The Data Love Co

Cohort 2024 - 1

Cohort 2024 - 2

Cohort 2024 - 3

Cohort 2024 - 4

Data scientists who apply statistical and ML techniques to extract insights from data.

Using data and metrics to measure performance, run experiments, and inform decisions.

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

Jasmine Motupalli

Founder + CEO | The Data Love Co.

Customer Data Analytics with R

Researcher

Escalations and Quality

TaxResolution Captain

Tax Operations Analyst

CX Analytics Lead

Executive Coach

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

Course Syllabus

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

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>

Learn directly from The Data Love Co

The Data Love Co

Courses

Customer Data Analytics with R

Resources

A Simple Guide to Measuring Customer Sentiment