Introduction to Python
About this course
Your Python data analysis mastery journey begins here. Grow your scientific computing knowledge with NumPy.
4 hours
Go to coursePython is one of the most popular programming languages in the world, used by companies like Intel, NASA, Netflix, Spotify, and IBM. It’s versatile, easy to read, and used for everything from web development to machine learning.
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Ready to start your Python journey? In this track, you’ll learn the basics including how to clean data so it's ready for analysis, get started with data visualization libraries, and start writing your own Python functions.
Your Python data analysis mastery journey begins here. Grow your scientific computing knowledge with NumPy.
4 hours
Go to courseGet to know new data structures in Python. Learn how to use DataFrame and Matplotlib's functions.
4 hours
Go to courseWrite your own functions in Python. Grow your knowledge about concepts like scoping and error handling.
3 hours
Go to courseContinue your journey into functions in Python. Learn all about iterators and list comprehensions.
4 hours
Go to courseGain your Python career programming skills here where you cover the fundamentals of software development in python, data wrangling, and advanced data analysis with Python.
Begin your journey into data science with Python. Learn to analyze and visualize your data.
4 hours
Go to courseGet to know different data types. Leverage Python to solve your data problems.
4 hours
Go to courseGrow your Python skills by exploring Pandas. Learn to manipulate data and calculate summary statistics.
4 hours
Go to courseWrite your own functions in Python. Grow your knowledge about concepts like scoping and error handling.
3 hours
Go to courseContinue your journey into functions in Python. Learn all about iterators and list comprehensions.
4 hours
Go to courseWrite more more effective and efficient code using Python's in-built features.
4 hours
Go to courseContinue your Python data analysis journey. Discover how to work with dates and times in your data.
4 hours
Go to courseWork with movie reviews datasets and become an expert in using regular expressions.
4 hours
Go to courseRetrieve and parse information from the internet. Discover the Python library scrapy.
4 hours
Go to courseExpand you your journey into functions in Python. Write maintainable, reusable, and complex functions.
4 hours
Go to courseAutomate repetitive tasks and run programs on clusters and clouds with Unix.
4 hours
Go to courseSolve your data science problems. Discover modularity, documentation, and automated testing.
4 hours
Go to courseCreate your own Python package. Use setuptools and twine to publish your packages to PyPI.
4 hours
Go to courseStart your journey into unit testing. Write your own write unit tests in Python.
4 hours
Go to courseCreate classes in Python. Leverage principles to reuse and optimize code.
4 hours
Go to courseThis collection of courses will take you from zero to hero providing you with the Python skills needed for your new career as a data scientist. Learn skills such as importing, cleaning, manipulation, and visualizing data. Everything you need to become a data professional.
Your Python data analysis mastery journey begins here. Grow your scientific computing knowledge with NumPy.
4 hours
Go to courseGet to know new data structures in Python. Learn how to use DataFrame and Matplotlib's functions.
4 hours
Go to courseBuild your data science portfolio. Use everything you have learned in Python to visualize Netflix data.
2 hours
Go to courseGrow your Python skills by exploring Pandas. Learn to manipulate data and calculate summary statistics.
4 hours
Go to courseUse Python to load, clean, and scrape data. Practice using Google Play Store data to visualize market insights.
2 hours
Go to courseLearn to handle multiple DataFrames with Fandas. Combine, organize, join, and reshape data from the City Of Chicago.
4 hours
Go to courseGet to know the history of Scala projects. Learn how to identify who made changes and what changes they made.
2 hours
Go to courseYour Matplotlib journey begins here. Learn how to visualize data from a variety of sources.
4 hours
Go to courseYour journey into Seaborn starts here. Learn how to create and customize visualizations in Python.
4 hours
Go to courseWrite your own functions in Python. Grow your knowledge about concepts like scoping and error handling.
3 hours
Go to courseContinue your journey into functions in Python. Learn all about iterators and list comprehensions.
4 hours
Go to courseContinue your Seaborn journey. Learn to customize your plots to your data sets to create meaningful visualizations.
4 hours
Go to courseUse Kaggle to examine a dataset of previous Nobel Prize Nominees. Learn how to visualize historical datasets.
2 hours
Go to courseStart your journey into data importing in Python. Learn to import from Excel, SQL, SAS, and the web.
3 hours
Go to courseDevelop your ability to import data in Python. Work with web and API data in Python.
