MindEdge Learning

HR Data Literacy: Collecting, Analyzing, & Presenting Data

MindEdge Learning

HR Data Literacy: Collecting, Analyzing, & Presenting Data

MindEdge Learning

Instructor: MindEdge Learning

Included with Coursera PlusLearn more

Gain insight into a topic and learn the fundamentals.
4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4 hours to complete
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Foundations of HR Management: People, Performance, Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

In this module, you will learn about big data and explore ethical and legal issues. You will examine workforce analytics and how to apply descriptive, predictive, and prescriptive analytics. The module also explores the advantages and criticisms of data-driven decision-making, focusing on how HR professionals use data.

What's included

3 videos4 readings3 assignments1 plugin

In this module, you will look more closely at different types of data and analyses. You will learn ways to collect and analyze data, including the role of AI. The module examines the stages involved in planning an analysis. You will also compare different methods and sources of data collection.

What's included

1 video5 readings4 assignments1 plugin

In this module, you will delve more deeply into what your data is providing and how data might be misleading. You will learn concepts that help HR professionals to perform basic analyses and to effectively communicate data-related needs. The module also explores correlation, causation, reliability, validity, biases, and errors, as well as providing tools for data presentations.

What's included

5 readings2 assignments1 plugin

In this module, you will learn how to best secure and dispose of data, as well as advantages and disadvantages of different methods of storage. The module outlines data-related legal mandates and explores confidentiality, privacy, and discrimination. Case studies reinforce your understanding of data applications.

What's included

1 video3 readings2 assignments1 plugin

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Instructor

MindEdge Learning
MindEdge Learning
7 Courses26 learners

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