I know that in customer experience, understanding customer data is key to making smarter decisions and improving how we serve people. But let’s face it—getting a handle on customer analytics isn’t always easy. With so much data to look at and new tools constantly coming out, I feel the pressure to keep my skills sharp and stay competitive. That’s why finding the right customer analytics course is so important.
I’ve put together this list of the best courses for building real, practical analytics skills that actually make a difference. Whether you’re already working in CX or hoping to break into the field, these courses will help you learn how to make sense of customer data, spot trends, and use insights to make better decisions.
Best Customer Analytics Courses Shortlist
Here's a shortlist of the best customer analytics courses I think are worth your time in 2024:
- Business Analytics: Customer Analytics (Wharton University of Pennsylvania)
- Digital Customer Analytics (University of Maryland, USMx)
- Customer Analytics in Python (365 Data Science)
- Customer Insights and Analytics (Centennial College)
- Customer Analytics (UBC Sauder)
- Business Analytics Specialization (Wharton University of Pennsylvania)
- Customer Analytics and A/B Testing in Python (DataCamp)
- Predictive Customer Analytics (LinkedIn Learning)
- Customer Analytics Training for Beginners (EDUCBA)
- Customer Behavior Segmentation Analysis (eCornell)
- Applied Business Analytics (MIT Executive Education)
- Customer Analytics in a Digital World (NHH)
- NLP in Customer Analytics and Forecasting (University of Cambridge)
- Marketing Customer Analytics, Segmentation, and Targeting (Udemy)
- Customer Data Analytics for Marketers (University of Colorado System)
- Marketing Analytics Online Course: Strategies for Driving Business Results (Harvard University)
- Advanced Customer Analytics (NUS)
- Customer Insights and Consumer Analytics for Organizations: Concepts (LinkedIn Learning)
Find more details about each course below.
Overview Of The Best Customer Analytics Courses
1. Business Analytics: Customer Analytics (Wharton University of Pennsylvania)
This Wharton University of Pennsylvania course offers insights into how data can improve customer relationship management and business decisions. The analytics program covers practical techniques and real-world applications. Enroll to learn customer-centric strategies for long-term success.
- Who It’s For: Business professionals and data analysts
- Topics Covered:
- Customer lifetime value
- Predictive analytics
- Data-driven decision making
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 5 weeks
- How Many Hours Of Instruction: 5 to 6 hours per week
- Eligibility Requirements: None
- Price: $79 per month
- Take The Course: Wharton University of Pennsylvania
2. Digital Customer Analytics (University of Maryland, USMx)
This course from the University System of Maryland focuses on using big data and metrics to understand and improve customer interactions. It includes practical applications of digital analytics tools and techniques. Participants will also explore methods for optimizing customer experiences and refining business strategies through data-driven insights.
- Who It’s For: Marketing professionals and data analysts
- Topics Covered:
- Web analytics
- Social media analytics
- Customer journey mapping
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 4 weeks
- How Many Hours Of Instruction: 3 to 5 hours per week
- Eligibility Requirements: None
- Price:
- Without certificate: Free
- With certificate: $199
- Take The Course: edX
3. Customer Analytics in Python (365 Data Science)
This course from 365 Data Science teaches how to use Python for customer analytics, including data manipulation, visualization, and predictive modeling. It provides frameworks for applying Python skills to real-world customer data. Participants will also learn how to derive actionable insights to enhance customer satisfaction by analyzing behavior and trends.
- Who It’s For: Data scientists and analysts
- Topics Covered:
- Brief marketing introduction
- Setting up the environment
- Segmentation data
- Online, In-Person, or Both? Online
- Exam Required? Yes
- Duration: 10 hours
- How Many Hours Of Instruction: 10 hours
- Eligibility Requirements:
- Basic knowledge of Python
- Basic skills in statistics, probability, and linear algebra
- Price: $99
- Take The Course: 365 Data Science
4. Customer Insights and Analytics (Centennial College)
This course from Centennial College provides a comprehensive understanding of how to gather and analyze customer data to generate actionable insights. It covers various tools and techniques used in customer analytics. Participants will also learn how to apply these insights to improve decision-making and enhance customer experiences.
- Who It’s For: Marketing professionals and business analysts
- Topics Covered:
- Data collection methods
- Analytical tools
- Insight generation
- Online, In-Person, or Both? Both
- Exam Required? Yes
- Duration: 3 hours
- How Many Hours Of Instruction: 3 hours per week
- Eligibility Requirements: None
- Take The Course: Centennial College
5. Customer Analytics (UBC Sauder)
This course from UBC Sauder covers the fundamentals of customer analytics, including data collection, analysis, and interpretation. It aims to help professionals make data-driven decisions to enhance customer experiences. The course also explores how to leverage customer insights for strategic business growth.
