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.

‍

<- Back to catalog

Data Visualization with Python

Learn how to visualize data in meaningful ways with Python for analysis and reporting.
Who Is This For?

Data Practitioners interested in using Python to visualize and analyze data.

Any prerequisites?
  • Basic understanding of descriptive statistical concepts, such as measure of center, IQR, normal distribution, etc.
  • Intermediate-level Python knowledge, including but not limited to working with a variety of Python data types, aggregates, basic functions, and Pandas DataFrames.
  • Familiarity with exploring and manipulating tabular data (spreadsheets).
What will I be able to do after this Course?
  • Create plots for univariate, bivariate, and multivariate analysis in Matplotlib and Seaborn.
  • Create subplots and customize plots to increase clarity and impact of presented analysis.
  • Use functions to create visualizations with multiple data sets.
Reimbursement FAQ

Course Overview

Sprint 1: Plotting for Univariate, Bivariate, and Multivariate Analysis
Learn how to use basic plots in Matplotlib and Seaborn to conduct Univariate, Bivariate, and Multivariate analysis. This includes time-series data and dealing with messy data, such as data with extreme outliers that affect the visualization.
Sprint 2: Subplots and Customization
Learn how to use Subplots to display multiple visualizations for complex data. Learn how to customize plots, including color theory and choosing color-blind friendly palettes, to more clearly communicate with the intended audience.
Sprint 3: Visualization and Sharing at Scale
Learn how to use functions to create visualizations with multiple data sets, and how to export visualizations for better sharing.

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