Learn Python with DataCamp

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.

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.

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.

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.

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.

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.

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.

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.

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.

The best way to learn Python is online. Online courses like the ones at DataCamp allow freedom, flexibility, and a range of levels that you can access at your own pace. Whether you’re looking for a fun side hobby or a serious career change, online courses are a great way to really cement and advance your knowledge.

Learn the R programming language and other concepts of data science. Furthermore, if you want to become a data scientist, it is important to remember that there is much more to data science than just programming languages: you'll also need an in-depth understanding of statistics, matrices, algebra, and a little bit of calculus. 

A computer and access to the internet are all you need to gain access to all the great resources DataCamp has to help you learn Python. Python is considered great for beginners because it is one of the easier coding languages to grasp. 

Python is a high-level, general use programming language that can be applied to many different scenarios. Python comes with a large library that includes string processing, internet protocols, software engineering, and operating system interfaces which allows for a lot of flexibility in its use. Because of this, Python is used in everyday scenarios from organization and planning at a basic level, to the advanced Python used by data scientists and web developers.