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Learn Python Programming

Python 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. 

Become one of the millions of people who understand and read Python and expand your career prospects today. You don’t need any prior coding experience and will benefit from a huge number of libraries and packages for applying Python to different data problems.

Learning Python with DataCamp means that you can study at your own pace and start creating your own Python portfolio. You'll build your skills and confidence using active learning techniques, teaching you how to use Python for problem solving and in practical exercises. 

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Most Popular Python Learning Pathways

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.

1

Introduction to Python

About this course

Your Python data analysis mastery journey begins here. Grow your scientific computing knowledge with NumPy.

4 hours

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2

Intermediate Python

About this course

Get to know new data structures in Python. Learn how to use DataFrame and Matplotlib's functions.

3

Python Data Science Toolbox (Part 1)

About this course

Write your own functions in Python. Grow your knowledge about concepts like scoping and error handling.

4

Python Data Science Toolbox (Part 2)

About this course

Continue your journey into functions in Python. Learn all about iterators and list comprehensions.

Python Fundamentals Skills Track

Gain your Python career programming skills here where you cover the fundamentals of software development in python, data wrangling, and advanced data analysis with Python.

1

Introduction to Data Science in Python

About this course

Begin your journey into data science with Python. Learn to analyze and visualize your data.

2

Data Types for Data Science in Python

About this course

Get to know different data types. Leverage Python to solve your data problems.

3

Data Manipulation with pandas

About this course

Grow your Python skills by exploring Pandas. Learn to manipulate data and calculate summary statistics.

4

Python Data Science Toolbox (Part 1)

About this course

Write your own functions in Python. Grow your knowledge about concepts like scoping and error handling.

5

Python Data Science Toolbox (Part 2)

About this course

Continue your journey into functions in Python. Learn all about iterators and list comprehensions.

6

Writing Efficient Python Code

About this course

Write more more effective and efficient code using Python's in-built features.

7

Working with Dates and Times in Python

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Continue your Python data analysis journey. Discover how to work with dates and times in your data.

8

Regular Expressions in Python

About this course

Work with movie reviews datasets and become an expert in using regular expressions.

9

Web Scraping in Python

About this course

Retrieve and parse information from the internet. Discover the Python library scrapy.

10

Writing Functions in Python

About this course

Expand you your journey into functions in Python. Write maintainable, reusable, and complex functions.

Python Programmer Skill Track

This 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.

1

Introduction to Python

About this course

Your Python data analysis mastery journey begins here. Grow your scientific computing knowledge with NumPy.

2

Intermediate Python

About this course

Get to know new data structures in Python. Learn how to use DataFrame and Matplotlib's functions.

3

Investigating Netflix Movies and Guest Stars in The Office

About this course

Build your data science portfolio. Use everything you have learned in Python to visualize Netflix data.

4

Data Manipulation with pandas

About this course

Grow your Python skills by exploring Pandas. Learn to manipulate data and calculate summary statistics.

5

The Android App Market on Google Play

About this course

Use Python to load, clean, and scrape data. Practice using Google Play Store data to visualize market insights.

6

Joining Data with pandas

About this course

Learn to handle multiple DataFrames with Fandas. Combine, organize, join, and reshape data from the City Of Chicago.

7

The GitHub History of the Scala Language

About this course

Get to know the history of Scala projects. Learn how to identify who made changes and what changes they made.

8

Introduction to Data Visualization with Matplotlib

About this course

Your Matplotlib journey begins here. Learn how to visualize data from a variety of sources.

9

Introduction to Data Visualization with Seaborn

About this course

Your journey into Seaborn starts here. Learn how to create and customize visualizations in Python.

10

Python Data Science Toolbox (Part 1)

About this course

Write your own functions in Python. Grow your knowledge about concepts like scoping and error handling.

Data Scientist with Python Career Track

Most Popular Python Resources

Top Python Tutorials

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If you're new to Python, make sure you start here with our most popular track for beginners.

