58 Lean courses in Esher

The NVQ Level 3 is designed to provide both new entrants and those seeking progression in their career, with the opportunity to develop the necessary skills to carry out job roles and responsibilities associated with the installation and maintenance of Electrotechnical systems. The EWR is for electricians who have been working in the industry for at least 5 years but have not formally completed an industry apprenticeship or Level 3 NVQ qualification. Successful completion of the NVQ and AM2 assessment will satisfy the entry criteria for JIB accredited Gold Card status. Bear in mind that the C&G 2391-50 and 18th Edition courses are pre-requisites to the Experienced Worker route. In case you don’t hold them, we can help you with a Pre-Experienced Worker Route package.

Python Data Analytics boot camp. 12 1 day lessons, learn Python Basics through to machine learning and front-ends. With practical project to give you full confidence and credibility.

If you have at least 5 years working experience and you would like to attain Gold Card status via the Experienced Worker route by joining the City & Guilds 2346 NVQ Level 3, you will also need to hold the below two pre-requisite qualifications: City & Guilds 2391-52 Inspection and Testing Course C&G 2382-22 BS7671 18th Edition

The course is designed to help improve your understanding of the legal requirements, the theoretical and practical principles for both the initial verification and certification of an electrical installation, further your knowledge and practical skills in the testing and inspection of a range of existing electrical installations, and help improve your understanding of the legal requirements, the theoretical and practical principles for the periodic inspect and testing and certification of an electrical installation.

This Level 4 City and Guilds 2396-01 Design and Verification of Electrical Installations course has been designed to help develop the skills and up date the knowledge of the requirements to enable you to professionally design, erect and then verify an electrical installation. This course is aimed at those who will have responsibility for designing, supervising, installing and testing electrical installations. Further information can be found here: C&G 2396 Electrical Design Course — Optima Electrical Training (optima-ect.com)

Even if you have completed a level 3 NVQ or a previous version of the wiring regulations, you still will have to prove you are conversant with the current standards. So therefore, keeping up to date with the latest wiring regulations satisfies these requirements. Although the BS 7671 can be a tricky book to navigate, our course has been designed in such a way as to ensure that you will have the knowledge to identify and find the topics covered in each of the relevant parts of the book. Further information can be found here: C&G 2382-22 BS7671 18th Edition — Optima Electrical Training (optima-ect.com)

This Level 4 City and Guilds 2396-01 Design and Verification of Electrical Installations course has been designed to help develop the skills and up date the knowledge of the requirements to enable you to professionally design, erect and then verify an electrical installation. This course is aimed at those who will have responsibility for designing, supervising, installing and testing electrical installations. Further information can be found here: C&G 2396 Electrical Design Course — Optima Electrical Training (optima-ect.com)

The Portable Appliance Testing course or PAT testing course as it is more commonly known is one of our most popular courses as it does not require you to have any formal previous qualifications and once completed, will enable you to offer your services. In the commercial setting, the law places a responsibility on all employers to ensure that the electrical equipment to be used by their staff and the public, should be fit for purpose and safe for use. Hence, all portable appliances have to be regularly checked and maintained by a competent person.

Python Machine Learning algorithms can derive trends (learn) from data and make predictions on data by extrapolating on existing trends. Companies can take advantage of this to gain insights and ultimately improve business. Using Python Machine Learning scikit-learn, practice how to use Python Machine Learning algorithms to perform predictions on data. Learn the below listed algorithms, a small collection of available Python Machine Learning algorithms.

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds