Customer Churn: Predictive Analytics

-- viewing now

The Customer Churn: Predictive Analytics certificate course is a valuable program that teaches learners how to predict and reduce customer churn using data analysis and machine learning techniques. This course is crucial in today's industry, where customer retention is a critical success factor for businesses.

4.0
Based on 6,365 reviews

5,527+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

About this course

With the increasing demand for professionals with skills in predictive analytics, this course provides learners with the essential skills needed for career advancement. Learners will gain hands-on experience with industry-standard tools and techniques such as data visualization, statistical modeling, and machine learning algorithms. Upon completion of the course, learners will be able to apply their skills to real-world business scenarios, making them highly sought after in various industries, including marketing, finance, and technology. By enrolling in this course, learners will not only enhance their analytical skills but also increase their marketability and competitiveness in the job market.

100% online

Learn from anywhere

Shareable certificate

Add to your LinkedIn profile

2 months to complete

at 2-3 hours a week

Start anytime

No waiting period

Course details

Introduction to Customer Churn: Defining churn, understanding its impact on business, and the importance of predictive analytics. • Data Collection and Preparation: Identifying and gathering relevant data, data cleaning, and preprocessing. • Feature Engineering: Creating meaningful features to improve predictive models. • Understanding Churn Metrics: Calculating churn rate, retention rate, and other key metrics. • Supervised Learning Algorithms: Implementing logistic regression, decision trees, random forests, and support vector machines for churn prediction. • Unsupervised Learning Algorithms: Applying clustering, anomaly detection, and association rules for churn analysis. • Model Evaluation: Comparing model performance using metrics such as accuracy, precision, recall, F1 score, and area under the ROC curve. • Time Series Analysis: Identifying trends, seasonality, and cycles in churn data. • Deploying Predictive Models: Integrating churn prediction models into business workflows and monitoring their performance.

Career path

The provided code creates a 3D Pie chart using Google Charts to visualize the job market trends for professionals in the predictive analytics field in the UK. The chart features four primary roles related to customer churn predictive analytics: Data Scientist, Data Analyst, Business Intelligence Developer, and Machine Learning Engineer. The roles are displayed in a 3D pie chart format, making it visually appealing and easy to understand. The chart is fully responsive, adapting to all screen sizes with a width set to 100%. The height is set to 400px, providing ample space for the chart to display clearly. Additionally, the chart has a transparent background and no added background color, ensuring it blends seamlessly with the webpage's design. The JavaScript code uses the google.visualization.arrayToDataTable method to define the chart data, sets the is3D option to true for a 3D effect, and draws the chart using the chart.draw method. The resulting chart is engaging, informative, and an excellent addition to any webpage or application focused on predictive analytics job market trends in the UK.

Entry requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

Why people choose us for their career

Loading reviews...

Frequently Asked Questions

What makes this course unique compared to others?

How long does it take to complete the course?

What support will I receive during the course?

Is the certificate recognized internationally?

What career opportunities will this course open up?

When can I start the course?

What is the course format and learning approach?

Course fee

MOST POPULAR
Fast Track GBP £140
Complete in 1 month
Accelerated Learning Path
  • 3-4 hours per week
  • Early certificate delivery
  • Open enrollment - start anytime
Start Now
Standard Mode GBP £90
Complete in 2 months
Flexible Learning Pace
  • 2-3 hours per week
  • Regular certificate delivery
  • Open enrollment - start anytime
Start Now
What's included in both plans:
  • Full course access
  • Digital certificate
  • Course materials
All-Inclusive Pricing • No hidden fees or additional costs

Get course information

We'll send you detailed course information

Pay as a company

Request an invoice for your company to pay for this course.

Pay by Invoice

Earn a career certificate

Sample Certificate Background
CUSTOMER CHURN: PREDICTIVE ANALYTICS
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
SSB Logo

4.8
New Enrollment