Python for Data Science with GenAI

Mirza Rahim Baig

16 yrs in AI & Data, 3xAuthor, Mentor

In weeks, not months. Logic first. Don't be a code monkey!

Real skills for real data science jobs. No outdated tutorials. Think in logic and use GenAI wisely. One unique course. One capstone. Weekly 1:1 mentorship.

Don't be a code monkey, be a data science doer.

Each week features a hands-on case study. The course is unique - teaches techniques like pseudocode effectively for data science tasks and uses GenAI for assistance for maximum learning. No fluff, just practical skills for data science roles. Additionally, this course will fill a HUGE gap - teaching skills like API fundamentals, using OpenAI API, that are essential for modern data professionals.

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 models using sklearn

  • Use APIs for real world data - foundational knowledge for modern data science/AI

  • Use OpenAI APIs to access GenAI models like GPT

Note: This is not a regular course. You will learn ONLY through case studies, each week, to get extremely practical knowledge.

What you’ll learn

The best way to learn Python for Data Science and AI, with the help of AI.

  • Learn fast with multiple case studies and assignments.

  • Build end to end solutions, not just one off analyses

  • Understand pipelines and analysis orchestration

  • Approaches specially with data science tasks in mind

  • Irrelevant, developer focused topics excluded

  • Fastest way to actually performing analyses

  • Plan your logic before writing Python

  • Learn Pseudocode - the differentiating secret skill

  • Use GenAI for validating your logic & pseudocode

  • Use GenAI for checking and testing YOUR code

  • No lazy use of GenAI to prevent true learning

  • Create multiple projects of varying complexities

  • Get personal mentoring for the projects.

  • Learn about APIs and using them in real world scenarios

  • Use OpenAI API to access latest AI models like GPT

Learn directly from Mirza

Mirza Rahim Baig

Mirza Rahim Baig

AI Leader, GenAI Startup Mentor, Educator, Author | Zalando, Flipkart, ZS

Who this course is for

  • Anyone seeking to make a career in Data Science/AI.

  • Graduates looking to get into Data science/ analytics / AI roles.

  • 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's included

Mirza Rahim Baig

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.

Project mentorship

Get personal mentorship for projects for your portfolio

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund through the second week of the course.

Course syllabus

8 live sessions • 12 lessons • 3 projects

Week 1

Apr 11—Apr 12

    Apr

    12

    Lesson 1: The Case Study, Foundations, Your First Program

    Sun 4/1212:30 PM—2:30 PM (UTC)

    Lesson 1 topics

    1 item • Free preview

Week 2

Apr 13—Apr 19

    Apr

    19

    Lesson 2: Python Elements: Variable Types and Conditionals

    Sun 4/1912:30 PM—2:30 PM (UTC)

    Lesson 2 topics

    1 item • Free preview

    Lesson 2 Material

    1 item

    Tasks

    1 item

Schedule

Live sessions

2 hrs / week

2 hour sessions every week

    • Sun, Apr 12

      12:30 PM—2:30 PM (UTC)

    • Sun, Apr 19

      12:30 PM—2:30 PM (UTC)

    • Sun, Apr 26

      12:30 PM—2:30 PM (UTC)

Projects, assignments

4 hrs / week

4 hours on assignments. This course is for the serious.

Mentorship

1 hr / week

Weekly mentorship calls

Testimonials

  • Great course, excellent Tutor. Rahim explained extremely detailed and complex concepts with ease, even for a newbie like me.
    Testimonial author image

    Student

    Lead Engineer
  • Great course! Highly recommend Rahim's expert guidance and teaching methods.
    Testimonial author image

    Student

    Product Manager

Frequently asked questions

€250

EUR

Apr 11May 31
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