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About Course ASP.NET Core MVC 6: Master the Latest Web Development Framework Become a full-stack web developer with this comprehensive course on ASP.NET Core MVC 6, taught by a lead instructor with 20+ years of experience. This course is designed for beginners with zero or basic programming experience. You will learn everything you need to know to build modern web applications with ASP.NET Core MVC 6, including: HTML5 and CSS3 Bootstrap 4 C# ASP.NET Core MVC 6 Entity Framework Core SQL Server Express You will also learn about important web development concepts such as routing, controllers, views, and models. The course includes HD video tutorials, code challenges, and coding exercises to help you learn and practice the material. You will also build a real-world project to apply your skills. By the end of this course, you will be fluent in ASP.NET Core MVC 6 and ready to build any website you can dream of. Enroll today and start your journey to becoming a full-stack web developer! Benefits of taking this course: Learn from a lead instructor with 20+ years of experience Become a full-stack web developer with just one course Learn the latest tools and technologies used at large companies such as Apple, Facebook, Google, and Netflix Get comprehensive student testing and feedback from students who are working and applying these coding examples Learn by building real-world websites and web apps Get access to HD video tutorials, code challenges, and coding exercises Target audience: Beginners with zero or basic programming experience who want to learn how to build modern web applications with ASP.NET Core MVC 6 What Will You Learn? Learn structure of ASP .NET MVC Core (.NET 6) Project Create websites and webapp for your business needs Get a job as a junior web developer on Microsoft technologies Identify a case study to manage a project development Master front-end development using HTML & CSS back-end development using C# & MS SQL Create fully function dynamic MVC Core web applications using Asp .NET Core Creating Functional Model, View and Controller functionality on Movie Project Learn to Add Entity Framework Packages to Project Using NuGet Package Manager Applying SQL Server Database Connection to your application Running Power Shell Commands for Scaffolding and CRUD function Webforms Identify and applying Database Migrations You will learn fully functional Validations for your project Course Content Getting Started Course Introduction Course Curriculum How to Get Course Requirements Getting Started on Windows, Linux or Mac How to Ask Great Questions FAQ's ASP.NET Basics Section Introduction What You Can Build with ASP.NET Core What is ASP.NET Core How to Get Visual Studio Installing Visual Studio and ASP.NET Creating New Project Summary Prerequisites: HTML, CSS and Bootstrap Section Introduction HTML Overview Paragraph HTML List Items Forms CSS Overview CSS Internal CSS External CSS Forms Bootstrap Overview First Bootstrap Website Bootstrap Grids System Bootstrap Cards Summary ASP.NET MVC: Movie Project Section Introduction Source Code Reference MVC - Model View Controller Create a MVC Project Exploring the MVC Template Creating Controller Add a Controller URL Routing Logic Creating View Add a View Change Views and Layout Pages Passing Data from Controller to View Creating Model Add a Model Add Entity Framework Packages Scaffold Movie Pages-CRUD Database Migrations Initial Migration Generated Database Context Class Dependency Injection Database Connection String Summary Working with Database Section Introduction SQL Server Express Local DB Seed the Database Add the Seed Initializer Summary Add Search to ASP.NET Core MVC App Section Introduction Add Search Method to Controller Add Search to Page Search by Parameter Summary Model Update Section Introduction Add a New Field to Model Add-Migration Update Database Summary Validations Add Validation Rules to Model Required and Minimum Length Regular Expression Range String Length Validation on Error UI Enable JavaScript on Browser Examine the Details and Delete Code Review on Details Method Code Review on Delete Method Course Files and Resources Course Files and Resources A course by Sekhar Metla IT Industry Expert Xpert Learning RequirementsBasic C# programming experience needed(optional). You will learn MVC Core need to knowNo software is required in advance of the course (all software used in the course is free)No pre-knowledge is required on MVC - you will learn from basic Audience Beginner Asp .Net MVC Core C# coding, Microsoft SQL and CSS developers curious about web development Anyone who wants to generate new income streams Anyone who wants to build dynamic web applications Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer Anyone who wants to build fully functional asp .net core mvc database applications Audience Beginner Asp .Net MVC Core C# coding, Microsoft SQL and CSS developers curious about web development Anyone who wants to generate new income streams Anyone who wants to build dynamic web applications Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer Anyone who wants to build fully functional asp .net core mvc database applications

Level 5 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Microsoft Excel training | Excel Courses for Accountants: Excel Courses Overview Microsoft Excel is the world's most popular spreadsheet program, learning how to use the software with Osborne Training shows that you've taken one of the best Excel training courses available. Comprehensive excel courses come with up to date material to practice at home and during your class. Excel courses for accountants This course is a highly recognised excel course for accountants. We will also provide a step by step manual of all the tricks you can do using Excel spreadsheets to gain better management reporting and budgeting skills. It is a fundamental program for professional Accountants. Excel spreadsheets are the most powerful tool, extensively used for reporting and analysis. Having advanced skills in excel can excel your career and help you to stand ahead of the competitive job market. Advanced skills in Excel is a must for any potential professional accountants and who are already running a practice or considering opening a practice. Certificate of Attendance Excel Course Content Creating worksheets, formatting text Simple and complex formulas Handling rows and columns Average, max and min functions and using charts. Use of IF Formula Summing Techniques Cell References Formula Linking Tables and Bordering Look up References (Vlookup, Hlookup, etc) Data Validation Conditional Formatting Date & Time Formulas Charts & Graphs Protection & Security Creating Pivot Table Pivot Table Analysis

Master frontend web development using HTML, CSS, CSS Flexbox, CSS Grid, and JavaScript

The IOSH Managing Safely® Course is a three or four day course designed for people in supervisory or management positions in all types of organisations, who need a broad understanding of health and safety at work. The aim is to give these managers the knowledge to help implement good practice for health and safety in the workplace.

