LibGuides: TIM-8535 V2: Lesson 1 Resources

Lesson 1 Resources

Google Colab
Set up a Google account to use this open-source Python platform to support univariate analysis projects. The Getting Started section under the Table of Contents is helpful to those new to the environment.
Hands-On Exploratory Data Analysis With Python
Mukhiya, S. K., & Ahmed, U. (2020, March). Hands-on exploratory data analysis with python. Packt Publishing.
Read Chapter 5 - Descriptive Statistics
This chapter provides a detailed view of summary statistics and various measures of central tendency.
Data Science Process Alliance – What Is CRISP-DM?
Data Science Process Alliance. (n.d.). What is CRISP DM? DSPA.
This web page introduces the CRISP-DM process model and details the six phases that describe the data science life cycle.

Dataset Options

Diabetes Mellitus Case Study

diabetes_mellitus.csv

Bakery Transactions

Bakery_transactions.csv

Sample Scripts and Data Files

These files can be used to understand the univariate segmentation methods used to analyze univariate data. The TEMPLATE is a basic starter file that can be used to begin new data analysis projects. It is recommended that the Lesson1_Dictionary_Demo file be used first to gain an understanding of univariate segmentation. The Sample Problem Statement should be used as a guide for problem statements throughout the course.

Getting to Know Univariate Segmentation

Lesson1_Dictionary_Demo.ipynb
Please be sure to unzip file before using.
TEMPLATE.ipynb
Please be sure to unzip file before using.

Flight Delays Example (including merging of datasets)

airlines.csv
by_carrier.csv
flights.csv
Please be sure to unzip file before using.
Lesson1_CSV_Demo.ipynb
Please be sure to unzip file before using.

Sample Problem Statement

XYZ Used Car Sales Problem Statement.pdf