Phase 1 • Python Foundations
Phase 1 establishes core Python programming skills from the ground up. Learners build fluency with syntax, data structures, and essential programming patterns that form the foundation for all subsequent analytics and ML work.
What you will practice
- Writing clean, functional Python code with variables, operators, and control flow.
- Working with fundamental data structures: lists, tuples, sets, and dictionaries.
- Building reusable functions and organizing code into modules.
- Handling files, exceptions, and date/time operations.
- Managing dependencies with pip and virtual environments.
Lesson sprint
- :material-tag: Day 1 – Python for Business Analytics - First Steps: Set up your environment and write your first Python program.
- :material-tag: Day 2 – Storing and Analyzing Business Data: Work with variables, data types, and built-in functions.
- :material-tag: Day 3 – Operators - The Tools for Business Calculation and Logic: Master arithmetic, comparison, and logical operators.
- :material-tag: Day 4 – Working with Text Data - Strings: Manipulate and format text data effectively.
- :material-tag: Day 5 – Managing Collections of Business Data with Lists: Use lists to store and process collections of data.
- :material-tag: Day 6 – Tuples - Storing Immutable Business Data: Work with immutable sequences for data integrity.
- :material-tag: Day 7 – Sets - Managing Unique Business Data: Use sets for unique collections and set operations.
- :material-tag: Day 8 – Dictionaries - Structuring Complex Business Data: Store key-value pairs for structured data.
- :material-tag: Day 9 – Conditionals - Implementing Business Logic: Make decisions with if/elif/else statements.
- :material-tag: Day 10 – Loops - Automating Repetitive Business Tasks: Automate workflows with for and while loops.
- :material-tag: Day 11 – Functions - Creating Reusable Business Tools: Build modular, reusable code with functions.
- :material-tag: Day 12 – List Comprehension - Elegant Data Manipulation: Write concise, readable data transformations.
- :material-tag: Day 13 – Higher-Order Functions & Lambda: Use map, filter, reduce, and lambda expressions.
- :material-tag: Day 14 – Modules - Organizing Your Business Logic: Structure code into importable modules.
- :material-tag: Day 15 – Exception Handling - Building Robust Business Logic: Handle errors gracefully with try/except.
- :material-tag: Day 16 – File Handling for Business Analytics: Read and write files for data persistence.
- :material-tag: Day 17 – Regular Expressions for Text Pattern Matching: Match and extract patterns from text.
- :material-tag: Day 18 – Classes and Objects - Modeling Business Concepts: Use object-oriented programming for complex systems.
- :material-tag: Day 19 – Working with Dates and Times: Handle temporal data effectively.
- :material-tag: Day 20 – Python Package Manager (pip) & Third-Party Libraries: Install and manage external packages.
Learning outcomes
By completing Phase 1, you will be able to:
- Write production-quality Python code following best practices.
- Choose the right data structure for each business scenario.
- Build modular, maintainable programs with functions and classes.
- Handle errors and edge cases professionally.
- Manage project dependencies and virtual environments.
Ready to continue? Advance to Phase 2 – Data Analytics & Workflows to apply Python to real-world data tasks.