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144 Notebook courses delivered Online

Python for Data Science Primer: Hands-on Technical Overview (TTPS4872)

By Nexus Human

Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. Additional course details: Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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 Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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.

Python for Data Science Primer: Hands-on Technical Overview (TTPS4872)
Delivered OnlineFlexible Dates
Price on Enquiry

Building Batch Data Analytics Solutions on AWS

By Nexus Human

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Building Batch Data Analytics Solutions on AWS
Delivered OnlineFlexible Dates
Price on Enquiry

The Machine Learning Pipeline on AWS

By Nexus Human

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS 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 The Machine Learning Pipeline on AWS 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.

The Machine Learning Pipeline on AWS
Delivered OnlineFlexible Dates
Price on Enquiry

From Data to Insights with Google Cloud Platform

By Nexus Human

Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts

From Data to Insights with Google Cloud Platform
Delivered OnlineFlexible Dates
Price on Enquiry

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DP-601T00 Implementing a Lakehouse with Microsoft Fabric

By Nexus Human

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist Overview Describe end-to-end analytics in Microsoft Fabric Describe core features and capabilities of lakehouses in Microsoft Fabric Create a lakehouse Ingest data into files and tables in a lakehouse Query lakehouse tables with SQL Configure Spark in a Microsoft Fabric workspace Identify suitable scenarios for Spark notebooks and Spark jobs Use Spark dataframes to analyze and transform data Use Spark SQL to query data in tables and views Visualize data in a Spark notebook Understand Delta Lake and delta tables in Microsoft Fabric Create and manage delta tables using Spark Use Spark to query and transform data in delta tables Use delta tables with Spark structured streaming Describe Dataflow (Gen2) capabilities in Microsoft Fabric Create Dataflow (Gen2) solutions to ingest and transform data Include a Dataflow (Gen2) in a pipeline This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. Introduction to end-to-end analytics using Microsoft Fabric Explore end-to-end analytics with Microsoft Fabric Data teams and Microsoft Fabric Enable and use Microsoft Fabric Knowledge Check Get started with lakehouses in Microsoft Fabric Explore the Microsoft Fabric Lakehouse Work with Microsoft Fabric Lakehouses Exercise - Create and ingest data with a Microsoft Fabric Lakehouse Use Apache Spark in Microsoft Fabric Prepare to use Apache Spark Run Spark code Work with data in a Spark dataframe Work with data using Spark SQL Visualize data in a Spark notebook Exercise - Analyze data with Apache Spark Work with Delta Lake Tables in Microsoft Fabric Understand Delta Lake Create delta tables Work with delta tables in Spark Use delta tables with streaming data Exercise - Use delta tables in Apache Spark Ingest Data with DataFlows Gen2 in Microsoft Fabric Understand Dataflows (Gen2) in Microsoft Fabric Explore Dataflows (Gen2) in Microsoft Fabric Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric

DP-601T00 Implementing a Lakehouse with Microsoft Fabric
Delivered Online
£595

DP-203T00 Data Engineering on Microsoft Azure

By Nexus Human

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure 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 DP-203T00 Data Engineering on Microsoft Azure 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.

DP-203T00 Data Engineering on Microsoft Azure
Delivered Online
£2,380

'Laurel' The Bespoke Handmade Luxury Leather Notebook / Diary Slim A5

5.0(32)

