Duration

Data Analysis using Python

1 day

Overview

Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as Jupyter Notebook and Spyder. After going through a primer on Python programming, you will grasp fundamental Python programming techniques used in data science. Moving on to data visualization, you will see how it caters to modern business needs and forms a key factor in decision-making. You will also look at some popular data visualization libraries in Python.

Shifting focus to data structures, you will learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python, followed by gathering and cleaning data. Moving on to exploring and analysing data, you will look at advanced data structures in Python. Then, you will take a deep dive into data visualization techniques, going through several plotting systems in Python.

Course Prerequisite

Knowledge and experiences working with other programming languages is a bonus but are not necessarily required.

Chapter 1: Data Gathering and Cleaning

Cleaning data
Reading and Cleaning CSV Data
Merging and Integration Data
Reading Data from the JSON Format
Reading Data from HTML Format
Reading Data from the XML Format

Chapter 2: Data Exploring and Analysis

Series Data Structures
Data Frame Data Structures
Data Analysis

Chapter 3: Data Visualization

Direct Plotting
Line Plot
Bar Plot
Pie Chart
Box Plot
Histogram Plot
Scatter Plot
Seaborn Plotting System
Strip Plot
Box Plot
Swarm Plot
Joint Plot
Matplotlib Plot
Line Plot
Bar Chart
Histogram Plot
Scatter Plot
Stack Plot
Pie Chart

Chapter 4: Case Studies

Case Study 1: Cause of Deaths in the United States (1999-2015)
Case Study 2: Analysing Gun Deaths in the United States (2012-2014)

Programme scope, delivery arrangements and suitability are confirmed during enquiry.