Latest Courses
Statistical Decision Making in Data Science with Case StudyCheck course
SQLite Studio Tutorial for beginnersCheck course
Editor X Masterclass - Build Amazing Websites | No CodingCheck course
C++ Intermediate to Advanced Course with ProjectCheck course
Algorithms in Python : Design Techniques And ApproachCheck course
Learn Advanced AI for Games with Behaviour TreesCheck course
Bootstrap Bootcamp (featuring Bootstrap 5)Check course
SQL Essentials - A Whole New Way of Learning SQL for Anyone!Check course
Unreal Engine 5: Blueprints for BeginnersCheck course
Azure Functions MasterclassCheck course
Statistical Decision Making in Data Science with Case StudyCheck course
SQLite Studio Tutorial for beginnersCheck course
Editor X Masterclass - Build Amazing Websites | No CodingCheck course
C++ Intermediate to Advanced Course with ProjectCheck course
Algorithms in Python : Design Techniques And ApproachCheck course
- 86% Data Science for Marketing Analytics

Data Science for Marketing Analytics

$12.99Track price

Add your review
Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare
8.3/10 (Our Score)
Product is rated as #178 in category Data Science

Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments.

The 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, 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 modeling customer product choices.

By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions.

About the Author

Tommy Blanchard earned his Ph.D. from the University of Rochester and did his postdoctoral training at Harvard. Now, he leads the data science team at Fresenius Medical Care North America. His team performs advanced analytics and creates predictive models to solve a wide variety of problems across the company.

Instructor Details

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work. With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now. From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer. Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.

Specification: Data Science for Marketing Analytics

Duration

4.5 hours

Year

2019

Level

Beginner

Certificate

Yes

Quizzes

Yes

7 reviews for Data Science for Marketing Analytics

3.0 out of 5
1
1
2
3
0
Write a review
Show all Most Helpful Highest Rating Lowest Rating
  1. Radhe Mohapatra

    very deep explanation and clear understanding

    Helpful(0) Unhelpful(0)You have already voted this
  2. Diliara Khannanova

    Some lessons use methods are not clarified enough. For newbie in the data analysis it is necessary to get more detailed information for methods like PCA. No responses to questions that was arised for particular exercises.

    Helpful(0) Unhelpful(0)You have already voted this
  3. Garima Soni

    voice is not very clear

    Helpful(0) Unhelpful(0)You have already voted this
  4. Udi Menkes

    Was overall good but expected more domain specific real cases for marketing data. Also the relation between the exercises and activities should be described

    Helpful(0) Unhelpful(0)You have already voted this
  5. Sumukh Mysore

    I have not fully formed opinion yet, waiting to get a fuller perspective

    Helpful(0) Unhelpful(0)You have already voted this
  6. Andrew Swimm

    It moves way to fast with the code so it is impossible to code along

    Helpful(0) Unhelpful(0)You have already voted this
  7. Anis Bouderbala

    Good tutoring

    Helpful(0) Unhelpful(0)You have already voted this

    Add a review

    Your email address will not be published. Required fields are marked *

    This site uses Akismet to reduce spam. Learn how your comment data is processed.

    Data Science for Marketing Analytics

    $12.99

    Price tracking

    Java Code Geeks
    Logo
    Register New Account
    Reset Password
    Compare items
    • Total (0)
    Compare