Data Science for Marketing Analytics Training

Level: Intermediate

This data science for marketing analytics course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters of this marketing analytics course, you'll explore ways to evaluate and select the best segmentation approach and go on to create a linear regression model on customer value data to predict lifetime value.

In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modelling customer product choices.

Key Features of this Data Science for Marketing Analytics Training:

  • After-course instructor coaching benefit

You Will Learn How To:

  • Work with a raw data set.
  • Segment and model a population.
  • Build your own marketing reporting and interactive dashboards.

Choose the Training Solution That Best Fits Your Individual Needs or Organisational Goals


In Class & Live, Online Training

  • 3-day instructor-led training course
  • One-on-one after-course instructor coaching
  • Pay later by invoice -OR- at the time of checkout by credit card
View Course Details & Schedule

Standard £1195




Team Training

  • Bring this or any training to your organisation
  • Full - scale program development
  • Delivered when, where, and how you want it
  • Blended learning models
  • Tailored content
  • Expert team coaching

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In Class & Live, Online Training

Note: This course runs for 3 Days

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Data Science for Marketing Analytics Training Information

  • Who Should Attend

    Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary

Data Science for Marketing Analytics Training Outline

  • Lesson 1: Data Preparation and Cleaning

    • Data Models and Structured Data
    • Pandas
    • Data Manipulation
  • Lesson 2: Data Exploration and Visualisation

    • Identifying the Right Attributes
    • Generating Targeted Insights
    • Visualising Data
  • Lesson 3: Unsupervised Learning: Customer Segmentation

    • Customer Segmentation Methods
    • Similarity and Data Standardization
    • k-means Clustering
  • Lesson 4: Choosing the Best Segmentation Approach

    • Choosing the Number of Clusters
    • Different Methods of Clustering
    • Evaluating Clustering
  • Lesson 5: Predicting Customer Revenue Using Linear Regression

    • Understanding Regression
    • Feature Engineering for Regression
    • Performing and Interpreting Linear Regression
  • Lesson 6: Other Regression Techniques and Tools for Evaluation

    • Evaluating the Accuracy of a Regression Model
    • Using Regularization for Feature Selection
    • Tree-Based Regression Models
  • Lesson 7: Supervised Learning: Predicting Customer Churn

    • Classification Problems
    • Understanding Logistic Regression
    • Creating a Data Science Pipeline
  • Lesson 8: Fine-Tuning Classification Algorithms

    • Support Vector Machine
    • Decision Trees
    • Random Forest
    • Preprocessing Data for Machine Learning Models
    • Model Evaluation
    • Performance Metrics
  • Lesson 9: Modelling Customer Choice

    • Understanding Multiclass Classification
    • Class Imbalanced Data

Team Training

Data Science for Marketing Analytics FAQs

  • Can I take this data marketing analytics course online?

    Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.

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