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The Computer Networks Security, IT & AutoCAD bundle is designed to assist anyone with a curious mind, anyone looking to boost their CVs or individuals looking to upgrade their career to the next level can also benefit from the learning materials. Requirements The courses in this bundle has been designed to be fully compatible with tablets and smartphones. Career path This Computer Networks Security, IT & AutoCAD bundle will give you an edge over other competitors and will open the doors for you to a plethora of career opportunities. 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 (Coding with Scratch) 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.

Overview This comprehensive course on Building Big Data Pipelines with PySpark MongoDB and Bokeh will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Building Big Data Pipelines with PySpark MongoDB and Bokeh 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 Building Big Data Pipelines with PySpark MongoDB and Bokeh. It is available to all students, of all academic backgrounds. Requirements Our Building Big Data Pipelines with PySpark MongoDB and Bokeh 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 7 sections • 25 lectures • 05:04:00 total length •Introduction: 00:10:00 •Python Installation: 00:03:00 •Installing Third Party Libraries: 00:03:00 •Installing Apache Spark: 00:12:00 •Installing Java (Optional): 00:05:00 •Testing Apache Spark Installation: 00:06:00 •Installing MongoDB: 00:04:00 •Installing NoSQL Booster for MongoDB: 00:07:00 •Integrating PySpark with Jupyter Notebook: 00:05:00 •Data Extraction: 00:19:00 •Data Transformation: 00:15:00 •Loading Data into MongoDB: 00:13:00 •Data Pre-processing: 00:19:00 •Building the Predictive Model: 00:12:00 •Creating the Prediction Dataset: 00:08:00 •Loading the Data Sources from MongoDB: 00:17:00 •Creating a Map Plot: 00:33:00 •Creating a Bar Chart: 00:09:00 •Creating a Magnitude Plot: 00:15:00 •Creating a Grid Plot: 00:09:00 •Installing Visual Studio Code: 00:05:00 •Creating the PySpark ETL Script: 00:24:00 •Creating the Machine Learning Script: 00:30:00 •Creating the Dashboard Server: 00:21:00 •Source Code and Notebook: 00:00:00

Are you ready to take your data analysis skills to the next level? Introducing the Statistical Analysis and Data Science bundle - the ultimate collection of courses for anyone looking to dive deeper into the world of data. The bundle features a QLS-endorsed course, which means you will receive a QLS hardcopy certificate upon completion. This certificate is a mark of quality and can help you stand out in a competitive job market. But that's not all - the bundle also includes 10 other relevant courses, all CPD-QS accredited, to ensure you have a comprehensive understanding of statistical analysis and data science. You'll learn everything from the basics of statistical analysis to advanced SAS programming and big data analytics. Our courses were designed by people who are passionate about sharing their knowledge with you. With our easy-to-follow modules, you'll be able to learn at your own pace and from the comfort of your own home. Whether you're a seasoned data analyst looking to expand your skills or a newcomer to the field, the Statistical Analysis and Data Science bundle has everything you need to succeed. So why wait? Enrol now and take the first step towards becoming a data analysis expert! This Diploma in Statistical Analysis at QLS Level 5 Bundle Package includes: Course 01: Diploma in Statistical Analysis at QLS Level 5 10 Premium Additional CPD QS Accredited Courses - Course 01: Data Analytics with Tableau Course 02: Big Data Analytics with PySpark Tableau Desktop and MongoDB Course 03: Data Science & Machine Learning with R Training Course 04: SQL for Data Science, Data Analytics and Data Visualization Course 05: Advanced SAS Programming Using MacrosSQL Course 06: SQL NoSQL Big Data and Hadoop Course 07: Statistical Concepts and Application with R Course 08: Business Data Analysis Course 09: Business Intelligence and Data Mining Diploma Course 10: Data Analysis In Excel Why Prefer This Statistical Analysis and Data Science Bundle? You will receive a completely free certificate from the Quality Licence Scheme Option to purchase 10 additional certificates accredited by CPD Get a free Student ID Card - (£10 postal charges will be applicable for international delivery) Free assessments and immediate success results 24/7 Tutor Support After taking this Statistical Analysis and Data Science bundle courses, you will be able to learn: Develop a comprehensive understanding of statistical analysis and data science principles Gain expertise in data analytics tools such as Tableau, PySpark, MongoDB, R, SQL, SAS, and Hadoop Learn advanced data science techniques, including machine learning, data mining, and business intelligence Acquire skills in data visualisation, data cleansing, and data analysis in Excel Apply statistical concepts and methods to real-world scenarios Build a strong foundation in data-driven decision-making Develop problem-solving skills and learn how to make data-driven decisions ***Curriculum breakdown of Statistical Analysis*** Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better How is the Statistical Analysis and Data ScienceBundle Assessment Process? You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals