289 Courses in Cardiff delivered Live Online

Duration 4 Days 24 CPD hours This course is intended for This course is best suited to developers, engineers, and architects who want to use use Hadoop and related tools to solve real-world problems. Overview Skills learned in this course include:Creating a data set with Kite SDKDeveloping custom Flume components for data ingestionManaging a multi-stage workflow with OozieAnalyzing data with CrunchWriting user-defined functions for Hive and ImpalaWriting user-defined functions for Hive and ImpalaIndexing data with Cloudera Search Cloudera University?s four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH). IntroductionApplication Architecture Scenario Explanation Understanding the Development Environment Identifying and Collecting Input Data Selecting Tools for Data Processing and Analysis Presenting Results to the Use Defining & Using Datasets Metadata Management What is Apache Avro? Avro Schemas Avro Schema Evolution Selecting a File Format Performance Considerations Using the Kite SDK Data Module What is the Kite SDK? Fundamental Data Module Concepts Creating New Data Sets Using the Kite SDK Loading, Accessing, and Deleting a Data Set Importing Relational Data with Apache Sqoop What is Apache Sqoop? Basic Imports Limiting Results Improving Sqoop?s Performance Sqoop 2 Capturing Data with Apache Flume What is Apache Flume? Basic Flume Architecture Flume Sources Flume Sinks Flume Configuration Logging Application Events to Hadoop Developing Custom Flume Components Flume Data Flow and Common Extension Points Custom Flume Sources Developing a Flume Pollable Source Developing a Flume Event-Driven Source Custom Flume Interceptors Developing a Header-Modifying Flume Interceptor Developing a Filtering Flume Interceptor Writing Avro Objects with a Custom Flume Interceptor Managing Workflows with Apache Oozie The Need for Workflow Management What is Apache Oozie? Defining an Oozie Workflow Validation, Packaging, and Deployment Running and Tracking Workflows Using the CLI Hue UI for Oozie Processing Data Pipelines with Apache Crunch What is Apache Crunch? Understanding the Crunch Pipeline Comparing Crunch to Java MapReduce Working with Crunch Projects Reading and Writing Data in Crunch Data Collection API Functions Utility Classes in the Crunch API Working with Tables in Apache Hive What is Apache Hive? Accessing Hive Basic Query Syntax Creating and Populating Hive Tables How Hive Reads Data Using the RegexSerDe in Hive Developing User-Defined Functions What are User-Defined Functions? Implementing a User-Defined Function Deploying Custom Libraries in Hive Registering a User-Defined Function in Hive Executing Interactive Queries with Impala What is Impala? Comparing Hive to Impala Running Queries in Impala Support for User-Defined Functions Data and Metadata Management Understanding Cloudera Search What is Cloudera Search? Search Architecture Supported Document Formats Indexing Data with Cloudera Search Collection and Schema Management Morphlines Indexing Data in Batch Mode Indexing Data in Near Real Time Presenting Results to Users Solr Query Syntax Building a Search UI with Hue Accessing Impala through JDBC Powering a Custom Web Application with Impala and Search

Duration 2.75 Days 16.5 CPD hours This course is intended for Complete beginners who have never programmed before to experienced developers coming from another programming language. Overview You will learn how to leverage the power of Python to solve tasks. You will build games and programs that use Python libraries. You will be able to use Python for your own work problems or personal projects. You will create a portfolio of Python based projects you can share. Learn to use Python professionally, learning both Python 2 and Python 3! Create games with Python, like Tic Tac Toe and Blackjack! Learn advanced Python features, like the collections module and how to work with timestamps! Learn to use Object Oriented Programming with classes! Understand complex topics, like decorators. Understand how to use both the Jupyter Notebook and create .py files Get an understanding of how to create GUIs in the Jupyter Notebook system! Build a complete understanding of Python from the ground up! Our Introduction to Python course is designed to take complete beginners or experienced developers up to speed on Python?s capabilities, setting up students for success in using Python for their specific field of expertise. Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3. Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, scraping websites for information, working with image files, and much more! This course will teach you Python in a practical manner and provides a full coding screencast and a corresponding code notebook to review the concepts and exercises conducted in class. Please note, this course is able to be offered in either 3 full day sessions or 5 partial day sessions. See the schedule below. This course includes 6-months access to the full course content in on-demand format to support post-class reference and review. Command Line Basics Python System Setup Jupyter Notebooks Python Data Types Key Data Structures Logic and Control Flow Functions Debugging Modules Object Oriented Programming File I/O Testing Decorators Generators Automation of Tasks Web Scraping Graphical User Interfaces Additional course details: Nexus Humans Introduction to Python 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 Introduction to Python 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.

