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Data Science - Working with Data - Revised

Learn about working with and preparing data for your data science project.

Data Science
Free Course
This free online Data Science course from Alison will give you a better understanding of how to work with data, from acquiring data to working the Python and R programming languages in Azure ML. With this course, you will learn how to prepare data for the purpose of applying machine learning models to it, removing repeated values and outliers, and scaling the data. This will be a great boost for your career development.
  • Duration

    2-3 Hours
  • Assessment

    Yes
  • Certification

    Yes
  • Responsive

    Yes
  • Publisher

    Channel 9

Description

Modules

Outcome

Certification

View course modules

Description

In this online course Data Science - Working with Data you will learn about the flow of data in Azure ML. you will learn about joins and the R and Python languages. You will learn about preparing your data, continuous and categorical variables. You will learn about quantization and scaling. 

The course starts off with introducing you to the Data flow in Azure ML,where  you will learn about batch and real time processing. You will learn about different types of joins you can use on your data. You will learn about R and Python programming languages and what they can do for a data science project.

In the second module, you will be introduced to Data sampling and Preparation. You will learn about continuous and categorical variables. You will learn what quantization is and can do for your data. You will learn about Data munging and how it’s the most time-consuming part of a data science project. You will learn about handling errors and outliners in your project. You will learn about scaling using either python, R or Azure ML module for scaling.

This free Alison Course would be of great interest to those who wish to learn about data Science.

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Learning Outcomes

Having completed this course you will be able to:


  • Describe the flow of data in a Azure ML experiment
  • Discuss the differences between using R and Python
  • Identify which programming language suits you better R or Python
  • Describe installing both R and Python in your Azure ML environment
  • Discuss data preparation also known as data munging to prepare data for your project
  • Explain what quantizing your variables is and does
  • Explain how to deal with missing values in your data sets
  • Describe why you should scale your variables

Certification

All Alison courses are free to enrol, study and complete. To successfully complete this Certificate course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Certificate course, you have the option to acquire official Certification, which is a great way to share your achievement with the world. Your Alison Certification is:

Ideal for sharing with potential employers - include it in your CV, professional social media profiles and job applications
An indication of your commitment to continuously learn, upskill and achieve high results
An incentive for you to continue empowering yourself through lifelong learning

Alison offers 3 types of Certification for completed Certificate courses:

Digital Certificate - a downloadable Certificate in PDF format, immediately available to you when you complete your purchase
Certificate - a physical version of your officially branded and security-marked Certificate, posted to you with FREE shipping
Framed Certificate - a physical version of your officially branded and security-marked Certificate in a stylish frame, posted to you with FREE shipping

All Certification is available to purchase through the Alison Shop. For more information on purchasing Alison Certification, please visit our faqs. If you decide not to purchase your Alison Certification, you can still demonstrate your achievement by sharing your Learner Record or Learner Achievement Verification, both of which are accessible from your Dashboard. For more details on our Certification pricing, please visit our Pricing Page.

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