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Data Science & Machine Learning Bootcamp: Class 2 of 10 - Numpy and Pandas for Data Analysis
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5 hours 8 minutes 
english
Online - Self Paced
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About Data Science & Machine Learning Bootcamp: Class 2 of 10 - Numpy and Pandas for Data Analysis
Welcome - Class 2
S3: What is Numpy? A brief introduction and installation instructions.
S3: NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.
S3: NumPy Essentials - Indexing, slicing, broadcasting & boolean masking
S3: NumPy Essentials - Arithmetic Operations & Universal Functions
S3: NumPy Essentials Exercises Overview
S3: NumPy Essentials Exercises Solutions
S4: What is pandas? A brief introduction and installation instructions.
S4: Pandas Introduction.
S4: Pandas Essentials - Pandas Data Structures - Series
S4: Pandas Essentials - Pandas Data Structures - DataFrame
S4: Pandas Essentials - Hierarchical Indexing
S4: Pandas Essentials - Handling Missing Data
S4: Pandas Essentials - Data Wrangling - Combining, merging, joining
S4: Pandas Essentials - Groupby
S4: Pandas Essentials - Useful Methods and Operations
S4: Pandas Essentials - Project 1 (Overview) Customer Purchases Data
S4: Pandas Essentials - Project 1 (Solutions) Customer Purchases Data
S4: Pandas Essentials - Project 2 (Overview) Chicago Payroll Data
S4: Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data
S4: Pandas Essentials - Project 2 (Solutions Part 2) Chicago Payroll Data
See you in the next class
What You Will Learn?
- This is class 2 of Data Science and machine Learning Bootcamp..
- Reminder: Please use the suggested version of libraries during the course/class. It is recommended to use .yml file to create the environment. You can watch lecture 6 and 7 from Class 1 to set up setup environment for the course. .
- We are working with these versions of numpy and pandas: .
- numpy=1.11.3 and pandas=0.20.0.
- We have learned Python Essentials in Class 1. Let's move on and explore Numpy and Pandas for Data analysis now!..
- If you have already downloaded the Course_Material, you don't need to download again. Otherwise, you can download the Course_Material from the panel on your right..