Course Overview

The Data and Business Analytics Course is designed for professionals who want to leverage data for smarter business decisions. The curriculum focuses on data visualization, predictive analytics, statistical modeling, and strategic business applications.

Key Learning Outcomes

• Build strong foundations in data analytics and statistics.

• Perform predictive and prescriptive analytics for business growth.

• Visualize and present data insights for decision-making.

• Master tools like SQL, Tableau, Power BI, and Python.

• Apply analytics in domains like marketing, finance, HR, and operations.

Curriculum Highlights

Module 1: Foundations of Analytics

• Statistics & Probability for Business

• Data Analysis with Excel & SQL

Module 2: Data Analytics & Visualization

• Python for Business Analytics

• Tableau & Power BI Dashboards

Module 3: Advanced Business Analytics

• Predictive Modeling & Forecasting

• Machine Learning Applications in Business

• Business Intelligence (BI) Strategy

Module 4: Business Applications

• Marketing Analytics

• Financial Analytics

• HR & People Analytics

• Supply Chain & Operations Analytics

Capstone Project:
Solve a real-world business problem with analytics tools.

Who Should Enroll?

• Business professionals looking to upskill in analytics.

• Fresh graduates aspiring to enter analytics-driven roles.

• Managers who want to integrate data-driven decisions.

• Entrepreneurs who want to leverage analytics for growth.

Career Opportunities

Graduates can pursue roles such as:

• Business Analyst

• Data Analyst

• Business Intelligence Specialist

• Analytics Consultant

• Marketing/Financial Analyst

Admission Requirements

• Bachelor’s degree in any discipline.

• Basic knowledge of mathematics/statistics recommended.

• Open to freshers and working professionals.