Become a Citizen Data Scientist
Marketing Perspective
Regular price
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,
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.
The ultimate course purpose is to unleash the potential of data science for your career and your organization
How to use this course
A message from the instructor
Before we begin...
Set the expectations
Introduction : Citizen Data Scientist
Introduction
Definitions
Data Science Process
Data Science Toolbox
Setup the Lab Environment : Tools & Data
Microsoft Azure Machine Learning
Marketing Framework Analysis
Quiz 1
Introduction
Case study : Adventure Works
SQL Basics
Install Adventure Works Database
Lab 1 : Data preparation using SQL
Lab 2 : Customer Dashboard using Power BI
Quiz 2
Introduction
Types of segmentation
Managerial Segmentation
Lab 3 : Managerial segmentation using SQL
Introduction
Classification Model : the Basics
Classification fundamental concept : Bias-Variance Tradeoff
Overview Diagram of Azure Machine Learning Studio
Lab 4 : Bike Buyers targeting using Azure ML - Part 1
Lab 4 : Bike Buyers targeting using Azure ML - Part 2
Quiz 4