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Data Analyst with Python

4.7+
27 reviews

Start your journey to becoming a data analyst using Python - one of the most popular programming languages in the world. No prior coding experience is required; you’ll start from scratch and learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher.  You’ll begin your data analyst training with interactive exercises and get hands-on with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and many more. You’ll learn why Python for data analysis is so popular and work with real-world datasets to grow your data manipulation and exploratory data analysis skills.  As you progress through the courses, you’ll cover topics such as data manipulation and joining data. You’ll also learn key statistics skills, like hypothesis testing.  Get started today, grow your Python skills, and begin your journey to becoming a confident data analyst.

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1
Python
Introduction to Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

4 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist

2
Python
Intermediate Python

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

4 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist

3
Python
Investigating Netflix Movies

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.

2 hours

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer, DataCamp

4
Python
Data Manipulation with pandas

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

4 hours

Maggie Matsui Headshot

Maggie Matsui

Curriculum Manager at DataCamp

5
Python
Exploring NYC Public School Test Result Scores

Use data manipulation and summary statistics to analyze test scores across New York City's public schools!

2 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

6
Python
Joining Data with pandas

Learn to combine data from multiple tables by joining data together using pandas.

4 hours

Aaren Stubberfield Headshot

Aaren Stubberfield

Senior Data Scientist @ Microsoft

7
Python
Introduction to Statistics in Python

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

4 hours

Maggie Matsui Headshot

Maggie Matsui

Curriculum Manager at DataCamp

8
Python
Introduction to Data Visualization with Seaborn

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

4 hours

DataCamp Content Creator

Course Instructor

9
Python
Visualizing the History of Nobel Prize Winners

Explore a dataset containing a century's worth of Nobel Laureates. Who won? Who got snubbed?

2 hours

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer, DataCamp

10
Python
Data Manipulation with Python
11
Python
Importing & Cleaning Data with Python
12
Python
Exploratory Data Analysis in Python

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

4 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

13
Python
Analyzing Crime in Los Angeles

Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.

2 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

14
Python
Sampling in Python

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

4 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

15
Python
Hypothesis Testing in Python

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

4 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

16
Python
Hypothesis Testing with Men's and Women's Soccer Matches

Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!

2 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

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Instructors

  • Hugo Bowne-Anderson Headshot
    Hugo Bowne-AndersonData ScientistSee Hugo Bowne-Anderson's Portfolio
  • Jasmin Ludolf Headshot
    Jasmin LudolfData Science Content Developer, DataCampSee Jasmin Ludolf's Portfolio
  • Maggie Matsui Headshot
    Maggie MatsuiCurriculum Manager at DataCampSee Maggie Matsui's Portfolio
  • Richie Cotton Headshot
    Richie CottonData Evangelist at DataCampSee Richie Cotton's Portfolio

Don’t just take our word for it

*4.7
from 27 reviews
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  • Collins O.
    4 months

    I liked the foundational structure it gives a beginner. I would recommend it to anyone starting their data analyst journey

  • Jaime G.
    4 months

    It was a great experience. I learned many important things in this new field. I will do SQL Career in the next weeks. Satisfied with this program.

  • Martyn D.
    5 months

    highly recommend datacamp for beginners. Great classes, explanations of solid concepts. Very few bugs.

  • Mehmet B.
    7 months

    It was awesome 😎

  • Ruben N.
    7 months

    Excellent material taught in a very professional manner.

"I liked the foundational structure it gives a beginner. I would recommend it to anyone starting their data analyst journey"

Collins O.

"It was a great experience. I learned many important things in this new field. I will do SQL Career in the next weeks. Satisfied with this program."

Jaime G.

"highly recommend datacamp for beginners. Great classes, explanations of solid concepts. Very few bugs."

Martyn D.

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