling, ABT Framework, Selecting the Right Data and Creating a Story from Data, Building Good Data Presentations etc.

Types of Data: Time Series, Cross Sections, Panel and Geographical, Chart Selection: Right Chart for the Right Data, Data Preparation and Exploration in Tableau, Data Formats and Tableau Interface etc.

This module includes topics such as Creating Reports: Create Different Charts and Reports and Build a Story, Deduce Inferences from the Charts, Publish to Power BI Service, and Create Dashboards.

Overview of Linear Algebra: Matrices, Inverse of a Matrix, Eigenvalues and Eigenvectors Moving Average, Weighted Moving Averages, Exponential Smoothing Dimensionality Reduction - PCA

This module includes topics such as Customer and Retail Analytics, Financial Analytics, Supply Chain Analytics, HR Analytics, Operations Analytics and Accounting Analytics