Syllabus for Business Data Analytics CBDA Training
Module 1: Introduction to Business Data Analytics (CBDA)
- Role and importance of data in decisionmaking
- Impact of data on modern businesses
- Fundamental terms and concepts
Module 2: Data Collection and Management
- Identifying and gathering data from various sources
- Ensuring data accuracy, completeness, and reliability
- Introduction to relational databases and data warehousing
Module 3: Data Cleaning and Preparation
- Techniques for cleaning and preparing data
- Strategies for handling missing data
- Converting data into analyzable formats
Module 4: Exploratory Data Analysis
- Summarizing data with descriptive statistics
- Basics of data visualization
- Techniques for identifying trends and patterns
Module 5: Statistical Analysis and Hypothesis Testing
- Understanding probability distributions and statistical inference
- Performing hypothesis tests
- Analyzing relationships between variables with regression
Module 6: Data Visualization and Reporting
- Advanced visualization tools
- Designing interactive dashboards
- Effective data storytelling
Module 7: Predictive Analytics
- Basics of predictive modeling and forecasting
- Overview of machine learning techniques
- Evaluating model accuracy and reliability
Module 8: Business Intelligence and Data Warehousing
- Introduction to Business Intelligence tools
- Data warehousing concepts
- Overview of ETL processes
Module 9: Big Data and Advanced Analytics
- Challenges and opportunities of big data
- Overview of big data tools
- Advanced analytics techniques
Module 10: Capstone Project
- Applying skills to a comprehensive project
- Conducting endtoend data analysis
- Preparing and presenting a final report