Data Science

Data Science is one of the most popular fields in the digital skills space. Whether you are looking to becoming a specialist or looking to broaden your knowledge base in this rapidly growing and interdisciplinary field, this course will enable you to collect, analyse, model, interpret and present data for your organisation or external clients.

Digital Skills Academy
Course Starts:
Course Ends:
Registration Closes:
12 weeks plus final assessment
Effort Per Week:
11 hours
Delivery Mode:
Data Science
Single Payment:
Total fees
Two Instalments:
On purchase
After 5 weeks
Total fees

Course Introduction

The course introduces participants to Data Science concepts, principles of statistical analysis and data interpretation techniques. The course also covers aspects of probability models, data cleaning and manipulation, pattern recognition and learning and statistical methods.

You will use the Python Programming language to solve work-based big data problems, learn how to classify data sets into structured, semi-structured and unstructured data and apply your own code to work with this data. The course will also introduce predictive analytics and Machine Learning.

Through Digital Skills Academy’s experiential learning approach, you’ll also have an opportunity to apply and embed your new skills whilst on the course.

How Will This Course Help To Advance Your Career

As one of the key tools used to make data-driven business decisions, a well-rounded understanding of Data Science is a strong asset in the digital era. This course enables participants to structure data and develop analytical skills. It will equip you with the necessary competences and knowledge base to stand out in a dynamic and specialist field.

On completion of this course, you will have covered:

  • Introduction to Python Programming
  • Data scraping, parsing and down-sampling
  • Data set fusion, filtering, slicing and dicing
  • Schema validation and reconciliation
  • Data manipulation, array programming, data frame
  • Sources of data problems
  • Statistical distribution fitting and statistical significance of fitting
  • Co-occurrence grouping of data
  • Introduction to Machine Learning
  • Introduction to plot types and visualisation to large data sets
  • Statistics
  • Python Programming

On completion of this course, you will have created the following assets:

  • A variety of Python programmes
  • A selection of Data Science models for specific data sets

Essential Requirements

  • Strong numeracy
  • Experience working with Excel
  • Knowledge of programming, preferably in Python
  • Coding experience in a least one language
  • Experience of database technology including the relational data model and NoSQL
  • Experience of statistics and statistical modelling
  • Excellent written and oral communications skills
  • Experience with business and technical reporting

As part of our application process, you will also take a simple, online suitability assessment for your chosen course. Based on your answers, this will confirm that you have the skills and experience required for a successful outcome

11 hours (comprising a weekly average of 5.5 taught hours plus 5.5 additional hours on average for self-study, research and group work)

You will be given a number of course-specific assignments that both reinforce the learning and give you work-based experience of applying your new skills. All assignments are subject to a rigorous assessment framework. Assessments for this specific course will include weekly quizzes.

Key Benefits Of Online Short Courses

Learn Through Work-Based Experience

You’ll be working on assignments and projects, including the development of your own web service, that present work-based strategic business challenges and demanding customer requirements.

Build A Compelling Portfolio

Whether you’re looking to accelerate your career or perhaps preparing for your next career move, you’ll complete the course with a cutting-edge portfolio to help you reach your career aspirations.

Reinforce The Learning

Our Live Syncs and Mentoring sessions enable you to tap into the knowledge of our lecturers in real-time and support your development of invaluable group-working skills.

Learn From The Experts

All Digital Skills Academy lecturers blend academic excellence with professional experience. Their knowledge and skills have been applied and stress-tested over many years in the real world.

Enjoy The Learning Experience

Digital Skills Academy short courses are based on a proven, flexible learning methodology. You’ll be able to access your courses anytime, anywhere, with a computer, tablet or smartphone. 

Peer Learning

You’ll be part of an online international community of fellow working professionals. You’ll benefit from the advice, support, insights and experiences shared by your peers from across the globe.

Who Our Participants Work For
Participants represent a significant cross-section of global brands from a wide mix of industries, including the following:

What Our Participants Say About Digital Skills Academy Programmes

“As I have been active in the UK Digital Sector, I wanted to upskill, and was interested in the digital side of business too. Doing this course was good for my work, and also good for future-proofing my career.” – Andrés Espinosa Aceves, Digital Skills Academy Participant

Frequently Asked Questions

Will we have access to the course lecturer to ask questions?

Participants will be able to ask the course lecturer questions at any time through a special forum set up for this course.

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