Intro to Revenue Analytics

with Sudhir Buddhavarapu
4.7/5
(148)

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

1 hour of content 1613 students

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 1 hour of content
  • 10 Interactive exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

Intro to Revenue Analytics

A course by Sudhir Buddhavarapu

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 1 hour of content
  • 10 Interactive exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 1 hour of content
  • 10 Interactive exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

What You Learn

  • Understand key concepts related to revenue
  • Calculate and analyze revenue growth and revenue retention metrics
  • Improve your understanding of the revenue generation cycle
  • Unravel the basics of pricing and understand why pricing plays a crucial role in your business strategy
  • Leverage customer success analytics and boost your company’s revenue retention rates

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

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.

See More

Learn for Free

Course introduction

1.1 Course introduction

3 min

Key concepts related to revenue

2.3 Key concepts related to revenue

3 min

Interactive Exercises

Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.

Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.

true-false exercise
single-choice exercise
multiple-choice exercise
flashcards exercise
fill-blank-typing exercise
fill-blank-selection exercise
order exercise
categorize exercise

Curriculum

  • 1. Course Introduction
    3 Lessons 6 Min

    Course introduction
    3 min
    Why this course Read now
    2 min
    Course structure Read now
    1 min
  • 2. Understanding revenue
    3 Lessons 5 Min

    What is revenue? You will learn about the definition and importance of revenue through a structured framework.

    Basics of revenue Read now
    1 min
    Key concepts related to revenue
    3 min
    How revenue is recorded in accounting books Read now
    1 min
  • 3. Measuring revenue growth
    4 Lessons 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 Read now
    1 min
    CAGR - Compound Annual Growth Rate 
    2 min
    Run rate Read now
    1 min
    Net revenue retention Read now
    1 min
  • 4. Generating revenue
    4 Lessons 4 Min

    How do businesses generate revenue? You will learn about the different facets and levers to generate revenue.

    Sales target Read now
    1 min
    Sales cycle Read now
    1 min
    Sales pipeline Read now
    1 min
    Great work! Read now
    1 min
  • 5. Landscaping revenue streams
    11 Lessons 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 Read now
    1 min
    What is a revenue stream? Read now
    1 min
    Sales revenue: the traditional pillar Read now
    1 min
    Subscription revenue: the recurring income model Read now
    1 min
    Advertising revenue: monetizing attention Read now
    2 min
    Licensing revenue: monetizing intellectual property and brand Read now
    1 min
    Affiliate marketing: collaboration for profit Read now
    1 min
    Rental or leasing revenue: monetizing assets Read now
    1 min
    Consulting and service fees: selling expertise Read now
    1 min
    Donations and crowdfunding: community support Read now
    1 min
    Section summary Read now
    1 min
  • 6. Intro to pricing analytics
    8 Lessons 15 Min

    What is pricing analytics? You will learn about a structured approach to pricing.

    Section introduction Read now
    1 min
    Unraveling the basics of pricing Read now
    1 min
    From production costs to net revenue
    2 min
    Why pricing is important
    2 min
    Price elasticity of demand
    2 min
    The 5 Cs of pricing Read now
    3 min
    Key pricing strategies Read now
    3 min
    Section summary Read now
    1 min
  • 7. Intro to customer success analytics
    11 Lessons 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.

    Section introduction Read now
    1 min
    Customer success and its importance Read now
    2 min
    Key components of customer success Read now
    3 min
    Net Promoter Score (NPS) Read now
    2 min
    How to implement a customer success strategy Read now
    4 min
    The importance of customer success feedback analysis Read now
    2 min
    Methods for collecting customer feedback Read now
    2 min
    Tools for customer feedback analysis Read now
    1 min
    How to conduct customer feedback analysis Read now
    1 min
    Practical example Read now
    2 min
    Section summary Read now
    2 min

Topics

Revenue AnalyticsPricing AnalyticsCustomer Success AnalyticsTheory

Tools & Technologies

theory

Course Requirements

  • 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.

