Course

Data Analysis for Business in Python

In this course, you’ll learn how to work with data in a business context. While the role of data scientist and data analyst is technical, you will need to collaborate effectively with non-technical coworkers. By the end, you’ll understand the key business metrics organizations use — and how to successfully communicate the results of your analysis.

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Part of the Data Analyst (Python), and Data Scientist (Python) paths.

4.8 (359 reviews)

12,007 learners enrolled in this course.

Intermediate friendly
6 hours
Self paced
4 lessons
1 project

“I’ve done courses from DataCamp and Dataquest. In my opinion, Dataquest is much better because it makes you make an effort.”

Jorge Varade

Data Analytics Engineer @checkout.com

Data Analysis for Business in Python

Enroll For Free

Course overview

In this course, you’ll learn how to respond to key business needs using data, such as understanding churned customers, pricing, customer ratings, etc. You’ll learn to work with ambiguous, imprecise, and subjective data — the “fuzzy” side of data — to present key business metrics like churn rate and net promoter score.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. You’ll also apply your skills to a guided project involving a realistic business scenario to build your portfolio and prepare for your next interview.

Key skills

Resolving fuzzy language in a business context
Defining the key business metrics
Measuring business performance
Communicating with a non-technical audience

Course outline

Data Analysis for Business in Python [4 lessons]

Fuzzy Language in Data Science 2h

Lesson Objectives

Define nebulous language
Resolve fuzzy language

Communicating Results 2h

Lesson Objectives

Identify the business context of data science
Identify the importance of prototyping
Communicate with a non-technical audience
Define the business workflow

Business Metrics 2h

Lesson Objectives

Define a metric
Identify what makes a good metric
Define the net promoter score
Define churn rate

Guided Project: Popular Data Science Questions 1h

Lesson Objectives

Determine data science content to write
Identify how the most popular content is trending

Projects in this course

The Dataquest guarantee

Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Share the evidence of your hard work with your network and potential employers.

Grow your career with
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98%

of learners recommend

Dataquest for career advancement

4.85

Dataquest rating

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$30k

Average salary boost

for learners who complete a path

Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”