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

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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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Data Analysis Fundamentals

Start analyzing data! Explore types of analysis and tools, and perform basic exploratory data analysis in spreadsheets.
Who Is This For?

This is a beginner course aimed at non-data professionals that are interested in developing a foundational skill set for data 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 preparation and collection processes.
  • Knowledge of common Excel actions and functions to edit, sort, filter, validate, and manipulate data.
What will I be able to do after this Course?

Create a data analysis report describing meaningful data insights gathered from basic exploratory data analysis.

Reimbursement FAQ

Course Overview

Learning Path: Data-Driven Decision Making
This course is part of Modal's Data-Driven Decision Making Learning Path. Take this course individually or enroll in all three courses and take on a Capstone Project.
This Course: Data Analysis Fundamentals
Learn how data analysis produces meaningful insights. You'll explore different types of analysis and tools, review a data plan to select the right analysis method, and perform basic exploratory data analysis.
Course 2: Statistics Essentials
Learn about the fundamental concepts of statistics used to describe data. You will build a foundation in statistical thinking by exploring research methods and concepts like measures of center, normal distribution, sampling and visualizing data.
Course 3: Data Analysis with Spreadsheets
Combine your knowledge of statistics with built-in spreadsheet tools to visualize and analyze a dataset. You’ll practice calculating measures of spread, visualizing one or more variables, creating a random sample of a dataset, and more, all using a range of advanced spreadsheet formulas designed to enable rapid data analysis.
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