Learn Python programming and data science fundamentals through hands-on projects. Master Python basics, work with data using NumPy and Pandas, and cre...
Lessons
20
Activities
20
Projects
5
Duration
24 sessions • 6 months
Learn Python programming and data science fundamentals through hands-on projects. Master Python basics, work with data using NumPy and Pandas, and create visualizations to tell data stories.
This course consists of 24 structured sessions over 6 months. Each session includes lessons, activities, projects, and assessments to ensure comprehensive learning.
Python basics and Jupyter environment
Variables and basic operators
Lists and conditional logic
Loop structures and iteration
Apply Python fundamentals to data analysis
Key-value data structures
Functions and package management
Data analysis with functions
Numerical computing and statistics
Tables and charts with Matplotlib
Statistical analysis and visualization
Assessment of fundamentals
Data analysis and Pandas library
Working with CSV files and data cleaning
Advanced data transformation
Data aggregation and combining datasets
Data insights and report creation
Dataset exploration
Data visualization and reporting
Advanced assessment
Project planning and analysis
Implementation and development
Presentation and documentation
Project evaluation and course completion
Python
Master Python through practical application
Numpy
Master Numpy through practical application
Data Analysis
Master Data Analysis through practical application
Practical Skills
Build real-world applications and projects
Problem Solving
Develop computational thinking and problem-solving abilities
Join this course and start your learning journey today.