looking to expand their skills in data analysis Students interested in a career in data science and analytics Entrepreneurs looking to make data-driven decisions Anyone interested in learning statistical analysis and data science principles Career path Our courses will prepare you for a range of careers, including: Data Analyst: £25,000 - £40,000 Business Analyst: £30,000 - £50,000 Data Scientist: £40,000 - £70,000 Business Intelligence Analyst: £35,000 - £55,000 Big Data Engineer: £50,000 - £80,000 Data Warehouse Architect: £60,000 - £100,000 Certificates CPD QS Accredited Certificate Digital certificate - Included Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally. CPD QS Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location. Diploma in Statistical Analysis at QLS Level 5 Hard copy certificate - Included

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This Data Analysis and Data Science Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Python for Data Analysis Course 03: Statistical Analysis Course 04: SQL NoSQL Big Data and Hadoop Course 05: Complete Microsoft Power BI 2021 Course 06: Data Analysis in Excel Level 3 Course Course 07: Data Analytics with Tableau Course 08: Basic Google Data Studio Course 09: Business Analytics Course 10: Complete Introduction to Business Data Analysis Level 3 Course 11: Business Intelligence and Data Mining Masterclass Course 12: Research Methods in Business Course 13: Computer Science: Graph Theory Algorithms Course 14: Data Protection and Data Security Level 2 Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning. How will I get my Certificate? After successfully completing the 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) 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 Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course 02: Python for Data Analysis Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 03: Statistical Analysis Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Course 04: SQL NoSQL Big Data and Hadoop Module 01: Introduction Module 02: Relational Database Systems Module 03: Database Classification Module 04: Key-Value Store Module 05: Document-Oriented Databases Module 06: Search Engines Module 07: Wide Column Store Module 08: Time Series Databases Module 09: Graph Databases Module 10: Hadoop Platform Module 11: Big Data SQL Engines Module 12: Distributed Commit Log Module 13: Summary Course 05: Complete Microsoft Power BI 2021 Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date Course 06: Data Analysis in Excel Level 3 Course Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Course 07: Data Analytics with Tableau Module 01: Introduction to the Course Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Module 03: Project 2: Green Destinations (HR Analytics) Module 04: Project 3: Superstore (Sales Agent Tracker) Module 05: Northwind Trade (Shipping Analytics) Module 06: Project 5: Tesla (Stock Price Analytics) Module 07: Bonus: Introduction to Database Concepts Module 08: Tableau Stories Course 08: Basic Google Data Studio Module 01: Introduction to GDS Module 02: Data Visualization Module 03: Geo-visualization Module 04: A Socio-Economic Case Study Course 09: Business Analytics Module 01: What is business analysis? Module 02: Strategy analysis Module 03: Collaboration Module 04: Requirements analysis and Design definition Module 05: Requirements lifecycle management Module 06: Solution quality Module 07: Stakeholder management Module 08: BA Governance Module 09: Legal notes and Copyright information Course 10: Complete Introduction to Business Data Analysis Level 3 Module 1: Statistics Fundamentals Module 2: Data Analysis Module 3: Probability Module 4: Random Variables and Discrete Distributions Module 5: Continuous Distributions Module 6: Sampling Distributions Module 7: Confidence Interval Module 8: Hypothesis Testing with One Sample Module 9: Hypothesis Testing with Two Samples Module 10: The Chi-Square Distribution Module 11: F Distribution and One-Way ANOVA Module 12: Correlation analysis Module 13: Simple Linear Regression Analysis Course 11: Business Intelligence and Data Mining Masterclass Module 01: What is Business Intelligence? Module 02: Starting Case in understanding BI needs in diff phase of business Module 03: Decision Making Process and Need of IT systems Module 04: Problem Structure and Decision Support System Module 05: Introduction to BI Applications Module 06: Dashboard presentation systems Module 07: Different Types of Charts used in 131 Dashboards Module 08: Good Dashboard and BSC Module 09: Examples of Bad Dashboards 1 Module 10: Examples of Bad Dashboards 2 And much more... Course 12: Research Methods in Business Section 01: Applied Project & Research Methods in Business Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing Effectively Written Methodology Part 3 !@@ Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis Section 05: Comparing Findings to Literature and Writing the Final Paper Course 13: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid And much more... Course 14: Data Protection and Data Security Level 2 GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations CPD 165 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis and Data Science bundle. Requirements Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) 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.

This is a comprehensive course designed to provide a solid foundation in web development principles and practices. This course is intentionally structured to provide a technical understanding of web development concepts without delving into intricate implementation details. Anyone looking to better understand how web applications are built can take this course.

Embark on a transformative journey into the realm of cutting-edge development with our course, 'Master Spring Boot 3.0 and MongoDB.' Crafted with precision and innovation, this course is a gateway to mastering the intricate dance between Spring Boot and MongoDB, providing you with the skills to revolutionize your coding prowess. Immerse yourself in an engaging learning experience, where each section unfolds like a chapter in a captivating novel, unveiling the secrets of MongoDB, the nuances of Bootstrapping applications, and the artistry of integrating OpenAPI. It's more than a course; it's an odyssey into the heart of modern development, beckoning you to embrace a new era of programming possibilities. In this dynamic learning adventure, traverse through the course curriculum like an explorer unraveling a map to success. From laying the groundwork in the introduction to conquering complex queries and MongoDB templates, you'll navigate the landscape of development with confidence. The course is not just about acquiring knowledge; it's about transforming that knowledge into practical expertise. Whether you're a novice eager to embark on a coding expedition or a seasoned developer seeking to enhance your skills, this course is your compass to navigate the vast territories of Spring Boot and MongoDB, promising a voyage filled with discovery and mastery. Learning Outcomes Develop a profound understanding of MongoDB, from environmental preparation to advanced query methods. Master the art of bootstrapping applications, gaining hands-on experience in crafting robust and efficient systems. Uncover the intricacies of collections relationships and the use of DBRef, adding a layer of sophistication to your database interactions. Seamlessly integrate OpenAPI into your projects, enhancing the accessibility and documentation of your applications. Acquire expertise in document queries and MongoDB templates, empowering you to build scalable and efficient databases. Why choose this Master Spring boot 3.0 and MongoDB course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Master Spring boot 3.0 and MongoDB course for? Aspiring developers keen on mastering the Spring Boot-MongoDB synergy. Software engineers looking to deepen their understanding of advanced database operations. Students and coding enthusiasts eager to explore the latest tools in the development landscape. Professionals seeking to upgrade their skill set in line with industry demands. Entrepreneurs or tech enthusiasts aiming to build robust applications from the ground up. Career path MongoDB Developer: £40,000 - £60,000 Spring Boot Engineer: £45,000 - £70,000 Database Architect: £55,000 - £80,000 Full Stack Developer: £50,000 - £75,000 Java Developer (Specializing in Spring Boot): £45,000 - £65,000 API Integration Specialist: £50,000 - £70,000 Prerequisites This Master Spring boot 3.0 and MongoDB does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Master Spring boot 3.0 and MongoDB 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction What is MongoDB 00:02:00 The Difference Between SQL and NoSQL 00:03:00 How to Choose Between SQL and NoSQL 00:04:00 Section 02: Prepare The Mongo Environment MongoDB UI Tools 00:01:00 Why Use Docker for Development 00:01:00 Create an Empty Docker Compose File 00:02:00 Mongo Server (Docker Compose) 00:04:00 Mongo Express (Docker Compose) 00:03:00 Run and Test 00:03:00 Section 03: Mongo Terms Collections and Documents in Mongo 00:03:00 Section 04: Bootstrapping The Application Create a New Spring Boot 3.0 Project 00:04:00 Project Structure 00:02:00 Include the Docker Compose with the Project and Run It 00:04:00 Project Architecture 00:03:00 Connect to MongoDB 00:03:00 Create a New Database 00:01:00 Understand Admin - Local and Config Databases 00:05:00 Create a Java Class 00:04:00 Transform the Java Class into a Collection 00:02:00 Create a Mongo Repository 00:02:00 Insert the First Data into the Collection 00:06:00 Create a Product Service 00:04:00 Save the product 00:03:00 Find Product by ID 00:01:00 Find All Products 00:01:00 Delete Product 00:01:00 Section 05: CRUD Operations Create Product Controller 00:02:00 Save Product Operation 00:02:00 Find All Products 00:01:00 Find Product by ID 00:01:00 Delete Product 00:02:00 Test the CRUD Operations 00:06:00 Section 06: DBRef And Collections Relationships Extend the Product Model 00:02:00 Create Category Java Class 00:02:00 User Category as a Field 00:03:00 Relationship between Category and Product 00:01:00 Transform the Category to a Collection 00:01:00 Create a Category Repository 00:01:00 Insert Categories at Startup 00:02:00 The Issue in