We may earn an affiliate commission when you visit our partners.
Course image
Course image
edX logo

Principles of Analytics

Grant Ward

Unlock the power of data and transform your HR practice with our dynamic course, Principles of Analytics.

Read more

Unlock the power of data and transform your HR practice with our dynamic course, Principles of Analytics.

Dive into the pivotal role that data plays in today's workplace and discover innovative ways to harness its potential for strategic HR decisions.

Designed for intermediate-level HR professionals eager to elevate their skills, this self-paced, four-week course offers a comprehensive exploration of data-driven HR practices.

What you’ll learn:

  • The role of data in HR: Understand the critical importance of data in the modern workplace and how it drives decision-making and strategic planning.
  • Harnessing data for HR: Learn the various methods and tools HR professionals can use to collect, analyse and interpret data to enhance organisational outcomes.
  • Data's influence on organisations: Explore how data integrates into different parts of the organisation, from improving employee experience to optimising customer service and stakeholder engagement.
  • Evidence- based practice: Discover how to apply evidence-based practices to inform organisational measures and outcomes, ensuring decisions are grounded in reliable data.
  • Creating value: Gain insights into how data-driven strategies can create value for employees, customers, and other stakeholders, enhancing overall organisational performance.

Join us for this expertly designed course by HR professionals and take a decisive step towards becoming a data-savvy HR leader.

What's inside

Learning objectives

  • Week 1: principles of analytics
  • Week 2: how to apply evidence-based practice (ebp)
  • Week 3: how evidence-based practice adds value
  • Week 4: why evidence-based practice matters to hr

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Designed for intermediate-level HR professionals seeking to upgrade their skills
Provides a comprehensive exploration of data-driven HR practices
Taught by HR professionals with industry expertise

Save this course

Save Principles of Analytics to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Principles of Analytics with these activities:
Read 'People Analytics' by Alex Brigham
Gain insights into the practical applications of people analytics in HR.
Show steps
  • Review the fundamentals of people analytics
  • Explore case studies and best practices
Engage in peer discussion forums
Connect with peers, exchange knowledge, and contribute to a collaborative learning environment.
Show steps
  • Join and participate in online forums
  • Ask and answer questions
  • Share insights and experiences
Solve data analysis challenges
Enhance data interpretation skills through targeted data analysis exercises.
Browse courses on Data Analysis
Show steps
  • Access and interpret HR data using tools
  • Identify patterns and trends in data
  • Draw insights and make recommendations
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore advanced HR analytics techniques
Expand knowledge of cutting-edge HR analytics techniques to gain a competitive advantage.
Browse courses on Predictive Analytics
Show steps
  • Identify advanced techniques for HR
  • Follow tutorials and online courses
  • Apply techniques to real-world HR challenges
Contribute to open-source HR analytics projects
Gain hands-on experience, build a portfolio, and contribute to the HR analytics community.
Browse courses on Software Development
Show steps
  • Identify open-source HR analytics projects
  • Contribute code, documentation, or support
  • Collaborate with developers and researchers
Create a data-driven HR plan
Develop a comprehensive plan to utilize data for decision-making and improve HR outcomes.
Show steps
  • Identify HR challenges and objectives
  • Collect and analyze HR data
  • Develop data-driven strategies and interventions
  • Implement and evaluate the plan
Design a data dashboard for HR metrics
Develop a visually engaging dashboard to present key HR metrics and insights.
Browse courses on Data Visualization
Show steps
  • Select relevant HR metrics to track
  • Choose appropriate visualization techniques
  • Design and develop the dashboard

Career center

Learners who complete Principles of Analytics will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Principles of Analytics.
Business, Culture and Change in Context
Most relevant
Employee Relationship Management
Most relevant
Generative AI in HR - Impact and Application of Gen AI
Most relevant
Emotional Intelligence In The Workplace
Most relevant
Learning and Development Design to Create Value
Most relevant
Supporting Self-Directed and Social Learning
Most relevant
Core Behaviours for People Professionals
Most relevant
People analytics and reporting
Most relevant
Advanced SHRM Competencies and Knowledge
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser