CAREER TRACK

Data Scientist with Python

A Data Scientist combines statistical and machine learning techniques with Python programming to analyze and interpret complex data.

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Python
84 hours
22 Courses
$118,000/year

1

Introduction to Python

Master the basics of data analysis in Python. Expand your skill set by learning scientific computing with numpy.

4 hours

Filip Schouwenaars

Data Science Instructor at DataCamp
2

Intermediate Python for Data Science

Level up your data science skills by creating visualizations using matplotlib and manipulating data frames with Pandas.

4 hours

Filip Schouwenaars

Data Science Instructor at DataCamp
3

Python Data Science Toolbox (Part 1)

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

3 hours Play preview

Hugo Bowne-Anderson

Data Scientist at DataCamp
4

Python Data Science Toolbox (Part 2)

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

4 hours Play preview

Hugo Bowne-Anderson

Data Scientist at DataCamp
5

Importing Data in Python (Part 1)

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

3 hours Play preview

Hugo Bowne-Anderson

Data Scientist at DataCamp
6

Importing Data in Python (Part 2)

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

2 hours Play preview

Hugo Bowne-Anderson

Data Scientist at DataCamp
7

Cleaning Data in Python

This course will equip you with all the skills you need to clean your data in Python.

4 hours Play preview

Daniel Chen

Data Science Consultant at Lander Analytics
8

pandas Foundations

Learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames.

4 hours Play preview

Team Anaconda

Data Science Training
9

Manipulating DataFrames with pandas

You will learn how to tidy, rearrange, and restructure your data using versatile pandas DataFrames.

4 hours Play preview

Team Anaconda

Data Science Training
10

Merging DataFrames with pandas

This course is all about the act of combining, or merging, DataFrames, an essential part your Data Scientist's toolbox.

4 hours Play preview

Team Anaconda

Data Science Training
11

Intro to SQL for Data Science

Master the basics of querying databases with SQL, the world's most popular databasing language.

4 hours

Nick Carchedi

Product Manager at DataCamp
12

Introduction to Databases in Python

In this course, you'll learn the basics of relational databases and how to interact with them.

4 hours Play preview

Jason Myers

Co-Author of Essential SQLAlchemy and Software Engineer
13

Introduction to Data Visualization with Python

Learn more complex data visualization techniques using Matplotlib and Seaborn.

4 hours Play preview

Team Anaconda

Data Science Training
14

Interactive Data Visualization with Bokeh

Learn how to create versatile and interactive data visualizations using Bokeh.

4 hours Play preview

Bryan Van de Ven

Software Engineer at Anaconda and Developer of Bokeh
15

Statistical Thinking in Python (Part 1)

Build the foundation you need to think statistically and to speak the language of your data.

3 hours Play preview

Justin Bois

Lecturer at the California Institute of Technology
16

Statistical Thinking in Python (Part 2)

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

4 hours Play preview

Justin Bois

Lecturer at the California Institute of Technology
17

Joining Data in SQL

Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.

5 hours Play preview

Chester Ismay

Senior Curriculum Lead at DataCamp
18

Supervised Learning with scikit-learn

Learn how to build and tune predictive models and evaluate how well they will perform on unseen data.

4 hours Play preview

Andreas Müller

Core developer of scikit-learn; Lecturer at Columbia University
19

Machine Learning with the Experts: School Budgets

Learn how to build a model to automatically classify items in a school budget.

4 hours Play preview

Peter Bull

Co-founder of DrivenData
20

Unsupervised Learning in Python

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

4 hours Play preview

Benjamin Wilson

Director of Research at lateral.io
21

Deep Learning in Python

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0.

4 hours Play preview

Dan Becker

Data Scientist and contributor to Keras and TensorFlow libraries
22

Network Analysis in Python (Part 1)

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

4 hours Play preview

Eric Ma

Data Carpentry instructor and author of nxviz package
Statement of accomplishment

See all 22 courses

Filip Schouwenaars

Data Science Instructor at DataCamp

Hugo Bowne-Anderson

Data Scientist at DataCamp

Daniel Chen

Data Science Consultant at Lander Analytics

Team Anaconda

Data Science Training

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Data Scientist with Python

Introduction to Python

Intermediate Python for Data Science

Python Data Science Toolbox (Part 1)

Python Data Science Toolbox (Part 2)

Importing Data in Python (Part 1)

Importing Data in Python (Part 2)

Cleaning Data in Python

pandas Foundations

Manipulating DataFrames with pandas

Merging DataFrames with pandas

Intro to SQL for Data Science

Introduction to Databases in Python

Introduction to Data Visualization with Python

Interactive Data Visualization with Bokeh

Statistical Thinking in Python (Part 1)

Statistical Thinking in Python (Part 2)

Joining Data in SQL

Supervised Learning with scikit-learn

Machine Learning with the Experts: School Budgets

Unsupervised Learning in Python

Deep Learning in Python

Network Analysis in Python (Part 1)

Statement of accomplishment

Ready To Learn

If you type... We will search for...

Press enter to see all search results

Courses

Tracks

Instructors

Data Scientist with Python

Introduction to Python

Intermediate Python for Data Science

Python Data Science Toolbox (Part 1)

Python Data Science Toolbox (Part 2)

Importing Data in Python (Part 1)

Importing Data in Python (Part 2)

Cleaning Data in Python

pandas Foundations

Manipulating DataFrames with pandas

Merging DataFrames with pandas

Intro to SQL for Data Science

Introduction to Databases in Python

Introduction to Data Visualization with Python

Interactive Data Visualization with Bokeh

Statistical Thinking in Python (Part 1)

Statistical Thinking in Python (Part 2)

Joining Data in SQL

Supervised Learning with scikit-learn

Machine Learning with the Experts: School Budgets

Unsupervised Learning in Python

Deep Learning in Python

Network Analysis in Python (Part 1)

Statement of accomplishment

Ready To Learn