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Data Science Training Courses

Do you want to master new technical skills and learn the latest techniques and industry best practices to work effectively with Data Science teams? Book one of our one-day training courses delivered in partnership with Cognitir.

Introduction to data science

 Machine learning – advanced classification methods in Python

 Introduction to time series analysis in Python

 

Introduction to data science

When: Friday 12 October 

This course provides a structured teaching environment where you can learn classic data science methods which are used as the bases for many financial technologies. At the end of the workshop, course participants will have applied the Python programming language and essential data science techniques to solve complex financial problems.

Key learning outcomes 

  • An overview of data science methods relevant to finance and fintech.
  • Hands-on Python programming experience.
  • Understanding of effective data visualization techniques using Python.

What this course offers?

  • Course notes, certificate of completion and post-course email support for 3 months.
  • An engaging and practical training approach with a qualified instructor with relevant technical, business and educational experience.

Who is this course for?

  • This course is designed for professionals who want to gain a hands-on introduction to essential data science methods that are used in finance and fintech. 

For further information including pre-requisites and the full course programme, download this PDF to share with your line manager. 

CPD

CPD This course is eligible for 6 CPD hours.

Price

Early bird (until 7 September) 
Member £450
Non-member £550

Regular price 
Member £550 
Non-member £650

Spaces are limited, book now to reserve your place. 

 

Machine learning – advanced classification methods in Python

When: Friday 2 November 

This hands-on data science course is a sequel to Cognitir’s Introduction to Data Science material. It will provide an overview of modern machine learning algorithms that analysts, portfolio managers, traders and chief investment officers should understand.

This course will explore advanced classification methods including neural networks and decision trees which are among the most effective data science techniques. An introduction to deep learning, a technique which has significantly increased the performance of machine learning algorithms over the last years and is heavily used in the industry, is also included.

Key learning outcomes 

  • An overview of modern machine learning relevant to finance professionals
  • Be comfortable using Python to build common classification algorithms
  • Evaluate & interpret algorithm accuracies

What this course offers?

  • An overview of core classification methods and how to use them to solve real-world problems in the finance industry
  • Hands-on Python programming experience
  • Course notes, certificate of completion, and post-seminar email support for 3 months
  • An engaging and practical training approach with a qualified instructor with relevant technical, business, and educational experiences

Who is this course for?

This course is relevant for individuals working with or needing to understand machine-learning algorithms, specifically classification methods.
Cognitir’s Introduction to Data Science course or the equivalent is required.

For further information including pre-requisites and the full course programme, download this PDF to share with your line manager.

CPD

CPD This course is eligible for 6 CPD hours.

Price

Early bird (until 28 September) 
Member £450
Non-member £550

Regular price 
Member £550 
Non-member £650

Spaces are limited, book now to reserve your place. 

 

Introduction to time series analysis in Python

When: Friday 23 November 

This hands-on data science course teaches the fundamentals of time series analysis and how to do this in Python. Whether you are trying to predict asset prices or understand the effects of air pollution over time, effective time series analysis can help you.

Key learning outcomes

At the end of the course, you will be comfortable applying the Python programming language to visualize and execute time series analysis to see if there is predictive power in your data.

What this course offers?

  • An overview of core classification methods and how to use them to solve real-world problems
  • Hands-on Python programming experience
  • Course notes, certificate of completion, and post-seminar email support for 3 months
  • An engaging and practical training approach with a qualified instructor with relevant technical, business, and educational experiences
  • A Computer Science 101 pre-course webinar

Who is this course for?

This course is relevant for individuals working with or needing to understand times series. The most common participants are: investment professionals, traders, economists, biologists, chemists, physicists, entrepreneurs, consultants, and technology individuals.
Cognitir’s Introduction to Data Science course or the equivalent is required.

For further information including pre-requisites and the full course programme, download this PDF to share with your line manager.

CPD

CPD This course is eligible for 6 CPD hours.

Price

Early bird (until 19 October) 
Member £450
Non-member £550

Regular price 
Member £550 
Non-member £650

Spaces are limited, book now to reserve your place.