Skip to main content

Understanding Data Science

395 reviews

An introduction to data science with no coding involved.

Start Course for Free
2 Hours15 Videos48 Exercises
498,167 Learners

Create Your Free Account



By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies

Course Description

What is data science, why is it so popular, and why did the Harvard Business Review hail it as the “sexiest job of the 21st century”? In this non-technical course, you’ll be introduced to everything you were ever too afraid to ask about this fast-growing and exciting field, without needing to write a single line of code. Through hands-on exercises, you’ll learn about the different data scientist roles, foundational topics like A/B testing, time series analysis, and machine learning, and how data scientists extract knowledge and insights from real-world data. So don’t be put off by the buzzwords. Start learning, gain skills in this hugely in-demand field, and discover why data science is for everyone!
  1. 1

    Introduction to Data Science


    We'll start the course by defining what data science is. We'll cover the data science workflow and how data science is applied to real-world problems. We'll finish the chapter by learning about different roles within the data science field.

    Play Chapter Now
    What is data science?
    50 xp
    Customer segmentation workflow
    100 xp
    Building a customer service chatbot
    100 xp
    Applications of data science
    50 xp
    Assigning data science project
    100 xp
    Investment research
    50 xp
    Data science roles and tools
    50 xp
    Editing a job post
    50 xp
    Matching skills to jobs
    100 xp
    Classifying data tasks
    100 xp
  2. 2

    Data Collection and Storage

    Now that we understand the data science workflow, we'll dive deeper into the first step: data collection and storage. We'll learn about the different data sources you can draw from, what that data looks like, how to store the data once it's collected, and how a data pipeline can automate the process.

    Play Chapter Now
  3. 3

    Preparation, Exploration, and Visualization

    Data preparation is fundamental: data scientists spend 80% of their time cleaning and manipulating data, and only 20% of their time actually analyzing it. This chapter will show you how to diagnose problems in your data, deal with missing values and outliers. You will then learn about visualization, another essential tool to both explore your data and convey your findings.

    Play Chapter Now
  4. 4

    Experimentation and Prediction

    In this final chapter, we'll discuss experimentation and prediction! Beginning with experiments, we'll cover A/B testing, and move on to time series forecasting where we'll learn about predicting future events. Finally, we'll end with machine learning, looking at supervised learning, and clustering.

    Play Chapter Now

In the following tracks

Understanding Data Topics
Sara Billen HeadshotSara Billen

Data Scientist at DataCamp

Sara is a graduate of a master's degree in Business Engineering and Marketing Analysis. Prior to working at DataCamp she worked as a Data Science consultant for a Belgian IT company. Sara is passionate about education, data science, and business and loves that she is able to combine all of these disciplines in her job as curriculum manager at DataCamp.
See More
Lis Sulmont HeadshotLis Sulmont

Content Program Manager at Duolingo

Lis holds a Master's degree in Computer Science from McGill University with a focus on computer science education research and applied machine learning. She's passionate about teaching all things related to data and improving the accessibility of these topics.
See More
Hadrien Lacroix HeadshotHadrien Lacroix

Curriculum Manager at DataCamp

Hadrien has collaborated on 30+ courses ranging from machine learning to database administration through data engineering. He's currently enrolled in a Masters of Analytics at Georgia Tech.

Hadrien started using DataCamp when the platform only had 27 courses. He then joined the Support team and helped students before becoming a Content Developer himself.

Follow Hadrien on LinkedIn
See More

Don’t just take our word for it

from 395 reviews
Sort by
  • Sadan O.
    3 days

    Great summary. Thanks!

  • Walid A.
    15 days

    Good to start with.

  • Victor B.
    18 days

    nice info

  • Muhammad A.
    23 days

    I found very fascinating and easy to follow but unfortunately it's not free. I wish if they could come up with free courses as well.

  • hamza e.
    24 days

    I really enjoyed this course

"Great summary. Thanks!"

Sadan O.

"Good to start with."

Walid A.

"nice info"

Victor B.


Join over 12 million learners and start Understanding Data Science today!

Create Your Free Account



By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.