Online Course
Intro to Revenue Analytics

Improve your business acumen: Acquire revenue analytics skills to drive topline growth and informed decision-making

4.8

862 reviews on
2,762 students already enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

1 hour
  • Lessons (1 hour)

CPE credits:

1.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited

certificate

What you learn

  • Understand key revenue concepts and metrics.
  • Calculate and analyze revenue growth and retention.
  • Improve your understanding of the revenue generation cycle.
  • Learn the basics of pricing and its role in business strategy.
  • Leverage customer success analytics to boost retention.

Topics & tools

Revenue AnalyticsPricing AnalyticsCustomer Success AnalyticsTheoryBusiness Skills

Your instructor

Course OVERVIEW

Description

CPE Credits: 1.5 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study
Are you looking for a beginner-friendly revenue analytics course? Would you like to improve your revenue analytics skills in just a few hours? If so, then this is the revenue analytics training for you. Acquire the business skills analysts need in their early days on the job. Understand how businesses create value for customers, measure revenue growth and retention, analyze a company’s pricing, and become familiar with the revenue streams a company could use to generate income. Moreover, this course allows you to dissect the revneue model to identify the levers that can propel growth. This includes identifying key KPIs, crucial pricing and customer success analytics. How do you generate new sales, how do you increase retention? This revenue analytics course is ideal for aspiring analysts—bridging the gap between technical skills and successful job performance with solid business acumen. It’s one thing to know how to retrieve data from a database and write SQL or Python code to compute calculations, but as a successful analyst, you should be able to analyze data critically through a business lens. If you wish to use data analysis to create business value and drive your company’s sales up, this training will help you build a solid foundation and perform at a high level from day one. What sets this Intro to Revenue Analytics course apart from others? 1. Exceptional Content Quality Enjoy structured learning and a carefully crafted revenue analytics course. The curriculum distills the practical experience of the instructor and teaches you the revenue analytics skills that will allow you to perform at a high level in any corporation. 2. Expert Instructor Sudhir Buddhavarapu—a seasoned Silicon Valley veteran with experience in big enterprises and start-ups, with solid academic qualifications — has served in several leadership roles in the analytics space, ranging from product, marketing, business and revenue analytics. His deep industry knowledge and passion for sharing his knowledge makes him an ideal instructor for this course. 3. Certificate of Achievement Complete the course and pass the exam to earn a verifiable certificate of achievement—a testament to your dedication and hard work. Click the 'Buy Now' button to embark on an incredible revenue analytics learning journey and invest in a career-changing opportunity.

Prerequisites

  • No prior experience or knowledge is required. We’ll start from the basics and gradually build your understanding. Everything you need is included in the course.

Advanced preparation

  • None

Curriculum

44 lessons 10 exercises 1 exam
  • 1. Course Introduction
    6 min
    6 min
    Course introduction Free
    Why this course Free
    Course structure Free
  • 2. Understanding revenue
    5 min
    What is revenue? You will learn about the definition and importance of revenue through a structured framework.
    5 min
    What is revenue? You will learn about the definition and importance of revenue through a structured framework.
    Basics of revenue
    Exercise
    Key concepts related to revenue
    Exercise
    How revenue is recorded in accounting books
    Exercise
  • 3. Measuring revenue growth
    5 min
    How do you measure revenue? You will learn about the different ways and metrics through which revenue is generally measured.
    5 min
    How do you measure revenue? You will learn about the different ways and metrics through which revenue is generally measured.
    Year-on-year % growth
    CAGR - Compound Annual Growth Rate 
    Run rate
    Exercise
    Net revenue retention
  • 4. Generating revenue
    4 min
    How do businesses generate revenue? You will learn about the different facets and levers to generate revenue.
    4 min
    How do businesses generate revenue? You will learn about the different facets and levers to generate revenue.
    Sales target
    Sales cycle
    Sales pipeline
    Exercise
    Great work!
  • 5. Landscaping revenue streams
    12 min
    What are the different types of revenue streams? You will learn about the different types of revenue streams that businesses typically use.
    12 min
    What are the different types of revenue streams? You will learn about the different types of revenue streams that businesses typically use.
    Introduction and learning objectives
    What is a revenue stream?
    Sales revenue: the traditional pillar
    Subscription revenue: the recurring income model
    Advertising revenue: monetizing attention
    Licensing revenue: monetizing intellectual property and brand
    Affiliate marketing: collaboration for profit
    Rental or leasing revenue: monetizing assets
    Consulting and service fees: selling expertise
    Donations and crowdfunding: community support
    Exercise
    Section summary
  • 6. Intro to pricing analytics
    15 min
    What is pricing analytics? You will learn about a structured approach to pricing.
    15 min
    What is pricing analytics? You will learn about a structured approach to pricing.
    Section introduction
    Unraveling the basics of pricing
    From production costs to net revenue
    Why pricing is important
    Price elasticity of demand
    The 5 Cs of pricing
    Key pricing strategies
    Key takeaways
  • 7. Intro to customer success analytics
    22 min
    What is customer success analytics and why is it so important? You will learn about identifying opportunities to increase revenue through analysis on customer feedback.
    22 min
    What is customer success analytics and why is it so important? You will learn about identifying opportunities to increase revenue through analysis on customer feedback.
    Introduction
    Customer success and its importance
    Key components of customer success
    Net Promoter Score (NPS)
    How to implement a customer success strategy
    The importance of customer success feedback analysis
    Methods for collecting customer feedback
    Tools for customer feedback analysis
    How to conduct customer feedback analysis
    Practical example
    Conclusion
  • 8. Course exam
    30 min
    30 min
    Course exam

Free lessons

Course introduction

1.1 Course introduction

3 min

Why this course

1.2 Why this course

2 min

Course structure

1.3 Course structure

1 min

Key concepts related to revenue

2.3 Key concepts related to revenue

3 min

Start for free

9 in 10

of our graduates landed a new AI & data job

after enrollment

96%

of our students recommend

365 Data Science.

$29,000

average salary increase

after moving to an AI and data science career

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice exams
  • AI mock interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

Try for free

Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

Try for free

Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

Try for free

Practice exams

Track your progress and solidify your knowledge with regular practice exams.

Try for free

AI mock interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

Try for free

Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.