307 History courses in Torquay delivered Live Online

SAP HANA Training | Online Courses | UK Provider Stay Ahead of the competition by gaining skills on SAP HANA with Osborne Training. SAP HANA training builds the foundation for seamless SAP applications, which helps deliver ground-breaking innovations without disruption. SAP HANA provides powerful features like significant processing speed, predictive capabilities, the ability to handle large amount of data, and text mining capabilities. SAP HANA course is designed to make you ready for SAP certification and Job market. Introduction In-Memory Computing Evolution of In-Memory computing at SAP History of SAP HANA HANA compare to BWA In-Memory Basics HANA Use cases Architecture Hana Engine Overview Different HANA Engine Types Row Store Column Store Persistency Layer Business Impact of new architecture Backup & Recovery Modeling Key Concepts in Data Modeling Components of HANA data model & Views Analytical ViewsAttribute viewsCalculation ViewsJoins Measures Filters Real Time Scenarios HANA SQL Intro Functions & Expressions Procedures Data Provisioning Overview Trigger Based Replication ETL Based Replication Log Based Replication Intro to BODS 4 Basic Data service Connection types Flat File upload in to HANA Reporting Connectivity options Business Objects BI 4 Security Creating Users Creating Roles Privileges User Administration

This is designed to be an introduction into how to start a room by room survey using the new CAD Heat Engineer feature, using the online dashboard. We will then go through the different steps to complete this heat loss report. Optional pages will also be worked through and shown. Examples of how to select the flow temperature and the heat source (heat pumps and boilers) will be presented once the heat loss result is completed.

Duration 2 Days 12 CPD hours This course is intended for This SQL training course is designed for students new to writing SQL queries. Overview Upon successful completion of this course, students will be able to: - Understand how relational databases work - Use SQL to output reports - Write queries to obtain data from multiple tables. Students will learn SQL to build applications or to generate business reports.The SQL learned in the course is applicable to all major databases. Relational Database Basics Brief History of SQL Relational Databases Popular Databases SQL Statements Simple SELECTs Introduction to the Northwind Database Some Basics SELECTing All Columns in All Rows Exploring the Tables SELECTing Specific Columns Sorting Records The WHERE Clause and Operator Symbols Using the WHERE clause to check for equality or inequality Using the WHERE clause to check for greater or less than Checking for NULL Using WHERE and ORDER BY Together The WHERE Clause and Operator Words More SELECTs with WHERE Checking Multiple Conditions Writing SELECTs with Multiple Conditions Advanced SELECTs Calculated Fields Calculating Fields Aggregate Functions and Grouping Working with Aggregate Functions Built-in Data Manipulation Functions Data Manipulation Functions Subqueries, Joins and Unions Subqueries Joins Using Joins Outer Joins Unions Working with Unions If time allows, one or more of the following may be covered: Conditional Processing with CASE INSERT, UPDATE, DELETE Student Challenges - Design your own reports

Come and learn the basics of Kinesiology in this fun, interactive online course. The modules covered include History of Kinesiology The 7 Factors of the Intervertebral Foramina How to Muscle Test A Kinesiologist Toolkit Testing for Hydration Testing for Protein Deficiency Kinesiology Food Sensitivity Testing Emotional Stress Release How to become a Kinesiology Professional Learning Objectives Your takeaways from the Introduction to Kinesiology course will include the ability to: Understand the origins of Kinesiology Explain the toolkit of a Kinesiologist Perform a basic muscle test Describe the different muscle tests for protein deficiency and hydration Understand how food sensitivity muscle testing works Implement basic Kinesiology tools such as Emotional Stress Release

We have expanded our asbestos awareness courses to specifically cover the awareness of asbestos in soils, made-ground and construction and demolition materials. Essential for geotechnical engineers, plant operators, civil engineering contractors and ground workers.

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Duration 0.5 Days 3 CPD hours This course is intended for This course is primarily designed for business leaders, consultants, product and project managers, and other decision-makers who are interested in growing the business by leveraging the power of AI. Other individuals who wish to explore basic AI concepts are also candidates for this course. This course is also designed to assist students in preparing for the CertNexus AIBIZ™ (Exam AIZ-210) credential. Overview In this course, you will identify ways in which AI can bring significant value to the business. You will: Describe AI fundamentals. Identify the functions of AI in business. Implement business requirements for AI. Artificial intelligence (AI) is not just another technology or process for the business to consider?it is a truly disruptive force, one that delivers an entirely new level of results across business sectors. Even organizations that resist adopting AI will feel its impact. If the organization wants to thrive and survive in this transforming business landscape, it will need to harness the power of AI. This course is designed to help business professionals conquer and move beyond the basics of AI to apply AI concepts for the benefit of the business. It will give you the essential knowledge of AI you'll need to steer the business forward. Lesson 1: AI Fundamentals Topic A: A Brief History of AI Topic B: AI Concepts Lesson 2: Functions of AI in Business Topic A: Improve User Experiences Topic B: Segment Audiences Topic C: Secure Assets Topic D: Optimize Processes Lesson 3: Implementing Business Requirements for AI Topic A: Identify Design Requirements Topic B: Identify Data Requirements Topic C: Identify Risks in Implementing AI Topic D: Develop an AI Strategy

We have expanded our asbestos awareness courses to specifically cover the awareness of asbestos in soils, made-ground and construction and demolition materials. Essential for geotechnical engineers, plant operators, civil engineering contractors and ground workers. The content of this course is designed to provide anyone whose work could foreseeably expose them to asbestos with sufficient knowledge to avoid putting themselves or others at risk, in line with regulatory requirements laid out in Control of Asbestos Regulations 2012, and specifically for those working on land with potential asbestos-contamination.

This is an essential programme for managers or members of staff (or students) who need to be able to read and summarise information on screen faster and more effectively. The session focuses on the different types of reading style and encourages better retention of written material through the use of specific speed-reading techniques. By the end of this programme participants will be able to: Explain the principles of speed reading Understand the barriers to reading Use different reading styles according to the information being read Read more effectively from tablet and computer screens Co-ordinate eye movements better Minimise any poor reading habits Increase reading speed by over 50%, without losing comprehension Improve retention of information using specific techniques The programme focuses on how to maximise reading from electronic devices by exploring techniques which will reduce eyestrain and improve reading effectiveness. The session also explains different types of reading styles and how to learn new, positive reading habits. 1 An introduction to speed reading The history of speed reading Assumptions about reading The process of reading Schema and its influence on interpretation Eye/brain relationship How our brain processes written information 2 Minimising barriers to reading Understanding eye tics Mouthing The influence of different light sources Body clocks and making use of natural patterns 3 Reading styles Importance of choosing the right reading style Speeds and their influence on retention Reading for pleasure Proof reading Scanning Skimming Reading for retention SQRW principles 4 Reading from electronic devices The challenge of reading from screens Importance of breaks and proper display screen evaluation Calibrating screens and background colours Formatting documents Using eye guides

One to One English Book Club. Practise and develop your English online in this individual English book club course.