How to become a Data Scientist
A data scientist is responsible for translating raw data into information that solves problems. Using specific tools, a data scientist extracts data from a range of sources, in order to analyse, interpret, and uncover insights.
Data is an incredibly valuable business resource, and organisations are increasingly looking to harness data science to improve their operations. That’s where a data scientist comes in.
The field of data science is focused on discovering the patterns in raw data and using tools, algorithms, and machine learning to turn that data into valuable business insights. A data scientist sits within this field, with a specific focus on not only gathering the data, but studying it from new angles.
A data scientist’s role will vary depending on the organisation and industry, but can encompass everything from data collection and innovative analysis, to building data modelling software and presenting information using state-of-the-art data visualisation techniques.
Working in data science requires creativity, critical thinking and problem-solving skills. You’ll need to be able to take complex data, analyse it and then explain your findings to your colleagues using clear and straightforward language.
What degree is most commonly held by a Data Scientist?
- PhD, Computer Science
- PhD, Data Science
- PhD, Physics
- PhD, Statistics
- PhD, Economics
- PhD, Mathematics
- PhD, Mechanical Engineering
- PhD, Information Technology
- PhD, Chemical Engineering
- PhD, Electrical and Electronics Engineering
- PhD, Applied Mathematics
- PhD, Electrical Engineering
- PhD, Mathematics and Statistics
- PhD, Artificial Intelligence
- PhD, Machine Learning
- PhD, Business Analytics
- PhD, Computer Engineering
- PhD, Finance
- PhD, Engineering
- PhD, Actuarial Science
Career Transportability across Countries
What is the Salary of a Data Scientist?
|Experience||Average salary | year|
|Data Science Director||10 Yrs||$119,268.87||£102,417||$150,098|
What skills are needed to become a Data Scientist?
- Data Analysis
- Machine Learning
- Microsoft Excel
- Data Science
- Microsoft Office
- Data Mining
- Data Visualization
- Project Management
- Statistical Modeling
- Big Data
- Deep Learning
Data Scientist Courses
Data to Insight: An Introduction to Data Analysis and Visualisation
Get a hands-on introduction to data science exploring principles of statistical analysis and data visualisation
Big Data: Measuring And Predicting Human Behaviour
Join us to explore how the vast amounts of data generated today can help us understand and even predict how humans behave
Introduction to Data for Business Leaders
A leadership course that goes beyond the hype surrounding data by focusing on the practicalities of achieving business outcomes
Introduction to R for Data Science
Discover big data work with airline data to learn the fundamentals of the R platform
Data Science in the Games Industry
Learn how the games industry can use big data to enhance the gaming experience and increase profits
Big Data Analytics: Opportunities, Challenges and the Future
We produce more data than ever before Find out how big data analytics can help you make use of it
Data Mining with Weka
Discover practical data mining and learn to mine your own data using the popular Weka workbench
Advanced Data Mining with Weka
Learn how to use popular packages that extend Weka's functionality and areas of application Use them to mine your own data
Managing Big Data with R and Hadoop
Learn how to manage and analyse big data using the R programming language and Hadoop programming framework
Data Scientist Microcredentials
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Data to Insight: An Introduction to Data Analysis and VisualisationGet a hands-on introduction to data science, exploring principles of statistical analysis and data visualisation.Show course overview
Big Data: Measuring And Predicting Human BehaviourJoin us to explore how the vast amounts of data generated today can help us understand and even predict how humans behave.Show course overview
Introduction to Data for Business LeadersA leadership course that goes beyond the hype surrounding data by focusing on the practicalities of achieving business outcomes.Show course overview