Data Science - Working with Data

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Course Details

Cost

FREE,
Add a Verified Certificate for €21

Upcoming Schedule

  • On demand

Course Provider

Alison online courses
Welcome to ALISON – a three million-strong, global online learning community, filled with free, high-quality resources to help you develop essential, certified workplace skills. ALISON was founded in 2007 by global leader and innovator Mike Feerick. Our mission at ALISON is simple: to enable you, wherever you are in the world, to learn and get certified – at your own pace – using our free, interactive, multimedia. There are 600 free courses for you to choose from: * Finan...
Welcome to ALISON – a three million-strong, global online learning community, filled with free, high-quality resources to help you develop essential, certified workplace skills. ALISON was founded in 2007 by global leader and innovator Mike Feerick. Our mission at ALISON is simple: to enable you, wherever you are in the world, to learn and get certified – at your own pace – using our free, interactive, multimedia. There are 600 free courses for you to choose from: * Financial & Economic Literacy * Digital Literacy & IT Skills * Diploma Courses * Health Literacy * Health & Safety (Irish Legislation Only) ALISON is for anyone taking their first step to a new job, and for everyone taking their next step to a better job. ALISON is as individual as you are. Our materials will help you to develop your creativity, confidence and competence for work, and to be as contented and productive as you can be in the world of work. Every course is standards-based and certified. That means bragging rights with family and friends, an edge in your first job or new job, and inspiration to be all you can be. So now get ready for a bright new future!

Provider Subject Specialization
Humanities
Business & Management
17 reviews

Course Description

In this free online course Data Science - Working with Data you will be introduced to methods for preparing data, how to differentiate between continuous and categorical variables, and what quantization and scaling involve.

The course begins by introducing you to the data flow in Azure ML, you will learn about batch and real time processing, and the different types of joins you can use on your data. You will learn about R and Python programing languages and how they can be used in a data science project.

Next, you will be introduced to data sampling and preparation. You will learn about continuous and categorical variables, and what quantization can do for your data. The course will teach you about data munging which is the process of manually converting or mapping data from one "raw" form into another format, and how it is the most time-consuming part of a data science project. You will also learn about handling errors and outliers ...

In this free online course Data Science - Working with Data you will be introduced to methods for preparing data, how to differentiate between continuous and categorical variables, and what quantization and scaling involve.

The course begins by introducing you to the data flow in Azure ML, you will learn about batch and real time processing, and the different types of joins you can use on your data. You will learn about R and Python programing languages and how they can be used in a data science project.

Next, you will be introduced to data sampling and preparation. You will learn about continuous and categorical variables, and what quantization can do for your data. The course will teach you about data munging which is the process of manually converting or mapping data from one "raw" form into another format, and how it is the most time-consuming part of a data science project. You will also learn about handling errors and outliers in your project. Finally, you will learn about scaling using either Python, R or Azure ML module for scaling.

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

Prerequisites: To complete this course successfully you need a basic knowledge of mathematics, including linear algebra. Additionally, some programming experience, ideally in either R or Python, is assumed and you will need to have completed the previous course Introduction to Data Science.

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.