Become a Citizen Data Scientist : Marketing perspective

Understand your customer : Profiling, Segmentation, Targeting and Recommendation using Microsoft Azure ML, SQL, Power BI
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  • Lectures 33
  • Length 1.5 hours
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
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    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 6/2016 English

Course 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.

What are the requirements?

  • No specific requirements

What am I going to get from this course?

  • 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

What 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.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction
02:27

Let's start the ride.

01:54

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

03:49

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.

Section 2: Lay the foundation
00:47

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

02:23

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

01:59

Presentation of the CRIS-DM Data Science Process.

02:16

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.

Article

Setup the lab environment.

01:13

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

02:36

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

Quiz 1
5 questions
Section 3: Explore
01:23

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

00:55

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

Article

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

04:44

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

13:49

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.

09:31

Our second hands-on Lab

5 questions

To review what you have learning in the EXPLORE section

Section 4: Segment
00:51

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

02:33

The concept behind customer segmentatio

Article

How to build a managerial segmentation

00:44

Our third hands-on Lab.

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

4 questions

To review what you have learning in the SEGMENT section

Section 5: Target
00:59

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

02:26

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

Article

The most fundamental concept to understand when building classification model.

01:13

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

14:59

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.

03:14

Model Deployment

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

10 questions

To review what you have learning in the TARGET section

Section 6: Recommend
00:49

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

01:48

The basics concepts about recommendation system.

03:04

An example of movies rating.

12:52

Our fifth hands-on Lab.

Model building.

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

04:23

Model Deployment.

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


3 questions

To review what you have learning in the RECOMMEND section

Section 7: Conclusion
01:42

Takeaway and Next steps

Resources
Article

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Instructor Biography

Mohamed Jendoubi, 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.

 

 

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