Is this Track suitable for beginners?

No, prior knowledge of the DataCamp track Associate Data Scientist in Python is assumed.

What is the programming language of this Track?

This Track uses Python as its programming language.

Which jobs will benefit from this Track?

This Track will prepare users for success in the field of data science and any job that requires data analysis.

How will this Track prepare me for my career?

This Track will provide users with a broad range of areas related to data science, such as data manipulation, visualization, and analysis using popular Python libraries. Additionally, it will give users the knowledge and experience needed to pass the Data Scientist Professional with Python certification.

How long does it take to complete this Track?

This Track typically takes around 116 hours to complete, as it consists of several courses.

What's the difference between a skill track and a career track?

A skill track is focused on acquiring specific data science skills such as Pandas, Machine Learning, Python, and SQL. A career track is more holistic and provides users with the skills and expertise needed to pursue a career in data science.

What topics are covered by this Track?

This Track covers a range of topics related to data science, including data manipulation, visualization, and analysis using popular Python libraries, as well as machine learning, hypothesis testing, predictive modeling, package development, data preprocessing, SQL for relational databases, Git for data science projects, and more.

Does DataCamp offer Data Scientist Certification?

Yes. DataCamp's industry recognized Certifications include the Data Scientist Certifications , designed to equip you with the essential skills and practical knowledge required to excel in the role of a Data Scientist.

Data Scientist in Python

Certification available

4.6+

27 reviews

Updated 03/2026

Learn data science in Python, from data manipulation to machine learning, and gain the skills needed for the Data Scientist in Python certification!

Create Your Free Account

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

Certification Available

Industry recognized certifications help you stand out and prove your skills. Prepare for certification by completing this track.

Included with Premium

Included with PremiumLearn More

Track Description

Data Scientist in Python

Become a Certified Data Scientist in Python

Master the essential skills you need to excel as a data scientist and earn the prestigious Data Scientist in Python certification. This comprehensive Track covers the full spectrum of data science using Python, from data manipulation and visualization to advanced machine learning techniques. Through hands-on exercises and real-world projects, you'll gain the practical experience and knowledge to tackle complex data challenges and drive business impact.

Build a Robust Data Science Toolbox

Explore the Python data science ecosystem in-depth as you learn to:

Manipulate and analyze data using pandas, NumPy, and SciPy
Create compelling visualizations with Matplotlib and Seaborn
Develop and evaluate machine learning models using scikit-learn
Preprocess and feature engineer data for optimal model performance
Work with relational databases using SQL
Manage your data science projects with Git version control

Solve Real-World Data Science Problems

Apply your skills to realistic scenarios that mirror the work of professional data scientists. From exploratory data analysis to predictive modeling, you'll learn to extract valuable insights from complex datasets. Discover how to select the right machine learning algorithms, tune hyperparameters, and interpret results to make data-driven decisions. By working with diverse datasets across industries, you'll develop the versatility to thrive in any data science role.

Prepare for the Data Scientist in Python Certification

This Track is designed to fully prepare you for the Data Scientist in Python certification exam. As you progress through the courses, you'll steadily build the knowledge and practical skills needed to pass the certification with confidence. The interactive exercises and projects provide ample opportunity to test your understanding and get hands-on with the tools and techniques covered in the certification.

Advance Your Data Science Career

Earning the Data Scientist in Python certification validates your expertise to employers and opens doors to exciting career opportunities. Companies across industries are seeking skilled data scientists who can leverage the power of Python to solve complex problems and drive innovation. By completing this Track and obtaining the certification, you'll demonstrate your ability to:

Perform end-to-end data science projects in Python
Select and apply appropriate machine learning algorithms
Communicate data insights effectively to technical and non-technical audiences
Collaborate with cross-functional teams on data-driven initiatives

Whether you're looking to break into data science, advance your current role, or expand your skill set, this Track provides the comprehensive training and industry-recognized certification to help you achieve your goals.

Prerequisites

Associate Data Scientist

Course
38
Intermediate Importing Data in Python
Improve your Python data importing skills and learn to work with web and API data.
Course
39
Preprocessing for Machine Learning in Python
Learn how to clean and prepare your data for machine learning!
Course
40
Developing Python Packages
Learn to create your own Python packages to make your code easier to use and share with others.
Course
41
Machine Learning for Business
Understand the fundamentals of Machine Learning and how it's applied in the business world.
Course
AI Native
42
Introduction to SQL
Learn how to create and query relational databases using SQL in just two hours.
Course
AI Native
43
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!
Project
bonus
Analyzing Students' Mental Health
Use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health.
Course
45
Joining Data in SQL
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
Project
bonus
When Was the Golden Era of Video Games?
Use SQL to figure out the golden era of video games!
Course
47
Introduction to Git
Discover the fundamentals of Git for version control in your software and data projects.
Course
48
Intermediate Git
Discover branches and remote repos for version control in collaborative software and data projects using Git!