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course

Understanding Data Science

Beginner

4.8+

Updated 01/2025

An introduction to data science with no coding involved.

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TheoryData Literacy2 hours15 videos48 exercises3,000 XP687,426Statement of Accomplishment

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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!

Prerequisites

There are no prerequisites for this course

1

Introduction to Data Science

What is data science?

Why data science?

Going with the workflow

Applications of data science

Investment research

Assigning data science project

Data science roles and tools

Editing a job post

Matching skills to jobs

Classifying data tasks

2

Data Collection and Storage

Data sources

Sorting data sources

Asthma frequencies

Classifying data types

Net promoter score

Activity tracker

Data storage and retrieval

Cloud platforms

Querying a database

Which type of database?

Data Pipelines

Data pipeline characteristics

Extract Transform Load

3

Preparation, Exploration, and Visualization

Data preparation

The truth is out there

Are you prepared?

Exploratory Data Analysis

Numerical EDA

Visualization

Interactive dashboards

Improving a dashboard

4

Experimentation and Prediction

A/B Testing

Creating an A/B testing workflow

Statistical significance

Intermediate results

Time series forecasting

Classifying time series data

Interpret a time series plot

Supervised machine learning

When to use supervised learning

Features and labels

Model Evaluation

Supervised vs. unsupervised

Cluster size selection

Congratulations!

Understanding Data Science

Course
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Don’t just take our word for it

*4.8

from 521 reviews

82%

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Most recent
Top reviews

Catarina M.

9 days

Easy follow and clear content. Great to start

Zulma S.

14 days

Clear and interesting concepts about data science.

allen M.

14 days

The explanations are short, simple, precise and easily understandable. . I loved it. Thank you

Edwin Q.

21 days

Great intro to an important topic

more s.

24 days

Very informative

"Easy follow and clear content. Great to start"

Catarina M.

"Clear and interesting concepts about data science."

Zulma S.

"The explanations are short, simple, precise and easily understandable. . I loved it. Thank you"

allen M.

FAQs

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