- Who It’s For: Business professionals and data analysts
- Topics Covered:
- Data collection techniques
- Analytical methods
- Data interpretation
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 3 weeks
- How Many Hours Of Instruction: 6 to 10 hours per week
- Eligibility Requirements: None
- Price: $1,095
- Take The Course: UBC Sauder
6. Business Analytics Specialization (The Wharton School of the University of Pennsylvania)
This course from The Wharton School of the University of Pennsylvania includes multiple courses covering various aspects of business analytics, including customer analytics. It offers a deep dive into data analysis techniques and their business applications, with practical exercises using real-world datasets.
- Who It’s For: Business professionals and data analysts
- Topics Covered:
- Descriptive analytics
- Predictive analytics
- Prescriptive analytics
- Online, In-Person, or Both? Online
- Exam Required? Yes
- Duration: 1 month
- How Many Hours Of Instruction: 10 hours a week
- Eligibility Requirements: None
- Price: $79 per month after a 7-day trial
- Take The Course: Coursera
7. Customer Analytics and A/B Testing in Python (DataCamp)
This course from DataCamp teaches how to use Python for customer analytics and A/B testing. It includes practical exercises and real-world examples to help learners apply their skills. By the end, participants will be equipped to analyze customer data, conduct A/B tests, and make informed business decisions based on data-driven insights.
- Who It’s For: Data scientists and analysts
- Topics Covered:
- A/B testing
- Data analysis with Python
- Statistical methods
- Online, In-Person, or Both? Online
- Exam Required? No
- How Many Hours Of Instruction: 4 hours
- Eligibility Requirements:
- Basic knowledge of Python
- Knowledge about data manipulation with pandas
- Price: Free
- Take The Course: DataCamp
8. Predictive Customer Analytics (LinkedIn Learning)
This course from LinkedIn Learning focuses on predictive analytics techniques to forecast customer behavior. It covers various models and tools used in predictive analytics, providing learners with practical knowledge to apply these methods in real-world scenarios and enhance decision-making processes.
- Who It’s For: Marketing professionals and data analysts
- Topics Covered:
- Predictive modeling
- Data analysis tools
- Forecasting techniques
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 1 hour and 36 minutes
- How Many Hours Of Instruction: 1 hour and 36 minutes
- Eligibility Requirements: None
- Price: Free
- Take The Course: LinkedIn Learning
9. Customer Analytics Training for Beginners (EDUCBA)
This beginner-level course from EDUCBA introduces the basics of customer analytics, including data collection, analysis, and interpretation. It is designed for those new to the field, providing a solid foundation for understanding customer data and making informed business decisions.
- Who It’s For: Beginners in customer analytics
- Topics Covered:
- Importance of customer activation
- Basic analytical techniques
- Cross selling and its importance
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 3 hours
- How Many Hours Of Instruction: 3 hours
- Eligibility Requirements: None
- Price: $11.99 (discounted)
- Take The Course: Udemy
10. Customer Behavior Segmentation Analysis (eCornell)
This course from eCornell focuses on customer behavior and segmentation analysis. It teaches how to identify and target different customer segments to improve marketing strategies, while also offering practical tools for enhancing customer engagement and driving business growth.
- Who It’s For: Marketing professionals and business analysts
- Topics Covered:
- Customer segmentation
- Behavioral analysis
- Targeting strategies
- Online, In-Person, or Both? Online
- Exam Required? Yes
- Duration: 2 weeks
- How Many Hours Of Instruction: 5 to 8 hours per week
- Eligibility Requirements:
- Must complete the Leveraging Customers for Growth course
- Must complete the A/B Testing and Analytics course
- Take The Course: eCornell
11. Applied Business Analytics (MIT Executive Education)
This course from MIT Executive Education provides advanced knowledge in business analytics, including customer analytics. It covers various analytical techniques and their applications in business decision-making, equipping professionals with the skills to leverage data for strategic insights and competitive advantage.
- Who It’s For: Senior business professionals and data analysts
- Topics Covered:
- Advanced analytics techniques
- Data-driven decision making
- Business applications
- Online, In-Person, or Both? Both
- Exam Required? Yes
- Duration: 6 weeks
- How Many Hours Of Instruction: 4 to 6 hours per week
- Eligibility Requirements: None
- Price: $2,714
- Take The Course: MIT Executive Education
12. Customer Analytics in a Digital World (NHH)
This course from NHH Norwegian School of Economics explores customer analytics in the context of digital environments. It covers various digital analytics tools and techniques to understand customer behavior online, helping businesses optimize their digital marketing strategies and improve user experience.
