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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Cleaning and Preparing Data

Learn basic techniques for how to organize and clean data in spreadsheets in preparation for distribution and analysis.
Who Is This For?

Non-data professionals interested in cleaning and preparing data they’ve collected for later analysis.

Any prerequisites?
  • Familiar with data fundamentals, such as the difference between structured and unstructured data.
  • Familiar with how to read a data plan.
  • Familiar with data collection processes.
  • Knowledge of common spreadsheet tools (ex. Excel) to edit, sort, filter, validate, and manipulate data.
What will I be able to do after this Course?

Create clean, organized datasets in preparation for sharing and analysis.

Reimbursement FAQ

Course Overview

Learning Path: Preparing Useful Data
This course is part of Modal's Preparing Useful Data Learning Path. Take this course individually or enroll in all three courses and take on a Capstone Project.
Course 1: Data Collection
Learn methods for collecting useful and usable data, such as identifying potential data sources that align with a research question, selecting the right data collection method, and curating data from existing sources.
Course 2: Representing Accurate Insights
Differentiate between different types of bias, identify misleading statistics, and develop your own defensible experiment that mitigates the effect of bias.
This Course: Cleaning and Preparing Data
- Learn how to assess data organization requirements and use a variety of methods to organize your data.
- Learn several techniques for cleaning your data and converting the results into useful formats based on stakeholder needs.
Capstone Project
Apply the skills you acquired on this Learning Path to solve a real-world data analysis challenge and earn your certificate.

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