First, you should look for the best Python programming education for you. Dataquest's courses are designed specifically for you to learn Python for data science at your own pace, requiring you to write actual code and use real data in our interactive, in-browser interface.
Aside from learning Python in a classroom, your road to becoming a data scientist should include soft skills as well. Along the way, we recommend that you learn some complementing technical skills.
Step 1: Learn Python Fundamentals
Everyone has to start somewhere. This is the first step in which you will learn the fundamentals of Python programming. You'll also need a crash course in data science.
Jupyter Notebook, which comes preconfigured with Python modules to help you master these two concepts, is a key tool you should start utilizing early in your journey.
Joining a community can put you in contact with people who share your interests and will boost your chances of finding work. Employee referrals account for 30% of all hires, according to the Society for Human Resource Management.
Create a Kaggle account, join a local Meetup group, and join Dataquest's learner community with current and alums.
Step 2: Practice Mini Python Projects
We are firm believers in hands-on learning. You might be astonished at how quickly you'll be able to construct simple Python projects. We've already put together a fantastic guide to Python projects for beginners, which includes suggestions such as:
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Tracking and Analyzing Your Personal Amazon.com Spending Habits — A fun project that will help you learn Python and Pandas fundamentals while also providing you with real-world insight into your personal finances.
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Data from a Survey Should Be Analyzed — In this starter project, you'll learn to drill down into replies to extract insights using public survey data or survey data from your own work.
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Try one of our Guided Projects, which are interactive Python projects for all skill levels that use actual data and provide advice while also challenging you to use your skills in new ways.
The Data Science with Python Course assists you in laying a solid basis for your career as a Data Scientist.
But that's only the tip of the iceberg. You can experiment with writing things like calculators for an online game or software that retrieves the weather in your city from Google. You can also create small games and apps to get a feel for working with Python.
Creating tiny projects like this will assist you in learning Python. These kinds of programming tasks are common in many languages and are an excellent way to cement your mastery of the fundamentals.
You should start by gaining API experience and then move on to web scraping. Web scraping will be important for you in acquiring data later on, in addition to helping you understand Python programming.
