Introduction to Python for Data Analysis
SAT Score Range
•
5 sessions
•
RS
SK
FA
+5
About
In this course, you will learn the fundamentals of how to use Python to analyze datasets and create visualizations. We will go over how to acquire and load data into a Python file, process and clean data, and gain insight into important trends in the data. We will also go over how to use all of these skills to make graphs and visualizations. Throughout this course, you will also learn the basics of Python libraries that are crucial for data analysis such as Pandas, Numpy, and Matplotlib.
Note: some prior knowledge of Python syntax is expected.
Tutored by
✋ ATTENDANCE POLICY
Since this is already a short course, please try to attend every session! Your attendance is extremely important. If you cannot make a session, please notify me using the excused absence button and I can send you the information that we have covered.
SESSION 4
14
Aug
SESSION 4
Python
Python
Thu 12:00 AM - 1:00 AM UTCAug 14, 12:00 AM - 1:00 AM UTC
You will learn about Matplotlib and Seaborn. By the end of the session you will be able to use these libraries to create visualizations of your data.
SESSION 5
21
Aug
SESSION 5
Python
Python
Thu 12:00 AM - 1:00 AM UTCAug 21, 12:00 AM - 1:00 AM UTC
You will wrap up data analysis on your dataset and take a couple minutes to share what functions you used, the data you analyzed, any trends observed, and the visualizations you were able to gain from it.