- Who It’s For: Marketing professionals and data analysts
- Topics Covered:
- Digital analytics tools
- Online customer behavior
- Data interpretation
- Online, In-Person, or Both? Online
- Exam Required? No
- Eligibility Requirements:
- Basic skills in R programming language and data analysis
- Take The Course: NHH
13. NLP in Customer Analytics and Forecasting (University of Cambridge)
This course from the University of Cambridge focuses on using Natural Language Processing (NLP) in customer analytics. It covers key NLP techniques and their applications in analyzing customer data. Learners will gain skills to extract insights from customer interactions and improve forecasting.
- Who It’s For: Data scientists and analysts
- Topics Covered:
- NLP techniques
- Customer data analysis
- Forecasting methods
- Online, In-Person, or Both? Online
- Exam Required? Yes
- Duration: 6 weeks
- How Many Hours Of Instruction: 6 to 8 hours per week
- Eligibility Requirements: None
- Price: $2,300
- Take The Course: University of Cambridge
14. Marketing Customer Analytics, Segmentation, and Targeting (Udemy)
This course from Udemy covers the basics of customer analytics, including segmentation, targeting, and its applications in product management. It provides practical insights into how to analyze customer data to improve marketing strategies. Learners will also explore real-world examples to apply these concepts effectively in business.
- Who It’s For: Marketing professionals and business analysts
- Topics Covered:
- Customer segmentation
- Data analysis techniques
- Targeting strategies
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 2 hours and 40 minutes
- How Many Hours Of Instruction: 2 hours and 40 minutes
- Eligibility Requirements: None
- Price: $11.99 (discounted)
- Take The Course: Udemy
15. Customer Data Analytics for Marketers (University of Colorado System)
This course from the University of Colorado teaches how to use customer data analytics to improve marketing strategies. It covers various analytical techniques and their applications in marketing. By the end of the course, participants will be able to make data-driven decisions to optimize marketing campaigns and customer engagement.
- Who It’s For: Marketing professionals and data analysts
- Topics Covered:
- Data collection methods
- Analytical techniques
- Marketing applications
- Online, In-Person, or Both? Online
- Exam Required? Yes
- Duration: 23 hours
- How Many Hours Of Instruction: Self-paced
- Eligibility Requirements: None
- Price: $49 per month after a 7-day trial
- Take The Course: Coursera
16. Marketing Analytics Online Course: Strategies for Driving Business Results (Harvard University)
This course from Harvard University provides advanced knowledge in marketing analytics, including customer analytics. It covers various strategies and techniques to drive business results through data analysis. Participants will gain the skills to leverage customer data for more effective marketing and strategic decision-making.
- Who It’s For: Senior marketing professionals and data analysts
- Topics Covered:
- Advanced marketing analytics
- Data-driven strategies
- Business applications
- Online, In-Person, or Both? Online
- Exam Required? Yes
- Duration: 4 consecutive Mondays
- How Many Hours of Instruction: 3.5 hours per session
- Eligibility Requirements: None
- Price: $2,850
- Take The Course: Harvard University
17. Advanced Customer Analytics (NUS)
This course from the National University of Singapore covers advanced topics in customer analytics, including predictive modeling, data visualization, and the use of tools like Excel and Power BI. It is designed for professionals looking to deepen their expertise and apply these techniques to improve decision-making.
- Who It’s For: Data scientists and analysts
- Topics Covered:
- Predictive modeling
- Data visualization
- Advanced analytical techniques
- Online, In-Person, or Both? Both
- Exam Required? Yes
- Duration: 3 days
- How Many Hours Of Instruction: 8 hours per day
- Eligibility Requirements:
- Must complete the Statistics Bootcamp II course
- Knowledge in basic predictive modelling and R/Python
- Price: S$2,700
- Take The Course: NUS
18. Customer Insights and Consumer Analytics for Organizations: Concepts (LinkedIn Learning)
This course from LinkedIn Learning provides an introduction to customer insights, consumer analytics, and machine learning applications. It covers various concepts and techniques used to analyze customer data, conduct market research, and generate actionable insights. Learners will gain practical skills to apply these insights for better business decisions.
- Who It’s For: Marketing professionals and business analysts
- Topics Covered:
- Customer insights
- Data analysis techniques
- Consumer behavior
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 1 hour and 9 minutes
- How Many Hours Of Instruction: 1 hour and 9 minutes
- Eligibility Requirements: None
- Price: Free
- Take The Course: LinkedIn Learning
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