Data Science and Python
Learn Python, pandas and visualisation, then apply statistics to answer questions with real datasets.
- Duration
- 12 weeks
- Format
- Self-paced
- Level
- Beginner
Course overview
Learn Python, pandas and visualisation, then apply statistics to answer questions with real datasets. The course is organised into 6 modules, each combining short lessons, exercises and a project task. [Editable overview copy.]
What you will learn
- Write clean Python for data work
- Clean and reshape data with pandas
- Visualise findings with Matplotlib and Seaborn
- Apply core statistics to real questions
- Work in Jupyter notebooks
- Present an end-to-end analysis
Course curriculum
- Overview and setup
- Core concepts
- Guided walkthrough
- Hands-on exercise
- Module project
- Overview and setup
- Core concepts
- Guided walkthrough
- Hands-on exercise
- Module project
- Recap and quiz
- Overview and setup
- Core concepts
- Guided walkthrough
- Hands-on exercise
- Module project
- Overview and setup
- Core concepts
- Guided walkthrough
- Hands-on exercise
- Module project
- Recap and quiz
- Overview and setup
- Core concepts
- Guided walkthrough
- Hands-on exercise
- Module project
- Overview and setup
- Core concepts
- Guided walkthrough
- Hands-on exercise
- Module project
- Recap and quiz
Requirements
- A laptop or desktop with a stable internet connection
- No prior experience required
- Around 6–8 hours a week for lessons and practice
Who should enroll
- College students building practical skills
- Freshers preparing for their first role
- Working professionals who want to upskill
- Career switchers moving into data science
Your instructor
Meera Krishnan
Data scientist and instructor
Meera works with Python, statistics and machine learning, and focuses on explaining the reasoning behind each technique. [Sample instructor profile — replace with verified details.]
Frequently asked questions
[Placeholder: access period, e.g. 12 months from purchase.]
[Placeholder: describe the course completion record, if offered.]
See our Refund Policy for eligibility. [Placeholder terms.]
Yes, through the course Q&A. [Placeholder: response times.]
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