HomeCoursesMarketing Analytics Using Machine Learning Techniques

Beginner

Marketing Analytics Using Machine Learning Techniques
Save for later

Gain insights into applied machine learning for marketing analytics. Explore data science techniques, create predictive models with Python libraries, and drive results with data-driven decisions.

Join 2.6 million developers at

Table of Contents

Learner Reviews

Related Content

Course Overview

In this course, you’ll learn applied machine learning in marketing analytics and cover modern data science techniques such as data exploration, data preprocessing, feature engineering and evaluation. You’ll gain hands-on experience with the Python libraries pandas, Scikit-learn, and seaborn, and learn how to use them to perform data wrangling, data analysis, create predictive models, and visualize your results. This course will introduce you to basic data manipulation techniques. Further, you’ll cover spec...Show More

In this course, you’ll learn applied machine learning in marketing analytics and cover modern data science techniques such as da...Show More

WHAT YOU'LL LEARN

A working knowledge of using Python libraries such as pandas, scikit-learn, and seaborn for data analysis, visualization, and building machine learning models

An understanding of marketing analytics concepts and applying them in Python

The ability to create and interpret linear regression models for customer revenue prediction

A working knowledge of the K-Means Algorithm and its applications in customer segmentation

An understanding of logistic regression and its use for customer churn prediction

Proficiency in customer lifetime value (CLV) analysis and prediction

A working knowledge of making data-driven decisions and optimizing marketing strategies

A working knowledge of using Python libraries such as pandas, scikit-learn, and seaborn for data analysis, visualization, and building machine learning models

TAKEAWAY SKILLS

Python

Data Manipulation

Course Content

38 Lessons4 Quizzes5 Challenges

Introduction

1 Lessons

Get familiar with essential machine learning skills for marketing analytics, including data exploration, model building, and evaluation.

Getting Started

Data Manipulation

3 Lessons

Get started with data exploration, wrangling, and modeling using pandas for marketing analytics.

Data Exploration

Data Wrangling

Data Modeling

Predicting Customer Revenue

8 Lessons

Examine predicting customer revenue using linear regression, dataset exploration, feature engineering, model building, and evaluation.

Introduction to Linear Regression

Explore the Dataset

Feature Engineering

Relationships Between Dependent and Independent Variables

Model Building and Evaluation

Challenge: Revenue Prediction

Solution: Revenue Prediction

Quiz: Revenue Prediction

Customer Segmentation

9 Lessons

Grasp the fundamentals of customer segmentation via clustering techniques, feature engineering, and PCA.

Introduction to Customer Segmentation

Explore the Dataset

Feature Engineering

Customer Segmentation

Interpreting the Segmentation Result

Dimensionality Reduction with PCA

Challenge: Customer Segmentation

Solution: Customer Segmentation

Quiz: Customer Segmentation

Predicting Customer Churn

9 Lessons

Map out the steps for predicting customer churn using data analysis and machine learning.

Introduction to Customer Churn

Explore the Dataset

Feature Engineering: One-Hot Encoding

Feature Engineering: Remove Redundant Features

Churn Prediction with Logistic Regression

Churn Prediction with Decision Tree

Challenge: Customer Churn

Solution: Customer Churn

Quiz: Customer Churn

Predicting Customer Lifetime Value (CLV)

7 Lessons

Follow the process of analyzing and predicting Customer Lifetime Value using data and machine learning.

Introduction to Customer Lifetime Value

Data Exploration: Monthly Revenue Analysis

Data Exploration: Customer Revenue Analysis

Predict Quarterly Sales with the RFM Model

Challenge: Customer Lifetime Value

Solution: Customer Lifetime Value

Quiz: Customer Lifetime Value

Conclusion

1 Lessons

Learn how to improve marketing strategies using machine learning for predictions and segmentation.

Course Summary

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Asish Biswas

Join 2.6 million learners and start transforming your career today

Looks a bit advance? Start here.

Course

A Practical Guide to Machine Learning with Python

Explore practical coding of basic machine learning models using Python. Gain insights into algorithms like linear regression, logistic regression, SVM, KNN, and decision trees.

72 hours 30 mins

beginner

Course

Learn Python 3 from Scratch

Gain insights into Python 3 basics, from built-in functions to data types and program structures, culminating in a hands-on project. Become a lifelong learner in computing.

6 hours

beginner

Course

Make Your Own Neural Network in Python

Gain insights into building and optimizing neural networks in Python. Delve into fundamental concepts, mathematical explanations, and practical implementations to enhance your machine learning skills.

6 hours

beginner

Course

A Practical Guide to Machine Learning with Python

beginner

72 hour 30 min

Course

Learn Python 3 from Scratch

beginner

6 hour

Course

Make Your Own Neural Network in Python

beginner

6 hour

Trusted by 2.6 million developers working at companies

"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"

Anthony Walker

@_webarchitect_

"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"

Evan Dunbar

ML Engineer

"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."

Carlos Matias La Borde

Software Developer

"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"

Souvik Kundu

Front-end Developer

"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."

Vinay Krishnaiah

Software Developer

"I've tried probably 5-7 different sites and Educative is easily the best. It perfectly blends explanation with interactivity"

Eric Downs

Musician/Entrepeneur

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI-Powered Mock Interviews

Put your skills to the test in a simulated interview setting. Receive personalized feedback based on your performance. Available in Premium & Premium Plus plans.

Adaptive Learning

At various checkpoints throughout Educative courses, you will be prompted to take a quick assessment. Receive a condensed curriculum tailored to your strengths and skill gaps.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

Course

Fundamentals of Machine Learning for Software Engineers

Explore machine learning's essentials for software engineers, delve into supervised learning, neural networks, and deep learning, and gain skills to tackle real-world data challenges effectively.

15 hours

beginner

Course

Hands-on Machine Learning with Scikit-Learn

Gain insights into Scikit-Learn's datasets, feature engineering, linear/logistic regression, and unsupervised learning. Delve into k-means clustering and neural networks to enhance your machine learning expertise.

5 hours

intermediate

Course

Mastering Data Analysis with Python Pandas

Gain insights into using Python Pandas for efficient data analysis and manipulation. Delve into detailed functions, parameters, and methods to elevate your data handling skills.

2 hours 25 mins

beginner

Course

Fundamentals of Machine Learning for Software Engineers

beginner

15 hour

Course

Hands-on Machine Learning with Scikit-Learn

intermediate

5 hour

Course

Mastering Data Analysis with Python Pandas