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Data Science Essentials Course Outline

 (3 days)

Overview
This course is part of the Microsoft Professional Program Certificate in Data Science.

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

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.

Duration
Approximately 6 weeks assuming 3 to 4 hours of effort per week.

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

Course Syllabus

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

View outline in Word

ED2031

Attend hands-on, instructor-led Data Science Essentials training classes at ONLC's more than 300 locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

For additional training options, check out our list of Courses and select the one that's right for you.

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If you have high-speed internet and two computers you can likely take this class from your office or home.

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