Learn how to explore, clean, and analyze data using Python. This hands-on course equips you with practical skills in data manipulation, visualization, and basic statistics using popular Python libraries like Pandas, Matplotlib, and Seaborn. Master data workflows and build confidence in turning raw data into clear, actionable insights.
Course Overview
Python is one of the most widely used languages in data science and analytics. This course gives you a strong foundation in using Python for real-world data tasks. You’ll learn to load datasets, clean messy data, perform basic analysis, and create visualizations to tell compelling data stories. No prior programming experience required.
What You Will Learn
- Read and manipulate data with Pandas
- Clean and reshape datasets for analysis
- Create visualizations using Matplotlib and Seaborn
- Perform basic statistical analysis and summarization
- Work with real-world data files (CSV, Excel, JSON)
Course Features
- Guided, hands-on exercises with real data
- Clear explanations suitable for beginners
- Flexible, self-paced learning environment
- Certificate awarded upon completion
Course Duration
Learn at your own pace over 4 to 6 weeks. Plan for about 3 hours per week of video lessons, coding practice, and small projects.
Who Should Take This Course?
- Beginners interested in data analysis with Python
- Students and professionals transitioning into data roles
- Anyone seeking to strengthen analytical thinking and coding skills
What Our Students Say
“I now understand how to handle real data with Python, very practical and well-taught.” – Leah M.
“This course gave me the confidence to start applying for data analyst roles.” – Chanda K.
Enroll Today
Begin your data analysis journey with Python. Build skills that help you make sense of data and unlock new opportunities.