2 hours
Go to courseGet the most out of your analysis by cleaning your data. Understand how to handle missing data or improper data types.
4 hours
Go to courseContinue your Python data analysis journey. Discover how to work with dates and times in your data.
4 hours
Go to courseExpand you your journey into functions in Python. Write maintainable, reusable, and complex functions.
4 hours
Go to courseGrow your data analysis skills. Use regression models to make predictions in Python.
4 hours
Go to courseWork with Pandas to import, clean, shape, and visualize data from the Stanford Open Policing Project.
4 hours
Go to courseStart thinking statistically in Python. Learn to better understand your data and its features.
3 hours
Go to courseYour path to statistical thinking continues here. Learn how to perform parameter estimation and hypothesis testing.
4 hours
Go to coursePractice your data analysis skills while using historical data to understand the effect of handwashing.
2 hours
Go to courseBuild and tune predictive models. Discover supervised learning in Python.
4 hours
Go to coursePractice predicting outcomes using credit card applications. Build and test your own machine learning model.
2 hours
Go to courseContinue your journey in using Python for analysis. Extract insights from unlabeled datasets using scikit-learn and scipy.
4 hours
Go to courseDiscover machine learning with Python. Create your own train decision trees and models with scikit-learn.
5 hours
Go to coursePractice machine learning in Python. Build a baseline model using school budget data.
4 hours
Go to courseStart your journey into unsupervised learning with the SciPy library. Use various clustering algorithms on your data.
4 hours
Go to courseIf you're new to Python, make sure you start here with our most popular track for beginners.
Python is one of the most versatile programming languages in the world. Its widespread use across many industries means it is in very high demand, making it a valuable language to learn for your career.
Professionals and hobbyists alike use Python for data analysis, machine learning, web development, and much more. With Python, you can build almost anything.
Python is considered to be one of the easiest programming languages for beginners; compared to other languages Python is one of the easiest to read. What’s more, its simple programming syntax makes it a great language to learn for those without prior coding experience, which is why Python is one of the most widely used programming languages.
With an introductory Python course, you can learn some of the basic concepts of Python in around 4 hours. Comparatively, a comprehensive skill track can teach you to effectively code using Python in roughly 60 hours.
Of course, how easy or difficult you find it to learn Python depends on many factors. As a total beginner, you may need to take your time developing a solid foundation in Python, while if you already know a programming language, you may pick it up with relative ease.
Python is definitely worth learning; it’s a versatile and highly useful programming language. According to the TIOBE index, it’s also the most popular programming language worldwide, meaning it can open you up to endless career possibilities and increase your earning potential. In addition, Python’s versatility allows you to apply your skills to almost any industry.
Python is a great addition to your skill set if you want to become a software engineer, data scientist, or data analyst. If you’re interested in machine learning, web development, data visualization, or game development, Python can be a great addition to help you excel in your career or build an interesting new hobby.
A Python developer can expect to command a salary averaging $96,520, according to data from Payscale. Similarly, Python and associated skills (such as machine learning) are often cited as some of the most in-demand tech skills in the world.
Taking your first Python course is just the beginning of a journey towards understanding and using Python in your professional life. If you’re serious about launching a career with Python or changing your career path, you can take one of our Tracks, which are designed to provide in-depth learning and ensure that you’re ready to apply your Python skills in the world of work.
Once you feel ready, demonstrate your Python skills in our assessments that build towards professional certification as a data scientist or a data analyst. These certifications are based on an in-depth analysis of the skills required within today’s jobs market and are purposefully designed to test and demonstrate that you’re ready for a demanding job in the industry.
DataCamp's interactive and hands-on learning method features engaging tutorials, bite-sized challenges, and practical projects. After you choose a course, you'll find a collection of well-categorized topics and subtopics. You can decide where to start based on your interests or follow our recommendation.
In each learning session, an instructor explains a concept and the code snippet you'll be using. Next, you'll put this code through its paces in DataCamp's dedicated coding platform.
Learn coding and data science with Python in a fun way and you'll never get bored. All you need is an internet connection, a browser, and a thirst for knowledge.
DataCamp is home to a huge collection of Python resources to support you on your learning path and throughout your career. These include:
So whether you’re mastering the basics of importing data or wrapping your head around advanced NLP tasks in Python, we’ve got what you need to make learning simple.
Benchmark your skills against your Python peers. Determine your Python strengths and weaknesses, whilst receiving personalized python learning recommendations. Take a 10-minute skill assessment today.
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