Who Should Take This Course?

Level of difficulty: Beginner

  • Aspiring business analysts, data analysts, financial analysts, data scientists
  • Current business analysts, data analysts, financial analysts, and data scientists who wish to boost their business acumen
  • Startup founders and entrepreneurs
  • Anyone who wants to improve their business skills

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Exams and certification

Meet Your Instructor

Sudhir Buddhavarapu

Sudhir Buddhavarapu

Founder, freelancer

1 Courses

148 Reviews

1613 Students

Sudhir is an industry veteran with over 15 years of expertise in analytics ranging from high frequency trading, retail, mobile, product, marketing, revenue, customer experience. He has led several successful initiatives in GTM and all aspects of the funnel, especially in subscription based businesses. He has significant experience working in startups and large enterprises. While data analytics is his passion, he is enthusiastic in sharing his knowledge through e-learning courses on multiple platforms. He has a Ph.D. from the University of Southern California and an MBA from Carnegie Mellon University.

See More

What Our Learners Say

Htun Htun
Htun Htun
21.11.2024

365 Data Science Is Featured at

Our top-rated courses are trusted by business worldwide.

Recommended Courses

Introduction to Tableau

Introduction to Tableau

with Ned Krastev
4.8/5
(1,701)
3 hours of content
The Complete Data Visualization Course with Python, R, Tableau, and Excel

The Complete Data Visualization Course with Python, R, Tableau, and Excel

with Elitsa Kaloyanova
4.8/5
(1,302)
10 hours of content
Introduction to Data and Data Science

Introduction to Data and Data Science

with Martin Ganchev, Iliya Valchanov
4.8/5
(15,645)
2 hours of content
Introduction to Business Analytics

Introduction to Business Analytics

with Randy Rosseel
4.8/5
(1,094)
6 hours of content
Data Analysis with Excel Pivot Tables

Data Analysis with Excel Pivot Tables

with Ned Krastev
4.8/5
(4,029)
2 hours of content
SQL

SQL

with Martin Ganchev, Vladimir Saev
4.8/5
(4,405)
11 hours of content
Credit Risk Modeling in Python

Credit Risk Modeling in Python

with Nikolay Georgiev
4.9/5
(391)
8 hours of content
Python Programmer Bootcamp

Python Programmer Bootcamp

with Giles McMullen-Klein
4.8/5
(3,276)
20 hours of content
SQL + Tableau + Python

SQL + Tableau + Python

with Martin Ganchev
4.8/5
(441)
5 hours of content
Statistics

Statistics

with Iliya Valchanov
4.8/5
(5,203)
5 hours of content
Mathematics

Mathematics

with Iliya Valchanov
4.8/5
(2,536)
1 hour of content
Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process

Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process

with Ken Jee
4.8/5
(778)
4 hours of content
SQL + Tableau

SQL + Tableau

with Martin Ganchev
4.8/5
(735)
5 hours of content
Time Series Analysis with Python

Time Series Analysis with Python

with Viktor Mehandzhiyski
4.8/5
(501)
7 hours of content
Power BI

Power BI

with Dimitar Shutev
4.8/5
(2,887)
8 hours of content
Product Management for AI & Data Science

Product Management for AI & Data Science

with Danielle Thé
4.8/5
(673)
6 hours of content
Git and GitHub

Git and GitHub

with Giles McMullen-Klein
4.7/5
(2,073)
1 hour of content
Deep Learning with TensorFlow 2

Deep Learning with TensorFlow 2

with Iskren Vankov, Iliya Valchanov
4.8/5
(901)
5 hours of content
Web Scraping and API Fundamentals in Python

Web Scraping and API Fundamentals in Python

with Andrew Treadway, Nikola Pulev
4.8/5
(512)
4 hours of content
Introduction to Python

