Introduction To Data Science Training Course

Requirements

• An understanding of mathematics and statistics.

• Some programming experience, preferably in Python.

Audience

• Professionals interested in making a career change 

• People curious about Data Science and Data Analytics

Overview

This instructor-led, live training (online or onsite) is aimed at professionals who wish to start a career in Data Science.

By the end of this training, participants will be able to:

• Install and configure Python and MySql.

• Understand what Data Science is and how it can add value to virtually any business. 

• Learn the fundamentals of coding in Python

• Learn supervised and unsupervised Machine Learning techniques, and how to implement them and interpret the results.  

Format of the Course

• Interactive lecture and discussion.

• Lots of exercises and practice.

• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Course Outline

Day 1 

• Data Science: an overview

• Practical part: Let’s get started with Python - Basic features of the language 

• The data science life cycle - part 1

• Practical part: Working with structured data - the Pandas library

Day 2 

• The data science life cycle - part 2

• Practical part: dealing with real data

• Data visualisation

• Practical part: the Matplotlib library

Day 3

• SQL - part 1

• Practical part: Creating a MySql database with tables, inserting data and performing simple queries 

• SQL part 2

• Practical part: Integrating MySql and Python 

Day 4

• Supervised learning part 1

• Practical part: regression

• Supervised learning part 2

• Practical part: classification

Day 5

• Supervised learning part 3

• Practical part: building a spam filter

• Unsupervised learning

• Practical part: Clustering images with k-means