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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

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	Queen Mary University of London, London

Interested candidates need to pay the Data Analytics fee of $1,029 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 Name	Fee
Data Analytics for Decision Making	₹74,319

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

Machine learningData science knowledgeKnowledge of Data Visualization

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

Data Scientist

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

Fundamentals of data science

Overview of the course
What are the basic principles of data analytics?
Practice - use Python to analyse data
Setting up your data environment

Data visualisation insights

How can we visualise data?
The randomness of data
Practice - produce your own notebook

Gaining value from data

Apply data processing techniques to make data valuable
Put it into practice: telling a story through data
How might data drive business decisions?

Revision and assessment preparation

Welcome to Week 4

Introduction to machine learning and regression

Exploring model validation
Basic regression models
What are the principles of regression?

Classification

Exploring classification performance
Basic classification models
What are the principles of classification?

Clustering

What are the principles of clustering?
Exploring clustering further
Basic clustering models

Revision and assessment preparation

Welcome to Week 4

Data accuracy and validity

Introduction to data ethics
Ensuring your data is reliable
Identifying the legal requirements of data use

Data analysis ethics

Are there errors in my analysis approach?
How can I ensure that my data analysis does not infringe on privacy?
Common fallacies

Data visualisation ethics

Deceptive visualisation techniques
Is there a wrong way to present data?
Ethical principles for visualisations

Revision and assessment preparation

Welcome to Week 4

Instructors

Queen Mary University of London, London Frequently Asked Questions (FAQ's)

1: Where can the UK academic credits be used?

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.

2: Will I have to be always available at live sessions regardless of my time zone difference?

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.

3: Can I get my money back if I change my mind?

You will have a 14-day time to apply for a refund from the day course starts.

4: Do I need to be from a specific country to study for this Data Analytics for Decision Making microcredential?

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.

5: Who are my instructors?

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.