5069 Courses

Java Threads Course Duration: 1 Day Who would find this course useful? Java coders Level: Not quite basics level. It specifically concentrates on Threads Principles (Threads) in Java. Download: Download Java JDK and Eclipse IDE. For classroom courses: Bring your own device. Java Threads Course description General Threads Concepts Java Threads Course Description General Threads Concepts Multithreading Cycle of a Thread Create a Thread by Implementing a Runnable Interface Create a Thread by Extending a Thread Class Major thread operations Processes and Threads, Thread Objects Thread Methods getName, getId, setName, etc Pausing Execution with Sleep Interrupts, Joins Thread Priorities Thread Pools Executors, Executor Interfaces, Thread Pools, Fork/Join Synchronozation What is thread synchronization? Thread Interference, Memory Consistency Errors, Synchronized Methods, Lock Objects, Intrinsic Locks and Synchronization, Handling interthread communication, Handling thread deadlock, Liveness, Starvation and Livelock, Atomic Access. Concurrent Collections Guarded Blocks, Immutable Objects. Strategy for Defining Immutable Objects, High Level Concurrency Objects, Java Threads Course, 1 Day What is included PCWorkshops Course Certificate on completion Java Threads Course Notes Java Threads Code Examples Practical exercises, Java Course Revision work After the course: 1-Hour personalised online revision session About us Our experienced trainers are award winners. More about us FAQ's Client Comments

This MS Access Advanced Course mostly covers creating advanced MS Access reports, forms, and macros. Create and amend Advanced Forms and Advanced Reports. Macro buttons. This assists you to build user-friendly forms to facilitate effective navigation, effective data capture and effective viewing and querying data This course will help you to structure MS Access tables, import, and manage your data effectively.

Java OOP Course Duration: 1 Day Who would find this course useful? This is useful if you have some coding skills already. This course is fast paced, not quite basics level. It specifically concentrates on Object Oriented Programming Principles (OOP) in Java. Download: Download Java JDK and Eclipse IDE. For classroom courses: Bring your own device. Java OOP Course description Session 1: General Concepts Revision: Scanner, Input from stdin, Print to stdout. Descision, While and For Loops Arrays Session 2: Packages, Methods, Encapsulation Using packages Creating and calling methods, parameters, method overloading Data protection through encapsulation Session 3: Classes, object construction Inheritance, method overload and override Polymorphism or runtime binding Session 4: Constructors, parameterised constructors Create abstract classes and methods Create and use an interface Session 5: Use the access modifiers protected and the default (package-friendly) Create static variables, methods, and initialisers Create final classes, methods, and variables Session 6: Nested Classes, Local Classes, Anonymous Classes, and Lambda Expressions, Enum Types Nested and inner classes; A stack class. What is included PCWorkshops Course Certificate on completion Java Course Notes Java Code Examples Practical Java Course exercises, Java Course Revision work After the course: 1-Hour personalised online revision session Book the Java OOP Course Powered by Eventbrite About us Our experienced trainers are award winners. More about us FAQ's Client Comments

Publisher Courses. With MS Publisher, combine text and photos illustrations to make professional newsletters publications. At our MS Publisher course, learn how to.

This Access Course concentrates on using creative queries, to extract data from large data sets to get insight from your data and report it. Learn and explore various query techniques from where clauses, to aggregation, joins and more. This private style tuition helps to maximise the value you get from the day.

Java JUnit Course Duration: 1 Day Who would find this course useful? This is useful if you have some Java coding skills already. Location: Attend from your internet connection. Download: Java JDK and Eclipse. Learn the basic principles of Unit Testing, using Java JUnit in this excellent, practical, interactive Java Webinar. In software testing, is the execution of tests and the comparison of actual outcomes with predicted outcomes. Test automation is the use of software to control these execution of tests. JUnit is a framenwork facilitating unit testing for the Java programming language. This 1 day course explains the use of JUnit for unit testing a Java project. By completing this tutorial you will gain sufficient knowledge in using JUnit testing framework from where you can take yourself to next levels. Java JUnit Course Description JUnit 1-Day Course Outline: Online, Instructor-Led, Practical, Personalised Overview: Different types of testing Principles of unit testing JUnit Environment Setup JUnit Test Framework JUnit Basic Usage JUnit API Writing a Tests Using Assertion Execution Procedure Executing Tests Suite Test Ignore Test Time Test Exceptions Test Parameterized Test Plug with Ant Plug with Eclipse JUnit Extensions What is included PCWorkshops Course Certificate on completion Java Course Notes Java Code Examples Practical Java Course exercises, Java Course Revision work After the course: 1-Hour personalised online revision session Book the Java JUnit Course Powered by Eventbrite About us Our experienced trainers are award winners. More about us FAQ's Client Comments

Duration: 1 Day Who would find this course useful? C++ coders. This course covers C++ programming principals and the syntax of all generally used C++ statements. Level: From beginners. For classroom courses: Bring your own device.

This course in Visual Data With Tableau covers the Fundamentals of Tableau Desktop. Tableau is brilliant software, very intuitive, for this purpose of data visualization. It is powerful in transforming data to reflect the insights that you plan to visualise

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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.

MS PowerPoint is really easy, but in this PowerPoint Training Courses, we cover most aspects in a fast-paced day, and attend the to more tricky aspects. This course is one-to-one to attend to specific aspects per delegate. Group training could be organised on request.