6140 Software courses

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Duration 3 Days 18 CPD hours Discover and explore how to use the fundamental building blocks of the Swift programming language. class will teach you the basic concepts of Swift programming, including syntax, logic, structures, functions, and patterns. It also includes detailed explanations of language syntax and coding exercises. Introduction to Swift Constants, Variables, and Data TypesOperatorsControl FlowStrings & FunctionsStructures & ClassesOptionalsCollectionsLoopsType CastingGuard StatementsScope & EnumerationsProtocolsClosuresExtensions

Duration 5 Days 30 CPD hours This course is intended for This course is designed for Java developers who want to learn more about the specifications that comprise the world of Java Enterprise Edition (Java EE). Overview As a result of attending this course, you should be able to describe most of the specifications in Java EE 7 and create a component with each specification. You will be able to convert a Java SE program into a multi-tiered Java EE application. You should be able to demonstrate these skills: Describe the architecture of multi-tiered Java EE applications. Package Java EE applications and deploy to Red Hat JBoss Enterprise Application Platform with various tools. Create an Enterprise Java Bean instance. Manage the persistence of data using Java Persistence API. Create a web service using JAX-RS. Properly apply context scopes to beans and inject resources into Java Beans. Store and retrieve messages using the Java Messaging Service. Secure a Java EE application. Red Hat Application Development I: Programming in Java EE with exam (AD184) exposes experienced Java Standard Edition (Java SE) developers to the world of Java Enterprise Edition (Java EE). This course is based on Red Hat© Enterprise Application Platform 7.0. This course is a combination of Red Hat Application Development I: Programming in Java EE (AD183) and Red Hat Certified Enterprise Application Developer Exam (EX183). In this course, you will learn about the various specifications that make up Java EE. Through hands-on labs, you will transform a simple Java SE command line application into a multi-tiered enterprise application using various Java EE specifications, including Enterprise Java Beans, Java Persistence API, Java Messaging Service, JAX-RS for REST services, Contexts and Dependency Injection (CDI), and JAAS for securing the application. Transition to multi-tiered applications Describe Java EE features and distinguish between Java EE and Java SE applications. Package and deploying applications to an application server Describe the architecture of a Java EE application server, package an application, and deploy the application to an EAP server. Create Enterprise Java Beans Develop Enterprise Java Beans, including message-driven beans. Manage persistence Create persistence entities with validations. Manage entity relationships Define and manage JPA entity relationships. Create REST services Create REST APIs using the JAX-RS specification. Implement Contexts and Dependency Injection Describe typical use cases for using CDI and successfully implement it in an application. Create messaging applications with JMS Create messaging clients that send and receive messages using the JMS API. Secure Java EE applications Use JAAS to secure a Java EE application. Comprehensive review of Red Hat JBoss Development I: Java EE Demonstrate proficiency of the knowledge and skills obtained during the course. Additional course details: Nexus Humans Red Hat Application Development I: Programming in Java EE with exam (AD184) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Red Hat Application Development I: Programming in Java EE with exam (AD184) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Data Analyst (Data Analytics) - CPD Certified Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analytics Course. This Data Analytics Course describes the fundamentals of data, statistics, and an introduction to data analytics. How to get data and where to find it is explained in the Data Analytics Course. Moreover, this Data Analytics Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analytics Course provides an introduction to Python and Excel for data analytics. This thorough Data Analytics Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python). Enrol in our Data Analytics Course to study the fundamentals of statistical analysis and machine learning. Special Offers of this Data Analyst (Data Analytics) Course Data Analyst (Data Analytics) Course includes a FREE PDF Certificate. Lifetime access to this Data Analyst (Data Analytics) Course Instant access to this Data Analyst (Data Analytics) Course Get FREE Tutor Support from Monday to Friday in this Data Analyst (Data Analytics) Course Courses are included in this Data Analyst (Data Analytics) Course Course 01: Cyber Security Course 02: GDPR Course 03: Business Administration [ Note: Free PDF certificate as soon as completing the Data Analyst (Data Analytics) Course] Course Curriculum of Data Analyst (Data Analytics) - CPD Certified Module 1: Introduction to Data Analytics Module 2: Basics of Data and Statistics Module 3: Data Collection and Sources Module 4: Data Cleaning and Preprocessing Module 5: Exploratory Data Analysis (EDA) Module 6: Introduction to Excel for Data Analytics Module 7: Introduction to Python for Data Analytics Module 8: Data Wrangling with Pandas (Python) Module 9: Data visualisation with Matplotlib and Seaborn (Python) Module 10: Introduction to Basic Statistical Analysis Module 11: Introduction to Machine Learning Module 12: Capstone Project - Exploratory Data Analysis Assessment Method After completing each module of the Data Analyst (Data Analytics) Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Data Analyst (Data Analytics) course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Data Analyst (Data Analytics) - CPD Certified For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analytics Course is ideal. Requirements There are no specific requirements for Data Analyst (Data Analytics) Course because it does not require any advanced knowledge or skills. Career path Data Analyst (Data Analytics) - CPD Certified This Data Analytics Course will assist you in obtaining positions as a business analyst, marketing analyst, data analyst, and in related fields. Certificates Certificate of completion Digital certificate - Included

