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Enrichment • Series

Data Science with Python

Sakshini G

Series Details

Sessions

Public Discussion

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.

Series Details

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!

Tutor Qualifications

- I scored a 5 on the AP CSP exam administered by College Board

- I am certified in Python 3.0 by HackerRank

- I taught a Python course through Codivate

- I have done several Data Science projects in Python

- I also know several other coding languages (Java, JavaScript, HTML, CSS)

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You will be withdrawn from the series if you miss a session without giving me prior notice.

Dates

February 18 - April 2

Learners

36 / 40

Total Sessions

6

About the Tutor

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

View Sakshini G's Profile

Upcoming Sessions

0

Past Sessions

6
18
Feb

Session 1

Orientation

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.
25
Feb

Session 2

Computer Science

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.
4
Mar

Session 3

Computer Science

Numpy and Pandas! We will be learning two very important libraries in python.
11
Mar

Session 4

Computer Science

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.
18
Mar

Session 5

Computer Science

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!
2
Apr

Session 6

Computer Science

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

Public Discussion

Please log in to see discussion on this series.