Duration

2 days

OVERVIEW

This course aims to expose participants to the application of data science on business data. Towards the creation of actionable insights, participants will be guided through the data science pipeline which comprises of data pre-processing, exploratory data analysis, data mining and data visualization. Participants will learn how to detect, amend or remove inconsistencies in the data in order to improve data quality. The participants will then learn to perform exploratory data analysis to generate relevant statistics reflective of the main characteristics of the data and communicate it in the form of statistical graphics such as histograms, bar graphs, box-plots etc. Lastly, the participants will be exposed to data mining techniques that will enable discovery and visualization of patterns/relationships within the dataset which might be useful in drawing inferences that can aid in decision-making. The knowledge gained from this course will enable participants to embark on analysis of organizational data towards the creation of actionable insights that match their business needs.

AUDIENCE

This course is intended for IT personnel who are interested learn about the data science for Big Data Analytics.

PREREQUISITE

Basic knowledge of programming is preferable.

OBJECTIVES

After completing this module, participants will be able to

Understand the data science pipeline.
Preprocess business data ensuring better data quality.
Perform exploratory data analysis and data mining.
Visualize key observations towards the creation of actionable insights.

DAY 1

0900 – 1040

Overview of Data Science

1040 – 1100

Break

1100 – 1200

Data Pre-processing

1200 – 1300

Hands-On: Data Cleaning and Manipulation

1300 – 1400

Lunch

1400 – 1440

Exploratory Data Analysis

1440 – 1540

Hands-On: Descriptive Statistics and Statistical Graphics

1540 – 1600

Afternoon Break

1600 – 1700

Lab Exercise: Exploratory data analysis

DAY 2