84 Magic courses in Stone delivered Live Online

The LMI Foundations of Success workshop introduces the concepts and practical tools used to help countless individuals within thousands of organisations, of all sizes and complexity in both the public and private sector, realise more of their true potential.

Duration 4 Days 24 CPD hours This course is intended for This course is appropriate for anyone who wants to create applications or modules to automate and simplify common tasks with Perl. Overview Working within in an engaging, hands-on learning environment, guided by our expert web development, PHP practitioner, students will learn to: Create a working script that gets input from the command line, the keyboard, or a file Use arrays to store and process data from files Create formatted reports Use regular expressions Use the appropriate types of variables and data structures Refactor duplicate code into subroutines and modules What is available in the standard library Use shortcuts and defaults, and what they replace Introduction to Perl Programming Essentials is an Introductory-level practical, hands-on Perl scripting training course that guides the students from the basics of writing and running Perl scripts to using more advanced features such as file operations, report writing, the use of regular expressions, working with binary data files, and using the extensive functionality of the standard Perl library. Students will immediately be able to use Perl to complete tasks in the real world. Session: An Overview of Perl What is Perl? Perl is compiled and interpreted Perl Advantages and Disadvantages Downloading and Installing Perl Which version of Perl Getting Help Session: Creating and running Perl Programs Structure of a Perl program Running a Perl script Checking syntax and warnings Execution of scripts under Unix and Windows Session: Basic Data and I/O Numeric and Text literals Math operators and expressions Scalar variables Default values Writing to standard output Command line arguments Reading from the standard input Session: Logic and Loops About flow control The if statement and Boolean values Using unless and elsif Statement modifiers warn() and die() The conditional construct Using while loop and its variants Using the for loop Exiting from loops Session: Lists and Arrays The list data type Accessing array elements Creating arrays List interpolation Arrays and memory Counting elements Iterating through an array List evaluation Slices and ranges Session: Reading and writing text files File I/O Overview Opening a file Reading text files Writing to a text file Arrays and file I/O Using the <> operator Session: List functions Growing and shrinking arrays The split() function Splitting on whitespace Assigning to literal lists The join() function The sort() function Alternate sort keys Reversing an array Session: Formatting output Using sprintf() and printf() Report formatting overview Defining report formats The write() function Advanced filehandle magic Session: Hashes Hash overview Creating hashes Hash attributes Traversing a hash Testing for existence of elements Deleting hash elements Session: References What is a reference? The two ways to create references References to existing data References to anonymous data Dereferencing scalar, array, and ash references Dereferencing elements of arrays and hashes Multidimensional arrays and other data structures Session: Text and Regular Expressions String length The substr() function The index() and rindex() functions String replication Pattern matching and substitution Regular expressions Session: Raw file and data access Opening and closing raw (binary) files Reading raw data Using seek() and tell() Writing raw data Raw data manipulation with pack() and unpack() Session: Subroutines and variable scope Understanding packages Package and Lexical variables Localizing builtin variables Declaring and calling subroutines Calling subroutines Passing parameters and returning values Session: Working with the operating system Determining current OS Environment variables Running external programs User identification Trapping signals File test operators Working with files Time of day Session: Shortcuts and defaults Understanding $_ shift() with no array specified Text file processing Using grep() and Using map() Command-line options for file processing Session: Data wrangling Quoting in Perl Evaluating arrays Understanding qw( ) Getting more out of the <> operator Read ranges of lines Using m//g in scalar context The /o modifier Working with embedded newlines Making REs more readable Perl data conversion Session: Using the Perl Library The Perl library Old-style library files Perl modules Modules bundled with Perl A selection of modules Getting modules from ActiveState Getting modules from CPAN Using Getopt::Long Session: Some Useful Tools Sending and receiving files with Net::FTP Using File::Find to search for files and directories Grabbing a Web page Some good places to find scripts Perl man pages for more information Zipping and unzipping files

Wanna learn something simple yet so amazing that it's going to blow your mind? Good, because this little workshop's a gem. Join Happy Human Training's Cami Rose as she shares her decades of experience as a counsellor and coach with an introduction to the power of noticing and the crucial role it can play in helping us better manage our day to day stresses, challenges and relationships.

When we come together to make SoulCollage® in community, amazing things happen. There is a magic in the paradoxes built into this journey that only requires you coming along with your curiosity and imagination. No artistic genius recquired whatsoever. Just your presence!

Learn to quilt from the comfort of your own home! Our online Patchwork for Beginners class provides comprehensive video tutorials and live Q&A sessions to guide you through the basics of patchwork. Master essential techniques, from fabric selection to creating stunning blocks. Start your quilting journey today!

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.

