Learning Data Analytics: 1 Foundations

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Data analysts examine information using data analysis tools and help their teams develop insights and business strategies. You’ll need skills in math, statistics, communications, and working with tools designed to do data analytics and data visualization. Explore this high-demand career.

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Product is rated as #10 in category Data Analytics

Advantage of this course

About The Course

Are you interested in pursuing a career in data analytics? In this course, instructor Robin Hunt brings you into the mind of an analyst. She defines and explains foundational concepts, such as how to think about data, how to work with others in different roles to get the data you need, and the tools you need to work with data, such as Excel and Microsoft Access. She introduces you to SQL queries, PowerBI, and more. Robin goes into syntax and explains how to interpret the data you see, find the data you need, and clean the data for effective data work. She explains data governance and how to ask the right questions of different departments to gather the data you need. Robin shows how to work with data, including how to import data, work with flat files such as CSVs, and create datasets for others. Robin goes into what cleaning and modeling mean, as well as how to use Power Query in Excel. She has also added challenge/solution sets in each chapter to help you evaluate your skills.

What Will You Learn

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Course Contents

Fundamentals of Data Understanding

Learning to identify data, data fields and types. Learning syntax and basic SQL statements.

Data cleaning and modeling

In a foundations course in data analytics, you will learn about two crucial aspects of data analytics: data cleaning and data modeling.

Getting Started With Data Analysis

Defining data analysis and data analyst and discovering. Explaining organizational roles in data and types of data job roles.

Data Importing, Exporting and Connections

Learning how to transform data during the import/export process to meet specific requirements.

FAQ

The time commitment varies depending on the course and its intensity. It's essential to review the course syllabus and understand the workload to plan your schedule accordingly.

Data analysis skills are widely applicable across various industries, and the course content often includes real-world scenarios to prepare you for practical applications.

Yes, many data analytics courses provide a certificate of completion, which can be valuable for showcasing your skills to potential employers.

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    Learning Data Analytics: 1 Foundations
    Learning Data Analytics: 1 Foundations

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