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

Preparing Data for Analysis with Python

Learn how to import and clean data with Python in preparation for data analysis.
Who Is This For?

Data Practitioners interested in enhancing their data analysis skills with Python.

Any prerequisites?
  • Intermediate-level knowledge of Python, including but not limited to working with a variety of Python data types, aggregates, basic functions.
  • Familiarity with spreadsheets as a way to store and organize data.
  • Basic familiarity with the problems of dirty data, such as data stored in spreadsheets.
What will I be able to do after this Course?
  • Import and clean files in Python.
  • Access and JOIN data with Python from multiple sources.
  • Import and Parse JSON appropriately into a DataFrame.
Reimbursement FAQ

Course Overview

Sprint 1: Importing and Cleaning Files in Python
Learn how to import and clean files using Python including basic data manipulation using .loc() and .iloc(), handle missing and duplicate values, and perform basic string cleaning and manipulation.
Sprint 2: Merging Data Sources
Use SQL and Python to access data and import to a Pandas DataFrame, merge multiple DataFrames, and learn how to think through and troubleshoot merge issues before and after they arise.
Sprint 3: Data from the Internet
Explore JSON files to learn their data structure so that they can parse various formats correctly into a Pandas DataFrame.

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