1719 Analytics courses in Whetstone delivered Online

Get ready for an exceptional online learning experience with Data Analysis, Business Intelligence, Business Analysis with Python & Tableaubundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. This Data Analysis, Business Intelligence, Business Analysis with Python & Tableau is a dynamic package that blends the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Data Analysis package has something for everyone. As part of the Data Analysis, Business Intelligence, Business Analysis with Python & Tableau package, you will receive complimentary PDF certificates for all courses in Data Analysis bundle at no extra cost. Equip yourself with the Data Analysis bundle to confidently navigate your career path or personal development journey. Enrol our Data Analysis bundle today and start your career growth! This Data Analysis Bundle Comprises the Following CPD Accredited Courses: Course 1: Data Analytics Course 2: Diploma in Data Analytics with Tableau Course 3: Google Data Studio: Data Analytics Course 4: Business Intelligence Analyst Course 5: Diploma in Business Analysis Course 6: Data Science & Machine Learning with Python Course 7: Spatial Data Visualization and Machine Learning in Python Course 8: Python Programming: Beginner To Expert Course 9: SQL For Data Analytics & Database Development Course 10: Easy to Advanced Data Structures Course 11: R Programming for Data Science Course 12: Data Center Training Essentials: General Introduction Course 13: Data Analysis In Excel Course 14: Data Protection Course 15: Microsoft Excel Complete Course Course 16: Career Development Plan Fundamentals Course 17: CV Writing and Job Searching Course 18: Learn to Level Up Your Leadership Course 19: Networking Skills for Personal Success Course 20: Ace Your Presentations: Public Speaking Masterclass Learning Outcome: By completing the Data Analysis, Business Intelligence, Business Analysis with Python & Tableau course, you will: Gain comprehensive insights into multiple fields. Foster critical thinking and problem-solving skills across various disciplines. Understand industry trends and best practices through the Data Analysis Bundle. Develop practical skills applicable to real-world situations. Enhance personal and professional growth with the Data Analysis Bundle. Build a strong knowledge base in your chosen course via the Data Analysis Bundle. Benefit from the flexibility and convenience of online learning. With the Data Analysis package, validate your learning with a CPD certificate. Each course in Data Analysis, Business Intelligence, Business Analysis with Python & Tableau bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with the Data Analysis, Business Intelligence, Business Analysis with Python & Tableau, a rich anthology of 15 diverse courses. Each course in the Data Analysis bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisData Analysis, Business Intelligence, Business Analysis with Python & Tableau bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Data Analysis, Business Intelligence, Business Analysis with Python & Tableau bundle offers you the flexibility and convenience to learn at your own pace. Make the Data Analysis package your trusted companion in your lifelong learning journey. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Data Analysis, Business Intelligence, Business Analysis with Python & Tableau bundle is perfect for: Data Enthusiasts: Keen to master data analysis tools like Python, Tableau, and Excel. Aspiring Business Analysts: Eager to derive actionable insights using data analysis techniques. IT Professionals: Broadening skills with data analysis, machine learning, and business intelligence. Career Changers: Seeking a solid foundation in data analysis for a professional pivot. Leadership Aspirants: Complementing data analysis expertise with leadership and presentation skills. Requirements Without any formal requirements, you can delightfully enrol in this Data Analysis, Business Intelligence, Business Analysis with Python & Tableau course. Career path Our bundle will prepare you for a range of careers, including: Data Analyst Business Intelligence Analyst Data Scientist Python Developer SQL Database Developer Business Analyst Data Protection Officer Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

