Search result for Courses in data analyst Online Courses & Certifications
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Introduction to Data Analytics
by Rav Ahuja- 4.8
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Approx. 11 hours to complete
This all comes together in the final project where it will test your knowledge of the course material, explore what it means to be a Data Analyst, and provide a real-world scenario of data analysis. Key Players in the Data Ecosystem Responsibilities of a Data Analyst A Day in the Life of a Data Analyst...
Foundations: Data, Data, Everywhere
by Google Career CertificatesTop Instructor- 4.8
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Approx. 20 hours to complete
This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. - Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job. Data analyst roles and job descriptions...
Innovation: From Creativity to Entrepreneurship Capstone
by Jeff Flesher- 4.7
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Approx. 7 hours to complete
The capstone for the specialization will provide a learning experience that integrates across all the courses within it. Analysis Assignment Data Sources: The Local Motors Case...
Business Analytics
by Josh Bernhard , Dana Sheahan , Mat Leonard , Derek Steer , Sam Nelson- 0.0
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3 Months
These skills are also a great foundation to a career in data analysis and data science. In this program, you’ll learn foundational data skills that apply across functions and industries. We have more courses that will pick up from where this course leaves off to help you become ready for a career in data science....
Process Data from Dirty to Clean
by Google Career CertificatesTop Instructor- 4.8
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Approx. 22 hours to complete
This is the fourth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. Joseph: Black and African American inclusion in the data industry Kate: My career path as a data analyst Describe the process involved in verifying the results of cleaning data...
Marketing Analytics
by Brad Batesole , Josh Bernhard , Dana Sheahen , Mat Leonard , Anke Audenaert- 0.0
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3 Months
This Nanodegree program is an excellent introduction to the fundamentals of data and marketing analysis. It is also a great first step on a journey to becoming a marketing analyst or data scientist. We have more courses that will pick up from where this course leaves off to help you become ready for a career in marketing or data science....
Getting Started with SAS Visual Analytics
by Nicole Ball- 4.7
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Approx. 5 hours to complete
In this course, you learn more about SAS Visual Analytics and the SAS Viya platform, how to access and investigate data in SAS Visual Analytics, and how to prepare data for analysis using SAS Data Studio. Taking Courses in this Professional Certificate Demo: Viewing a Report in Visual Analytics Practice: Viewing a Report in Visual Analytics...
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Excel Basics for Data Analysis
by Sandip Saha Joy , Steve Ryan- 4.7
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Approx. 12 hours to complete
With each lab, you will gain hands-on experience in manipulating data and begin to understand the important role of spreadsheets. Clean and analyze your data faster by understanding functions in the formatting of data. Getting started with Excel is made easy in this course. Referencing Data in Formulas Dealing with Inconsistencies in Data Filtering and Sorting Data in Excel...
Business Metrics for Data-Driven Companies
by Daniel Egger , Jana Schaich Borg- 4.6
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Approx. 8 hours to complete
In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. Working in the Business Data Analytics Marketplace...
GIS Data Formats, Design and Quality
by Nick Santos- 4.9
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Approx. 28 hours to complete
In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules: Vector Data in Action Managing Data in the Catalog Window Design data tables and use separating and joining data in a relational database...
