Comprehensive Course on Business Analytics & Business Intelligence

Objective: This course is designed to equip professionals with advanced analytical skills, data visualization techniques, and business intelligence tools to make data-driven decisions. It covers key concepts, methodologies, and best practices used globally in business analytics and intelligence.

Total Course Duration: 100 Hours

Business Analytics Fundamentals & Data Handling: 13 Hours

Data Visualization, BI Tools & Reporting: 22 Hours

Predictive Analytics, Machine Learning & Big Data: 22 Hours

Financial, HR & Operations Analytics: 24 Hours

Data Governance, Ethics & Final Project: 19 Hours

Module 1: Introduction to Business Analytics & Business Intelligence (5 Hours)

  • Overview of Business Analytics & Business Intelligence (BI)
  • Difference Between Descriptive, Predictive & Prescriptive Analytics
  • Importance of Data-Driven Decision Making in Businesses
  • Real-World Applications of Business Analytics & BI

Module 2: Data Collection, Cleaning & Preprocessing (8 Hours)

  • Data Sources & Data Collection Techniques
  • Data Cleaning & Handling Missing Values
  • Data Transformation & Normalization
  • Data Warehousing & ETL (Extract, Transform, Load) Process

Module 3: Data Visualization & Reporting (10 Hours)

  • Fundamentals of Data Visualization & Storytelling with Data
  • Creating Effective Dashboards
  • Tools: Tableau, Power BI, Google Data Studio
  • KPI & Metric Selection for Business Reporting
  • Real-World Case Study: Business Insights Through Visualization

Module 4: Statistical Analysis for Business Decision-Making (10 Hours)

  • Introduction to Statistical Concepts in Business Analytics
  • Descriptive & Inferential Statistics
  • Hypothesis Testing & A/B Testing
  • Regression Analysis (Linear & Logistic)
  • Real-World Application: Statistical Decision-Making in Business

Module 5: Predictive Analytics & Machine Learning in Business (12 Hours)

  • Fundamentals of Predictive Analytics
  • Supervised vs. Unsupervised Machine Learning Models
  • Time Series Analysis & Forecasting
  • Model Evaluation & Optimization
  • Case Study: AI & ML Applications in Business Growth

Module 6: Big Data Analytics & Cloud Computing (10 Hours)

  • Introduction to Big Data & Its Importance
  • Technologies: Hadoop, Spark, AWS, Azure, Google Cloud
  • Real-Time Data Processing & Streaming Analytics
  • Big Data Storage & Management
  • Case Study: How Big Data is Transforming Business Operations

Module 7: Business Intelligence Tools & Technologies (12 Hours)

  • Overview of Business Intelligence Systems
  • Power BI, Tableau, QlikView & Other BI Tools
  • Building Dashboards & Interactive Reports
  • Data Mining & Trend Analysis
  • Case Study: Implementing BI in Business Strategy

Module 8: Financial & Marketing Analytics (8 Hours)

  • Financial Data Analysis & Forecasting
  • Risk Assessment & Fraud Detection
  • Customer Segmentation & Behavioral Analysis
  • Pricing Optimization & Market Trend Prediction
  • Case Study: Data-Driven Financial & Marketing Strategies

Module 9: Supply Chain & Operations Analytics (8 Hours)

  • Demand Forecasting & Inventory Optimization
  • Supplier & Logistics Performance Analytics
  • Process Optimization & Cost Reduction
  • IoT & AI in Supply Chain Decision-Making
  • Case Study: Using Analytics to Optimize Operations

Module 10: HR Analytics & Workforce Planning (8 Hours)

  • Employee Performance & Productivity Metrics
  • Attrition Analysis & Workforce Optimization
  • Diversity, Inclusion & Sentiment Analysis
  • Predictive Modeling for Talent Acquisition
  • Case Study: AI & Analytics in HR Decision-Making

Module 11: Data Governance, Privacy & Ethics (7 Hours)

  • Data Security & Compliance (GDPR, CCPA, HIPAA)
  • Ethical Considerations in Data Analytics
  • Role of AI & Bias in Decision-Making
  • Enterprise Data Management & Best Practices
  • Case Study: Data Governance in Large Enterprises

Final Project & Certification (6 Hours)

  • Developing a Business Analytics Strategy
  • Hands-On Analysis with Real Data Sets
  • Presentation of Business Insights & Recommendations
  • Certification of Completion

This course ensures professionals gain practical knowledge in business analytics and intelligence, covering the latest tools, trends, and best practices used across industries. 

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