Data Analysis: Data Analysis Training Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analysis: Data Analysis Course. This Data Analysis Course describes the fundamentals of data, statistics, and an introduction to Data Analysis. How to get data and where to find it is explained in the Data Analysis Course. Moreover, this Data Analysis Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analysis Course provides an introduction to Python and Excel for Data Analysis. This thorough Data Analysis Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python). Enrol in our Data Analysis Course to study the fundamentals of statistical analysis and machine learning. Main Course: Data Analysis (Data Analytics) Training Free Courses included with Data Analysis: Data Analysis Training Course: Course 01: Minute Taking Course 02: GDPR Course 03: Cyber Security [ Note: Free PDF certificate as soon as completing the Data Analysis: Data Analysis Training Course] Data Analysis: Data Analysis Training Online This Data Analysis (Data Analytics) Training consists of 12 modules. Curriculum of Data Analysis (Data Analytics) Training Course Module 1: Introduction to Data Analytics Module 2: Basics of Data and Statistics Module 3: Data Collection and Sources Module 4: Data Cleaning and Preprocessing Module 5: Exploratory Data Analysis (EDA) Module 6: Introduction to Excel for Data Analytics Module 7: Introduction to Python for Data Analytics Module 8: Data Wrangling with Pandas (Python) Module 9: Data visualisation with Matplotlib and Seaborn (Python) Module 10: Introduction to Basic Statistical Analysis Module 11: Introduction to Machine Learning Module 12: Capstone Project - Exploratory Data Analysis Assessment Method of Data Analysis (Data Analytics) Training Course After completing Data Analysis: Data Analysis Training Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Data Analysis (Data Analytics) Training Course After completing the Data Analysis: Data Analysis Training Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Data Analysis: Data Analysis Training Online For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analysis Course is ideal. Requirements Data Analysis: Data Analysis Training Online To enrol in this Data Analysis: Data Analysis Training Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Data Analysis Training Course. Be energetic and self-motivated to complete our Data Analysis Training Course. Basic computer Skill is required to complete our Data Analysis Training Course. If you want to enrol in our Data Analysis Training Course, you must be at least 15 years old. Career path Data Analysis: Data Analysis Training Online This Data Analysis Course will assist you in obtaining positions as a business analyst, marketing analyst, data analysis, and in related fields.

Embark on a comprehensive journey into the world of MySQL with a focus on its applications in Data Science and Analytics. This course is structured to take you from the fundamentals to advanced topics in MySQL Server. Covering SQL basics, data manipulation and definition, control and analytic functions, and database management, you'll acquire the essential skills for harnessing MySQL's power in data-driven decision-making. Learning Outcomes: Establish a strong foundation in SQL and MySQL. Set up and configure SQL Server for efficient data handling. Master SQL's Data Manipulation, Definition, and Control Language. Create and optimize SQL queries for data analysis. Perform advanced data analytics using SQL. Understand the power of GROUP BY and JOIN statements. Implement data constraints and views for data integrity and security. Develop proficiency in stored procedures, data import/export, and database backup/restore. Why buy this Learn MySQL from Scratch for Data Science and Analytics?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Learn MySQL from Scratch for Data Science and Analytics you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is ideal for Aspiring Data Scientists and Analysts. Database Administrators and Developers. Students and professionals seeking to enter the field of Data Science. Anyone looking to enhance their SQL and MySQL skills for data-related roles. Prerequisites This Learn MySQL from Scratch for Data Science and Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 per year. Database Administrator: £30,000 - £60,000 per year. SQL Developer: £30,000 - £60,000 per year. Data Scientist: £40,000 - £80,000 per year. Business Intelligence Analyst: £35,000 - £65,000 per year. Course Curriculum Learn MySQL from Scratch for Data Science and Analytics Section 01: Getting Started Introduction 00:02:00 How to get course requirements 00:01:00 Getting started on Windows, Linux or Mac 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 What is Source Code? 00:09:00 Section 02: SQL Server setting up Section Introduction 00:01:00 MySQL Server Installation 00:14:00 Connect MySQL Server Instance 00:06:00 MySQL Workbench overview 00:11:00 Download and Restore Sample Database 00:08:00 Section 03: SQL Database basics Section Introduction 00:01:00 Overview of Databases 00:09:00 Creating Database 00:07:00 SQL Data Types 00:04:00 Column Data Types on Workbench 00:07:00 Creating Table 00:04:00 Overview of Primary and Foreign Key 00:03:00 Primary Key 00:06:00 Foreign Key 00:12:00 Creating Temporary tables 00:12:00 EER - Enhanced Entity Relationship Diagrams 00:04:00 Section 04: SQL DML (Data Manipulation Language) Section Introduction 00:01:00 Insert statement 00:07:00 Update statement 00:06:00 Delete statement 00:03:00 Section 05: SQL DDL (Data Definition Language) Section Introduction 00:01:00 CREATE table statement 00:08:00 DROP statement 00:03:00 ALTER statement 00:05:00 TRUNCATE statement 00:03:00 COMMENT in query 00:02:00 RENAME table 00:03:00 Section 06: SQL DCL (Data Control Language) Create Database user 00:03:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 07: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:03:00 SELECT DISTINCT 00:02:00 SELECT with column headings 00:01:00 Column AS statement 00:02:00 DASHBOARD Analytics 00:06:00 Section 08: Filtering Data rows SELECT WHERE Clause - theory 00:03:00 SELECT WHERE Clause - practical 00:06:00 Section 09: Aggregate functions for Data Analysis Sum() 00:06:00 Min()-Max() 00:03:00 Section 10: SQL Data Analyticstatements Order By statement 00:05:00 SELECT TOP 3 records 00:02:00 BETWEEN command 00:06:00 IN operator 00:03:00 Search Data usingLIKE cards 00:05:00 Section 11: SQL Group by statement Section Introduction 00:01:00 Group by - theory 00:04:00 Data Analytics with Group By 00:04:00 HAVING statement 00:03:00 Section 12: JOINS Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:07:00 Left outer join 00:02:00 Right outer join 00:02:00 Union 00:03:00 CERTESIAN Product or Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 13: SQL Constraints Section introduction 00:01:00 Check constraint 00:09:00 NOT NULL constraint 00:03:00 UNIQUE constraint 00:06:00 Section 14: Views Creating Views 00:03:00 Data Analytic Views from multiple tables 00:03:00 Section 15: Advanced SQL Functions Section Introduction 00:01:00 Timestamp 00:03:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:03:00 String functions3 00:07:00 Advanced functions 00:04:00 Sub Queries 00:03:00 SELECT with calculations 00:05:00 Section 16: SQL Stored procedures Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00 Section 17: Import & Export data Section Introduction 00:01:00 Import .csv file 00:04:00 Export Data to .csv file 00:02:00 Section 18: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:02:00 Restoring Database backup 00:02:00

