Python Data Analysis

Description

In this course, you will :

• Learn how by explaining how to get started with data science using Python.
• shows you how to set up your analysis environment and refreshes you on the fundamentals of working with data structures in Python.
• also walks through two sample big-data projects: identifying and visualising weather patterns with NumPy and analysing the popularity of baby names over the last century with Pandas.

Syllabus :

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

 

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

 

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

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