Become a Citizen Data Scientist - Marketing perspective
- Development
- Apr 17, 2025

Become a Citizen Data Scientist : Marketing perspective, available at $19.99, has an average rating of 3.8, with 33 lectures, 5 quizzes, based on 46 reviews, and has 2385 subscribers.
You will learn about Prepare data using SQL Understand the main conceptions of classification models Construct a customer dashboard using Power BI Create a segmentation model using SQL Build a targeting model using Azure ML Build a recommendation system using Azure ML This course is ideal for individuals who are The course is for you if you have solid business knowledge as Business Analyst, Marketer, manager or analytical mindset regardless in which department you have been working or This course may not be for you if you are looking for an in-depth discussion of the deeper mathematical and statistical theories behind the data science algorithms. It is particularly useful for The course is for you if you have solid business knowledge as Business Analyst, Marketer, manager or analytical mindset regardless in which department you have been working or This course may not be for you if you are looking for an in-depth discussion of the deeper mathematical and statistical theories behind the data science algorithms.
Enroll now: Become a Citizen Data Scientist : Marketing perspective
Summary
Title: Become a Citizen Data Scientist : Marketing perspective
Price: $19.99
Average Rating: 3.8
Number of Lectures: 33
Number of Quizzes: 5
Number of Published Lectures: 33
Number of Published Quizzes: 5
Number of Curriculum Items: 38
Number of Published Curriculum Objects: 38
Original Price: $84.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Become a Citizen Data Scientist is an introductory course take your skills to the next level
Throughout the course, you will learn the basics concepts in order to understand and apply advanced analytics, …,
You will engage in 5 hands-on labs for creating advanced models ….
Because our goal is to get you up to speed as quickly as possible, we’ll cover through the 30?lectures,
The ultimate course purpose is to unleash the potential of data science for your career and your organization
The course will enable you to extract actionable insight from your customers’ data
?
According to a Mckinsey Study, demand for data scientists is projected to exceed supply by more than 50% by 2018. That’s the gap you as citizen Data Scientists are going to fill
Citizen data scientist are “Business people with the right attitude – curious, adventurous, determined – to research and improve things in the organization” SAS
The need is so, that according to Gartner, by 2017, the number of citizen data scientists will grow 5 times faster than the number of highly skilled data scientists.
?
This course is designed for business professionals:? marketer, manager and analytical minds in every department … who want to take their skills to the next level.
If you have solid business knowledge, curious, determined to improve things in your company or just willing to learn new methods and tools than this course is for you….
The course may not be for you if you are looking for an in-depth discussion of the deeper mathematical and statistical theories behind the data science algorithms.?
You will learn the main concepts of data science such as Data mining Process, Machine learning, and classification model
You will be introduced to a Marketing framework analysis based on 4 elements: EXPLORE, SEGMENT, TARGET AND RECOMMEND.
You will learn the basics of three tools: SQL, Power BI, and Microsoft Azure ML.
You will be able to test and practice all these skills through 5 Quizzes and 5 hands-on Labs: Data Preparation using SQL, Customer Dashboard using POWER BI, managerial segmentation with SQL, targeting and recommendation models using Microsoft Azure ML Studio.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome to the course
Lecture 2: Set the expectations
Lecture 3: Introduction : Citizen Data Scientist
Chapter 2: Lay the foundation
Lecture 1: Introduction
Lecture 2: Definitions
Lecture 3: Data Science Process
Lecture 4: Data Science Toolbox
Lecture 5: Setup the Lab Environment : Tools & Data
Lecture 6: Microsoft Azure Machine Learning
Lecture 7: Marketing Framework Analysis
Chapter 3: Explore
Lecture 1: Explore : Introduction
Lecture 2: Case study : Adventure Works
Lecture 3: SQL Basics
Lecture 4: Install Adventure Works Database
Lecture 5: Lab 1 : Data preparation using SQL
Lecture 6: Lab 2 : Customer Dashboard using Power BI
Chapter 4: Segment
Lecture 1: Introduction
Lecture 2: Types of segmentation
Lecture 3: Managerial Segmentation
Lecture 4: Lab 3 : Managerial segmentation using SQL
Chapter 5: Target
Lecture 1: Introduction
Lecture 2: Classification Model : the Basics
Lecture 3: Classification fundamental concept : Bias-Variance Tradeoff
Lecture 4: Overview Diagram of Azure Machine Learning Studio
Lecture 5: Lab 4 : Bike Buyers targeting using Azure ML – Part 1
Lecture 6: Lab 4 : Bike Buyers targeting using Azure ML – Part 2
Chapter 6: Recommend
Lecture 1: Recommendation: Introduction
Lecture 2: Recommendation System: Definition and types
Lecture 3: Recommendation System: How it works
Lecture 4: Lab 5 : Next Best Offer using Azure ML – Part 1
Lecture 5: Lab 5 : Next Best Offer using Azure ML – Part 2
Chapter 7: Conclusion
Lecture 1: Wrap up
Lecture 2: Resources
Instructors

Mohamed Jendoubi
Data Scientist, Founder of uluumy
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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