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Computer Science • Series

Introduction to Data Science w/ Python 🖥️📊

Starts in 7 days!

Jacob H and Shruti M

Series Details

Sessions

Public Discussion

Series Details

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! :)

✋ 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.

Dates

November 30 - February 1

Learners

16 / 20

Total Sessions

17

About the Tutors

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. 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸

View Jacob H's Profile

Hey! 👋 I'm a passionate high school tutor who has joined this amazing platform to provide tutoring services to anybody looking for help with Math, Computer Science, and English! If you're looking for help, feel free to shoot me a message and I'll get back to you!

View Shruti M's Profile

Upcoming Sessions

17
30
Nov

Session 1

Python

Introduction to the Series
(Ice-breakers, logistics, software setups…)
4
Dec

Session 2

Python

Module: Python Fundamentals
(Data types, python lists, conditionals, loops)
7
Dec

Session 3

Python

Module: Python Fundamentals
(Python dictionaries, functions, object oriented programming, basic data analysis)
11
Dec

Session 4

Python

Module: Numpy and Pandas
(Introduction to numpy, understanding vectorization, numpy arrays, array slicing, vector mathematics, boolean indexing)
14
Dec

Session 5

Python

Module: Numpy and Pandas
(Introduction to pandas, understanding data cleaning, boolean indexing with pandas, different python methods, memorizing pandas, data exploration with pandas)
18
Dec

Session 6

Python

Module: Data Visualization
(Introduction to visualizing data, introduction to matplotlib, understanding different types of graphs, graphing using matplotlib, aesthetic graphs, storytelling with our graphs)
21
Dec

Session 7

Python

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)
28
Dec

Session 8

Python

Module: Data Cleaning
(Understanding purposeful data cleaning, understanding backend, the process of data cleaning, advanced pandas techniques, working with missing or duplicate data)
4
Jan

Session 9

Python

Module: Data Cleaning
(The process of data cleaning, more advanced pandas techniques, analyzing collected data, data science projects)
8
Jan

Session 10

Python

Module: Data Cleaning
(The process of data cleaning, more advanced pandas techniques, analyzing collected data, data science projects)
11
Jan

Session 11

Python

Module: Miscellaneous Topics Ep
(Regular expressions, list comprehension, lambda functions, missing or irregular datasets, more on pandas functions, application to data science projects)
15
Jan

Session 12

Python

Final Project Day #1
18
Jan

Session 13

Python

Final Project Day #2
22
Jan

Session 14

Python

Final Project Day #3
25
Jan

Session 15

Python

Final Project Day #4
29
Jan

Session 16

Python

Final Project Day #5
1
Feb

Session 17

Python

Final Session
(Sharing our case studies, what’s next in your data science journey, knowledge quiz on kahoot, next course preparation)

Public Discussion

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