Track
Python Data Fundamentals
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Included with PremiumTrack Description
Python Data Fundamentals
Prerequisites
There are no prerequisites for this trackCourse
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.
Project
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.
Course
Learn to combine data from multiple tables by joining data together using pandas.
Course
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Course
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
Course
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
Project
Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.
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Enroll NowFAQs
Is this Track suitable for beginners?
Yes! 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.
What is the programming language of this Track?
This track is programmed in the language of Python.
Which jobs will benefit from this Track?
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.
How will this Track prepare me for my career?
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.
How long does it take to complete this Track?
This Track takes approximately 15 hours to complete - depending on the time that you dedicate to it.
What's the difference between a skill track and a career track?
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.
When will I receive a certificate for this Track?
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.
What kind of support is available if I get stuck?
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.
Join over 19 million learners and start Python Data Fundamentals today!
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.