30 Hours • Career-Focused
Data Science with Python
Master the complete data science workflow—from data collection and cleaning to analysis, visualization, and data-driven decision-making.
Turn Raw Data into Meaningful Insight
This course introduces the complete data science lifecycle: collecting, cleaning, transforming, and exploring trends to support decisions with evidence.
The Lifecycle
We build a connected understanding of how data science is used in business, research, operations, and technology settings—not just tools in isolation.
Who It's For
Ideal for students, aspiring analysts, and business professionals interested in data-driven work and statistical thinking.
The Outcome
By the end, you'll analyze datasets confidently, create clear visual reports, and produce portfolio-ready work.
What You'll Master
- Introduction to data science concepts and workflow
- Python for data analysis (Pandas, NumPy)
- Data cleaning and transformation techniques
- Exploratory data analysis (EDA)
- Data visualization and storytelling
- Working with real-world datasets
- Statistical thinking for data interpretation
- Project-based learning and practical assignments
- Industry-relevant skills for analytics roles