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Data Scientist in Python

Master the skills you need to pass the Data Scientist in Python certification and prepare yourself for success in the field of data science. Throughout this track, you will focus on using Python for data science, starting with the basics and progressing to more advanced topics such as machine learning. You’ll cover a broad range of areas, including data manipulation, visualization, and analysis, using popular Python libraries such as pandas, Seaborn, Matplotlib, and scikit-learn. As you progress, you’ll work through interactive exercises using real-world datasets to help you test your abilities and develop your skills. These examples will help you explore various statistical and machine learning techniques, including hypothesis testing and predictive modeling. You’ll also gain an understanding of package development, data preprocessing, SQL for relational databases, Git for data science projects, and more. Complete this track to gain the knowledge and experience necessary to confidently pass the Data Scientist in Python certification and thrive as a data scientist.

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1
Intermediate Importing Data in Python

Improve your Python data importing skills and learn to work with web and API data.

2 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist

2
Preprocessing for Machine Learning in Python

Learn how to clean and prepare your data for machine learning!

4 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

3
Developing Python Packages

Learn to create your own Python packages to make your code easier to use and share with others.

4 hours

James Fulton Headshot

James Fulton

Climate Informatics Researcher

4
Machine Learning for Business

Understand the fundamentals of Machine Learning and how it's applied in the business world.

2 hours

Karolis Urbonas Headshot

Karolis Urbonas

Head of Machine Learning and Science

5
Introduction to SQL

Learn how to create and query relational databases using SQL in just two hours.

2 hours

Izzy Weber Headshot

Izzy Weber

Data Coach at iO-Sphere

6
Intermediate SQL

Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!

4 hours

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer, DataCamp

7
Analyzing Students' Mental Health

Use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health.

2 hours

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer, DataCamp

8
Joining Data in SQL

Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

4 hours

Maham Khan Headshot

Maham Khan

Senior Data Scientist, YouView TV

9
When Was the Golden Era of Video Games?

Use SQL to figure out the golden era of video games!

2 hours

Izzy Weber Headshot

Izzy Weber

Data Coach at iO-Sphere

10
Introduction to Git

Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

4 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

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Prerequisites

  • Associate Data Scientist

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