Introduction to Data Science

• 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

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.

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