This course is designed for beginners who want to learn how to use Tableau Prep Builder for data preparation and data cleaning. We will start from scratch; no specific knowledge is required; you should only be familiar with Tableau.

Big data certification for non-programmers, business analysts, testers, and SQL developers

This course will show delegates how to appraise projects in Excel, incorporate and communicate updates as they happen and ultimately understand how to convert an opportunistic property investment into a core asset that can be sold on.

Unlock the power of data with our "Creating Compelling Data Visualisations" course. From mastering the fundamentals of data analytics and statistics to leveraging cutting-edge tools and techniques, each module is designed to transform raw information into impactful visual stories. Gain the skills to captivate your audience and drive data-driven decisions with clarity and precision. Enrol now and become a master of data visualisation! Learning Outcomes: Acquire a comprehensive understanding of data analytics and its role in decision-making. Develop proficiency in using statistical techniques to analyse and interpret data accurately. Master the process of gathering and organising data efficiently for optimal analysis. Utilise Excel as a powerful tool for data manipulation and analysis. Explore various tools and technologies employed in data analytics. Cultivate a data-analytic mindset to identify actionable insights from complex data sets. Create visually compelling data visualisations that effectively communicate insights and facilitate data-driven decision-making. In today's data-driven world, the ability to transform raw information into meaningful insights is a crucial skill for professionals across industries. Introducing our comprehensive course on "Creating Compelling Data Visualisations," designed to equip you with the knowledge and techniques to excel in the realm of data analytics. Through a series of immersive modules, you'll delve into the fascinating world of data, exploring its intricacies, gathering the right information, and storing it efficiently. Dive deep into statistical analysis, mastering the art of drawing insights from complex datasets with precision and accuracy. Discover the power of Excel as a robust tool for data manipulation and analysis. Unleash your creativity as you learn to transform raw data into captivating visual stories. Explore a range of data visualisation tools and techniques, uncovering the best practices to effectively communicate insights to diverse audiences. Develop a data-analytic mindset, sharpening your ability to identify actionable insights and make data-driven decisions that propel your organisation forward. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is particularly useful for: Professionals seeking to enhance their data analysis skills. Aspiring data analysts and researchers. Managers and decision-makers who need to interpret and communicate data effectively. Students and graduates looking to boost their employability in the data-driven job market. Career path Data Analyst: £25,000 - £50,000 per year Business Intelligence Analyst: £30,000 - £60,000 per year Data Visualization Specialist: £35,000 - £70,000 per year Data Scientist: £40,000 - £80,000 per year Market Research Analyst: £25,000 - £45,000 per year Financial Analyst: £30,000 - £60,000 per year Note: Salary ranges can vary based on factors such as experience, qualification, and industry.

