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Before you enroll

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Your receipt

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Python For Data Science

Take your first steps in programming with Python for Data Science. Learn how to store, access, manipulate, and analyze data using Python.
Who Is This For?

Employees with little or no coding experience interested in learning the fundamentals of coding with Python.

Any prerequisites?
  • Basic computer skills (Internet navigation, managing files, troubleshooting).
  • Familiarity with how data is stored in programs like Microsoft Excel.
  • Can dedicate 4-6 hours of study per week and are motivated to learn!
What will I be able to do after this Course?
  • Write organized, well-commented Python code that follows standard naming conventions.
  • Write programs in Python that efficiently use functions and looping structures.
  • Use Python to store, access, and manipulate tabular data.
  • Visualize data with Matplotlib and communicate a clear data story.
Reimbursement FAQ

Course Overview

Sprint 1: Introduction to Python
- Begin your Python course with coding fundamentals.
- Project: Conduct a pricing and buying strategy analysis using Python lists, built-in functions (like sum, average, min, max) and conditional logic.
Sprint 2: Python Functions and Loops
- Use Python functions and `for` loops to transform data.
- Project: Conduct an analysis on timestamp data to identify the source of slowdowns in the packaging stage of a computer manufacturing company.
Sprint 3: Python Data Structures and Libraries
- Manipulate collections of data.
- Import CSV data into pandas DataFrames.
- Project: Transform and analyze a large CSV dataset of an entire production line to identify several potential efficiency improvements.
Sprint 4: Data Visualization and Analysis
- Write Python programs to access, transform and analyze CSV files.
- Visualize data in Matplotlib.
- Your Capstone Project: Transform and analyze a large and complex CSV dataset of multiple production lines in multiple facilities, visualize your insights, and pitch your recommendations to the executive team of the computer manufacturing company.

What’s in a Modal course?

1:1 Coaching
Receive personal guidance, instruction, and motivation from real, practicing industry experts.
Real-world simulations
Practical coursework blends simulated and real-world projects, ensuring you are building job-ready skills.
Integrated code editor
In-browser coding environment mitigates challenges while enabling paired programming and inline feedback.
Structure & flexibility
Engage with content when your schedule allows. Our assignments and deadlines help you stay on track and our coaches keep you accountable.
Individual guidance
Courses for a variety of career goals, skill needs, and company objectives, ensuring learning is both relevant and productive.
Capstones projects
Challenging and satisfying capstone projects allow you to demonstrate the skills you’ve learned, while reinforcing collaboration and business skills.

Meet our coaches

Linda Liu
Director, Data Science & Analytics

Working with the learners makes it an incredibly rewarding journey. The shared excitement and collaborative growth highlight the entire fulfilling coaching experience!

Nataliia Maksimova
Director, Business Intelligence

It's incredibly inspiring to introduce people to the fascinating world of data. Sharing my passion for data and showing that it's not just dry numbers but a creative field where you can grow and innovate is deeply rewarding.

Udit Mehrotra
Senior Data Scientist

Seeing the growth in my learners is not only heartening but also assuring because I know I had a significant role to play in shaping their journey.

Interested in buying multiple seats for your team?
Contact us