Learn how to Work with Data in this free online Data Science course
This course teaches you how to prepare information and explores continuous and categorical variables, quantization, scaling and the flow of data in Azure ML.
Any scientific career requires the ability to work with and prepare data. This data science course shows you how to acquire the information you need for a project and how to recognize the usefulness of different data sets. We examine Python and ?R? programming languages in Azure Machine Learning (Azure ML) and take you through the lifecycle of data and machine learning. We blend research methodology and programming to teach you data science.
What You Will Learn In This Free Course
Data Acquisition and Programming Language for Data Science
In this module you will be introduced to the Data flow in Azure ML, 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 programing languages and what they can do for a data science project.
Data Sampling and Preparation
In this 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.
Course assessment
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