Learn Marketing Analytics using Python and Machine Learning

Machine Learning with Python| Work on Real Marketing Analytics Use cases to build your portfolio | Interview Preparation

4.25 (68 reviews)
Udemy
platform
English
language
Data Science
category
Learn Marketing Analytics using Python and Machine Learning
646
students
25.5 hours
content
Oct 2023
last update
$79.99
regular price

What you will learn

Fundamental Concepts of Machine Learning

Master Machine Learning Algorithms and perform hands on sessions

Make powerful Machine Learning Models with SKLEARN and develop robust predictive frameworks

Understand a business problem and relate to an analytical solution

Learn how to convert the analytical insights into a business strategy and communicate the same for maximum impact

Perform hands on projects on Retail Marketing Analytics that can be directly showcased in your resume

Why take this course?

Are you eager to dive into the world of Machine Learning and kickstart your career in Data Science? Do you dream of showcasing your expertise in Retail Marketing Analytics with a compelling project portfolio? Imagine unlocking actionable insights from your machine learning endeavors to boost your resume. Look no further – this course is tailored just for you!

Crafted by a seasoned data scientist, this course is your gateway to mastering Machine Learning concepts and their practical applications in Retail Analytics. Here's what you'll achieve:

  1. Embark on your Data Science journey with confidence, guided by comprehensive learning modules.

  2. Navigate complex theories effortlessly through clear explanations and hands-on Python implementations, enhancing your understanding.

  3. Explore the realm of Marketing Analytics, unraveling its core concepts and methodologies.

  4. Harness your skills by tackling two real-world Machine Learning projects in the Retail Marketing domain, crafting compelling narratives around insights and recommendations.

Structured across ten modules, the course covers:

  1. Fundamentals of Machine Learning

  2. Data Preprocessing

  3. Feature Selection

  4. Clustering Algorithms

  5. Dimensionality Reduction

  6. Regression Algorithms

  7. Classification Algorithms

  8. Model Optimization

  9. Marketing Analytics Concepts

  10. Retail Marketing Analytics Projects

Plus, enrich your learning experience with interactive quizzes interspersed throughout the course, reinforcing your understanding and boosting confidence. All course materials, including codes and datasets, are readily accessible for download.

Join us now to unlock your potential in Machine Learning and Retail Marketing Analytics!

Screenshots

Learn Marketing Analytics using Python and Machine Learning - Screenshot_01Learn Marketing Analytics using Python and Machine Learning - Screenshot_02Learn Marketing Analytics using Python and Machine Learning - Screenshot_03Learn Marketing Analytics using Python and Machine Learning - Screenshot_04

Reviews

Daniel
July 13, 2023
well explained concepts of machine learning modeling with real business projects illustration. The concepts are thouroughly elaborated and made clear. I would recommend this course to anyone interested in machine learning modeling.
Jyothi
April 16, 2023
Course should include some live projects for practise to students, currently all coding and exercise were handy and we should have one live chat session with the trainer at the end of course.
Sumalata
April 16, 2022
Very clearly explained each and every concept using business probelms and outcome of the model is very well analysed.Thank you so much.
José
April 14, 2022
has been clear in all the contents, therefore i can say that this course is fulfilling all my expectations
Gokhan
February 2, 2022
Highly recommended, the training is well structured, details are clearly provided and supported by examples. My suggestion is that if you add a few more topics, I think it would be a great training, like the deployment topic, external data entry, and what CRITERIA should I choose WHICH ML model? it can be explained how to make a decision by making model comparisons and how to encode it. And at the end of each Model narrative, we would appreciate it if the model optimization was explained and added as an additional update.Thank you, It was worth the price I paid.
Abhigyan
December 22, 2021
It was an awesome experience for me in improving, especially my ML skills. Hope to see more such courses in future. Best Wishes.

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3751642
udemy ID
1/5/2021
course created date
1/3/2022
course indexed date
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