Track
Grow your data skills, discover how to manipulate and visualize data, and apply advanced analytics to make data-driven decisions.
Loved by learners at thousands of companies
Make progress on the go with our mobile courses and daily 5-minute coding challenges.
Industry recognized certifications help you stand out and prove your skills. Prepare for certification by completing this track.
Included with PremiumCourse
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
Course
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Project
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.
Course
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Course
Learn to combine data from multiple tables by joining data together using pandas.
Learn to combine data from multiple tables by joining data together using pandas.
Python Data Fundamentals
Track
Complete
Data Scientist
Industry recognized certifications help you stand out and prove your skills. Prepare for certification by completing this track.
Included with PremiumYes! This Track is suitable for absolute beginners. It starts with an Introduction to Python course, giving you the foundation necessary to move onto the Intermediate Python and Data Science Toolbox courses later.
This track is programmed in the language of Python.
This Track will benefit anyone looking to use Python in a data science context. Examples of such roles include Data Analyst, Data Scientist, Data Engineer or Research Scientist.
By completing this Track, you'll gain foundational knowledge in essential Python programming principles and techniques used in data science. This track will also give you experience working with different data types, such as strings and lists, developing data visualizations and using libraries like NumPy and Matplotlib.
This Track takes approximately 15 hours to complete - depending on the time that you dedicate to it.
A skill track focuses on acquiring a specific set of skills, such as those in the Python Fundamentals Track. A career track, on the other hand, guides learners through a professional trajectory meant to get them ready for a job, with courses and simulations.
Once you've completed all the courses and have gained the skills included in this Track, you will be able to print or share the certificate for this Track.
DataCamp offers support through our Community Tab. Here, students have access to a range of resources such as forum posts about common queries and access to our Support team who can answer questions in real-time.
The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track
DataCamp helped me transition from someone curious about data to someone actively applying these skills in my job
I've been using DataCamp for four years, and it's helped me transition from filling gaps in my skills to proactively creating value for my company
