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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

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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

Schedule

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  • Delivery Format:
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What You'll Learn

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  • 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

Outline

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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

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Those looking to understand the essentials of data science.

Course Delivery

This course is available in the following formats:

On-Demand

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