Business Analytics Certified Course

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About Course

Course  Description:

 The Business Analytics statistical methods to understand and improve business performance. It involves analyzing historical data to identify patterns, predict future outcomes, and make data-driven decisions. This helps organizations optimize their operations, identify new opportunities, and enhance their competitive advantage.

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

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