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Data Science - Working with Data - Revised
Learn about working with and preparing data for your data science project.
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.
Start Course NowModules
Data Acquisition and Programming Language for Data Science
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Data Acquisition and Programming Language for Data Science - Learning Outcomes
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Data Acquisition and Flow
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R and Python in Azure ML
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R in Azure AL
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Python in Azure ML
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Data Acquisition and Programming Language for Data Science - Lesson Summary
Data Sampling and Preparation
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Data Sampling and Preparation - Learning Outcomes
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Data Sampling and Quantization
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Missing and Repeated Values
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Outliers and Errors
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Visualizing and Handling Outliers in Scripts
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Scaling Data
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Data Sampling and Preparation - Lesson Summary
Course assessment
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 an official Certificate, which is a great way to share your achievement with the world. Your Alison Certificate 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 Certificates 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 Certificates are available to purchase through the Alison Shop. For more information on purchasing Alison Certificates, please visit our FAQs. If you decide not to purchase your Alison Certificate, 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 Certificate pricing, please visit our Pricing Page.
