Cohort 2024 - 1

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

Jasmine Motupalli

Founder + CEO | The Data Love Co.

Customer Data Analytics with R

Gusto

U.S. Army

colorado.gov

West Point AOG

Transform from Novice to Proficient in Elevating Your Ability to Decode Customer Insights and Unlock Data-Driven Success! Value to StudentsGain 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 Overview1. Basic Descriptive Statistics &amp; Sample Sizing2. Confidence Intervals3. Hypothesis Testing4. 2-Sample Statistics (A/B Testing)5. ANOVA (Analysis of Variance) aka Multi-Sample Stats6. Regression Modeling &amp; Analysis

Unlock the Power of Customer Experience Analytics

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

The Application-Focused LearnerTech-savvy data analyst who wants hands-on stats. Bridge theory and practice, master customer analytics.

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

Who is this course for

What you’ll get out of this course

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

Practical Skills in R and Descriptive Statistics

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

In-Depth Understanding of Statistical Inference

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

Expertise in Comparative Analysis

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

Proficiency in Regression Analysis

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

Real-World Applications

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

Critical Thinking and Problem-Solving

Get introduced to the project scenario, RStudio, and basic statistics

Part 1 - The Basics

Learn the key elements of conducting and interpreting hypothesis testing. Conduct A/B Testing and make decisions between two Alternatives.

Part 2 - Hypothesis Testing

Learn how to gain more complex insights between 3+ alternatives. Learn how to build and assess simple, multiple, and non-linear regression models. This will lay a baseline foundation for future work in advanced analytics, machine learning, and other predictive modeling.

Part 3 - Advanced Analytics

Course Syllabus

What people are saying

Meet your instructor

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

Monday - Friday

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

Tuesdays and Thursdays

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

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

Interactive and project-based

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

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