Data Literacy for Data Analysts

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Data Literacy in Data Analysis

4 Reviews

4-hour Online Course by Deanne Larson, Mark Peco, and Dave Wells Single-user access license

Product Code: DLC-03-A

Available as part of DLC Certification

Description

Course Outline

This material is available as part of Data Literacy certification. Please visit our Data Literacy Certification page for more information.

The study material includes comprehensive information related to data literacy for Data Analysts. It covers topics such as finding and evaluating data, data preparation, data analysis techniques, data visualization, and taking analysis to action

You Will Learn:

Skills and techniques for finding and evaluating data including project framing, data searching, and data evaluation
The practices and processes of data preparation including data engineering, data exploration, and data transformation
Statistical data analysis techniques and analytic modeling methods
Data visualization skills for reading and for creating charts and graphs
Steps to get from data analysis to action and business impact including data storytelling and value chain analysis

This Course is Geared Toward:

This course is designed to meet the learning needs of those who are preparing to take the Data Literacy Certification exam for Data Analysts

Once you pass the exam, you will receive a Certificate of Education documenting that you have demonstrated mastery of the topic. Course exams count towards eLC certification programs. Visit our Certification page for more information about our various programs.

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Purvi Ramchandani 0 of 0 people found the following review helpful:

Course Review from 5/9/2023

I liked the Data Visualization section as it is useful for storytelling and understanding different graphs and visuals. I would like to see more real life examples.

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Joyce Myers 0 of 0 people found the following review helpful:

Course Review from 5/8/2023

Course was well laid out. I enjoyed the Metadata portion and especially liked the Data vs. Information portion. My organization will benefit from that.

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Katherine Edge 0 of 0 people found the following review helpful:

Course Review from 15/14/2022

As I said in my comments on the last module, the content is good but there should be an option to read through the notes rather than having to sit through the videos. Also the delivery is quite flat.

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Liza Roodnat 1 of 1 people found the following review helpful:

Course Review from 1/11/2022

The practical examples were really helpful. I don't have experience in the data area nor in the business area, so even from scratch it was good to follow. However, it is still all quite theoretical.

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