Staging environment

Customer Data Analytics with R

4.9 (6)

·

10 Days

·

Cohort-based Course

Learn critical skills to build your confidence in analyzing customer data.

Previously at

Gusto
U.S. Army
colorado.gov
West Point AOG

Course overview

Unlock the Power of Customer Experience Analytics

Transform from Novice to Proficient in Elevating Your Ability to Decode Customer Insights and Unlock Data-Driven Success!


Value to Students

Gain hands-on R skills, master statistical inference, and become an expert in comparative analysis, regression, and real-world applications. Develop a portfolio showcasing your ability to derive actionable insights from customer data, empowering you to excel in data-driven roles and elevate your career in customer experience analytics.


Topic Overview

1. Basic Descriptive Statistics & Sample Sizing

2. Confidence Intervals

3. Hypothesis Testing

4. 2-Sample Statistics (A/B Testing)

5. ANOVA (Analysis of Variance) aka Multi-Sample Stats

6. Regression Modeling & Analysis

Who is this course for

01

The Career Pivoter

Operations pro eager to pivot into data analytics. Gain R skills for real-world applications and kickstart a new career!

02

The Application-Focused Learner

Tech-savvy data analyst who wants hands-on stats. Bridge theory and practice, master customer analytics.

03

The Refresher Seeker

Experienced ops manager seeking a stats refresher. Elevate strategic decisions with updated skills in CX data.

What you’ll get out of this course

Practical Skills in R and Descriptive Statistics

  • Gain hands-on experience with RStudio, setting a strong foundation for all types of data analysis in R.
  • Learn to summarize and visualize customer data effectively, making it easier to communicate findings to non-technical stakeholders.

In-Depth Understanding of Statistical Inference

  • Master techniques in single-sample inference, including confidence intervals and sample size determination, crucial for accurate customer data analysis.
  • Develop skills in hypothesis testing, enabling the validation of assumptions or claims about customer behavior and preferences

Expertise in Comparative Analysis

  • Acquire the know-how to conduct A/B testing, essential for evaluating the impact of changes in products or services on customer experience.
  • Understand the principles and applications of ANOVA, empowering you to analyze differences across multiple groups or variables.

Proficiency in Regression Analysis

  • Learn how to use regression models to predict customer behaviors and preferences, an invaluable forecasting and strategy development skill.
  • Understand how to interpret the results of these models in the context of customer experience.

Real-World Applications

  • Engage in hands-on projects and case studies that simulate real-world customer experience scenarios, ensuring the skills learned directly apply to workplace challenges.
  • Begin a portfolio of work that demonstrates your ability to analyze and derive insights from customer data

Critical Thinking and Problem-Solving

  • Cultivate the ability to approach customer data critically by asking the right questions and choosing appropriate statistical methods to find answers.
  • Enhance problem-solving skills for tackling complex business challenges related to customer experience and behavior.

What’s included

Jasmine Motupalli

Live sessions

Learn directly from Jasmine Motupalli in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

3 live sessions • 7 lessons • 3 projects

Week 1

May 7—May 12

    May

    8

    Live Session 2

    Wed 5/810:00 PM—12:00 AM (UTC)

    Part 1 - The Basics

    3 items

    Part 2 - Hypothesis Testing

    3 items

Week 2

May 13—May 16

    May

    13

    Live Session 3

    Mon 5/1310:00 PM—12:00 AM (UTC)

    May

    15

    Live Session 4

    Wed 5/1510:00 PM—12:00 AM (UTC)

    Part 3 - Advanced Analytics

    3 items

Post-course

    Optional: 1-on-1 with the Instructor

    1 item

4.9 (6 ratings)

What students are saying

Jasmine is great and the course is flexible. Highly recommend!

Erin

Cohort 2024 - 4

Researcher

HubSpot

This course was beneficial in learning both the technical skills and practical application of R. The teaching was incredibly effective and thorough, and I feel confident coming out in being able to apply these skills in my work!

Becky

Cohort 2024 - 2

TaxResolution Captain

Gusto

This was a great course to get familiar with R and learn how to practically apply it. Jasmine is a great instructor--she can provide real life examples that help solidify concepts. I left the course more confident in applying these skills in the 'real world'.

Kandy

Cohort 2024 - 1

CX Analytics Lead

Citibank

I thoroughly enjoyed this course. Jasmine not only provided a great data perspective but also included her own examples of the industry and how to apply the concepts taught in the course to our own work. Such a great course whether you are refreshing your skills or wanting to expand your data knowledge. Highly recommend this course!

Ellie or Eliana

Cohort 2024 - 4

Escalations and Quality

Gusto

I am so lucky I was able to take this course with Jasmine! I was nervous beforehand since I had not taken a statistics course since leaving highschool. She understood everyone in class was coming in at a different level and made an effort to meet us where we were. Having a group learning together was super helpful, as well, and I was able to reach out to other students taking the class for questions with homework. Soon after taking the course, I was offered my first job in the data field and I can't wait to apply what I've learned about comparative analysis and regression using R!

Maddy

Cohort 2024 - 2

Tax Operations Analyst

Gusto

This course was super helpful with understanding how to use R and RStudio for data analytics. I really enjoyed Jasmine's clear explanations and examples which helped illustrate the concepts. Highly recommend for digital marketers and anyone who needs a refresher on statistical analysis.

Loree

Cohort 2024 - 1

Executive Coach

LD Max Enterprises

Meet your instructor

Jasmine Motupalli

Jasmine Motupalli

Founder + CEO | The Data Love Co.

  • Results-driven analytics expert with extensive experience in teaching and AI-driven Customer Intelligence.
  • Founder and CEO of The Data Love Co. - Where Data Meets Heart.
  • Former Vice President of CX Data at Gusto.
  • Former Data Scientist and Technical Program Manager at The Pentagon, overseeing analytics for a $10B+ modernization portfolio.
  • Former Assistant Professor of Systems Engineering, directing Engineering Statistics and Business Analytics programs at West Point.
  • Graduate of the Master Teacher Program at West Point.
  • Former Associate Director of The Center for Leadership and Diversity in STEM, directing STEM workshops and earning recognition for substantial volunteer service.
  • Holds an M.S. in Operations Research from GA Tech and a B.S. in Operations Research from West Point.
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Customer Data Analytics with R

Course schedule

7-8 hours

  • Monday - Friday

    2:30pm - 4:00pm MT

    This course will meet for 1.5 hours per day for 5 days.

  • Tuesdays and Thursdays

    4:00pm - 6:00pm MT

    This course will meet for four 2-hour sessions over 2 weeks.

Free resource

A Simple Guide to Measuring Customer Sentiment

In the dynamic landscape of customer service, understanding and harnessing customer sentiment is paramount for success. The Data Love Co. has curated a comprehensive guide to empower your organization with actionable insights into customer satisfaction. Whether you're aiming to enhance your service offerings, streamline operations, or boost customer loyalty, our guide provides a roadmap to navigate the intricate world of customer sentiment data.


Want to learn more? Register for our Customer Analytics Course!

Get this free resource

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

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Customer Data Analytics with R