About This Course
Learn Python, statistics, data analysis, visualization and applied AI/machine learning through practical, real-world projects. Designed for learners who want a hands-on path into modern data science and AI-driven analytics roles.
What You'll Learn
- ✓Python for data analysis
- ✓Statistics & probability
- ✓Data visualization
- ✓Applied machine learning
- ✓Intro to AI/LLM tools
- ✓Real-world capstone project
Course Curriculum
8 modules • 3 Months
- Introduction to Unix
- Unix file system and directory structure
- Basic Unix commands
- File and directory management
- Permissions and ownership
- Basic shell commands and utilities
- Introduction to Linux
- Linux commands and terminal usage
- File and folder operations
- Users, groups and permissions
- Processes and basic system administration
- Excel fundamentals and data organization
- Formulas and functions
- Sorting and filtering data
- Data cleaning and formatting
- Pivot Tables and Pivot Charts
- Basic Excel dashboards
- Introduction to Power BI
- Connecting and importing data
- Power Query and data transformation
- Data modeling
- DAX fundamentals
- Creating interactive visualizations
- Reports and dashboards
- Publishing and sharing reports
- Python fundamentals and syntax
- Variables, data types and operators
- Conditional statements and loops
- Functions and modules
- Lists, tuples, sets and dictionaries
- File handling
- Exception handling
- Object-oriented programming basics
- NumPy fundamentals
- Pandas for data analysis
- Data cleaning and manipulation
- Practical Python data analysis project
- Introduction to databases and SQL
- Database and table creation
- SELECT statements
- Filtering and sorting data
- Aggregate functions
- GROUP BY and HAVING
- Joins and relationships
- Subqueries
- Common Table Expressions (CTEs)
- Views
- Stored procedures basics
- Data modification commands
- Practical SQL queries and exercises
- Introduction to DevOps
- DevOps lifecycle
- CI/CD fundamentals
- Build and deployment concepts
- Introduction to cloud-based DevOps practices
- Introduction to Git and version control
- Git installation and configuration
- Repositories and basic Git commands
- Commit, push and pull
- Branches and merging
- GitHub repositories
- Collaborating using GitHub
