How to expense a Modal Course
Before you enroll

Remember to confirm your employer’s expense policy and/or get approval from your manager before purchasing a Modal Course! Please refer to any internal guidelines for the most accurate instructions for getting reimbursed.

Your receipt

After you enroll in a Modal Course, you will receive a receipt via email. Be sure to double check what your company requires, but typically you can attach this receipt to your company’s expense software, or forward it directly to your accounting team for reimbursement. Please reach out to support@modal.io if you need help adding extra required information to your receipt or if you have any questions.

Your certificate

Some employers require a certificate of completion before reimbursing an educational expense like this one. Upon completion of your course, you will receive your certificate via email, and will also be able to download your certificate from your Modal Dashboard. Your certificate will include your name, the course name, and the month/year you earned your certificate.

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Intermediate Python for Data Science

Dive deeper into the world of Python for data science! You’ll experiment with user-defined functions to create more efficient code, create streamlined functions and loops, harness the power of regular expressions, and more.
Who Is This For?

Data Analysts and Data Scientists interested in expanding their basic Python skill set for more complex data-based projects.

Any prerequisites?
  • Familiarity with control flow (loops, etc.) in Python.
  • Familiarity with NumPy and DataFrames.
  • Familiarity with a variety of Python data structures (lists, sets, tuples, and dictionaries).
What will I be able to do after this Course?
  • Construct and debug complex functions, including writing good function documentation.
  • Use Pandas and visualization libraries to manipulate and analyze time series data, categorical data, and numerical data.
  • Use native Python and Regex to manipulate and analyze string data.
Reimbursement FAQ

Course Overview

Sprint 1: Getting the Most Out of Your Functions
National Treasures, an outdoor concierge service that helps people plan vacations in state and national parks, needs some analysis on where to invest in building more amenities for campsites. You're taking over this project from a colleague, completing their work, debugging some final issues, and making a pitch to leadership.
Sprint 2: Working With Different Data Types
National Treasures is running a promotion on trips to New Hampshire, Utah, and Montana. The product team wants to be able to give a weather report to entice travel at certain times of the year. You’ll create compelling and informative visualizations to help the company decide how to present this information to customers.
Sprint 3: String Data and Regex
National Treasures has rolled out a successful pilot feature for premium members - they can write a brief description of their ideal camping vacation and a concierge at National Treasures will provide recommendations for where and when to go. This feature has brought so much engagement and customer satisfaction that the product team wants to automate the service and make it free for everyone. It’s your job to build the prototype!

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