Introduction to Predictive Analytics

Dr Johannes De Smedt, Sofia Varypati, EdinburghX

In the age of Big Data, businesses need predictive analysts to help them excel against competitors. Take a deep-dive into the first steps of the predictive analytics process.

The prevalence of data within companies allows business analysts to adopt a range of predictive modelling algorithms, enabling them to analyse aspects of the business such as customer churn and sales forecasting. As a predictive analyst, you will help answer key questions such as:

  • What customer audiences should we target?
  • Which brands are working particularly well?
  • Was our marketing campaign successful? 
This course introduces you to the full lifecycle of building a predictive model, from eliciting the question, to preparing the data, and finally building the first model. All this will be illustrated and put into practice, step by step, using Python. 
 
Interpreting a business case and transforming it into a predictive model can be challenging. It requires an analyst to understand its inner workings and the ways data can offer new insights. Getting a firm grasp on the different types of predictive models available, and what data requirements they have, allows analysts to make confident predictions in the appropriate situations. 
 
You will explore the data discovery process in full detail, discovering how we can make a connection between the predicting and predicted variables that are in the picture. You will also learn about key data transformation and preparation issues, which form the backdrop to an introduction in Python. Through analysis of real-life data, you will develop an approach to implement simple linear and logistic regression models.

The assessments in the course focus on customer credit card behaviour, and you will complete a case study on sales volume forecasting.
  
This course is the first in the MicroMasters programme and will prepare you for future courses which dive further into the details of modelling both classification and regression problems with statistical and machine learning methods. All of the methods are framed within the context of case studies, giving you the practical skills needed to begin or advance your career as a predictive analyst.

What will you learn

In this course, you will:

  • Develop an understanding of the predictive analytics process  
  • Learn how to use Python for predictive analytics
  • Learn how to gather data and prepare a dataset for modelling
  • Build predictive models to solve real-world business problems

Dates:
  • 17 September 2019
Course properties:
  • Free:
  • Paid:
  • Certificate:
  • MOOC:
  • Video:
  • Audio:
  • Email-course:
  • Language: English Gb

Reviews

No reviews yet. Want to be the first?

Register to leave a review

Show?id=n3eliycplgk&bids=695438
NVIDIA
More on this topic:
D6fd079b-e8c1-476c-97d9-d7e4bbb1ecc4-49754ce235f3.small Predictive Analytics Final Project
Apply your predictive modelling acumen in a business case setting. The final...
1cac89b9-58b6-4f8b-8cee-0a2f7feded60-9ed0da58fa14.small FA20: Introduction to Analytics Modeling
Learn essential analytics models and methods and how to appropriately apply...
D6b3439e-b8ca-4b80-bb97-24847723b78b-8f7ac6d10e75.small Introduction to Predictive Analytics using Python
Learn the predictive modelling process in Python. Create the insights needed...
7d92ee35-facd-4751-890b-7e0a34c7b08e-bd0092d8df77.small Demand and Supply Analytics
Learn how to use data to develop insights and predictive capabilities to make...
B7b69de4-da99-4291-bc0f-e3b568d78237-b473275d5797.small Business Analytics for Data-Driven Decision Making
Learn how to lead your firm to make better business decisions using analytic...
More from 'Mathematics, Statistics and Data Analysis':
C2750912-8e29-426f-91b8-c03b0dd9ee8f-d3ce8d3f0f02.small Autonomous Mobile Robots
Basic concepts and algorithms for locomotion, perception, and intelligent navigation...
65a295eb-3824-47e5-b6fe-ad881ef42c6b-3915d830c59b.small Predictive Analytics using Machine Learning
Learn how to build predictive models using machine learning. This course will...
D47ddc85-0bf0-41d9-94ff-4fde53a95d1a-d7b491c99677.small Deep Learning Fundamentals with Keras
New to deep learning? Start with this course, that will not only introduce you...
50101caa-3572-4dd7-aa84-01f1d53c8042-e2e6f25d8354.small Deep Learning with Tensorflow
Much of theworld's data is unstructured. Think images, sound, and textual data...
A7660cab-402b-41f5-9a4e-cd5dd1badcd0-7cf26b5a552c.small Using GPUs to Scale and Speed-up Deep Learning
Note: The program that this course is a part of is changing and this course...
More from 'edX':
Acea3daf-ca58-4998-b08c-ba76b97ce78a-1f1dd684c645.small iLabX – The Internet Masterclass
You want to know how the Internet works? You want to fully understand its mechanisms...
3e923ed8-1743-4a60-9871-d9f838937e1e-dcb18aa309cf.small Gender and Intersectionality
Gender intersects with everything. Using examples from popular culture, classical...
C2750912-8e29-426f-91b8-c03b0dd9ee8f-d3ce8d3f0f02.small Autonomous Mobile Robots
Basic concepts and algorithms for locomotion, perception, and intelligent navigation...
73397b09-f425-4c17-9f8c-b6377dd3da37-4a135f73b38e.small The New World of Arnold Schönberg's Piano Music
This course will introduce you to the solo piano works of Arnold Schönberg ...
Dcbce6da-643b-4e20-a996-de702a8d3b66-dec49be1974e.small Developmental Psychology: A Journey of Growth in Relationships
To what extent are we truly aware of the decisive influence of our relationships...

© 2013-2019