Have you ever wondered how businesses transform raw data into actionable insights or how financial analysts accurately pinpoint market trends? Microsoft Excel stands tall as the fulcrum that balances numerous sectors of the business world. This 8-course Microsoft Excel Mastery: AutoCAD, SQL, Data Analysis, Financial Modelling & Marketing bundle dives deep into the myriad applications of Microsoft Excel, from interfacing with AutoCAD to crafting marketing strategies and comprehensive financial models. In an era defined by data-driven decisions, this 8-course Microsoft Excel Mastery: AutoCAD, SQL, Data Analysis, Financial Modelling & Marketing bundle is tailored to equip learners with the multifaceted applications of Microsoft Excel. Ranging from foundational Excel operations to advanced integrations with tools like AutoCAD and MySQL, the course bundle aims to foster expertise in data management, analysis, and visualisation. Whether you're venturing into financial modelling, HR analytics, or design integration, this bundle serves as a comprehensive guide to mastering Excel in diverse professional realms, ensuring you are well-prepared to leverage its capabilities in the modern workplace. Ready to excel in your career? Embrace the transformative power of data and design by mastering Microsoft Excel with our comprehensive course bundle. Dive in now and shape your future with unparalleled proficiency! The Eight CPD Accredited courses that the bundle includes are: Course 1: Microsoft Excel Course for Everyone - Complete Excel Course Course 2: Excel VBA/Macros Foundations Course 3: Dynamic Excel Gantt Chart and Timelines Course 4: Hands on Programming on AutoCAD to Excel Using VB.NET Course 5: Learn MySQL from Scratch for Data Science and Analytics Course 6: Data Analytics Course 7: Build HR Dashboard using Excel Course 8: Financial Modelling Using Excel Learning Outcomes: Gain comprehensive knowledge and understanding of Microsoft Excel and its vast capabilities. Understand the seamless integration between Excel and tools like AutoCAD and MySQL. Develop proficiency in creating intricate financial models and marketing strategies. Acquire skills to analyse data, forecast trends, and build informative dashboards. Learn the principles of personal finance management using Excel. Master the art of crafting Gantt charts and timelines for effective project management. Microsoft Excel Course for Everyone - Complete Excel Course: Acquaint yourself with the foundational and advanced facets of Microsoft Excel, fostering data management expertise. Excel VBA/Macros Foundations: Dive into the transformative world of VBA, unlocking Excel's programming potentials. Dynamic Excel Gantt Chart and Timelines: Grasp the essentials of project management by designing insightful Gantt charts and timelines in Excel. Hands on Programming on AutoCAD to Excel Using VB.NET: Bridge the realms of design and data by merging AutoCAD functionalities with Microsoft Excel's prowess. Learn MySQL from Scratch for Data Science and Analytics: Understand the confluence of Excel and MySQL, anchoring data science and analytics. Data Analytics: Master the techniques of transforming raw numbers into actionable insights using Microsoft Excel. Build HR Dashboard using Excel: Curate informative HR dashboards, offering a snapshot of organisational metrics, all within Excel. Financial Modelling Using Excel: Unravel the intricacies of financial markets, crafting accurate models in Microsoft Excel. CPD 90 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals keen on enhancing their Microsoft Excel skills for professional or personal reasons. Marketing professionals aiming to refine their strategic planning with Excel. Financial analysts and enthusiasts looking to build and understand models in Excel. Data scientists and analysts desire to integrate Excel with tools like MySQL. Design engineers and architects keen on integrating AutoCAD designs with Excel data. Career path Data Analyst Financial Modeller Marketing Strategist HR Dashboard Specialist Database Administrator (with Excel integration knowledge) Project Manager (familiar with Gantt and timelines in Excel) Design Engineer using Excel with AutoCAD Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript: £9.99

