Data Scientist in Python

Certification available

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

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

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Track Description

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.

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
42
Introduction to SQL
Learn how to create and query relational databases using SQL in just two hours.
Course
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!