By Hands of Tym

Laurel is the essence of personalised ease and style. The perfect gift for the budding writer or professional in your life - maybe that’s you. Never miss a meeting or big idea with this refillable leather diary / notebook cover (A5) that fits easily into a bag or briefcase. Laurel features a contrasting adjustable strap with stud fastening to keep your work secure, and two internal card slots perfect for business meetings. Choose your preferred English hand bound paper insert: Plain or lined notebook, or week to view diary.  There are 9 leather colours to choose from, 2 leather colour straps and gold or silver hardware. Make it your own with bespoke personalisation. If you’re gifting Laurel, a personalised message can be embossed to the bottom right corner (as standard), but get in touch if you have other requests.(This is +£5) Size and DetailsSlim A5 (Quarto Medium) removable leather notebook or diary cover Paper size: 210mm x 135mm Thickness: 120 pages Cover size: 225mm x 145mm x 20mm 1x insert included Made to order and available in multiple colours with contrasting strap. Timeless designFront strap features the Hands of Tym logo. Made from respectfully-sourced Italian vegetable-tanned leather (biodegradable). Hand cut. Handmade. Hand finished. Other Sizes Available:Slim A4 (Folio Large)Slim A6 (Octavo Pocket)REFILL PAD available Personalisation & Unique stamp (not available for Courses or Tools & Supplies) What is personalisation? Personalisation is an embossed stamp of characters including letters, emojis etc. Please select from the options below if you would like to add to your product. What is a Unique Stamp? A unique stamp is a custom stamp made up of an image of your choice. It can be handprints, a drawing, handwriting etc. We can discuss this with you once you place your order. (This is +£45) How this was made Made from respectfully-sourced Italian vegetable-tanned leather, Laurel is free from harsh chemicals. Over time the luxury leather will develop a buttery soft patina. The paper inserts are hand-bound by experienced artisans in England from a quality British paper. Laurel has been thoughtfully designed and handmade by Hands of Tym, in Oxfordshire, England. Material and CareMaterialsHere at Hands of Tym, we are passionate about sourcing the highest quality sustainable materials. We use responsibly-sourced Italian vegetable-tanned leather. Find out more here.Using only the highest quality cuts, the leather will improve with use and age, developing a soft patina over time. Natural variations are a product feature of this material and contribute to the individual style of the product.The leather is free from harmful chemicals and biodegradable at the end of its life.Hand cut, handmade and hand finished in our workshop in Oxfordshire, England. Care Please note: There may be natural changes in the colour of the materials and they may stain easily. Please be careful with oils and inks. When not in use, store your product in the soft cloth bag (provided) in a cool and dry place. Repair When you buy from Hands of Tym, you’re getting so much more than your new purchase. You’re creating a connection with the maker - Georgie Tym. If your leather product becomes damaged (afterall, life happens), contact us to find out about repairing your item. What's included in the price? Laurel arrives complete with one insert and additional inserts can be purchased directly from us. Laurel arrives wrapped in tissue paper inside a black cotton dust bag, including a 'Made for you' card with care instructions and a unique code to identify your handmade leather notebook cover.

'Laurel' The Bespoke Handmade Luxury Leather Notebook / Diary Slim A5
Delivered Online On Demand
£109

'Laurel' The Bespoke Handmade Luxury Leather Notebook / Diary Slim A6 pocket size

5.0(32)