Description The Oracle Database server composes PL/SQL units and stores it in the database. Mainly, PL/SQL functions to hold to hold SQL declaration within its sentence structure. Do you want to know more about SL/SQL function? How does it bring optimal proficiency in 'procedural language'? if so, take a look at the Oracle 11g PL/SQL Intermediate course. It will assist you in understanding all you need to know about Oracle 11g PL/SQL. The course designs to help the learners to know its function incorporation with different strings, numbers, table row record, and error management. The Oracle 11g PL/SQL Intermediate course teaches the fundamental form and structure of the program unit saved within database, creating and managing stored methods, functions, packaged programs, and database prompts. Its contents aim to take you further in your quest to teach the effective methods including variables and cursor expressions. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Oracle 11g PL/SQL Intermediate is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Oracle 11g PL/SQL Intermediate is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction Introduction FREE 00:03:00 Preparing Your Environment Install Oracle XE 00:11:00 SQL Developer Installation 00:20:00 Workstation Setup 00:12:00 Database Program Units Introducing the Database Program Unit 00:19:00 Working with Stored Procedures and Functions Creating Stored Procedures and Functions 00:19:00 Understanding the Parameter Specification 00:23:00 Executing Procedures and Functions 00:26:00 Calling Functions from within SQL 00:13:00 Handling Compilation Errors 00:08:00 Maintaining Stored Procedures and Functions Recompiling and Dropping Programs 00:16:00 Data Dictionary Storage 00:25:00 Managing Dependencies 00:13:00 Tracking Dependencies 00:08:00 Using the Dependency Tracking Utility 00:09:00 Creating and Maintaining Packages What Is a Package? 00:10:00 Creating a Package 00:19:00 Package Definition Information 00:08:00 Advanced Programming Techniques 00:06:00 Using Persistent Global Objects 00:04:00 Including Initialization Logic 00:15:00 Object Oriented Support within Packages 00:14:00 Package Maintenance 00:18:00 Advanced Cursor Techniques Learning to Use Cursor Variables 00:24:00 Advanced Cursor Techniques Weak Cursor Definitions 00:16:00 REFCURSOR Cursor Definition 00:05:00 Using Cursor Expression 00:14:00 Using System Supplied Packages Using the DBMS OUTPUT() Package 00:12:00 Using the UTL FILE() Package 00:30:00 Creating Database Triggers Understanding the Database Trigger 00:23:00 Statement-Level Triggers 00:23:00 Row-Level Triggers 00:12:00 Row Level Trigger Example 1 00:11:00 Row Level Trigger Example 2 00:07:00 Row Level Trigger Example 3 00:08:00 Working with the INSTEAD OF Trigger 00:11:00 Using Triggers within an Application 00:09:00 Trigger Maintenance Using the CALL Statement 00:09:00 Trigger Maintenance Tasks 00:12:00 Work with Multiple Triggers for a Single Table 00:11:00 Handling Mutating Table Issues 00:22:00 Using the Compound Trigger 00:06:00 Working with System Event Triggers What Is a System Event Trigger 00:05:00 Defining Scope 00:04:00 Identifying Available System Events 00:12:00 Conclusion Conclusion 00:02:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Do you currently own an iPhone and curious on how you can utilise its apps? Or are you someone who develops apps? Either way, this course will be perfect for you and your needs! Description: There are lots of people who use iPhone as their main phones. If ever you want to do marketing and have them to your target market, then you will surely have a large size market. In this course, you will be introduced to iPhone and its apps. You will be taught how to grab opportunities for profit through creating apps. You will be guided to think for app ideas that iPhone users will download, and you will be able to develop it the way they want it to be. Then you will know how to market your app, leveraging the app market and know other ways to generate income with apps. Who is the course for? Budding photographers and those looking to develop their originality and keen eye for form, composition, colour and an individuality and distinction in their photo taking People who have an interest in iPhones apps and marketing Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The iPhone Apps Creating & Marketing Diploma course is a useful qualification to possess, and would be beneficial for the following careers: iOs Developer iPhone Apps Developer Marketing Manager Sales Specialist Social Content Creator. iPhone Apps Creating & Marketing Diploma Introduction 00:15:00 Potential Opportunities for Earning 00:30:00 Brainstorming your App Ideas 01:00:00 Developing your App 01:00:00 Marketing your App 01:00:00 Leveraging the App Market 01:00:00 Other Ways to Generate Income with Apps 01:00:00 Conclusion 00:15:00 Resources 00:30:00 Additional Supporting Materials iOS Development 00:00:00 iOS 10 App Essentials 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Unlock the power of AI with our ChatGPT Tutorial for Beginners. Learn to craft prompts, create content, and enhance your skills with AI text generation.

Introduce kids and beginners to the world of coding with our Python Programming course. From setting up environments to creating projects, unlock the basics of Python in a fun and interactive way.

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Overview With the ever-increasing demand for Google Workspace in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Google Workspace may be. Learning about Google Workspace or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Google Workspace . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Google Workspace is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Google Workspace course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Google Workspace course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Google Workspace course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Google Workspace , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Google Workspace , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Google Workspace , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Google Workspace course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. Course Curriculum Module 01 Getting Started with Google Workspace Getting Started with Google Workspace 00:00 Module 02 Managing Files and Folders in Google Drive Managing Files and Folders in Google Drive 00:00 Module 03 Performing Common Tasks in Google Docs, Google Sheets, and Google Slides Performing Common Tasks in Google Docs, Google Sheets, and Google Slides 00:00 Module 04 Working in Google Docs Working in Google Docs 00:00 Module 05 Sharing and Collaborating on Files Sharing and Collaborating on Files 00:00 Module 06 Working in Google Sheets Working in Google Sheets 00:00 Module 07 Working in Google Slides Working in Google Slides 00:00 Module 08 Organising Your Life Organising Your Life 00:00