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Why Learn Python?

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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.

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Is Python Easy to Learn?

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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.

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Don’t just take our word for it.

DataCamp Certification

Can I Get a Python Certification?

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. 

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A Practical Python Learning Method with Tutorials, Assessments and Projects

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.

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All the Python Resources You Need

DataCamp is home to a huge collection of Python resources to support you on your learning path and throughout your career. These include: 

  • Python guides and cheat sheets
  • Python Assessments in DataCamp Signal™ so you know how well you’re progressing
  • A range of templates to give you a head start on your Python projects
  • Practice sessions to reinforce your learning
  • Projects where you’ll use Python to solve real-world problems 
  • Coding and data analysis competitions with cash prizes
  • Webinars and live training sessions
  • Python templates and Workspaces 

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.

Python Cheat Sheets

Test Your Python Skills with DataCamp Signal

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.

PythonImporting & Cleaning Data with Python
RPython Programming
TheoryData Manipulation with Python
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Python certified Data Scientist

 

 

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From a certification in Python to personalized resume reviews and interview prep - we've got you covered.

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Python certified Data Scientist

Your Python Instructors

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Karolis Urbonas

Karolis leads a Machine Learning and Science team at AWS.  See full Bio

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Learn Python FAQs

Why learn Python?

Python is easy to learn, versatile, and developers are always in demand.  Much of Python uses English words as commands, increasing its readability and interpretation. 

How can I start learning Python?

You can get started with an online Python course. Python is a great coding language to learn online with a myriad of resources at your fingertips. Websites like DataCamp offer courses and tutorials ranging from beginners level all the way up to people looking to become career data scientists.

How long does it take to learn Python?

A rudimentary working knowledge of Python can be learned in as little as a week, but it will take 12 to 48 months to become a proficient data scientist. The great thing about learning Python at DataCamp is that you can go at your own pace, easy-going or accelerated.  Want to learn at 10 times the rate that courses are scheduled at university? That’s absolutely possible.

How hard is Python to learn?

Python is one of the easiest coding languages to learn. Python is powerful, has easy-to-use syntax, and is a general coding language used in everything from web development to software prototypes. This makes the concepts easier to grasp, and thus it is a great choice for beginners looking to learn to code.

How can I learn Python quickly?

To learn Python quickly, you will have to practice. You can start coding almost as soon as you’ve learned the basics of Python, and the best way to advance is to just keep going. Learn a Python library or two, schedule a time every day to code, and stick to it. You have to invest the time: if you plan to be a Python master in three months, you must be prepared for hours of deep, immersive training. The great thing about learning online is you can go at your own pace and, if that pace is lightspeed, online is the best option.

How long will it take to learn enough Python to get a job?

It depends on what job you are looking to get. Python is a versatile coding language and can be used in everything from organization in retail to data analysis by data scientists. To improve efficiency or organization, simple python can be learned in three weeks. However, if you wish to get a job as a data scientist or an equivalent level, DataCamp has 6-9 month courses that will kickstart your employment goals.

Where can I learn Python for free?

You can start learning Python for free with DataCamp, as our 6 most popular beginner courses are free of charge.  After that?  DataCamp has one of the most affordable subscription models, and this small fee ensures you receive quality training that will leave you work-ready.

Why is Python easy to learn?

Python is considered one of the easiest coding languages to learn because it prioritizes readability. Much of Python's syntax is similar to the English language and is thus easy to pick up - making it a favorite with novice coders.

Why should I learn Python first?

Python is the fastest-growing coding language with massive versatility and high job demand. Its simple to master syntax is a great introduction to coding and data science.  Python is used in many industries and will open many doors for you, both in the tech world and out. DataCamp has plenty of Python beginner courses to get you started.

Can I learn Python on my own?

Python can be learned quite easily on your own. DataCamp has countless courses, tutorials, projects, cheatsheets, and assessment tasks at all levels to help you answer any question you might have.

Ready to Learn Python?

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