Introduction to Python

with Martin Ganchev
4.8/5
(4,484)
2 hours of content
Python for Finance

Python for Finance

with Martin Ganchev, Ned Krastev
4.8/5
(411)
6 hours of content
Machine Learning in Python

Machine Learning in Python

with Iliya Valchanov
4.8/5
(1,488)
7 hours of content
Advanced Microsoft Excel

Advanced Microsoft Excel

with Ned Krastev, Martin Ganchev
4.8/5
(2,037)
3 hours of content
Convolutional Neural Networks with TensorFlow in Python

Convolutional Neural Networks with TensorFlow in Python

with Nikola Pulev, Iskren Vankov
4.8/5
(510)
4 hours of content
Data Strategy

Data Strategy

with Bernard Marr
4.8/5
(3,148)
6 hours of content
Fashion Analytics with Tableau

Fashion Analytics with Tableau

with Elitsa Kaloyanova
4.8/5
(243)
3 hours of content
SQL for Data Science Interviews

SQL for Data Science Interviews

with Tina Huang
4.8/5
(759)
2 hours of content
AI Applications for Business Success

AI Applications for Business Success

with Horia Mărgărit
4.7/5
(351)
2 hours of content
Linear Algebra and Feature Selection

Linear Algebra and Feature Selection

with Aleksandar Samsiev, Ivan Manov
4.7/5
(353)
3 hours of content
Machine Learning with Naïve Bayes

Machine Learning with Naïve Bayes

with Hristina Hristova
4.8/5
(713)
2 hours of content
Machine Learning in Excel

Machine Learning in Excel

with Ivan Kitov
4.9/5
(532)
7 hours of content
Machine Learning with Support Vector Machines

Machine Learning with Support Vector Machines

with Elitsa Kaloyanova
4.8/5
(580)
1 hour of content
A/B Testing in Python

A/B Testing in Python

with Anastasia Kuznetsova
4.7/5
(602)
3 hours of content
Machine Learning with Decision Trees and Random Forests

Machine Learning with Decision Trees and Random Forests

with Nikola Pulev
4.8/5
(640)
1 hour of content
Machine Learning with K-Nearest Neighbors

Machine Learning with K-Nearest Neighbors

with Hristina Hristova
4.8/5
(603)
1 hour of content
Machine Learning with Ridge and Lasso Regression

Machine Learning with Ridge and Lasso Regression

with Ivan Manov
4.8/5
(334)
1 hour of content
Data-Driven Business Growth

Data-Driven Business Growth

with Davis Balaba, Tina Huang
4.7/5
(348)
4 hours of content
Corporate Strategy

Corporate Strategy

with Valentina Bogdanova
4.8/5
(255)
2 hours of content
Marketing Strategy

Marketing Strategy

with Valentina Bogdanova
4.8/5
(181)
2 hours of content
Negotiation

Negotiation

with Valentina Bogdanova
4.9/5
(123)
1 hour of content
Management

Management

with Valentina Bogdanova
4.9/5
(44)
1 hour of content
Persuasion and Influence

Persuasion and Influence

with Valentina Bogdanova
4.8/5
(53)
1 hour of content
Excel for Project Management

Excel for Project Management

with Ivan Vaptsarov
4.8/5
(63)
1 hour of content
Agile and Scrum Project Management

Agile and Scrum Project Management

with Ivan Vaptsarov
4.8/5
(65)
1 hour of content
Project Management

Project Management

with Ivan Vaptsarov
4.9/5
(381)
4 hours of content
Blockchain for Business

Blockchain for Business

with Peter Lipovyanov
4.9/5
(351)
5 hours of content
Mastering Key Performance Indicators (KPIs)

Mastering Key Performance Indicators (KPIs)

with Bernard Marr
4.8/5
(486)
3 hours of content
Statistical Tests in Sales and Marketing

Statistical Tests in Sales and Marketing

with Olivier Maugain, Aastik Malhotra, Ivan Manov
4.9/5
(107)
3 hours of content