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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

Data Science for Business Decision Making course is being imparted by Emeritus and Alliance Manchester Business School to help the learners understand the various concepts of data science. It aims to provide the participants with fundamental data science skills to resolve their real-world business problems.

Through this course, the participants will be trained in basic coding skills, tools, and techniques for assessing and sharing data for data manipulation and implement statistical modelling. They will be given an applied understanding of data science and its use for management and business and practices.

They will learn about the basic commands, data analysis, and functions in the R programming language, predicting prices, sales, classification tools, key programming tools for data evaluation, and visualisation for improving understanding and communication. They will be equipped with the skills to process, model, analyse, and share data. Participants will be able to combine their business expertise with data skills in order to make management decisions and gain better business outcomes while dealing with real-world challenges

The Highlights

100% online course
7 weeks course
4-6 hours of weekly learning
Course certificate by University of Manchester
Digital certificate
14-day money-back guarantee
Course instructors from Alliance Manchester Business School

Programme Offerings

RStudio
quizzes
video lectures

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Alliance Manchester Business School, Manchester

Fee Details for Data Science for Business Decision Making course

Particulars	Amount in Pound
Course fee	£1,480
Early bird rate	£1345

Eligibility Criteria

Certification Qualifying Details

Participants of the Data Science for Business Decision Making certification course will be given a course certificate upon successful completion of the course.

What you will learn

Data science knowledgeKnowledge of Data Visualization

Participants of the Data Science for Business Decision Making certification course will have an understanding of the following topics:

They will understand the fundamental concepts of data science.
They will learn how data science methods can be used for improving business decisions and processes.
They will acknowledge the programming tools for data assessment.
They will grasp the techniques for data visualisation for improved communication.
They will learn the use of data science tools for numeric predictions and performing classifications.
They will grasp the use of data science tools for extracting meaning from text data sources.
They will learn about predictive analytics.
They will understand how to predict positive customer responses to an email campaign.

Who it is for

Marketing Manager

This course can be pursued by the following candidates:

Mid-career functional managers, analysts, and consultants.
Professionals working in massive data stream industries such as retail, IT, healthcare, marketing, and finance.

Professionals having the following roles shall be well suited for this course:

President
Owner
Project Manager
Sales Manager
Operations Manager
Risk Manager
Marketing Manager
Consultant
Principal Consultant
Management Consultant

Application Details

Candidates should follow the given steps to register for the Data Science for Business Decision Making course:

Step 1: Candidates can click on the URL to visit the official course website https://execed.alliancembs.manchester.ac.uk/data-science/?thank_you=true

Step 2: Select to apply now.

Step 3: Candidates have to create an account to continue with registration.

Step 4: Click on the start application and provide the requisite details.

Step 5: Select the payment method and pay the course fees to start learning.

The Syllabus

Loading data files
Basic data analysis
Saving with script files
Getting started in r
Vectors and data frames

Basic and advanced
Scatterplots
Basic line plots
Hotspot street maps
Heatmaps

Making predictions
Experts
Understanding the model
Comparing the model to the
Linear regression in r

Roc curves
Thresholding
Logistic regression in r
Interpreting the models

Hierarchical clustering in r
The value of recommendation systems

Pre-processing in r
Predicting sentiment
Bag of words in r

Alliance Manchester Business School, Manchester Frequently Asked Questions (FAQ's)

1: Who will instruct the course?

The course instructor is Dr. Panagiotis Sarantopoulos, a lecturer in Marketing at Alliance Manchester Business School, University of Manchester.

2: Which industry examples are included in the course?

Industry examples of brands and global organisations such as the World Health Organization, Netflix, and Twitter will be given through the course.

3: Is there a refund policy?

In case the participants are not satisfied with the course, within 14 days, of course, starting they can contact the officials and avail a refund.

4: How do I contact the support team of Emeritus?

Participants can contact the support team via email at nyu@emeritus.org or by calling on +13158710015.

5: How is the certificate provided?

After course completion, participants will be issued a digital certificate in their legal name and it shall be emailed to the participants at no additional cost.

6: How is the course conducted?

The course will be conducted through hands-on programming demonstrations in RStudio, video lectures, readings, quizzes, and peer discussions.

7: What is the Executive Education Network?

Through the executive education network, participants will be given information about new programme launches, top-class speaker events, and a wide network of peers.

8: What is the playbook?

Participants have to reflect on what they learn every week and figure out the next steps on how that concept can be implemented in their business situations.

9: How can I speak to a programme advisor?

Participants can schedule a call with the advisor or call them on +44 1618507164 to speak with them.