By Hands of Tym

Laurel is the essence of personalised ease and style. The perfect gift for the budding writer or professional in your life - maybe that’s you. Never miss a meeting or big idea with this refillable leather diary / notebook cover (A6) that fits easily into a pocket or bag. Laurel features a contrasting adjustable strap with stud fastening to keep your work secure, and two internal card slots perfect for business meetings. Choose your preferred English hand bound paper insert: plain or lined notebook, or diary.  Laurel arrives complete with one insert and additional inserts can be purchased directly from us.  Made from respectfully-sourced Italian vegetable-tanned leather, Laurel is free from harsh chemicals. Over time the luxury leather will develop a buttery soft patina. Make it your own with bespoke personalisation. If you’re gifting Laurel, a personalised message can be embossed to the bottom right corner (as standard), but get in touch if you have other requests.Laurel has been thoughtfully designed and handmade by Hands of Tym, in Oxfordshire, England. Size and Details Slim A6 (Octavo Pocket) removable leather notebook or diary cover Paper size: 140mm x 99mm Thickness: 160 pages Cover size: 155mm x 100mm x 25mm 1x insert includedMade to order and available in multiple colours with contrasting strap. Timeless designFront strap features the Hands of Tym logo. Made from respectfully-sourced Italian vegetable-tanned leather (biodegradable). Hand cut. Handmade. Hand finished. Other Sizes Available: Slim A4 click here (Folio Large) Slim A5 click here (Quarto Medium) REFILL PAD available to purchase Personalisation & Unique stamp  What is personalisation? Personalisation is an embossed stamp of characters including letters, emojis etc. Please select from the options below if you would like to add to your product.What is a Unique Stamp? A unique stamp is a custom stamp made up of an image of your choice. It can be handprints, a drawing, handwriting etc. We can discuss this with you once you place your order. (This is +£45) How this was made Made from respectfully-sourced Italian vegetable-tanned leather, Laurel is free from harsh chemicals. Over time the luxury leather will develop a buttery soft patina. The paper inserts are hand-bound by experienced artisans in England from a quality British paper. Laurel has been thoughtfully designed and handmade by Hands of Tym, in Oxfordshire, England. Material and Care Materials Here at Hands of Tym, we are passionate about sourcing the highest quality sustainable materials. We use responsibly-sourced Italian vegetable-tanned leather. Find out more here.Using only the highest quality cuts, the leather will improve with use and age, developing a soft patina over time. Natural variations are a product feature of this material and contribute to the individual style of the product.The leather is free from harmful chemicals and biodegradable at the end of its life.Hand cut, handmade and hand finished in our workshop in Oxfordshire, England. Care Please note: There may be natural changes in the colour of the materials and they may stain easily. Please be careful with oils and inks. When not in use, store your product in the soft cloth bag (provided) in a cool and dry place. RepairWhen you buy from Hands of Tym, you’re getting so much more than your new purchase. You’re creating a connection with the maker - Georgie Tym. If your leather product becomes damaged (afterall, life happens), contact us to find out about repairing your item. What's included in the price? Laurel arrives complete with one insert and additional inserts can be purchased directly from us. Laurel arrives wrapped in tissue paper inside a black cotton dust bag, including a 'Made for you' card with care instructions and a unique code to identify your handmade leather notebook cover.

'Laurel' The Bespoke Handmade Luxury Leather Notebook / Diary Slim A6 pocket size
Delivered Online On Demand
£89

Microsoft OneNote 2016

4.3(43)

By John Academy

Description: Microsoft OneNote 2016 has modernized the look of the tabs to match the rest of the Office 2016 suite of applications and has added some new features that make this the go-to application for note-taking. This Microsoft OneNote 2016 covers different features of the interface, shows users how to print, covers some simple scenarios, and examine the basics of formatting. When you will complete the course you will be comfortable creating a new OneNote notebook, customizing the interface, entering information into OneNote from the variety of sources, and using OneNote's collaboration tools. Joining this course will help you to improve your skills. Learning Outcomes: Getting used to the user interface, creating notebooks, using templates, and customizing the interface Add images, tables, audio, video, Quick Notes and links; modify notebook formatting, and utilize tags, symbols, drawing tools and pen options Save and export content while using alternate file types, managing notebook recycle bins and backups Integrating other Microsoft programs with OneNote such as Excel and Visio through working with spreadsheets, diagrams and other embedded files Sharing and collaborating on notebooks through sending them and Outlook integration Finalizing notebooks through proofing and print settings, configuring notebook settings, properties and security Conducting searches on notebooks Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. 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? Microsoft OneNote 2016 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 Microsoft OneNote 2016 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. Exploring Notebook Structure Navigate the OneNote 2016 Environment 01:00:00 Create a Notebook 01:00:00 Use Predesigned Templates for OneNote Notebooks 00:30:00 Customize the User Interface 02:00:00 Adding Content and Formats to a OneNote Notebook Modify Formatting in a Notebook 01:00:00 Add Images to a Notebook 01:00:00 Add Tables to a Notebook 01:00:00 Add Audio and Video to a Notebook 00:30:00 Add Quick Notes and Links 01:30:00 Use Tags, Symbols, Drawing Tools, and Pen Options 01:00:00 Managing OneNote Notebooks, History, and Backups Save and Export Content and Use Alternate File Types 01:00:00 Manage Notebook Recycle Bins and Backups 01:00:00 Working with Embedded Files Work with Excel Spreadsheets and Visio Diagrams 00:30:00 Work with Embedded Files 00:45:00 Sharing and Collaborating with Notebooks Send a Notebook and Use Outlook Integration 01:00:00 Share and Collaborate on Notebooks 01:00:00 Finalizing a Notebook Finalize a Notebook Using Proofing and Print Settings 01:30:00 Configure Notebook Properties and Security 01:00:00 Search Notebooks 00:30:00 Activities Activities - Microsoft OneNote 2016 00:00:00 Mock Exam Mock Exam- Microsoft OneNote 2016 00:20:00 Final Exam Final Exam- Microsoft OneNote 2016 00:20:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Microsoft OneNote 2016
Delivered Online On Demand19 hours 25 minutes
£18

