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Data Science Essentials (DAT203.1x)

Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts.

GK# 6886

Course Overview


In this data science course, you will learn key concepts in data acquisition, preparation, exploration, and visualization taught alongside practical application oriented examples such as how to build a cloud data science solution using Microsoft Azure Machine Learning platform, or with R, and Python on Azure stack.

Add a course completion certificate to your cart when you enroll for your course, or purchase it at any time prior to course completion. A voucher code will be added to your MyGK dashboard that can be redeemed upon passing the exam in the course completion chapter.

Add Course Completion Certificate for $100


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What You'll Learn

  • Explore the data science process
  • Probability and statistics in data science
  • Data exploration and visualization
  • Data ingestion, cleansing, and transformation
  • Introduction to machine learning
  • The hands-on elements of this course leverage a combination of R, Python, and Microsoft Azure Machine Learning


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On-Demand Outline

Explore the data science process – An Introduction

  • Understand data science thinking.
  • Know the data science process
  • Use AML to create and publish a first machine learning experiment
  • Lab: Creating your first model in Azure Machine Learning

Probability and statistics in data science

  • Understand and apply confidence intervals and hypothesis testing
  • Understand the meaning and application of correlation Know how to apply simulation
  • Lab: Working with probability and statistics
  • Lab: Simulation and hypothesis testing

Working with data – Ingestion and preparation

  • Know the basics of data ingestion and selection
  • Understand the importance and process for data cleaning, integration and transformation
  • Lab: Data ingestion and selection - new
  • Lab: Data munging with Azure Machine Learning, R, and Python on Azure stack

Data Exploration and Visualization

  • Know how to create and interpret basic plot types
  • Understand the process of exploring datasets
  • Lab: Exploring data with visualization with Azure Machine Learning, R and Python

Introduction to Supervised Machine Learning

  • Understand the basic concepts of supervised learning
  • Understand the basic concepts of unsupervised learning
  • Create simple machine learning models in AML
  • Lab: Classification of people by income
  • Lab: Auto price prediction with regression
  • Lab: K-means clustering with Azure Machine Learning

Who Should Attend


Those looking to understand the essentials of data science.

Course Delivery

This course is available in the following formats:


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