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
Created by the Queen Mary University of London, Data Analytics for Decision Making course is designed to help you learn the principles of data analytics. You will be working through programming exercises in Python to solve basic data analytics problems right beside world-leading experts.
As the world is becoming more data-driven, opportunities for individuals with analytical skills are growing. Employers are looking for such people who can make sense of data by gaining knowledge and insights from the datasets generated around us. To that end, the Data Analytics online course has been created for upcoming data scientists.
From healthcare to transport and shopping, Big Data is increasingly making its way into all businesses. Thus, workers with specialist data skills like data engineers and data scientists are highly in demand. The Data Analytics for Decision Making microcredential course will benefit candidates looking to boost their data science careers and gain data analytics certification.
The Highlights
- 12-weeks course
- 15 UK credits
- Postgraduate-level course
- 12 hours per week
- Co-created by Institute of Coding
- Accredited credential
Programme Offerings
- 15 UK academic credits
- Online Classes
- Expert instructors
- Professional credential
- Project-based assessments
- Live broadcasts
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Futurelearn |
- Interested candidates need to pay the Data Analytics fee of Rs 78,074 to enrol into the micro-credential.
- FutureLearn accepts payments made by card (American Express, Visa and Mastercard) or Paypal via their online system.
Data Analytics for Decision Making fee structure
| Course | Fees |
| Data Analytics for Decision Making | Rs 78,074 |
Eligibility Criteria
Education
Data Analytics for Decision Making is a Postgraduate level microcredential. Hence, a candidate who wants to enrol in the course must have completed his/her graduation before. There are no technical prerequisites, except stable internet access and a computer in border to take up Data Analytics certificate course.
Certificate Qualifying Details
To be eligible for the accredited credential of Data Analytics course by FutureLearn, a candidate must complete his/her learning through the course and pass the assessments.
Upon successfully passing the Data Analytics certificate course, the candidate will receive 15 UK academic credits at Postgraduate level from the Queen Mary University of London.
What you will learn
Towards the end of the Data Analytics programme by FutureLearn, the candidate will be able to:
- Use datasets to build Machine Learning models
- Implement the data analytics principles to solve data science issues
- Understand the impacts of data on business, legal, and ethical issues
- Identify the significance of data reliability and data ethics
- Use visualisation techniques to explore data
- Gain an in-depth understanding of the Machine Learning principles and applications
Who it is for
The Data Analytics for Decision Making microcredential course is beneficial for anyone who is looking to become a data scientist or apply for higher-level study in data science. Being a postgraduate level course, it will be good for graduates in computer sciences or related fields of study.
Admission Details
To join the FutureLearn’s Data Science for Decision Making microcredential, just follow these simple steps:
Step 1 – Visit the "Data Science for Decision Making" course web page.
Step 2 – Click on the ‘Join Now’ button. You will be taken to the registration webpage.
Step 3 – Here, sign in if you have an existing Futurelearn account or sign up using your email ID. You can also sign in directly by linking your Google or Facebook account.
Step 4 – A new page asking for eligibility will open. Check eligibility details here. Tick the checkbox and click on ‘Next.
Step 5 – A page with details will be presented to you. Fill in all the required information and click ‘Next.
Step 6 – An ID verification will be conducted now. Upload a valid photo ID matching your details and hit ‘Next’.
Step 7 – Accept declaration and click on the ‘Next button.
Step 8 – At the checkout page, you have to pay the fee for the Data Science online course. Proceed at the end of enrolment by paying the fee securely at the payment gateway.
Application Details
To apply for the Data Analytics for Decision Making programme, candidates should log on to FutureLearn’s official website. And then, they can register for a Data Analytics certificate course by submitting the required details, check his/her eligibility, and pay for the microcredential.
The Syllabus
Week 1: Fundamentals of data science
- Welcome to the course
- What are the basic principles of data analytics?
- Setting up your data environment
- Put it into practice: use Python to analyse data
- Weekly wrap-up
Week 2: Data visualisation insights
- Welcome to Week 2
- How can we visualise data?
- The randomness of data
- Put it into practice: produce your own notebook
- Weekly wrap-up
Week 3: Gaining value from data
- Welcome to Week 3
- How might data drive business decisions?
- Applying data processing techniques to make data valuable
- Put it into practice: telling a story through data
- Weekly wrap-up
Week 4: Revision and assessment preparation
- Welcome to Week 4
Week 1: Introduction to machine learning and regression
- Welcome to the course
- What are the principles of regression?
- Basic regression models
- Exploring model validation
- Weekly wrap-up
Week 2: Classification
- Welcome to Week 2
- What are the principles of classification?
- Basic classification models
- Exploring classification performance
- Weekly wrap-up
Week 3: Clustering
- Welcome to Week 3
- What are the principles of clustering?
- Basic clustering models
- Exploring clustering further
- Weekly wrap-up
Week 4: Revision and assessment preparation
- Welcome to Week 4
Week 1: Data accuracy and validity
- Welcome to the course
- Introduction to data ethics
- Identifying the legal requirements of data use
- Ensuring your data is reliable
- Weekly wrap-up
Week 2: Data analysis ethics
- Welcome to Week 2
- How can I ensure that my data analysis does not infringe on privacy?
- Are there errors in my analysis approach?
- Common fallacies
- Weekly wrap-up
Week 3: Data visualisation ethics
- Welcome to Week 3
- Is there a wrong way to present data?
- Deceptive visualisation techniques
- Ethical principles for visualisations
- Weekly wrap-up
Week 4: Revision and assessment preparation
- Welcome to Week 4
Instructors
Queen Mary University of London, London Frequently Asked Questions (FAQ's)
You can use Data Analytics for Decision Making course’s 15 UK academic credits towards a study on associated computer science masters-level degrees at the Queen Mary University of London, such as MSc Data Analytics, MSc Business Analytics, Media, and Telecommunications Law LLM, etc.
That is not necessary. Microcredentials are designed to fit around your time zone. There are live events and classes as part of your studies, but these are recorded and will be available for you to watch later if you can’t tune in to live broadcast.
You will have a 14-day time to apply for a refund from the day course starts.
No, the Data Analytics for Decision Making microcredential from FutureLearn does not require you to be from the same country where the university offering the course is based. You can take the course from anywhere in the world.
The Data Analytics for Decision Making course by FutureLearn will be instructed by two experts of the field. First is Mr Usman Naeem, who researches within the areas of ubiquitous and pervasive computing. The other instructor is Mr Jesus Requena, who is a Senior Lecturer in Data Analytics and Programme Coordinator of QMUL’s MSc in Big Data Science.