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ADP Learning Academy

Successful Compensation and Benefit Analysts consistently use data to drive their decisions in managing projects, tasks, and strategies. This course provides you with the foundational knowledge needed to develop essential skills in project management, data analytics, Microsoft Excel, and data visualization. You’ll have a chance to strengthen these skills throughout the rest of this Certificate program as you complete hands-on projects for your professional portfolio.

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What's inside

Syllabus

Module 1: Project Management Basics
This module focuses on a skill in high demand around the world: project management. You’ll start with basic definitions and concepts, then different methodologies – like waterfall, Agile, and critical path. You’ll also explore useful project tools and visuals. You’ll begin to apply your new knowledge by creating two common project artifacts: a RACI chart and a project timeline.
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Provides foundational knowledge in project management, data analytics, Microsoft Excel, and data visualization
Suitable for Compensation and Benefit Analysts seeking to enhance their decision-making skills through data-driven analysis
Emphasizes the practical application of learned skills through hands-on projects for professional portfolio development
Covers essential aspects of project management, including methodologies, tools, and timelines
Introduces concepts and techniques for data analytics, data privacy, and different types of data analysis
Guides learners in collecting data effectively through various methods and tools

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Reviews summary

Essential skills for comp & benefits

According to learners, this course is a highly relevant and practical introduction to essential skills for Compensation & Benefits professionals. Students particularly value the hands-on projects and clear explanations. The Excel exercises, especially on data cleaning and data visualization, are frequently cited as valuable for immediate workplace application. While providing a solid foundational knowledge, some more experienced learners noted the course might be too introductory regarding deeper data analytics concepts, suggesting it's ideal for beginners or those new to the field. Overall, it's considered well-organized and effective for its stated purpose.
Provides a solid foundation, though may be introductory for experienced pros.
"It's perfect for beginners in the field."
"Only useful if you're absolutely new to everything."
"Felt like a very broad overview rather than an in-depth dive. Good for total novices."
"A good entry point for someone transitioning into a Comp & Benefits role."
Clear and well-organized introduction to project management basics.
"The project management module was incredibly well-structured."
"I appreciated the emphasis on... structured approach to project management."
"The project management part was useful."
Strong focus on data cleaning and visualization in Excel.
"The Excel exercises were practical and directly applicable."
"The lessons on data cleaning in Excel were invaluable."
"I loved the hands-on data visualization section, it really helped me tell a story with data."
"The Excel tips were great."
Equips learners with directly applicable workplace skills.
"I can immediately apply these skills at work."
"The focus on practical, actionable skills is its strongest point."
"This course is a game-changer... directly applicable."
"I particularly enjoyed the practical application of concepts, especially the RACI chart exercise."
Offers a broad introduction, but some desired more in-depth coverage.
"I found the data analytics modules a bit too shallow."
"While it touches on relevant topics, it felt too superficial."
"For data analytics, I needed to supplement with other resources to get a deeper understanding."

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 Essential Skills for Comp & Benefits Professionals with these activities:
Review spreadsheet functions
Provide a fresh context and opportunity to practice using spreadsheet functions before the course begins
Browse courses on Microsoft Excel
Show steps
  • Look through your notes or textbooks from a previous course on spreadsheets
  • Go over basic functions such as SUM, AVERAGE, and COUNTIF
  • Try to apply these functions to a simple dataset
Learn about project management methodologies
Help students understand the different project management methodologies to prepare them for Module 1
Browse courses on Project Management
Show steps
  • Find online tutorials on project management methodologies
  • Watch the tutorials and take notes on the key concepts
  • Compare and contrast the different methodologies
Form a study group with other students
Facilitate collaboration and knowledge sharing among students
Show steps
  • Find other students who are taking the same course
  • Schedule regular study sessions
  • Discuss the course material and work on assignments together
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice creating data visualizations
Provide students with an opportunity to practice creating data visualizations to prepare them for Module 5
Browse courses on Data Visualization
Show steps
  • Choose a dataset to work with
  • Use a data visualization tool to create different types of visualizations
  • Analyze the visualizations and draw conclusions from the data
Develop a project plan
Allow students to apply the concepts they learn in Module 1 by developing a project plan for a real-world project
Browse courses on Project Management
Show steps
  • Define the project scope and objectives
  • Create a project timeline and budget
  • Identify the resources needed for the project
  • Develop a communication plan for the project
Write a white paper on a data analytics topic
Challenge students to synthesize their knowledge of data analytics and communicate it effectively in writing
Browse courses on Data Analytics
Show steps
  • Choose a specific data analytics topic to focus on
  • Conduct research on the topic
  • Develop a thesis statement and outline for the white paper
  • Write the white paper
  • Edit and proofread the white paper
Attend a data analytics conference or meetup
Encourage students to connect with professionals in the field of data analytics
Browse courses on Data Analytics
Show steps
  • Find a data analytics conference or meetup in your area
  • Register for the event
  • Attend the event and network with other attendees

Career center

Learners who complete Essential Skills for Comp & Benefits Professionals will develop knowledge and skills that may be useful to these careers:

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