Office 365 OneNote Online

By iStudy UK

Microsoft OneNote is a free-form note-taking application helps to take digital notes and keep them organized. It also allows you to add images, diagrams, audios, videos, and so on. OneNote can access from both the desktop or mobile devices. The Office 365 OneNote Online course is intended for beginners to demonstrate the basics of OneNote Online in Office 365, including how to create a notebook and add content efficiently. This course teaches you everything from essential notes to drawings, links and embedded files and data. OneNote notebook contains pages and sections, related to a multi-subject notebook. You'll also learn to navigate and create notebooks, edit, share and print notes quite comfortably. What Will I Learn? Work with OneNote Create a New Notebook Add and Format Content Use Search Requirements Basic Computer Skills Introduction Introduction FREE 00:03:00 Working with OneNote Overview of OneNote 00:05:00 Creating a New Notebook 00:05:00 Navigating in OneNote 00:05:00 Adding Sections and Pages to a Notebook 00:05:00 Adding Content 00:08:00 Formatting Content 00:05:00 Using Tags 00:05:00 Using Search 00:04:00 Sharing & Printing a Notebook 00:06:00 Using Immersive Reader 00:05:00 Conclusion Course Recap 00:03:00 Course Certification

Office 365 OneNote Online
Delivered Online On Demand59 minutes
£25

Microsoft OneNote (Desktop App)

By Nexus Human

Duration 1 Days 6 CPD hours This course is intended for This course is intended for people in a variety of roles and fields who have a basic understanding of Microsoft 365 and want to incorporate digital note taking and note collaboration by using Microsoft OneNote. Overview In this course, you will develop note-taking skills by creating, modifying, and managing OneNote notebooks that work with other Microsoft 365 applications. You will: Navigate and customize the OneNote environment and create your first notebook. Add and format various types of notes and note elements, including text, links, and drawing objects. Add images, video, audio, Excel spreadsheets, and other types of files to a notebook. Organize, categorize, and search notebook content. Finalize notebook content by checking spelling, printing copies, and password-protecting notebooks. Manage notebooks by exporting content and working with history and backups. Share notebooks using Outlook and collaborate with colleagues using OneDrive. In our fast-paced digital world, the need to capture ideas, meeting notes, and to-do items is ever present. Microsoft's OneNote app provides a way for you to efficiently create and collect your notes in an electronic notebook. This course will help you use OneNote notebooks to store a wide variety of content in an organized structure, access the content from anywhere, and also share it with others. Additionally, learning how OneNote and other applications in the Microsoft 365 suite are integrated will increase your productivity. Lesson 1: Getting Started with OneNote Topic A: Navigate the OneNote Environment Topic B: Create Notebook Pages from Page Templates Topic C: Customize the OneNote User Interface Lesson 2: Adding and Formatting Notebook Content Topic A: Format Notebook Content Topic B: Add Quick Notes and Linked Notes to a Notebook Topic C: Use Drawing Tools in a Notebook Topic D: Use Dictation in a Notebook Lesson 3: Adding Files to Notebooks Topic A: Insert Images, Video, and Audio into a Notebook Topic B: Embed Excel Spreadsheets in a Notebook Topic C: Attach Other File Types to a Notebook Lesson 4: Organizing Notebook Content Topic A: Use Tags to Categorize Notes Topic B: Organize and Search Notebooks Lesson 5: Finalizing Notebooks Topic A: Proof and Print a Notebook Topic B: Configure Password Protection and Notebook Properties Lesson 6: Managing Notebooks Topic A: Export Content from a Notebook Topic B: Manage Notebook History Lesson 7: Sharing OneNote Content Topic A: Send Notebook Pages to Others Topic B: Work with Integrated Outlook Features Topic C: Collaborate on Notebooks Additional course details: Nexus Humans Microsoft OneNote (Desktop App) 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 Microsoft OneNote (Desktop App) 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.

