Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Python Data Analysis

via LinkedIn Learning

Write review

Coursera

Google Data Analytics, IBM AI & Meta Marketing — All in One Subscription

CodeSignal

2,000+ Free Courses with Certificates: Coding, AI, SQL, and More

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off

One annual plan covers every course and certificate on Coursera. 40% off for a limited time.

Get Full Access

Interested in using Python for data analysis? Learn how to use Python, NumPy, and pandas together to analyze data sets large and small.

Syllabus

Introduction

Get started in data analysis with Python
What you need to know
What's new in this update

1. Installation and Setup

Install Anaconda Python on OS X
Install Anaconda Python on Windows
Working with Jupyter Notebooks
Using the exercise files
Using Python in the cloud

2. Data Structures in Pure Python

Warmup with Python loops
Sequences: Lists, tuples, and the slicing syntax
Dictionaries and sets
Comprehensions
Advanced Python containers

3. Wordplay: Anagrams and Palindromes

Anagrams overview
Loading a dictionary
Finding anagrams
Challenge: Palindromes
Solution: Palindromes

4. Arrays with NumPy

NumPy overview
Creating NumPy arrays
Indexing NumPy arrays
Doing math with NumPy arrays
Special arrays: Records and dates

5. Use Case: Weather Data

Overview of use case
Loading station and temperature data
Filling missing values
Smoothing time series
Weather charts
Challenge: Weather anomalies
Solution: Weather anomalies

6. pandas

pandas overview
DataFrames and Series
Indexing in pandas
Plotting

7. Use Case: Baby Names

Overview of use case
Loading data sets
Comparing name popularity
Yearly top ten names
Challenge: Unisex baby names
Solution: Unisex baby names

Conclusion

Next steps

Taught by

Michele Vallisneri

Reviews

4.6 rating at LinkedIn Learning based on 2823 ratings

Start your review of Python Data Analysis