DataCamp's Data Scientist with Python Career Track

Gain the career-building Python skills you need to succeed as a data scientist. No prior coding experience required.
In this track, you'll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Through interactive exercises, you'll get hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more. You'll then work with real-world datasets to learn the statistical and machine learning techniques you need to train decision trees and use natural language processing (NLP). Start this track, grow your Python skills, and begin your journey to becoming a confident data scientist.
23 courses | 6 projects | 3 Skill Assessments | 88 hours
Course PowerPoint links

Name		Name	Last commit message	Last commit date
Latest commit History 59 Commits
01-Introduction-To-Python		01-Introduction-To-Python
02-Intermediate-Python		02-Intermediate-Python
03-Project-Netflix-Movies		03-Project-Netflix-Movies
04-Data-Manipulation-with-Pandas		04-Data-Manipulation-with-Pandas
05-Project-Android-App-Market		05-Project-Android-App-Market
06-Joining-Data-with-pandas		06-Joining-Data-with-pandas
07-Project-GitHub-History-of-the-Scala-Language		07-Project-GitHub-History-of-the-Scala-Language
08-Intro-to-Data-Visualization-with-Matplotlib		08-Intro-to-Data-Visualization-with-Matplotlib
09-Intro-to-Data-Visualization-with-Seaborn		09-Intro-to-Data-Visualization-with-Seaborn
10-Python-Data-Science-Toolbox-(Part-1)		10-Python-Data-Science-Toolbox-(Part-1)
11-Python-Data-Science-Toolbox-(Part 2)		11-Python-Data-Science-Toolbox-(Part 2)
12-Intermediate-Data-Visualization-with-Seaborn		12-Intermediate-Data-Visualization-with-Seaborn
13-Project-Nobel-Prize-Winners		13-Project-Nobel-Prize-Winners
15-Introduction-to-Importing-Data-in-Python		15-Introduction-to-Importing-Data-in-Python
16-Intermediate-Importing-Data-in-Python		16-Intermediate-Importing-Data-in-Python
17-Cleaning-Data-in-Python		17-Cleaning-Data-in-Python
README.md		README.md

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