Whether delivered online or onsite, our instructor-led live Data Science training courses use hands-on practice to demonstrate how to extract knowledge from data in various forms.
Data Science training is available as either "online live training" or "onsite live training". Online live training (also known as "remote live training") is conducted through an interactive, remote desktop. Onsite live training can take place at customer premises in Liverpool or within NobleProg's corporate training centres in Liverpool.
NobleProg – Your Local Training Provider
Liverpool
Horton House, Liverpool, united kingdom, L2 3PF
This business centre is situated in Exchange Flags, a beautifully restored landmark property at the heart of Liverpool's rejuvenated business district. This is Liverpool's best office address. The elegance of the original architecture has been matched by a sympathetic yet stylish refurbishment, which has set a benchmark for Grade A office accommodation across the city. Two office buildings flank an impressive bustling open square, which is enclosed by Liverpool Town Hall. Occupiers so far include legal, accountancy, consulting and property firms and The Ministry of Defence. The World Heritage waterfront, a 10,000-seater arena and a conference centre are on the doorstep as well as the Liverpool One shopping and leisure complex. Not since its days as the foremost port in the world has Liverpool witnessed development activity at current levels. This is a city that means business and is attracting investment and visitors from across the world.
This live, instructor-led training in Liverpool (online or on-site) is tailored for entry-level professionals looking to understand the principles of pre-trained models and apply them to solve real-world issues without having to build models from scratch.
By the conclusion of this training, participants will be capable of:
Comprehending the fundamental concepts and advantages of pre-trained models.
Investigating diverse pre-trained model architectures and their respective use cases.
Refining a pre-trained model to address specific tasks.
Integrating pre-trained models into straightforward machine learning projects.
This instructor-led, live training in Liverpool (online or on-site) is designed for intermediate-level data scientists and analysts looking to utilise AWS Cloud9 for efficient data science workflows.
By the end of this training, participants will be able to:
Establish a data science environment in AWS Cloud9.
Execute data analysis using Python, R, and Jupyter Notebook within Cloud9.
Integrate AWS Cloud9 with AWS data services including S3, RDS, and Redshift.
Employ AWS Cloud9 for developing and deploying machine learning models.
Enhance cloud-based workflows for data analysis and processing.
This instructor-led live training in Liverpool (online or onsite) is designed for intermediate-level participants aiming to automate and manage machine learning workflows, covering model training, validation, and deployment using Apache Airflow.
By the end of this training, participants will be able to:
Configure Apache Airflow for machine learning workflow orchestration.
Automate data preprocessing, model training, and validation tasks.
Integrate Airflow with machine learning frameworks and tools.
Deploy machine learning models via automated pipelines.
Monitor and optimise machine learning workflows in production.
This instructor-led, live training in Liverpool (online or onsite) is designed to help participants prepare for the Microsoft Certified: Data Scientist Associate certification exam (DP-100).
The course covers the basics of data science and machine learning, and how they can be implemented using Microsoft Azure Machine Learning. Participants will learn how to prepare data, build and train machine learning models, and deploy models to the cloud. The course also covers how to evaluate model performance and perform feature engineering.
This instructor-led live training in Liverpool (online or on-site) is designed for entry-level data scientists and IT professionals aiming to grasp the essentials of data science using Google Colab.
By the end of the session, participants will be capable of:
This 35-hour instructor-led course in Liverpool equips participants with the skills to use Python for developing practical financial applications. It covers data analysis, asset allocation, and risk management through a hands-on methodology, blending lectures with intensive practical exercises.
This 35-hour training in Liverpool focuses on practical Data Science and AI applications using Python. Participants will engage with CRISP-DM workflows, machine learning via TensorFlow, NLP, and Big Data using Spark. It is ideal for beginners aiming to acquire career-ready analytics skills and obtain Python data science certification for business contexts.
This instructor-led training in Liverpool introduces the KNIME Analytics Platform for data-driven innovation. Participants will learn to build data science scenarios, train and validate models, and implement end-to-end data value chains through hands-on labs and practical exercises.
This instructor-led, live training in Liverpool (delivered online or on-site) is designed for intermediate-level data analysts, developers, and aspiring data scientists who aim to utilise machine learning techniques in Python. The goal is to extract insights, formulate predictions, and automate decisions driven by data.
Upon completing this course, participants will be capable of:
Comprehending and differentiating the core machine learning paradigms.
Examining data preprocessing strategies and model evaluation criteria.
Utilising machine learning algorithms to resolve real-world data issues.
Employing Python libraries and Jupyter notebooks for hands-on development tasks.
Developing models suited for prediction, classification, recommendations, and clustering.
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Testimonials (2)
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python
Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain
Richard Blewett - Rock Solid Knowledge Ltd
Course - Machine Learning – Data science
Provisional Upcoming Courses (Contact Us For More Information)
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