• Understanding the Role of Business Analytics in Decision-Making
• Exploring Data Analytics Tools and Software
• Basic Data Manipulation and Visualization Techniques

• Data Sources and Collection Methods
• Data Cleaning and Transformation
• Data Quality Assessment

• Descriptive Statistics
• Inferential Statistics
• Hypothesis Testing and Confidence Intervals

• Data Visualization Principles and Best Practices
• Creating Interactive Dashboards
• Tools like Tableau or Power BI

• Introduction to Machine Learning
• Supervised vs. Unsupervised Learning
• Regression and Classification Models

• Decision Trees and Random Forests
• Support Vector Machines
• Model Evaluation and Validation

• Time Series Data and Components
• Forecasting Techniques
• Applications in Business

• NLP Fundamentals
• Text Preprocessing and Sentiment Analysis
• NLP Applications in Customer Feedback and Reviews

• Introduction to Big Data Technologies (e.g., Hadoop, Spark)
• Handling Large Datasets
• Real-time Analytics

• Analyzing Real Business Cases
• Developing Insights and Recommendations
• Presenting Findings to Stakeholders

• Ethical Considerations in Data Handling
• GDPR and Data Privacy Regulations
• Responsible Data Use

• Analytics in Finance, Marketing, Healthcare, and E-commerce
• Tailoring Analytics Solutions to Industry Needs

• Crafting a Data-Driven Resume
• Mock Interviews and Interview Tips

• Work on a Real-world Business Analytics Project
• Apply Knowledge and Skills in a Practical Setting

• Customer Segmentation Analysis
• Sentiment Analysis and Social Media Insights
• Credit Risk Assessment
• Healthcare Analytics
• Retail Price Optimization