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Microcredential

Data Analytics for Decision Making

Queen Mary University of London via FutureLearn Program

Overview

Learn the fundamental principles of data analytics, working through practical programming exercises in Python to solve basic data analytic problems alongside world-leading experts.

Get data analytics training that matters

From transport to healthcare to shopping, everyday activities are increasingly leaving digital footprints that are transforming the workplace. Data analytics is the study of this ‘big data’.

While the world is becoming ever more data-driven, many employers are increasingly searching for people with the analytical skills who can help them make sense of it by gaining insights and knowledge from the datasets that are generated around us. This is where data scientists come in.

Are data analytics jobs in demand?

Demand for workers with specialist data skills like data scientists and data engineers has more than doubled over five years (+231%) and demand shows no sign of slowing down. This is a highly in-demand jobs market, with new roles opening all the time.

Boost your data science career potential

Alongside world-class computer science experts from Queen Mary, on this microcredential you’ll learn the process for collating and cleansing data. You’ll discover how to interpret and communicate data to others and gain valuable insights to inform your decision-making process.

You’ll also explore the essential ethical and legal issues that need to be considered when generating, analysing, and disseminating data.

Gain data analytics certification

Ultimately, you’ll come away with the accredited skills you need to apply for roles as a data scientist, or to enhance your current organisation’s capacity to interpret and manage data to solve complex problems and predict future trends.

Syllabus

Courses under this program:
Course 1: Data Analytics Fundamentals
-This course will cover key topics like ‘What does a data scientist do?’ and ‘How can I look at my data in different ways?’.

Course 2: Machine Learning Techniques
-This course will cover key topics like ‘What is Machine Learning’ and ‘How can we formulate Machine Learning problems?’.

Course 3: Data Science Ethics
-Explore the key ethical and legal issues as well as challenges that you might face when working on a data science project.

Taught by

Bhusan Chettri, Jesus Requena and Usman Naeem

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