Microsoft OneNote (Desktop App)
Delivered OnlineFlexible Dates
Price on Enquiry

Microsoft OneNote for the Desktop

By Nexus Human

Duration 1 Days 6 CPD hours This course is intended for This course is intended for people in a variety of roles and fields who have a basic understanding of Microsoft Office and want to incorporate digital note-taking and note collaboration by using Microsoft OneNote. In addition to creating and modifying OneNote notebooks, this course will introduce you to inserting images and embedding files into notebooks, categorizing content, sharing content with OneDrive, and exporting content to other file formats. Overview In this course, you will develop digital note-taking skills by creating, modifying, and managing OneNote notebooks that work with other Microsoft Office programs. You will: Navigate and customize the OneNote interface and environment. Add and format text, images, audio, links, and drawing objects to a notebook. Embed Excel spreadsheets and attach other files to a notebook. Categorize, organize, and search notebook content. Check spelling in, print, and password-protect notebooks. Use Outlook and OneDrive to send and share notebook content. Export notebook content and manage notebook history and backups. In our fast-paced digital world, the need to capture ideas, meeting notes, and to-do items is ever present. Microsoft© Office OneNote© for the Desktop provides a way for you to efficiently create and collect your notes in an electronic notebook. This course will introduce you to using OneNote notebooks to store a wide variety of content in an organized structure, access the content from anywhere, and also share it with others. Additionally, learning how OneNote and the other applications in the suite are integrated increases your productivity with Microsoft Office. This courseware is applicable to all users of the current OneNote desktop software. The classroom environment setup is based on the Office 2016 desktop application. Getting Started with OneNote Topic A: Navigate the OneNote 2016 Environment Topic B: Use Templates Topic C: Customize the OneNote User Interface Adding and Formatting Notebook Content Topic A: Apply Formatting to Notebook Content Topic B: Insert Images and Audio into a Notebook Topic C: Add Quick Notes and Links Topic D: Use Drawing Tools Embedding and Attaching Files Topic A: Embed Excel Spreadsheets Topic B: Attach Other File Types Organizing and Searching Notebooks Topic A: Use Tags Topic B: Organize and Search Notebooks Finalizing a Notebook Topic A: Proof and Print a Notebook Topic B: Configure Password Protection and Notebook Properties Managing Notebook Files Topic A: Export Content from OneNote Notebooks Topic B: Back Up and Restore Notebook Content Sending and Sharing OneNote Content Topic A: Send OneNote Content in Other Formats Topic B: Share OneNote Content by Using OneDrive

Microsoft OneNote for the Desktop
Delivered OnlineFlexible Dates
Price on Enquiry

OneNote Online

By iStudy UK

If you've never work with OneNote before, or you've opened it and struggled, join this OneNote Online course to discover the easy way to create notebook. OneNote Online is a note-taking application that allows you to create basic notes to drawings, links, and embedded files. By enrolling in this course, you'll learn the basics of OneNote Online in Office 365, and learn to create a notebook and add content. Furthermore, learn to navigate and create notebooks by adding text, images, web content, tables, or embedded objects. You'll also learn to share and print OneNote Online notebooks. Join us today. Explore what else is in the course! What Will I Learn? Work with OneNote Create a New Notebook Add and Format Content Use Search Requirements Basic Computer Skills Who is the target audience? Anyone wishing to get an understanding of the online version of OneNote in Office 365. Introduction Introduction FREE 00:02:00 Working with OneNote Overview of OneNote 00:05:00 Creating a New Notebook 00:05:00 Navigating in OneNote 00:05:00 Adding Sections and Pages 00:06:00 Adding Content 00:08:00 Formatting Content 00:06:00 Using Tags 00:05:00 Using Search 00:04:00 Using Print and Sharing Options 00:05:00 Using Immersive Reader 00:05:00 Conclusion Course Recap 00:03:00 Course Certification

