Become a Citizen Data Scientist : Marketing perspective
4.4 (19 ratings)
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Become a Citizen Data Scientist : Marketing perspective

Understand your customer : Profiling, Segmentation, Targeting and Recommendation using Microsoft Azure ML, SQL, Power BI
4.4 (19 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
1,805 students enrolled
Created by Mohamed Jendoubi
Last updated 12/2016
English
Current price: $10 Original price: $95 Discount: 89% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 1.5 hours on-demand video
  • 5 Articles
  • 13 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • 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
View Curriculum
Requirements
  • No specific requirements
Description

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 ….

  • Empower yourself with advanced analytics using SQL, Microsoft Azure ML, and Power BI
  • At the end of the course, you’ll be able to prepare data using SQL, create targeting and recommendations models using Microsoft Azure ML and conceive dynamic dashboard using Power BI.” 

Because our goal is to get you up to speed as quickly as possible, we’ll cover through the 30 lectures,

  • Lay the foundations of Citizen Data Science
  • marketing framework analysis.
  • Learn the basics of SQL
  • Understand the main conceptions of classification models
  • Quick start with Microsoft Azure ML
  • Prepare data using SQL
  • 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
  • Test your progression with 5 quizzes

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.

Who is the target audience?
  • 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
  • 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.
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Curriculum For This Course
33 Lectures
01:40:56
+
Introduction
3 Lectures 08:10

Let's start the ride.

Preview 02:27

What is required to taking the course, the targeted audience and the approach we’ll use.

Set the expectations
01:54

The rise of citizen data scientist, the benefits of becoming one and the people inside the company who are capable of holding this new and highly demanded function.

Preview 03:49
+
Lay the foundation
7 Lectures 11:31

In this section, we’re going to lay the foundation. We will present the different topics which we’ll cover in the following lecture.

Preview 00:47

The essential Data Science concepts which we’re going to use throughout the rest of the course.

Definitions
02:23

Presentation of the CRIS-DM Data Science Process.

Preview 01:59

We will introduce you to the set of tools that we will use in this class, SQL for data preparation, Microsoft Azure ML for data Analysis and Power BI for Data Visualization.

Data Science Toolbox
02:16

Setup the lab environment.

Setup the Lab Environment : Tools & Data
00:17

A very short introduction to Azure ML, the Microsoft cloud-based services.

Microsoft Azure Machine Learning
01:13

A Marketing Framework Analysis that we can use as our TRUE NORTH.

Marketing Framework Analysis
02:36

Quiz 1
5 questions
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Explore
6 Lectures 30:33

In this section we’re going to dig into the first component of our framework which is EXPLORE.

Preview 01:23

We will present the database that we’re going to use in the 5 hand-on lab

Case study : Adventure Works
00:55

we will get you up to speed on the basics of SQL

SQL Basics
00:11

You can also follow the step by step installation by downloading the PDF file "Install Adventure Works".

Install Adventure Works Database
04:44

Quick start on SQL Server and then our first hand-on Lab

Downloand and unzip "SQL Scripts" which contains all the SQL Scripts for the different labs.

Explore.sql is to be used for Lab1.

Preview 13:49

Our second hands-on Lab

Lab 2 : Customer Dashboard using Power BI
09:31

To review what you have learning in the EXPLORE section

QUIZ 2
5 questions
+
Segment
4 Lectures 04:19

In this section we’re going to dig into the second component of our Marketing Framework Analysis which is SEGMENT

Preview 00:51

The concept behind customer segmentatio

Types of segmentation
02:33

How to build a managerial segmentation

Managerial Segmentation
00:11

Our third hands-on Lab.

If you have not already done it, download the zip file "SQL Scripts" which contains the script "ManagerialSegmentation.sql"

Lab 3 : Managerial segmentation using SQL
00:44

To review what you have learning in the SEGMENT section

QUIZ 3
4 questions
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Target
6 Lectures 21:41

In this section we’re going to dig into the third component of our framework which is TARGET.

Preview 00:59

We’ll introduce you to the main concepts to know.

Classification Model : the Basics
02:26

The most fundamental concept to understand when building classification model.

Classification fundamental concept : Bias-Variance Tradeoff
00:10

The basic high-level steps that are required to create, test, and deploy a new Azure Machine Learning prediction model 

Overview Diagram of Azure Machine Learning Studio
01:13

Our fourth hands-on Lab.

Model building.

You can download the step by step model building PDF file "Lab 4 Bike Buyer Targeting using Microsoft Azure ML - Part1 - Model"

Download the zip file "CSV Files" which contains all the data you will need for this lab and the next one.

Lab 4 : Bike Buyers targeting using Azure ML - Part 1
13:39

Model Deployment

Download the step by step model deployment PDF file "Lab 5 Next Best Offer using Azure ML - Part2 - Web Service"

Lab 4 : Bike Buyers targeting using Azure ML - Part 2
03:14

To review what you have learning in the TARGET section

QUIZ 4
10 questions
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Recommend
5 Lectures 22:56

In this section we’re going to dig into the fourth component of our framework which is RECOMMEND.

Preview 00:49

The basics concepts about recommendation system.

Recommendation System: Definition and types
01:48

An example of movies rating.

Preview 03:04

Our fifth hands-on Lab.

Model building.

Download the step by step model deployment PDF file "Lab 5 Next Best Offer using Azure ML"

Lab 5 : Next Best Offer using Azure ML - Part 1
12:52

Model Deployment.

Download the step by step model deployment PDF file "Lab 5 Next Best Offer using Azure ML - Part2 - Web Service"


Lab 5 : Next Best Offer using Azure ML - Part 2
04:23

To review what you have learning in the RECOMMEND section

QUIZ 5
3 questions
+
Conclusion
2 Lectures 01:44

Takeaway and Next steps

Wrap up
01:42

Resources
00:02
About the Instructor
Mohamed Jendoubi
4.4 Average rating
19 Reviews
1,805 Students
1 Course
Data Scientist, Founder of uluumy

I'm the founder of Uluumy a Canadian start-up based in Montreal. 

Currently, I'm a Senior Analyst, Business and Client Insight in a Bank

I've been working on advanced analytics for over 10 years mainly in the Financial Sector.

I have a a Master of Science in Business Intelligence from HEC Montreal, a Master in Computer Science from Telecom Bretagne (France) and a degree in Management from HEC Montreal.