Develop more advanced training skills such as expert presentation, facilitation and coaching skills. Course overview Duration: 2 days (13 hours) This workshop is for people who want to take their personal skills as a trainer to the next level. It builds on the Underscore Level 1 Train the Trainer course.  In this Level 2 course delegates will develop more advanced training skills such as expert presentation, facilitation and coaching skills. In the modern world learning is often delivered in blended learning formats and this course will introduce delegates to the challenges of blended learning and how to introduce a range of delivery methods into programmes. Attendees will learn how to write more complex learning plans and integrate different methods and media into their plans. Objectives  By the end of the course you will be able to: Describe your Personal Training Style Explain how personality affects communication styles Use techniques to read delegates and adapt communications for greater impact Recognise the ‘games people play’ and how to deal with difficult behaviour Use techniques to establish credibility and enhance your reputation Identify the right approach to take when faced with a range of challenges Use advanced Presentation Skills Use facilitation and coaching skills for experiential workshops Use modern Training Methods and Media Deliver memorable training Note: Delegates attending this programme will be asked to complete an online psychometric in advance of attending the programme in order to help understand personal training styles Content Understanding your Personal Training Style Receive feedback from online Psychometric Understand personal training styles Understand personal communication and working style Understand the impact this has on audience Learn how to adapt your style for greater impact Growing your reputation as a trainer Your Training Persona Training Confidence Training Reputation Trainer Brand Understand the ‘Games People Play’ An introduction to Transactional Analysis (TA) for Trainers Using TA to:Contract for learningUnderstand Trainee AudienceUnderstand interpersonal stylesUnderstand working and thinking stylesWorking in groupsCreativity and innovation Developing deeper Trainer Skills Presentation Magic – making your presentations more effective Facilitation skills for workshops Coaching skills for classrooms and virtual training Delivering experiential workshops Modern Training Methods and Media Incorporating blended learning into your programmes Using Social Learning Using Videos Using Virtual Tools Using CBT and e-learning Pre-course work 1: Complete and online Psychometric Pre-course work 2: Deliver and record a 5-10-minute training session in your workplace on your phone and bring it with you Note: there is an option to have addition 1 hour coaching for delegates to support workplace learning after the course.

MojiTax is hosting an invaluable event for ADIT students aimed at unlocking the secrets to exam success. This engaging session is designed to provide insights into MojiTax's effective learning methodologies that have contributed to its impressive success rates. Attendees will benefit from expert discussions on Knowledge-Based Learning, and Exam Writing Techniques. Additionally, we will share motivational ADIT journies, highlighting the impactful benefits of MojiTax. This event represents a unique opportunity for ADIT candidates to enhance their exam preparation strategies, connect with a supportive community, and learn from those who have excelled. Video time: X hours Exams: X Author: MojiTax Level: Not Applicable Study time: 1 hour 01 Live session Open Event Link (2pm - 3pm London Time)

Writing Clear Business Communication: In-House Training This program is about learning about the writing process and covers the full spectrum of documents used when corresponding in the workplace. The ability to write effectively comes naturally to some people, but for the vast majority, it is a task often approached with a mixture of trepidation and dread. Effective writing seldom, if ever, 'magically materializes' on the spot. In reality, it is most often the product of planning, writing, and rewriting. This is why writing is called a process; it must go through a series of steps before it is clear and complete. This program is about learning about the writing process and covers the full spectrum of documents used when corresponding in the workplace. The ability to write effectively comes naturally to some people, but for the vast majority, it is a task often approached with a mixture of trepidation and dread. However, the ability to communicate in the written word, for whatever purpose, is an important part of our working and personal lives and can have a direct impact on our ability to persuade, gain commitment or agreement and enhance understanding. Good writing sounds like talking on paper, which is why this program is focused on getting the message across and achieving the desired results using the 'keep it simple and direct' approach. What you Will Learn At the end of this program, you will be able to: Write effective e-mails, letters, memos, and reports Clearly articulate the message Achieve desired results from correspondence Organize content for maximum impact Format for enhanced understanding Choose the appropriate communication medium for each document Revise documents to increase clarity and impact Foundations Concepts Business writing as a form of professional communication How business writing compares to other forms of writing Characteristics of good business writing Challenges with business writing The Project Environment Business writing in the project environment The concept of art, science, and optics of business writing Art Economy Precision Action Music Personality Science Purpose, simple, compound, and complex sentence structures Techniques to engage the reader Point of view: tone, attitude, and humor Organization: opening, body, and closing Support and coherence Optics Visual optics Sound optics Feel optics Effective optics Efficient optics Email Formal vs. informal emails Suggestions for improving email communication Instant and text messaging Reports Common types of reports created Formatting of reports Guidelines for meeting minutes Contracts Types of contracts Common agreements Procurement documents Templates, Forms, and Checklists Templates Forms Checklists Other Formatting Good Documentation Practices Good documentation practices Data integrity in business communication

Writing Clear Business Communication (Virtual) Effective writing seldom, if ever, 'magically materializes' on the spot. In reality, it is most often the product of planning, writing, and rewriting. This is why writing is called a process; it must go through a series of steps before it is clear and complete. This program is about learning about the writing process and covers the full spectrum of documents used when corresponding in the workplace. The ability to write effectively comes naturally to some people, but for the vast majority, it is a task often approached with a mixture of trepidation and dread. However, the ability to communicate in the written word, for whatever purpose, is an important part of our working and personal lives and can have a direct impact on our ability to persuade, gain commitment or agreement and enhance understanding. Good writing sounds like talking on paper, which is why this program is focused on getting the message across and achieving the desired results using the 'keep it simple and direct' approach. What You Will Learn You'll learn how to: Plan and prioritize each day's activities in a more efficient, productive manner Establish strategies to execute priorities and overcome procrastination Understand how to make trade-offs when faced with fire drills How to set and communicate boundary conditions Getting Started Introductions Course orientation Participants' expectations Foundation Concepts Exercise: A day in your life Resources to implement change o Mind-set o Tool-set o Skill-set What is your time really worth? The dynamics of procrastination The myth of multi-tasking Brain Rules - how to optimize your efficiency Organization and Prioritization Time management best practices Goal setting Exercise: Identifying your priorities The importance of organization Time management framework Prioritizing time Time Management Techniques Tips for managing time Nine ways to overcome procrastination The STING technique Managing your time o Handling unplanned urgencies o Dealing with information overload Delegation and managing others' time Creating your personal action plan