Business Statistics
Descriptive Statistics
- Data Types
- Measure of Central Tendency
- Measures of Dispersion
- Graphical Techniques
- Skewness & Kurtosis
- Box Plot
Probability
- Random Variable
- Probability Distribution
- Normal Distribution
- SND (Standard Normal Distribution)
- Expected Value
Inferential Statistics
- Sampling Funnel
- Sampling Variation
- Central Limit Theorem
- Confidence Interval
- Hypothesis Testing
- 2 Proportion Test
- 2 Sample t-Test
- ANOVA and Chi-Square
Basics of Excel
- Introduction to Excel
- Navigating the Excel Interface
- Basic Excel Functions and Formulas
- Data Entry Techniques
- Formatting Cells and Sheets
- Data Sorting and Filtering
- Introduction to PivotTables
- Conditional Formatting for Data Insights
- Excel Functions for Statistical Analysis
- Date and Time Functions
- Lookup Functions (VLOOKUP, HLOOKUP)
Fundamentals of AI
- Introduction to Artificial Intelligence
- History of AI
- AI Applications and Case Studies
- Ethics in AI
- Basic Machine Learning Concepts
- Supervised vs. Unsupervised Learning
- Neural Networks
- Deep Learning Fundamentals
- Natural Language Processing (NLP)
- Computer Vision Basics
- Robotics and AI
- AI in Business and Industry
- Future Trends in AI
Analytics in Python
- Introduction to Python
- Python Setup and Environment Configuration
- Basic Syntax and Variables
- Data Types in Python
- Control Structures (if-else, loops)
- Functions and Modules
- Exception Handling
- NumPy for Numerical Data
- Pandas for Data Manipulation
- Data Cleaning Techniques
- Introduction to Statistics with Python
- Basics of Data Gathering and Web Scraping
