Description

Course  Description:

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Business Analytics:

• Data Analyst
• Business Analyst
• Data Scientist
• Predictive Analyst
• Business Intelligence
• Marketing Analyst
• Financial Analyst
• Operations Analyst
• Healthcare Analyst

Essential Skills you will Develop Business Analytics: 

• Data Analysis & Interpretation
• Statistical & Quantitative Analysis
• Tools & Technologies
• Critical Thinking & Problem Solving
• Data Visualization
• Business Acumen
• Predictive Modeling
• Reporting & Presentation Skills

Tools Covered:

• Excel
• SQL
• Python
• Tableau / Power BI
• Google Analytics

Syllabus:

 Module 1: Introduction to Business Analytics What is business analytics?  Types: Descriptive, Predictive, Prescriptive Role in decision-making Real-world applications across industries.

Module 2: Data Collection & Data Management Data types and sources structured/unstructured Data pipelines and storage Data cleaning and preparation
Introduction to SQL and databases.

 Module 3: Exploratory Data Analysis (EDA) Data visualization techniques Summary statistics Outlier detection and data distributions Tools: Excel, Python (Pandas), Tableau basics.

 Module 4: Statistical Analysis for Business Probability & distributions Hypothesis testing Correlation and regression analysis Statistical significance in business context.

Module 5: Predictive Analytics & Machine Learning Introduction to machine learning Linear & logistic regression Decision trees, clustering (K-means) Time series forecasting.

 Module 6: Tools & Technologies in Business Analytics Excel Advanced (Pivot tables, Solver) Power BI & Tableau Python (Numbly, Pandas, Matplotlib R basics optional module.

Module 7: Business Intelligence & Dashboarding Introduction to BI systems Dashboard creation using Power BI/Tableau KPI selection and visualization best practices Automated reporting.

 Module 8: Domain-Specific Analytics Application Marketing analytics (ROI, segmentation) HR analytics (attrition, hiring trends) Financial analytics (risk, forecasting) Supply chain & operations analytics.

 Module 9: Data Ethics, Privacy & Decision-Making Ethical use of business data
Data governance & compliance (GDPR, etc.) Interpreting analytics insights for strategy Communicating results to stakeholders.

 Module 10: Capstone Project & Certification Real-world business analytics project
Team-based or individual Presentation to panel or mentor Certification based on assessment & project.

Industry Projects:

• Sales Forecasting Using Time Series Analysis
• Customer Segmentation for Marketing
• Fraud Detection in Banking
• Inventory Optimization
• Employee Attrition Analysis
• Web Analytics for E-commerce
• Financial Statement Analysis

Who is this program for?

• Students & Fresh Graduates
• Working Professionals
• Managers & Team Leaders
• Entrepreneurs & Business Owners
• IT & Software Professionals
• Career Changers

How To Apply

Mobile: 9100348679

Email: coursedivine@gmail.com