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Stepping into Data Science
Course Description
This two-day instructor-led course focuses on Data Science and you will learn about practice of data
science, Python programming language, Azure Machine Learning Studio and how they can be used to
explore and transform data, and create, validate, deploy and consume machine learning models.

Audience Profile

The primary audience for this course is individuals who need to master the basics of data science and
who plan an implementation of data science solution. The secondary audience of this course is
individuals who develop data related solutions and keen to learn data science, its concepts and
technologies related

Participant Prerequisites

This course requires that you meet the following prerequisites :
  • Working knowledge of data related solutions
  • Working knowledge of programming
  • Basic knowledge on relational data and business intelligence
  • Basic knowledge on programming concepts
Course Objectives

After completing this course, you will be able to:
• Describe Data Science and Data Science methodologies.
• Describe essentials statistics for Data Science.
• Describe how to use Python for exploring and transforming data, and creating, validating and deploying Machine Learning models.
• Describe how to use Azure Machine Learning Studio for exploring and transforming data, and creating, validating and deploying Machine Learning models.
• Describe supervised and unsupervised Machine Learning techniques.
• Describe how to implement a predictive model and consume it.

Course Outline

The following items describe the outline of the course:

• Introduction to Data Science
• Introduction to Python for Data Science
• Essentials statistics for Data Science
• Exploring, cleaning and preparing data
• Introduction to Azure Machine Learning Studio
• Supervised Machine Learning
• Unsupervised Machine Learning
• Creating a machine learning model using Python
• Creating a machine learning model using Azure Machine Learning Studio

Course Materials

The following materials are included as part of the course.

• Printed slides with hands-on instructions
• Sample datasources for hands-on

Classroom Setup

Classroom is setup as below;

• A laptop or desktop configured with relevant software for each participant
• Internet connectivity for hands-on
• Free Azure Pass for working with Azure Machine Learning Studio

22nd & 23rd MAY 2019

Inquire Now

8 + 15 =

Dinesh Priyankara, MVP, MCT
Founder / Principal Architect at dinesQL

Dinesh is an experienced professional and database enthusiast with skills in database management systems and business intelligence, especially on the Microsoft SQL Server product suite. Possessing over 16 years of experience on data related technologies, he does training, consulting, and is a top contributor to the local SQL Server community.