Linking Collections 00:03:00 Add Relationship Between Collections 00:04:00 Section 07: OpenApi Integration Add OpenApi Dependency 00:02:00 Test and Play with Swagger UI 00:06:00 Section 08: Documents Queries And Mongo Template Extend the Product Model 00:02:00 Create a Search Service 00:01:00 What is MongoTemplate 00:02:00 Is() Query 00:07:00 Testing the Is() Query 00:02:00 Regex() Query 00:06:00 Lt() Query 00:03:00 Gt() Query 00:02:00 Sorting Data 00:05:00 Paging and Sorting 00:06:00 Section 09: Query Methods Create a Query Method Service 00:03:00 FindByX Query 00:06:00 FinByX Ignore Case Query 00:02:00 FinByX starting with query 00:03:00 FinByX ending with query 00:02:00 FinByX containing query 00:04:00 FinByX less than 00:02:00 FinByX greater than 00:01:00 FinByX between 00:02:00 FinByX and SortByY 00:04:00 Paging and Sorting 00:07:00

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This course covers all the requirements of the Microsoft AZ-300 and AZ-303 exams. You will get a detail-oriented approach to all the important concepts that will help you pass the exams and design solutions for the Microsoft Azure platform.

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This Software Developer & Software Testing Bundle consists the following career oriented courses: How To Startup Your Own SaaS (Software As a Service) Company (SaaS Evolution) Advanced SAS Programming Using MacrosSQL Web Applications for Specialisation on Development Secure Programming of Web Applications Penetration Testing with OWASP ZAP: Mastery course Complete Web Development Start Your Career as Web Developer PHP Web Development with MySQL Learn Spring & Angular Material with a Full Web Application Node JS: API Development with Swagger Interface Description Language Mobile and Web Development with Ionic & Angular JS Web Application Penetration Testing Python Basic Programming for Absolute Beginners AWS Certified Solutions Architect Associate Preparation Web Design with Adobe XD Responsive Web Design JavaScript Functions jQuery Masterclass Course: JavaScript and AJAX Coding Bible C Programming Language C++ Programming Basics of WordPress Flutter & Dart Development Course Build Progressive Web Apps with Angular Learn How To Create a Web App for iPad Diploma in Front-End Web Development Bash Scripting, Linux and Shell Programming Master Spring boot 3.0 and MongoDB ASP.Net MVC and Entity Framework Building a TodoMVC Application in Vue, React and Angular Code Your Own Drawing Application in Android Studio Learn Todoist Basics in 1,2,3 Start Learning Arduino without Writing a Single Line of Code Ransomware Uncovered Specialist Certificate In this exclusive Software Developer & Software Testing bundle, you really hit the jackpot. Here's what you get: Step by step Software Developer & Software Testing lessons One to one assistance from Software Developer & Software Testingprofessionals if you need it Innovative exams to test your knowledge after the Software Developer & Software Testingcourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all 33 Software Developer & Software Testing courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Software Developer & Software Testing certificate and transcript on the next working day Easily learn the Software Developer & Software Testing skills and knowledge you want from the comfort of your home The Software Developer & Software Testing course has been prepared by focusing largely on Software Developer & Software Testing career readiness. It has been designed by our Software Developer & Software Testing specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Software Developer & Software Testing Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Software Developer & Software Testing bundle course has been created with 33 premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Software Developer & Software Testing Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Software Developer & Software Testing Elementary modules, allowing our students to grasp each lesson quickly. The Software Developer & Software Testing course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. Software Developer Skills Proficiency in programming languages like Python, Java, C++, JavaScript, or Ruby. Problem-solving skills for analyzing and resolving complex issues. Knowledge of algorithms and data structures for optimizing code efficiency. Ability to debug and fix errors in code effectively. Familiarity with version control tools like Git. Understanding of web development technologies including HTML, CSS, and JavaScript frameworks. Competence in database management systems such as SQL or NoSQL. Experience with software testing frameworks and methodologies. Proficiency in object-oriented design principles. Knowledge of continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with Agile methodologies like Scrum or Kanban. Strong documentation skills for writing clear and concise technical documentation. Effective communication skills