4 Essential Python Projects for Beginners in Data Science

Special thanks to Sarah El Shatby who wrote the script for this video.

If you already have some basic Python experience and want to take it to the next level, in this video you’ll discover 4 interesting Python projects for beginners – all including code for practice!

To access the project data and code, please visit our website and download the respective files:

365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.

We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.

#python #datascience #codingprojects #beginnerfriendly #learntocode

[vFreeNz]

Youtube algorithm adivsed me this exacly when i was thinking of project for myself to learn Data Science. Nice job, youtube, nice job!

[sarahshatby]

I'm so thrilled that my first article on 365 Data Science is now a video!

[JoeZoll]

The Uber suggestion was super helpful for a beginner like me. Thank you!

[michelemoneywell]

The coupon in your description for $184.50 for full access for a year (41 courses currently) to 365 ¥DataScience is an incredible deal. Are the contents of each course the same as the
365 ¥DataScience Udemy course? Thank you for the free project links.

[newyork]

Why does the last plot of the uber eats project have hour and density of rides along the axes labels when you are plotting latitude and longitude for the x and y variables in the scatter plot? Seems like y'all intended to to a geographical map plot?

[alimamulmasum]

Do you have projects for beginner Data analysts?

[manojbhaskar]

A great institute, I've already joined in your course. But please give me a clear, is data science a good field in recession? Can data analyst or data scientist survive recession? If they can in which domain should I focus on..?