OneNote Online
Delivered Online On Demand59 minutes
£25

Microsoft OneNote for Windows 10

By Nexus Human

Duration 1 Days 6 CPD hours This course is intended for This course is intended for people in a variety of roles and fields who have a basic understanding of Microsoft Office and want to incorporate digital note-taking and note collaboration by using OneNote for Windows 10. In addition to creating and modifying OneNote notebooks, this course will introduce you to inserting images and files into notebooks, managing notebooks, and sharing content. Overview In this course, you will develop digital note-taking skills by creating, modifying, and managing OneNote notebooks. You will: Navigate and customize the OneNote for Windows 10 environment. Add and format text, images, tables, and drawing objects in a notebook. Use tags, organize notebooks, and search notebook content. Send and share notebook content. Configure password protection and restore deleted notebook content. In our fast-paced digital world, the need to capture ideas, meeting notes, and to-do items is ever present. Microsoft© OneNote© for Windows© 10 provides a way for you to efficiently create and collect your notes in an electronic notebook. This course will introduce you to using OneNote notebooks to store a wide variety of content in an organized structure, access the content from anywhere, and also share it with others. Getting Started with OneNote Topic A: Navigate the OneNote for Windows 10 Environment Topic B: Customize the OneNote User Interface Adding and Formatting Notebook Content Topic A: Apply Formatting to Notebook Content Topic B: Insert Files Topic C: Insert Tables Topic D: Use Drawing Tools Organizing and Searching Notebooks Topic A: Use Tags Topic B: Organize and Search Notebooks Sending and Sharing OneNote Content Topic A: Share OneNote Content Topic B: Share OneNote Content Using OneDrive Managing Notebook Content Topic A: Configure Password Protection Topic B: Restore Notebook Content

Microsoft OneNote for Windows 10
Delivered OnlineFlexible Dates
Price on Enquiry

Educators matching "Notebook"

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Mel Parks

mel parks

East Grinstead

My Work Research Researching the stories we tell ourselves and other people; both historically and the present day – I delve into stories in academic research, the media, memoir, diaries, fiction, art as well as myths and fairy tales to understand the dominant narrative. Write Writing my own stories. I don’t ask other people to do anything I haven’t done myself, so my research includes autoethnographic or creative work of my own. Writing myself into my work is integral to understanding and shifting the narrative. I also work in creative collaboration with others. Facilitate Helping others tell their stories. My aim is to encourage diversity, complexity and specificity. There are no quick fixes, tidy endings, or moments of complete resolution in life and the stories we write and create will ideally represent this. Stories don’t need to be straightforward narratives, so I offer tips and techniques and make space for blends of different types of writing (eg poetry, lyric essays, journals or reflective writing) or other understandings of stories such as craft or visual representations. Curate Sharing stories. I aim to do all that I can to help little-heard stories shake the hearts and change the minds of policy makers and other people who keep the dominant narrative going. I do this by commissioning, editing and publishing stories of community and co-production on Ideas Hub; organising events; speaking at conferences; creating online archives; and writing and publishing articles about my work.

iStudy UK

istudy uk

We understand more than anyone how important it is for you to get the right qualifications at the right time. We also understand that when you have a lot to do, you might not always have the time free to go to a place of study. That is why we created this site, so you can take all the time you need to learn more about your chosen topics as well as be able to do the whole thing from home. We believe in empowering people by offering them opportunities to expand and extend their knowledge and skill set as well as giving them the support they need to achieve great things. With thousands of courses available and a team who will do just about anything to help you, it is safe to say that you will not find a better course provider on the internet and so we would love to work with you to make sure that you get the best experience and best results out of your education. WHAT WE DO Here at iStudy we provide a range of online training courses for those who want to gain new skills, and qualifications and update their knowledge. iStudy training courses are delivered entirely online through our sophisticated student learning portal. The student learning portal is an online learning management system that allows students to study for their courses online. This innovative technology means there is no need to attend any classes or take time off work to study. Professionally accredited courses All our courses are delivered in partnership with nationally recognised awarding bodies so be assured that what you learn with us matters when it comes to achieving your career goals. Study that suits you You do not have to give up your job or your life to get a new qualification, you can learn anytime, anywhere.