Schoolhouse.world: peer tutoring, for free.
Schoolhouse.world: peer tutoring, for free.
Schoolhouse.world: peer tutoring, for free.
Introduction to Data Science w/ Python 🖥️📊

SAT Score Range

•

7 sessions

•

+16

This series was cancelled on December 28, 2024. We're very sorry–you can explore more Computer Science series here. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

Welcome to "Introduction to Data Science with Python" course! This is my second time hosting this course, and I have made adjustments and improvements from my first time. In this course, you'll learn how to use Python for data analysis and gain insights from large datasets. Python is a versatile language widely used in the data science community. You'll explore Python's fundamentals, including syntax and data structures. We'll also cover essential libraries such as NumPy, Pandas, and Matplotlib for efficient data manipulation and visualization. Through hands-on activities and projects, you'll develop the skills to analyze and present data effectively. By the end of this 17 session course, you will be an expert on the basics of data science, and you would have completed your very first data science case study project. Please note that there will be assignments after every session to best learn data science. Get ready for an exciting journey into the world of data science! :)

Tutored by

Jacob H 🇺🇸

Certified in 1 topic

View Profile

ℍ𝕚𝕙𝕚 𝕀'𝕞 𝕁𝕒𝕔𝕠𝕓! ✨ - I am an 20 years old Asian American currently attending Biola University in La Mirada, California. I was born in Charlottesville, Virginia, spent time living in California, and spent majority of my life living in Beijing, China. I can speak both English (🇺🇸) and Mandarin Chinese (🇨🇳). My hobbies include web development, CS related topics, biking, skiing, cooking and design. My favorite animal are rabbits. - I became a tutor on Schoolhouse since September 2021. On Schoolhouse, I plan to tutor and host sessions related to web development, selected topics in computer science, Mandarin Chinese, cooking, advices, selected topics in mathematics, and some other fun topics. 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸

Sessions

✋ ATTENDANCE POLICY

Since the content covered in every session builds up, I highly encourage you to attend every session so you won't fall behind. If you miss more than 3 sessions, you will be removed from the series.

SESSION 1

30

Nov

SESSION 1

Python

Python

Sat 5:30 PM - 6:15 PM UTCNov 30, 5:30 PM - 6:15 PM UTC

Introduction to the Series
(Ice-breakers, logistics, software setups…)
SESSION 2

4

Dec

SESSION 2

Python

Python

Wed 7:30 PM - 9:30 PM UTCDec 4, 7:30 PM - 9:30 PM UTC

Module: Python Fundamentals
(Data types, python lists, conditionals, loops)
SESSION 3

7

Dec

SESSION 3

Python

Python

Sat 5:30 PM - 7:30 PM UTCDec 7, 5:30 PM - 7:30 PM UTC

Module: Python Fundamentals
(Python dictionaries, functions, object oriented programming, basic data analysis)
SESSION 4

11

Dec

SESSION 4

Python

Python

Wed 5:30 PM - 7:30 PM UTCDec 11, 5:30 PM - 7:30 PM UTC

Module: Numpy and Pandas
(Introduction to numpy, understanding vectorization, numpy arrays, array slicing, vector mathematics, boolean indexing)
SESSION 5

14

Dec

SESSION 5

Python

Python

Sat 5:30 PM - 7:30 PM UTCDec 14, 5:30 PM - 7:30 PM UTC

Module: Numpy and Pandas
(Introduction to pandas, understanding data cleaning, boolean indexing with pandas, different python methods, memorizing pandas, data exploration with pandas)
SESSION 6

18

Dec

SESSION 6

Python

Python

Wed 5:30 PM - 7:30 PM UTCDec 18, 5:30 PM - 7:30 PM UTC

Module: Data Visualization
(Introduction to visualizing data, introduction to matplotlib, understanding different types of graphs, graphing using matplotlib, aesthetic graphs, storytelling with our graphs)
SESSION 7

21

Dec

SESSION 7

Python

Python

Sat 5:30 PM - 7:30 PM UTCDec 21, 5:30 PM - 7:30 PM UTC

Module: Data Visualization
(Introduction to plotly and ploty.express, understanding different types of graphs with plotly, graphing using plotly, aesthetic graphs, storytelling with our graphs)

Public Discussion

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Nov 30 - Dec 21

4 weeks

45 - 120 mins

/ session

SCHEDULE

Saturdays

5:30PM

Wednesdays

5:30PM