1480 Insights courses in Bradford delivered Live Online

Are you looking for something that will help you understand yourself and how to interact with others more effectively? Would you like something that uses a simple four colour model to quickly allow you to understand your personality type and how you can use this knowledge to enhance your relationships and reach your goals, whatever they are? We think that Insights Discovery might be just the thing for you! What's even better is that our Discovery bundle includes both a copy of your unique profile and a 90 minute personal session with our executive coach, Cami Rose, to chat it all through and set you up for success using your new knowledge for the future. Just request a session and we'll be in touch with the link that will allow you to complete the Insights evaluator and arrange your personal coaching session at a time to suit you. Want Discovery for your team? We can do that too. Leave us your name and details and we'll be in touch to chat through your needs and objectives.

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

Have you heard of Q fever? Join this free informative session about the disease and how it impacts herds and flocks in the UK. We will share our findings and bring forward case information, where herds have been impacted by the disease and are now beginning to take control of the disease through a number of steps, including vaccination and biosecurity measures. Q Fever is a disease caused by infection with the bacterium Coxiella burnetii, which can infect cattle, goats, sheep and many other mammals. Studies on the UK cattle herd indicate that Q fever is highly prevalent. Q fever is zoonotic, with those people in direct contact with ruminants at most risk – This will be a great opportunity for those working with livestock or going onto farms, to get the answers to the many questions that this disease raises. Join us for a free webinar to explore the disease behind the “silent troublemaker” that is Coxiella burnetii. Find out how Q-Fever can affect your flock, cattle or goat herds, and some of the challenges with diagnosis and management. Your speakers We are delighted to be joined by our expert guest speakers to share their insights and experiences. Prof Jonathan Statham, MA VetMB DCHP FRCVS. Jonathan is Chief Executive at RAFT Solutions and Professor of Sustainable Livestock Health & Welfare at Harper and Keele Veterinary School, chairing the InSHAW research group there. He is a practicing independent farm veterinary surgeon, graduating from Cambridge University in 1996 and is a partner and chair of Bishopton Veterinary Group. Jonathan is a Fellow and Specialist of the Royal College of Veterinary Surgeons; in 2015 he was awarded the UK Dairy Vet of the year. He is Past-President of the British Cattle Veterinary Association (BCVA), has held a range of representative or policy linked roles and currently sits on the Veterinary Products Committee (VPC) of the VMD, the steering group of the Ruminant Health & Welfare Group and the EU ‘Q fever’ one health panel. He is chair of the Innovate UK Agriculture Sector Group and chair of the Defra Pathway Chairs Group. He is a Fellow of Askham Bryan College and chairs the Animal Health & Welfare Board for England at Defra. He has published widely in the field of sustainable food, herd health, precision livestock farming and breeding technologies. Current key industry roles; ~ Chair Animal Health & Welfare Board for England (AHWBE) ~ Fellow of Askham Bryan College ~ Veterinary Products Committee (VPC) of the Veterinary Medicines Directorate (VMD), ~ Chair Animal Health & Welfare Pathway Chairs Group ~ Member of the GB Ruminant Health & Welfare Steering Group ~ Chair of innovate UK Agriculture Sector Group ~ Member Industry Cattle Mobility Steering Group ~ Member Johnes Disease technical Group ~ Member of International Embryo Transfer Society, Past key industry roles; ~ Past-President of the British Cattle Veterinary Association (BCVA), ~ GB ‘Cattle Health & Welfare Group (CHAWG), ~ GB ‘Sheep Health & Welfare Group’ (SHAWG), ~ Veterinary Policy Group (VPG) of the British Veterinary Association (BVA), ~ Past Director of the Cattle Health Certification Standards (CHeCS), ~ Past-President of the Yorkshire Veterinary Society (BVA) ~ Served on the Veterinary Residues committees (VRC) of the Veterinary Medicines Directorate (VMD), ~ FarmSkills Steering Group Katherine Timms, BVetMed (Hons), MRCVS. Ruminant Veterinary Advisor, Ceva Animal Health Katherine grew up in Leicestershire and went to the Royal Veterinary College, graduating with honours in 2007 before working in mixed practices in the Midlands with dairy, beef and equine clients. Katherine has a busy home life being married to a beef and sheep farmer with three children and having an active involvement in rural life. Katherine joined Ceva Animal Health in 2014 as part of the technical team, covering the UK in the role of veterinary advisor for the ruminant part of the business. Registrations are open to vets, farmers, SQP’s and those in farm supporting roles. Time permitting, the webinar will finish with a brief Q&A session.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using Tableau to perform numerical or general data analysis, visualization, and reporting. They need to provide data visualizations from multiple data sources, or combine data to show comparisons, manipulate data through calculations, create interactive visualizations, or create visualizations that showcase insights from statistical analysis. This course is also designed for students who plan to obtain Tableau Desktop Certified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam. Overview Blend data multiple sources. Join data. Access data in PDFs. Refine visualizations with sets and parameters. Analyze data with calculations. Visualize data with advanced calculations. Perform statistical analysis and forecasting. Create geographic visualizations. Get answers with Ask and Explain The advent of cloud computing and storage has ushered in the era of "big data." With the abundance of computational power and storage, organizations and employees with many different roles and responsibilities can benefit from analyzing data to find timely insights and gain competitive advantage. Data-backed visualizations allow anyone to explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Beyond the fundamental capabilities of creating data driven visualizations, Tableau allows users to manipulate data with calculations to show insights, make visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data driven insights with peers, executives, and clients. Prerequisites Tableau Desktop: Part 1 Lesson 1: Blending Data from Multiple Sources Topic A: Blend Data Topic B: Refine Blends to Visualize Key Information Lesson 2: Joining Data Topic A: Create Joins Topic B: Troubleshoot Joins Topic C: Merge Data with Unions Lesson 3: Accessing Data in PDFs Topic A: Connect to PDFs Topic B: Clean Up and Organize PDF Data Lesson 4: Refining Visualizations with Sets and Parameters Topic A: Create Sets Topic B: Analyze Data with Sets Topic C: Apply Parameters to Refine Visualizations Topic D: Create Advanced Visualizations Lesson 5: Analyzing Data with Calculations Topic A: Create Calculated Fields to Analyze Data Topic B: Manipulate Data with Functions Topic C: Analyze Data with Table Calculations Lesson 6: Visualizing Data with Advanced Calculations Topic A: Create Groups and Bins with Calculations Topic B: Analyze Data with LOD Expressions Lesson 7: Performing Statistical Analysis and Forecasting Topic A: Perform Statistical Analysis Topic B: Forecast Data Trends Lesson 8: Creating Geographic Visualizations Topic A: Create Maps Topic B: Customize Mapped Data Lesson 9: Getting Answers with Ask and Explain Topic A: Ask Data Topic B: Explain Data Additional course details: Nexus Humans Tableau Desktop - Part 2 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 Tableau Desktop - Part 2 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.

CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.

Overview This course is a rare opportunity to acquire important leadership skills and use those newfound skills to gain the respect of co-workers and those you supervise. It's filled with insights into the special and often-overlooked talents women leaders can bring to the table and cutting-edge tactics successful women leaders are using right now to make things happen in their organizations.

Join us as we delve into the essential do's and don'ts of LinkedIn, uncovering the key tactics to optimize your profile, expand your network, and engage effectively with potential customers and collaborators.

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data, and visualize data and insights using advanced visualizations in charts and dashboards in Excel. To ensure success, you should have baseline skill using Microsoft Excel worksheets, particularly in creating workbooks with formulas and function Overview #NAME? Analyzing data to find issues, insights and opportunities, is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways. Microsoft© Excel© is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis and create diverse and robust data-backed visualizations to show insights, trends, and create reports. These capabilities enable people who use Excel for data analysis to turn data into thoughtful action. 1 - DATA ANALYSIS FUNDAMENTALS Introduction to Data Science Create and Modify Tables Sort and Filter Data 2 - VISUALIZING DATA WITH EXCEL Visualize Data with Charts Modify and Format Charts Apply Best Practices in Chart Design 3 - ANALYZING DATA WITH FORMULAS AND FUNCTIONS Analyze Data with Formulas and Named Ranges Analyze Data with Functions Implement Data Validation, Forms, and Controls Create Conditional Visualizations with Lookup Functions 4 - ANALYZING DATA WITH PIVOTTABLES Create a PivotTable Analyze PivotTable Data 5 - PRESENTING VISUAL INSIGHTS WITH DASHBOARDS IN EXCEL Visualize Data with PivotCharts Filter Data Using Slicers and Timelines Create a Dashboard in Excel 6 - CREATING GEOSPATIAL VISUALIZATIONS WITH EXCEL Create Map Charts in Excel Customize Map Charts in Excel 7 - PERFORMING STATISTICAL ANALYSIS Visualize Trendlines and Sparklines with Excel Analyze Data with the Data Analysis ToolPa 8 - GETTING AND TRANSFORMING DATA Connect to Data with Queries Clean and Combine Data Shape and Transform Data 9 - MODELING AND ANALYZING DATA WITH POWER PIVOT Install Power Pivot in Excel Create Data Models with Power Pivot Create Power Pivots Perform Advanced Data Analysis and Visualization 10 - PRESENTING INSIGHTS WITH REPORTS (OPTIONAL) Plan a Report Create a Report