Get updates on Eligibility, Admission, Placements Fees Structure
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
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
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