University of Aberdeen - Data Science: From Data to Insight

Offered byFutureLearn

Data Science: From Data to Insight
at
FutureLearn
Overview

Discover the latest data science techniques and learn how to harness big data to make better business decisions

Duration	15 weeks
Start from	26th Jan'26
Total fee	₹1.68 Lakh
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Data Science: From Data to Insight

Table of content

Overview
Highlights
Course Details
Curriculum
Faculty
+ 2 more items

Data Science: From Data to Insight
at
FutureLearn
Highlights

Earn a certificate after completion of the course
Assessment, quizzes and projects
One-to-one careers advice
Interview prep and job opportunities

Data Science: From Data to Insight
at
FutureLearn
Course details

Skills you will learn

Data mining Data analysis Data visualization Data Science

Who should do this course?

This microcredential is designed for anyone wanting to build a base of core skills and knowledge in data science

What are the course deliverables?

Handle large datasets, or ‘big data’

Conduct cluster analysis of data

Identify and understand phenomena captured in structured or unstructured data

Carry out data analysis

Generate data-driven predictions that aid business optimisation

Produce reports based on data analysis

More about this course

In this online microcredential from the University of Aberdeen, you’ll discover the techniques and tools revolutionising how we understand and use data

You’ll explore key areas of the data science discipline, including artificial intelligence (AI) and machine learning

With the skills and expertise you gain through the programme, you’ll be in demand with recruiters across all sectors and professions

Data Science: From Data to Insight
at
FutureLearn
Curriculum

Data analytics

Data mining

Challenges and solutions for large datasets, or ‘big data’

Real-time data analysis

Machine learning

Artificial intelligence

Neural networks

Data classification, pattern-recognition and cluster analysis

Uncertainty quantification

Data visualisation

Data integration models for making predictions and recommendations

Data Science: From Data to Insight
at
FutureLearn
Faculty details

Professor Marco Thiel

Marco is an applied mathematician with a background in theoretical physics and dynamical systems. He works in Applied Mathematics and Physics at the University.