Duration 3 Days 18 CPD hours This course is intended for This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools. Overview After completing this course, students will be able to: - Identify independent and dependent variables and measurement levels in their own analytical work scenarios. - Identify variables of interest in relational database tables. - Choose a data aggregation level and data set design appropriate for the intended analysis and tool. - Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others. - Create stored procedures, views, and functions to modularize data retrieval code. This course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. 1 - INTRODUCTION TO TSQL FOR BUSINESS INTELLIGENCE Two Approaches to SQL Programming TSQL Data Retrieval in an Analytics / Business Intelligence Environment The Database Engine SQL Server Management Studio and the CarDeal Sample Database Identifying Variables in Tables SQL is a Declarative Language Introduction to the SELECT Query Lab 1: Introduction to TSQL for Business Intelligence 2 - TURNING TABLE COLUMNS INTO VARIABLES FOR ANALYSIS: SELECT LIST EXPRESSIONS, WHERE, AND ORDER BY Turning Columns into Variables for Analysis Column Expressions, Data Types, and Built-in Functions Column aliases Data type conversions Built-in Scalar Functions Table Aliases The WHERE clause ORDER BY Lab 1: Write queries 3 - COMBINING COLUMNS FROM MULTIPLE TABLES INTO A SINGLE DATASET: THE JOIN OPERATORS Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSS JOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNER JOIN Understanding Joins, Part 3: The OUTER JOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTER JOINs Combining JOIN Operations with WHERE and ORDER BY Lab 1: Write SELECT queries 4 - CREATING AN APPROPRIATE AGGREGATION LEVEL USING GROUP BY Identifying required aggregation level and granularity Aggregate Functions GROUP BY HAVING Order of operations in SELECT queries Lab 1: Write queries 5 - SUBQUERIES, DERIVED TABLES AND COMMON TABLE EXPRESSIONS Non-correlated and correlated subqueries Derived tables Common table expressions Lab 1: Write queries 6 - ENCAPSULATING DATA RETRIEVAL LOGIC Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Lab 1: Encapsulating Data Retrieval Logic 7 - GETTING YOUR DATASET TO THE CLIENT Connecting to SQL Server and Submitting Queries from Client Tools Connecting and running SELECT queries from: Excel PowerBI RStudio Exporting datasets to files using Results pane from SSMS The bcp utility The Import/Export Wizard Lab 1: Getting Your Dataset to the Client Additional course details: Nexus Humans 55232 Writing Analytical Queries for Business Intelligence 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 55232 Writing Analytical Queries for Business Intelligence course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for This course is aimed at anyone currently working with data who is interested in using data visualisation to more effectively communicate their results. Overview At completion, delegates will understand how data visualisations can be best used to communicate actionable insights from data and be competent with the tools required to do it. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. Course Outline The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to horse breeding. The companies doing this most successfully understand that using sophisticated analytics approaches to unlock insights from data is only half the job. Communicating these insights to all of the different parts of an organisation is just as important as doing the actual analysis. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. To attend this course delegates should be competent in the use of data analysis tools such as reporting tools, spreadsheet software or business intelligence tools. The course will explore the following topics through a series of interactive workshop sessions: Fundamentals of data visualisation Data characteristics & dimensions Mapping visual encodings to data dimensions Colour theory Graphical perception & communication Interaction design Visualisation different characteristics of data: trends, comparisons, correlations, maps, networks, hierarchies, text Designing effective dashboards