Python for Data Science with GenAI
10 Weeks
·Cohort-based Course
The best way to learn Python for Data Science and AI, with the help of AI.
Python for Data Science with GenAI
10 Weeks
·Cohort-based Course
The best way to learn Python for Data Science and AI, with the help of AI.
Course overview
The fastest path to Python proficiency
There is NO need to learn Python the old way. Don't spend months learning how to write loops. With the help of GenAI, you will be actually doing things in no time.
Go from being afraid of Python to being confident that you can use it easily to do ANYTHING in Data Science.
By the end of this course, students will be able to: -
- Apply Python programming concepts - specifically for data science tasks
- Manipulate and analyze data using key Python libraries
- Create effective data visualizations to communicate insights
- Implement end-to-end data analysis projects
- Create ML/AI models using sklearn
- Use APIs for real world data access - foundational knowledge for modern data science/AI
This is not a regular course. You will learn ONLY through case studies, one each week, to get extremely practical knowledge.
Learn fundamentals of APIs and fundamentals of ML/AI in sklearn.
Who is this course for
01
Anyone seeking to make a career in Data Science/AI.
02
Graduates looking to get into Data science/ analytics / AI roles.
03
Professionals in adjacent roles who would like to move to data science roles.
Prerequisites
No prerequisites!
Basic IT literacy is enough. If you can use technology to access this course, you're good!
What you’ll get out of this course
Learn Python by doing
Application is the best way to learn Python. Do so with multiple case studies and assignments.
Learn end-to-end analyses using Python
Use Python along with GenAI and learn how to build end to end solutions, not just one off analyses.
Learn APIs and using them
Learn and apply the essential skills for modern data science.
Multiple projects for your portfolio
Create multiple projects of varying complexities and highlight them on your portfolio. Get personal mentoring for the projects.
7 interactive live sessions
Fully interactive, live learning with a small cohort for maximum learning
1:1 mentorship
Weekly 1:1 mentorship calls with a globally reputed AI expert with tremendous practical real world experience.
Case study every week
What’s included
Live sessions
Learn directly from Mirza Rahim Baig in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
9 live sessions • 10 lessons • 3 projects
Week 1
May
24
Lesson 1: Python for Data Science, your first analysis
Module 1 topics
Week 2
May
31
Lesson 2: Python elements, key libraries
Module 2 topics
Lesson 2 Material
Tasks
Week 3
Jun
7
Lesson 3: Data Analysis
Module 3 topics
Tasks
Week 4
Jun
14
Lesson 4: Data Visualization
Module 4 topics
Material
Tasks
Week 5
Week 6
Jun
26
Lesson 5: Exercises
Jun
28
Lesson 6: Statistics and Machine Learning
Module 6 topics
Week 7
Jul
6
Lesson 7: Working with APIs in Python
Module 7 topics
Material
Week 8
Week 9
Jul
20
Lesson 8: End-to-end analysis
Week 10
Jul
26
Course closure, next steps
Exercise: Text analysis with OpenAI API
What people are saying
Student
Student
Meet your instructor
Mirza Rahim Baig
Mirza Rahim Baig
This is where you'll add your bio as a way to establish credibility and demonstrate to your audience why you're the right person to teach this course.
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Python for Data Science with GenAI
Course schedule
4-6 hours per week
Saturdays
10 AM - 11:30 AM
Weekly projects
2 hours per week
Every week will have a task, and a project to takeaway. The projects will be suitable to highlight in your portfolio.
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Frequently Asked Questions
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