The future of fitness is here. Be a part of it. The NASM Virtual Coaching Specialization’s immersive online experience will equip you with the skills, tools, and strategies necessary to launch, operate, or transition your current fitness or wellness business to a successful online coaching business. By doing so, you’ll open yourself to a whole new world of opportunities. You’ll also be able to help clients from around the world anywhere and anytime. It’s the ultimate flexibility as a trainer while also creating new revenue streams. As part of this specialization, you will learn the skills and knowledge necessary to conduct and modify fitness assessments online, how to cue clients in an online environment, how to run your business digitally, effective sales and marketing strategies, and much more!

This course is designed to guide you through Selenium WebDriver and Java, right from the basic to the advanced aspects. Loaded with exercises and examples, this course provides an interactive learning experience.

The Microsoft Access 2016 Beginner to Advanced course is a comprehensive training program covering all levels of proficiency. From creating simple databases to advanced querying, form creation, report generation, and database management, this course provides a deep understanding of Microsoft Access's features and functions. Learning Outcomes: Build and modify Access databases, tables, and fields. Create effective queries to sort, filter, and summarize data. Develop professional-looking reports with controls, charts, and calculations. Design forms with controls, tab pages, and conditional formatting. Automate tasks using macros and understand the basics of VBA. Manage database performance, security, and object dependencies. Create a database switchboard and modify startup options. Understand data normalization, table relationships, and import/export processes. Why buy this Microsoft Access 2016 Beginner to Advanced? Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Microsoft Access 2016 Beginner to Advanced you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? Beginners with no previous experience in Microsoft Access. Professionals seeking to enhance their database management and reporting skills. Individuals aiming to become proficient in creating and maintaining databases. Students pursuing careers in data analysis, administration, or database management. Prerequisites This Microsoft Access 2016 Beginner to Advanced was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: Analyze, interpret, and present data insights using Access. Database Administrator: Design, implement, and maintain databases for organizations. Administrative Assistant: Manage data, generate reports, and streamline processes. Project Manager: Organize project-related data and create performance reports. Business Owner: Build and manage databases to support business operations. Course Curriculum Module - 1 Orientation to Microsoft Access 01:00:00 Create a Simple Access Database 01:00:00 Get Help in Microsoft Access 00:30:00 Modify Table Data 00:30:00 Work with Records 01:00:00 Sort and Filter Records 00:30:00 Create Lookups 01:00:00 Join Data from Different Tables in a Query 01:00:00 Sort and Filter Data in a Query 01:00:00 Perform Calculations in a Query 00:30:00 Create Parameter Queries 00:30:00 Create Action Queries 00:30:00 Create Find Duplicate and Find Unmatched Queries 00:30:00 Summarize Data 00:30:00 Create a Report 01:00:00 Add Controls to a Report 00:30:00 Enhance the Appearance of a Report 00:30:00 Prepare a Report for Print 00:30:00 The Access Options Dialog Box 01:00:00 Relational Database Design 00:30:00 Create a Table 01:00:00 Modify a Table and Fields 00:30:00 Create Table Relationships 00:30:00 Create Query Joins 00:30:00 Join Tables That Have No Common Fields 00:30:00 Relate Data within a Table 00:30:00 Work with Subdatasheets 00:30:00 Create Subqueries 00:30:00 Data Normalization 01:00:00 Create a Junction Table 00:30:00 Import Data into Access 00:30:00 Export Data to Text File Formats 00:30:00 Export Access Data to Excel 00:30:00 Create a Mail Merge 00:30:00 Organize Report Information 00:30:00 Format Reports 00:30:00 Include Charts in a Report 00:30:00 Add a Calculated Field to a Report 00:30:00 Add a Subreport to an Existing Report 00:30:00 Create a Mailing Label Report 00:30:00 Publish a Report as PDF 00:30:00 Activities - Microsoft Access 2016 for Beginners 00:00:00 Module - 2 Add Controls to Forms 01:00:00 Set Form Controls 01:00:00 Create Subforms 00:30:00 Organize Information with Tab Pages 00:30:00 Enhance Navigation with Forms 00:30:00 Format a Form 01:00:00 Apply Conditional Formatting 00:30:00 Field Validation 00:30:00 Form and Record Validation 00:30:00 Create a Macro 01:00:00 Restrict Records Using a Condition 00:30:00 Validate Data Using a Macro 00:30:00 Automate Data Entry Using a Macro 00:30:00 Convert a Macro to VBA 00:30:00 Link Tables to External Data Sources 00:30:00 Manage a Database 00:30:00 Determine Object Dependency 00:30:00 Document a Database 00:30:00 Analyze the Performance of a Database 00:30:00 Split a Database for Multiple User Access 00:30:00 Implement Security 00:30:00 Set Passwords 00:30:00 Convert an Access Database to an ACCDE File 00:30:00 Package a Database with a Digital Signature 00:30:00 Create a Database Switchboard 01:00:00 Modify a Database Switchboard 00:30:00 Set Startup Options 00:30:00 Activities - Microsoft Access 2016 Advanced 00:00:00

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? 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? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Learn about the jQuery library from scratch and stretch your journey from a beginner-level to advanced-level professional with a step-by-step and comprehensive course. A basic understanding of the JavaScript Document Object Model and CSS is suggested as a prerequisite to this course.