Duration 2 Days 12 CPD hours This course is intended for This course is relevant to anyone who needs to work with and understand data including: Business Analysts, Data Analysts, Reporting and BI professionals Marketing and Digital Marketing professionals Digital, Web, e-Commerce, Social media and Mobile channel professionals Business managers who need to interpret analytical output to inform managerial decisions Overview This course will cover the basic theory of data visualization along with practical skills for creating compelling visualizations, reports and dashboards from data using Tableau. Outcome: After attending this course delegates will understand - How to move from business questions to great data visualizations and beyond How to apply the fundamentals of data visualization to create informative charts How to choose the right visualization type for the job at hand How to design and develop basic dashboards in Tableau that people will love to use by doing the following: Reading data sources into Tableau Setting up the roles and data types for your analysis Creating new data fields using a range of calculation types Creating the following types of charts - cross tabs, pie and bar charts, geographic maps, dual axis and combo charts, heat maps, highlight tables, tree maps and scatter plots Creating Dashboards that delight using the all of the features available in Tableau. The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to tourism. From Business Questions to Data Visualisation and Beyond The first step in any data analysis project is to move from a business question to data analysis and then on to a complete solution. This section will examine this conversion emphasizing: The use of data visualization to address a business need The data analytics process ? from business questions to developed dashboards Introduction to Tableau ? Part 1 In this section, the main functionality of Tableau will be explained including: Selecting and loading your data Defining data item properties Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations Creating basic visualizations Creating a basic dashboard Introduction to Tableau ? Part 2 In this section, the main functionality of Tableau will be explained including: Selecting and loading your data Defining data item properties Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations Creating basic visualizations Creating a basic dashboard Key Components of Good Data Visualisation and The Visualisation Zoo In this section the following topics will be covered: Colour theory Graphical perception & communication Choosing the right chart for the right job Data Exploration with Tableau Exploring data to answer business questions is one of the key uses of applying good data visualization techniques within Tableau. In this section we will apply the data visualization theory from the previous section within Tableau to uncover trends within the data to answer specific business questions. The types of charts that will be covered are: Cross Tabs Pie and bar charts Geographic maps Dual axis and combo charts with different mark types Heat maps Highlight tables Tree maps Scatter plots Introduction to Building Dashboards with Tableau In this section, we will implement the full process from business question to final basic dashboard in Tableau: Introduction to good dashboard design Building dashboards in Tableau

Duration 0.75 Days 4.5 CPD hours This course is intended for Making Microsoft Word documents accessible. Overview Please refer to Overview. During this course students will interact with a variety of Word documents and review components that would render the document inaccessible. Students will enable the Accessibility Checker and the Speak feature and progress through the processes and procedures to meet the AODA mandate. Students will ultimately create an accessible set of styles and use those styles within the document. Adding the Accessibility Checker and the Speak feature Discussions will follow as to the limitations of the checker When the checker won?t run Document Metadata Students will review where and why to add metadata to a Word Document Setting the application language and setting the document language Setting the document title Adding the Author and subject metadata fields Creating Accessible Paragraphs and Columns Students will see the perils of incorrect use of hard returns and text boxes within a document Exercises will have students work with paragraph formatting and column formatting for accessibility Creating Accessible Tables Students will interact with tables that are poorly designed and restricted them to still maintain content but that are now accessible Discussions will surround, changes to how tables are handled when sending to PDF Accessible Imagery Students will discuss the need to images with a document The Alternate text feature will be used and the rationale for adding specific types of descriptions Students will see and understand the rationale for ?in-line- imagery Styles for Navigation Students will use and modify the built-in styles feature of Microsoft Word and create a table of contents Students will see with the use of the navigation pane, how styles impact accessibility Students will also understand the importance of proper styles nesting Headers, Footers and Footnotes Students will discuss and then implement accessible headers and footers Students will discuss footnotes and alternative methods to provide footnotes Verifying Reading Order Students will ?listen? to their documents using the Speak feature Students will enable the selection pane as an accessibility tools and discuss its limitations Creating an Accessible Style Template Students will create several accessible styles including headings and paragraphs Students will save the style within a template Additional course details: Nexus Humans Accessible Documents 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 Accessible Documents 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.

