Data Science courses in Potters Bar

Python Unittest Course Summary. Testing plays a major role in software development. This course will explain Python Unit Testing using the unittest built-in module. We'll cover issues before going to the production itself and the basics of testing in Python. Location: Instructor-led, Online. Our Style: Hands-on, Practical Course. Group Size: Max 4 people per group. Qualification: PCWorkshops Unittest Certification Duration: 1-Day, 10am-5pm Unittest topics UnitTest Framework - Home UnitTest Framework - Overview UnitTest - Framework UnitTest - API UnitTest - Assertion UnitTest - Test Discovery UnitTest - Skip Test UnitTest - Exceptions Test UnitTest - Time Test UnitTest - Unittest2 UnitTest - Signal Handling UnitTest - Doctest UnitTest - Doctest API UnitTest - Py.test Module Nose Testing - Framework Nose Testing - Tools Included with Python Unittest Course Python Unittest Certificate on completion Python Unittest Videos Python Unittest Notes Python Unittest Examples Practical Python Unittest exercises

Data Visualization Courses London. In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational visualizations This course is ideal for managers and data analysts who need to make business decisions based on data.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework.

***Don't Spend More; Spend Smart with This 14 in 1 Data Science Bundle*** Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Data Science Bundle Now Tired of browsing and searching for the Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry, as you have just found the solution. Take a minute and look through this 14-in-1 extensive Data Science bundle that has everything you need to succeed in Data Science and other relevant fields! After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand course that will enhance your Data Science skills and prepare you for the competitive job market. Furthermore, to help you showcase your expertise in Data Science, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Data Science Bundle Consists of the following Premium courses: Course 01: Data Analysis Course 02: Data Science & Machine Learning with Python Course 03: R Programming for Data Science Course 04: Statistics & Probability for Data Science & Machine Learning Course 05: Complete Google Analytics Course Course 06: Excel Data Analysis for Beginner Course 07: Introduction to Data Analysis Course 08: Data Analysis in Excel Level 3 Course Course 09: Google Data Studio: Data Analytics Course 10: Data Center Training Essentials: General Introduction Course 11: SQL Programming Masterclass Course 12: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 Course 13: Learn to Use Python for Spatial Analysis in ArcGIS Course 14: GDPR Data Protection Level 5 So enrol now in this Data science bundle to kick-start/ advance your career! Curriculum of Data Science Bundle Data Science with Python Introduction to Python Data Science Data Cleaning Packages Data Visualization packages How will I get my Data Science Certificate? After successfully completing the Data Science course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) CPD 145 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Science bundle including; Administrator & Data Analyst Architect Cabler Manager Centre Manager Requirements Our Data sciencecourse is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices. Career path Having this Data science expertise will increase the value of your CV and open you up to multiple job sectors. Explore Data Science AdministratorData AnalystArchitectCablerManagerCentre Manager Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Data Science with Python) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Data Science with Python) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Master Data Science and Machine Learning with Python to transform data-driven decisions in businesses.

This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.

The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms.

Give a compliment to your career and take it to the next level. This Data Science will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Data Sciencebundle will help you stay ahead of the pack. Throughout the Data Scienceprogramme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector. Along with this Data Science course, you will get 10 premium courses, an originalHardcopy, 11 PDF Certificates (Main Course + Additional Courses) Student ID card as gifts. This Data Science Bundle Consists of the following Premium courses: Course 01: Data Science with Python Course 02: Data Science & Machine Learning with Python Course 03: R Programming for Data Science Course 04: Python for Data Analysis Course 05: Machine Learning for Predictive Maps in Python and Leaflet Course 06: Learn to Use Python for Spatial Analysis in ArcGIS Course 07: Python Programming for Everybody Course 08: Encryption Course 09: GDPR Data Protection Level 5 Course 10: Decision Making and Critical Thinking Course 11: Time Management Enrol now in Data Science to advance your career, and use the premium study materials from Apex Learning. Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Scienceexpertise and essential knowledge, which will assist you in reaching your goal. Curriculum: Course 01: R Programming for Data Science Unit 01: Data Science Overview Unit 02: R and RStudio Unit 03: Introduction to Basics Unit 04: Vectors Unit 05: Matrices Unit 06: Factors Unit 07: Data Frames Unit 08: Lists Unit 09: Relational Operators Unit 10: Logical Operators Unit 11: Conditional Statements Unit 12: Loops Unit 13: Functions Unit 14: R Packages Unit 15: The Apply Family - lapply Unit 16: The apply Family - sapply & vapply Unit 17: Useful Functions Unit 18: Regular Expressions Unit 19: Dates and Times Unit 20: Getting and Cleaning Data Unit 21: Plotting Data in R Unit 22: Data Manipulation with dplyr And much more... CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Science bundle. Requirements This Data Science course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (R Programming for Data Science) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.