CAREER TRACK

Data Analyst with Python

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

Python
47 hours
13 Courses
$62,000/year

1

Intro to Python for Data Science

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

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
5

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
6

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
7

pandas Foundations

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

4 hours Play preview

Dhavide Aruliah

Director of Training at Continuum Analytics
8

Manipulating DataFrames with pandas

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

4 hours Play preview

Dhavide Aruliah

Director of Training at Continuum Analytics
9

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

Dhavide Aruliah

Director of Training at Continuum Analytics
10

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
11

Introduction to Data Visualization with Python

Learn more complex data visualization techniques using Matplotlib and Seaborn.

4 hours Play preview

Bryan Van de Ven

Software Engineer at Continuum Analytics and Developer of Bokeh
12

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
13

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 13 courses

Filip Schouwenaars

Data Science Instructor at DataCamp

Hugo Bowne-Anderson

Data Scientist at DataCamp

Daniel Chen

Data Science Consultant at Lander Analytics

Dhavide Aruliah

Director of Training at Continuum Analytics

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Data Analyst with Python

Intro to Python for Data Science

Intermediate Python for Data Science

Python Data Science Toolbox (Part 1)

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

Introduction to Databases in Python

Introduction to Data Visualization with Python

Statistical Thinking in Python (Part 1)

Statistical Thinking in Python (Part 2)

Statement of accomplishment

Ready To Learn