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Certificates CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate CPD Accredited Digital certificate Digital certificate - Included
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Duration 4 Days 24 CPD hours This course is intended for Developers who have: At least two years of experience with Java or JavaScript programming Familiarity with the jQuery library and JSON syntax Overview When you complete this course, you will be able to: Create cartridges to add reusable functionality to a site. Use JavaScript controllers to add business logic to a site. Create reusable code using ISML templates. Use content slots and page designer to improve the appearance and flexibility of a site. Use B2C Commerce Script in ISML templates and script files. Use the Forms Framework to control the validation, rendering, and storing of consumer-entered values. Create hooks to configure functionality that is called a specific event. Measure and ensure site performance. Install and use SFRA command line tools to perform testing. This course introduces the core programming concepts, relevant files, and scripting language for Salesforce B2C Commerce. It is a must for developers new to Salesforce B2C Commerce and experienced developers looking to ramp up on Storefront Reference Architecture. Using real-world scenarios, this course covers how to customize the Storefront Reference Architecture and modify a B2C Commerce Cloud storefront. Overview of B2C Commerce Salesforce B2C Commerce Overview Storefront Reference Architecture Overview Business Manager Organization Getting Started Accessing Storefront Reference Architecture Creating a Workspace Creating a Server Connection Navigating Cartridges CartridgesCartridges Cartridge Types Cartridge Path Working with Plugin Cartridges Using a Custom Storefront Cartridge Controllers Introduction to JavaScript Controllers Creating a JavaScript Controller Script & JavaScript Controller Debugging Middleware Functions B2C Commerce Script API Models Introduction to Models Extending Models ISML ISML Tags and Expressions Reusing Code in Templates Conditional Statements & Loops Resource API & Resource Bundles Content Slots Creating & Configuring Content Slots Content Link Functions Page Designer Introduction to Page Designer Business & Developer Tasks Creating Custom Components Forms Framework Custom & System Objects XML Metadata File Server-Side Validation Script ISML Form Template Custom Logging Client-Side Validation Script Site Maintenance Site and Page Caching Site Performance Storefront Reference Architecture Tools GitHub NPM Tools Functional and Unit Tests
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You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00
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Course Overview Are you an aspiring Web Developer? The PHP for Beginners: PDO Crash Course is a complete guide to PHP scripting language. This course will teach you how to create dynamic web applications using PHP, as well as take you through the basics such as connecting DP with PDO. It covers the fundamentals such as PHP syntax and variables, as well as how to work with conditional statements, loops, functions and arrays. This practical training course is open to everyone and has no specific entry requirements. Learn how to integrate client-server communication into web pages to create dynamic functionality using PHP, and much more, with this complete audiovisual training course for beginners. This best selling PHP for Beginners: PDO Crash Course has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth PHP for Beginners: PDO Crash Course is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The PHP for Beginners: PDO Crash Course is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The PHP for Beginners: PDO Crash Course is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the PHP for Beginners: PDO Crash Course, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the PHP for Beginners: PDO Crash Course will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the PHP for Beginners: PDO Crash Course to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.
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Course Overview An EDMS (Electronic Document Management System) is a digital system used to store, organise, track and manage electronic files and documents, which are based on computer software. They enable integration and workflow automation within an organisation. The EDMS and Workflow Management course will take you through the concepts of electronic document management systems, as well as the process of managing and controlling the flow of documents within departments. You will also learn about the different technologies used for EDMS. This course is ideal for aspiring document controllers, office managers, secretaries and personal assistants. It covers best practices and ISO standards that will enable you to automate key office functions and manage documents digitally in the most efficient way. This best selling EDMS and Workflow Management has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth EDMS and Workflow Management is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The EDMS and Workflow Management is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The EDMS and Workflow Management is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the EDMS and Workflow Management, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the EDMS and Workflow Management will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the EDMS and Workflow Management to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.