Data Science with Python

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Data Science with Python

SAT Score Range

•

6 sessions

•

+33

This series ended on April 2, 2023. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

Learn how to store, manipulate, and analyze data with Python! This course is the perfect bridge to Machine Learning and Artificial Intelligence.  No prior programming experience needed at all, but this course will also be fruitful for those who already know Python basics!

This course will be valuable to everyone, even if Computer Science isn't "your thing". You can use this to showcase and analyze the effects of Global Warming, Natural Disasters, Sports Injuries, Music, and so much more!

Tutored by

Sakshini G 🇺🇸

Certified in 6 topics

View Profile

Hello there! My goal is to help others make better use of the technology and programming to drive toward their passions.

Schedule

✋ ATTENDANCE POLICY

If you miss a session, you may not be able to follow along the next one, and you won't get all the benefits from this course. IF YOU NEED TO SKIP A SESSION, PLEASE MESSAGE ME.

You will be withdrawn from the series if you miss a session without giving me prior notice.

SESSION 1

18

Feb

SESSION 1

Orientation

Sat 2:00 PM - 2:30 PM UTCFeb 18, 2:00 PM - 2:30 PM UTC

We'll set up the Anaconda Navigator and Jupyter Notebook in this session. We'll also introduce ourselves and go over what to expect in this series.

SESSION 2

25

Feb

SESSION 2

Computer Science

Sat 1:30 PM - 2:20 PM UTCFeb 25, 1:30 PM - 2:20 PM UTC

Python Basics! We'll learn all the python you need to know to be able to do Data Science with it. Even if you already know Python, I encourage you to come so you can review what you already know.

SESSION 3

4

Mar

SESSION 3

Computer Science

Sat 1:30 PM - 2:30 PM UTCMar 4, 1:30 PM - 2:30 PM UTC

Numpy and Pandas! We will be learning two very important libraries in python.

SESSION 4

11

Mar

SESSION 4

Computer Science

Sat 1:30 PM - 2:30 PM UTCMar 11, 1:30 PM - 2:30 PM UTC

Data Visualization! We'll learn about libraries like matplotlib, Seaborn, Plotly and Cufflinks! We'll also learn how to analyze these graphs and learn something from them.

SESSION 5

18

Mar

SESSION 5

Computer Science

Sat 12:30 PM - 1:10 PM UTCMar 18, 12:30 PM - 1:10 PM UTC

CAPSTONE PROJECTS!!!
By the end of this course, you will be able to complete a dataset analysis project on your own, and you will even be able to choose your own dataset!

SESSION 6

2

Apr

SESSION 6

Computer Science

Sun 6:00 PM - 7:15 PM UTCApr 2, 6:00 PM - 7:15 PM UTC

We will be performing Data Exploration on a dataset of your choice, from start to finish!

Public Discussion

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Feb 18 - Apr 2

7 weeks

30 - 75 mins

/ session

SCHEDULE

Saturdays

1:30PM