GRE Preparation - Verbal and Analytical Writing Course Overview: This course is designed to help learners prepare effectively for the GRE Verbal and Analytical Writing sections. Focusing on the key skills required for success in these areas, it equips learners with proven strategies to excel. By covering all aspects of verbal reasoning, reading comprehension, text completions, sentence equivalence, and analytical writing, the course provides in-depth preparation that leads to improved performance. Learners will develop their ability to analyse complex texts, improve their vocabulary, and refine their writing skills, essential for achieving a competitive GRE score. Course Description: The GRE Preparation - Verbal and Analytical Writing course provides comprehensive coverage of the verbal reasoning and writing sections of the GRE. It includes lessons on reading comprehension, the six critical question types, pivotal words, sentence structure, and writing techniques. The course utilises a variety of methods to strengthen analytical thinking, reading skills, and writing proficiency. Learners will acquire the tools to tackle both the Verbal and Analytical Writing sections effectively. Through structured content and engaging exercises, this course builds confidence and prepares individuals for the GRE with focused skill-building and practice. GRE Preparation - Verbal and Analytical Writing Curriculum: Module 01: Verbal Section – Orientation Module 02: Reading Comprehension Introduction Module 03: The Six Questions Module 04: Pivotal Words Module 05: The Three-Step Method Module 06: Text Completions Module 07: Sentence Equivalence Module 08: Writing (See full curriculum) Who is this course for? Individuals seeking to enhance their GRE score Professionals aiming to pursue graduate studies Beginners with an interest in GRE preparation Anyone looking to strengthen their verbal and writing skills for graduate-level tests Career Path Graduate school applicants Research assistants Academic advisors Educational consultants Policy analysts

Duration 5 Days 30 CPD hours This course is intended for This introductory-level Python course is geared for experienced web developers new to Python who want to use Python and Django for full stack web development projects. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Develop full-stack web sites based on content stored in an RDMS Use python data types appropriately Define data models Understand the architecture of a Django-based web site Create Django templates for easy-to-modify views Map views to URLs Take advantage of the built-in Admin interface Provide HTML form processing Geared for experienced web developers new to Python, Introduction to Full Stack Web Development with Python and Django is a five-day hands-on course that teaches students how to develop Web applications using the Django framework. Students will explore the basics of creating basic applications using the MVC (model-view-controller) design pattern, as well as more advanced topics such as administration, session management, authentication, and automated testing. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world. The Python Environment Starting Python Using the interpreter Running a Python script Getting help Editors and IDEs Getting Started Using variables Built in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control Conditional expressions Relational and Boolean operators while loops Lists and Tuples About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Working with Files File overview The with statement Opening a file Reading/writing files Dictionaries and Sets About dictionaries Creating and using dictionaries About sets Creating and using sets Functions Returning values Function parameters Variable Scope Sorting with functions Errors and Exception Handling Exception overview Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages Creating Modules The import statement Module search path Creating packages Classes About OO programming Defining classes Constructors Properties Instance methods and data Class/static methods and data Inheritance Django Architecture Django overview Sites and apps Shared configuration Minimal Django layout Built in flexibility Configuring a Project Executing manage.py Starting the project Generating app files App configuration Database setup The development server Using cookiecutter Creating models Defining models Related objects SQL Migration Simplel model access Login for Nothing and Admin for Free Setting up the admin user Using the admin interface Views What is a view HttpResponse URL route configuration Shortcut: get_object_or_404() Class-based views Templates About templates Variable lookups The url tag Shortcut: render() Querying Models QuerySets Field lookups Chaining filters Slicing QuerySets Related fields Q objects Advanced Templates Use Comments Inheritance Filters Escaping HTML Custom filters Forms Forms overview GET and POST The Form class Processing the form Widgets Validation Forms in templates Automated Testing Why create tests? When to create tests Using Django's test framework Using the test client Running tests Checking code coverage

Our SAT preparation courses are designed to help you achieve your highest score and open doors to top universities. We offer flexible options, including long-term, short-term, and intensive courses, to fit your schedule and learning style. Suitable for all levels, our courses cover all sections of the SAT, including Reading and Writing, with personalised strategies to boost your performance. To start, we provide a free consultation with one of our SAT experts to discuss your goals, along with a diagnostic test to determine your current level. The three-week course - Practice Questions 1750+ - Practice Exams 3 - Essay Feedback - Score Predictor The six-week course - Practice Questions 2250+ - Practice Exams 6 - Essay Feedback - Score Predictor The 52-week course - Practice Questions 7100+ - Practice Exams 15 - Essay Feedback - Score Predictor