for collaborating with team members and stakeholders. Creativity in designing innovative solutions. Willingness to learn and adapt to new technologies and project requirements. CPD 330 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Software Developer & Software Testing training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Software Developer & Software Testing. Please note, To get qualified you need to enrol the below programmes: International Software Testing Qualifications Board, Checkpoint Software Technologies, Pearson IT Specialist Software Developer, AAT Access Award in Accounting Software - Level 1, AAT Foundation Award in Accounting Software - Level 2, Certified Secure Software Lifecycle Professional (CSSLP), COB Certified Web Merchandiser, Certified Secure Web Applications Engineer (C)SWAE), Level 5 Diploma in IT Web Design, Certified Secure Web Applications Engineer (C)SWAE), Level 5 Diploma in IT Web Design, Cisco CCDA Developing Applications and Automating Workflows using Cisco Platforms (DEVASC) etc. Requirements To participate in this Software Developer & Software Testing course, all you need is - A smart device A secure internet connection And a keen interest in Software Developer & Software Testing. Career path You will be able to kickstart your Software Developer & Software Testing career because this course includes various courses as a bonus. This Software Developer & Software Testingis an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Software Developer & Software Testing career opportunities. Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

Duration 3.5 Days 21 CPD hours This course is intended for This course is for AWS Cloud Architects with expertise in designing and implementing solutions running on AWS who now want to design for Microsoft Azure. Overview After completing this course, students will be able to: Secure identities with Azure Active Directory and users and groups. Implement identity solutions spanning on-premises and cloud-based capabilities Apply monitoring solutions for collecting, combining, and analyzing data from different sources. Manage subscriptions, accounts, Azure policies, and Role-Based Access Control. Administer Azure using the Resource Manager, Azure portal, Cloud Shell, and CLI. Configure intersite connectivity solutions like VNet Peering, and virtual network gateways. Administer Azure App Service, Azure Container Instances, and Kubernetes. This course teaches Solutions Architects who have previously designed for Amazon Web Services how to translate business requirements into secure, scalable, and reliable solutions for Azure. Introduction to Azure Subscriptions and accounts Resource groups and templates in Azure Resource Manager Azure global infrastructure Azure regions Azure Availability Zones Comparison with AWS Implement Azure Active Directory Introduction to Azure Active Directory Domains and custom domains Safety features Guest users in Azure Active Directory Manage multiple directories Comparison with AWS Implement and manage hybrid identities Introduction to Azure AD Connect Comparison with AWS Implement virtual networking Azure Virtual Network and VNet peering VPN and ExpressRoute connections Comparison with AWS Implement VMs for Windows and Linux Configure high availability Comparison with AWS Implement load balancing and network security Implement Azure Load Balancer Implement an Azure Application Gateway Implement Azure Firewall Implement network security groups and application security groups Comparison with AWS Implement container-based applications Configure Azure Kubernetes Service Publish a solution on an Azure Container Instance Comparison with AWS Implement an application infrastructure Create an App Service plan Create and configure Azure App Service Configure networking for an App Service Introduction to Logic Apps and Azure Functions Comparison with AWS Implement storage accounts Azure Storage core concepts Managing the Azure Blob storage lifecycle Working with Azure Blob storage Comparison with AWS Implement NoSQL databases Introduction to Azure Cosmos DB Consistency Select appropriate CosmosDB APIs Set up replicas in CosmosDB Comparison with AWS DynamoDB Implement Azure SQL databases Configure Azure SQL database settings Implement Azure SQL Database managed instances Configure high availability for an Azure SQL database Comparison with AWS Implement cloud infrastructure monitoring Monitor security Monitor cost Configure a Log Analytics workspace Comparison with AWS Implement and manage Azure governance solutions Assign RBAC roles Configure management access to Azure Implement and configure an Azure Policy Comparison with AWS Manage security for applications Implement Azure Key Vault Implement and configure Azure AD Managed Identities Register and manage applications in Azure AD Comparison with AWS Migration, backup, and disaster recovery management Migrate workloads Implement Azure Backup for VMs Implement disaster recovery Comparison with AWS