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Introduction to Data Science w/ Python 🖥️📊

SAT Score Range

16 sessions

+13

This series was cancelled by the tutor on July 17, 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. 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸 🌸

Schedule

✋ 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

1

May

SESSION 1

Python

Python

Wed 5:00 AM - 6:15 AM UTCMay 1, 5:00 AM - 6:15 AM UTC

Intro session, orientation
SESSION 2

5

May

SESSION 2

Python

Python

Sun 5:00 AM - 6:15 AM UTCMay 5, 5:00 AM - 6:15 AM UTC

Python fundamentals (data types, lists, loops, conditions)
SESSION 3

8

May

SESSION 3

Python

Python

Wed 5:00 AM - 6:15 AM UTCMay 8, 5:00 AM - 6:15 AM UTC

Python fundamentals (dictionaries, functions, oop, basic data analysis)
SESSION 4

11

May

SESSION 4

Python

Python

Sat 5:00 AM - 6:15 AM UTCMay 11, 5:00 AM - 6:15 AM UTC

Data analysis using python’s numpy (basics & boolean index)
SESSION 5

15

May

SESSION 5

Python

Python

Wed 5:00 AM - 7:00 AM UTCMay 15, 5:00 AM - 7:00 AM UTC

Data analysis using python’s pandas (basics, analysis, clean)
SESSION 6

19

May

SESSION 6

Python

Python

Sun 5:15 AM - 7:15 AM UTCMay 19, 5:15 AM - 7:15 AM UTC

Data graphs with python’s matplotlib
SESSION 7

22

May

SESSION 7

Python

Python

Wed 5:15 AM - 7:15 AM UTCMay 22, 5:15 AM - 7:15 AM UTC

Data graphs with pythons plotly
SESSION 8

26

May

SESSION 8

Python

Python

Sun 5:15 AM - 7:15 AM UTCMay 26, 5:15 AM - 7:15 AM UTC

Data cleaning practice part 1
SESSION 9

6

Jun

SESSION 9

Python

Python

Thu 5:00 AM - 7:00 AM UTCJun 6, 5:00 AM - 7:00 AM UTC

Data cleaning practice part 2
SESSION 10

9

Jun

SESSION 10

Python

Python

Sun 5:30 AM - 7:30 AM UTCJun 9, 5:30 AM - 7:30 AM UTC

Data cleaning practice part 3
SESSION 11

20

Jun

SESSION 11

Python

Python

Thu 5:00 AM - 7:00 AM UTCJun 20, 5:00 AM - 7:00 AM UTC

Real world application of data science

Beginning work on our own individual research projects
SESSION 12

28

Jun

SESSION 12

Python

Python

Fri 5:15 AM - 7:15 AM UTCJun 28, 5:15 AM - 7:15 AM UTC

Data cleaning part 1
SESSION 13

3

Jul

SESSION 13

Python

Python

Wed 5:00 AM - 7:00 AM UTCJul 3, 5:00 AM - 7:00 AM UTC

data cleaning part 2
SESSION 14

6

Jul

SESSION 14

Python

Python

Sat 5:00 AM - 7:00 AM UTCJul 6, 5:00 AM - 7:00 AM UTC

data cleaning part 3
SESSION 15

14

Jul

SESSION 15

Python

Python

Sun 5:00 AM - 7:00 AM UTCJul 14, 5:00 AM - 7:00 AM UTC

Real world application of data science

Beginning work on our own individual research projects
SESSION 16

17

Jul

SESSION 16

Python

Python

Wed 5:00 AM - 7:00 AM UTCJul 17, 5:00 AM - 7:00 AM UTC

Real world application of data science

Beginning work on our own individual research projects

Public Discussion

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May 1 - Jul 17

12 weeks

75 - 120 mins

/ session

SCHEDULE

Wednesdays

5:00AM