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Duration 4 Days 24 CPD hours This course is intended for This course is best suited to systems administrators and IT managers. Overview Skills gained in this training include:Determining the correct hardware and infrastructure for your clusterProper cluster configuration and deployment to integrate with the data centerConfiguring the FairScheduler to provide service-level agreements for multiple users of a clusterBest practices for preparing and maintaining Apache Hadoop in productionTroubleshooting, diagnosing, tuning, and solving Hadoop issues Cloudera University?s four-day administrator training course for Apache Hadoop provides participants with a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster. The Case for Apache Hadoop Why Hadoop? Core Hadoop Components Fundamental Concepts HDFS HDFS Features Writing and Reading Files NameNode Memory Considerations Overview of HDFS Security Using the Namenode Web UI Using the Hadoop File Shell Getting Data into HDFS Ingesting Data from External Sources with Flume Ingesting Data from Relational Databases with Sqoop REST Interfaces Best Practices for Importing Data YARN & MapReduce What Is MapReduce? Basic MapReduce Concepts YARN Cluster Architecture Resource Allocation Failure Recovery Using the YARN Web UI MapReduce Version 1 Planning Your Hadoop Cluster General Planning Considerations Choosing the Right Hardware Network Considerations Configuring Nodes Planning for Cluster Management Hadoop Installation and Initial Configuration Deployment Types Installing Hadoop Specifying the Hadoop Configuration Performing Initial HDFS Configuration Performing Initial YARN and MapReduce Configuration Hadoop Logging Installing and Configuring Hive, Impala, and Pig Hive Impala Pig Hadoop Clients What is a Hadoop Client? Installing and Configuring Hadoop Clients Installing and Configuring Hue Hue Authentication and Authorization Cloudera Manager The Motivation for Cloudera Manager Cloudera Manager Features Express and Enterprise Versions Cloudera Manager Topology Installing Cloudera Manager Installing Hadoop Using Cloudera Manager Performing Basic Administration Tasks Using Cloudera Manager Advanced Cluster Configuration Advanced Configuration Parameters Configuring Hadoop Ports Explicitly Including and Excluding Hosts Configuring HDFS for Rack Awareness Configuring HDFS High Availability Hadoop Security Why Hadoop Security Is Important Hadoop?s Security System Concepts What Kerberos Is and How it Works Securing a Hadoop Cluster with Kerberos Managing and Scheduling Jobs Managing Running Jobs Scheduling Hadoop Jobs Configuring the FairScheduler Impala Query Scheduling Cluster Maintainence Checking HDFS Status Copying Data Between Clusters Adding and Removing Cluster Nodes Rebalancing the Cluster Cluster Upgrading Cluster Monitoring & Troubleshooting General System Monitoring Monitoring Hadoop Clusters Common Troubleshooting Hadoop Clusters Common Misconfigurations Additional course details: Nexus Humans Cloudera Administrator Training for Apache Hadoop 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 Administrator Training for Apache Hadoop 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.

Course Overview: The "Technical Analysis Masterclass for Trading & Investing" is a comprehensive course designed to equip learners with the essential skills to make informed trading and investment decisions using technical analysis. Covering a wide range of topics, from candlestick patterns to advanced trading strategies, this course empowers learners to interpret market data and identify trends effectively. By the end of the course, participants will have a solid understanding of how to analyse price movements, recognise key patterns, and apply strategies to improve their decision-making. With an emphasis on real-world applicability, learners will be prepared to confidently navigate the markets and pursue trading and investment opportunities. Course Description: This in-depth course dives into the core concepts and techniques used in technical analysis, ideal for those looking to sharpen their trading and investment skills. Learners will explore topics such as candlestick patterns, chart patterns, and volume analysis to understand market behaviours. Key focus areas also include tape reading strategies and technical trading systems, which are critical for timing market entries and exits. The course provides a structured learning experience, guiding participants through different methods of interpreting market data and applying analytical strategies to both short- and long-term trading. By mastering these techniques, learners will develop the skills to assess market conditions, identify profitable trends, and execute informed investment decisions with confidence. Course Modules: Module 01: Introduction to Technical Analysis Overview of technical analysis and its importance in trading and investing Key concepts and tools used in technical analysis Market data types and interpretation Module 02: Candlestick Patterns and Analysis Introduction to candlestick charting Key candlestick patterns and their significance Identifying trends and reversals Module 03: Trade and Investment Chart Patterns Common chart patterns: head and shoulders, triangles, and more How to interpret chart patterns for trade signals Setting up price targets using chart patterns Module 04: Volume Analysis Understanding volume and its role in market analysis Volume indicators and their applications Volume-based trading strategies Module 05: Tape Reading Strategies Introduction to tape reading and its historical significance Techniques for interpreting market order flow Understanding supply and demand through tape reading Module 06: Technical Trading Strategies Popular technical analysis strategies for trading Risk management and strategy development Implementing strategies for both short and long positions Module 07: Trading Platform and Practice Overview of different trading platforms and their features Using charting tools and indicators in platforms Best practices for executing trades and managing portfolios (See full curriculum) Who is this course for? Individuals seeking to enhance their trading and investment knowledge. Professionals aiming to refine their analytical skills for better decision-making. Beginners with an interest in financial markets and technical analysis. Investors wanting to better understand charting techniques and market trends. Career Path: Stock Trader Investment Analyst Financial Consultant Portfolio Manager Market Research Analyst Risk Manager