CAREER TRACK

Data Analyst with Python

A Data Analyst uses data visualization and manipulation techniques to uncover insights and help organizations make better decisions.

Join

Python
60 hours
16 Courses
$62,000/year

1

Introduction to Data Science in Python

Dive into data science using Python and learn how to effectively analyze and visualize your data.

4 hours Play preview

Hillary Green-Lerman

Senior Curriculum Lead, 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

Intro to SQL for Data Science

Master the basics of querying tables in relational databases such as MySQL, Oracle, SQL Server, and PostgreSQL.

4 hours

Nick Carchedi

Product Manager at DataCamp
5

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

Head of Content Development (Belgium) at DataCamp
6

Introduction to Relational Databases in SQL

Learn how to create one of the most efficient ways of storing data - relational databases!

4 hours

Timo Grossenbacher

Data Journalist at SRF Data
7

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
8

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
9

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
10

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
11

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
12

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
13

Analyzing Police Activity with pandas

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

4 hours Play preview

Kevin Markham

Founder of Data School
14

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
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
Statement of accomplishment

See all 16 courses

Hillary Green-Lerman

Senior Curriculum Lead, DataCamp

Filip Schouwenaars

Data Science Instructor at DataCamp

Hugo Bowne-Anderson

Data Scientist at DataCamp

Nick Carchedi

Product Manager at DataCamp

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Data Analyst with Python

Introduction to Data Science in Python

Intermediate Python for Data Science

Python Data Science Toolbox (Part 1)

Intro to SQL for Data Science

Joining Data in SQL

Introduction to Relational Databases in SQL

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

Analyzing Police Activity with pandas

Introduction to Data Visualization with Python

Statistical Thinking in Python (Part 1)

Statistical Thinking in Python (Part 2)

Statement of accomplishment

Ready To Learn

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Data Analyst with Python

Introduction to Data Science in Python

Intermediate Python for Data Science

Python Data Science Toolbox (Part 1)

Intro to SQL for Data Science

Joining Data in SQL

Introduction to Relational Databases in SQL

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

Analyzing Police Activity with pandas

Introduction to Data Visualization with Python

Statistical Thinking in Python (Part 1)

Statistical Thinking in Python (Part 2)

Statement of accomplishment

Ready To Learn