Course Overview

Business Analytics courses intend to illustrate the use of data and strengthen your analytical skills required for informed decision-making 1n business. Beginning with problem-solving techniques, action planning and data connections, the course is aimed at developing strong foundational skills required for business analysts in the areas of spreadsheet modeling, data wrangling and visualization using Microsoft Excel.

Course Modules

• Introduction to Business Analytics
• Problem Solving Techniques
• Spreadsheet Modelling
• Data Wrangling and Visualization Using Excel

Learning Outcomes

• Understand analytical decision-making processes
• Learn how to frame solutions for business problems
• Use Excel to analyze data and create data models

Job Prospects

• Business Analyst
• Strategy Analyst
• MIS and Reporting

Course Overview

This course aims at preparing learners to use various statistical tools and quantitative techniques in order to make better business decisions. Many tools for statistical analysis have emerged and are becoming more sophisticated, powerful and user-friendly. Statistical analyses play a critical role in business decision-making. The goal of this course is to prepare learners to get in-depth knowledge of the required mathematics for business analytics.

Course Modules

• Introduction to Descriptive and Inferential Statistics
• Basics of Probability
• Hypothesis Testing
• Mathematics for Business Analytics

Learning Outcomes

• Use inferential and descriptive statistics to make business decisions
• Use basic statistical concepts on multiple types of data
• Understand the causation in data using test of hypothesis
• Understand relevant mathematical concepts

Job Prospects

• Business Analyst
• Quantitative Research Analyst
• Statistician

Course Overview

This course is specially designed to empower learners with relevant knowledge on the tools required for performing business analytics. The program provides an in-depth understanding of the working of key tools for business analytics including SAS, R Programming and Orange.

Course Modules

• Business Analytics Using SAS
• Data Analysis Using R
• Business Analytics Using Orange

Learning Outcomes

• Use R Packages for Data Analysis and Data Modelling
• Use SAS platform for Data Analysis, Visualization and building models
• Use Orange tool for Data Analysis and Data Modelling

Job Prospects

• SAS Consultant
• Data Analyst
• Business Intelligence Consultant

Course Overview

Data Storytelling has become the foundation for modern and evolving businesses that put customers at the centre to create impactful data visualizations, drive decisions and build strong networks. This course enables learners to understand the fundamental concepts of data storytelling and the skills required to engage a niche audience successfully and enable data-driven decision making.

Course Modules

• Data Visualization Using Tableau
• Data Visualization Using Power BI
• Data Visualization Using Google Studio

Pre-requisite

Knowledge of Excel

Learning Outcomes

• Learn how to import data from various data sources
• Understand how to pre-process data for visualization
• Learn design principles and techniques
• Prepare KPI and score cards
• Create dashboard and story cards

Job Prospects

• Business Intelligence Consultant
• Reporting Analyst
• Tableau Developer
• Power BI Developer
• Insight and Visualization Analyst

Course Overview

Predictive Modeling is a vital part of predictive analytics that most modern businesses use to drive and deliver better and more consumer-centered processes. Predictive Modeling enables organizations to predict future outcomes by analysing existing sets of data. During this course, learners will gain a solid understanding of Predictive Modeling techniques such as Machine Learning, Natural Language Processing, Text Analysis, etc.

Course Modules

• Regression Predictive Models
• Classification Predictive Models
• Social Media and Text Analysis
• Time Series Forecasting

Learning Outcomes

• Build Linear Regression models
• Build Classification models using Logistic Regression and Decision Tree
• Use ARIMA models for time series forecasting
• Perform Sentiment Analysis using Orange

Job Prospects

• Data Analyst
• ML Model Solution Expert
• Data Scientist
• NLP Expert

Course Overview

Applied business analytics enables businesses to analyse large datasets and derive relevant information to solve persisting problems. Business analytics skills are in demand by employers across advancing technology- and customer-centric organizations that want to increase efficiency, revenue and productivity. In this course, learners will understand how to study data and empower business leaders to use this data to drive better decision making.

Course Modules

• Marketing Analytics
• HR Analytics
• Supply Chain Analytics
• Financial Analytics

Learning Outcomes

• Learn how to segment customers based on similar attributes and forecast revenue generation from customers
• Use descriptive and inferential statistics to analyze HR data
• Predict employee turnover and performance
• Understand financial statistics, such as daily returns and cumulative returns

Job Prospects

• Marketing Analyst
• Financial Analyst
• HR Analyst
• Supply Chain Consultant