194 Data Skills courses in Coventry delivered Online

This Data Analyst : Data Analytics Diploma bundle will help you to become a job-ready Data Analyst. The Data Analyst : Data Analytics Diploma course provides complete preparation for someone who aspires to become a data analyst at a minimal cost compared to the typical programs (not to mention how much time you will save). We believe this course will significantly boost your chances of landing your dream job, as it will prepare you for practical tasks and concepts frequently included in interviews. Approximately 3.5 million jobs are there for professionals with data skills. So if you want to broaden your career opportunities, enrol in our Data Analyst : Data Analytics Diploma course, where our industry experts have included every detail of data learning material to give you a clear picture. Don't miss out! We created this Data Analyst : Data Analytics Diploma to prepare you to advance your data analyst career. It is a unique training program because it teaches the fundamentals you need on the job-an often neglected aspect of critical importance. Our tutors will prepare you for a career as a Data Analyst by teaching you the fundamentals of mathematics, statistics, economics, theory analysis, data visualisation, data interpretation, risk management, and many other subjects. Everything is shown in the correct order, and you are not going to get lost along the way. This Data Analyst : Data Analytics Bundle Consists of the following Premium courses: Course 01: Data Analysis Course 02: Data Analytics with Tableau Course 03: Complete Google Analytics Course Course 04: Data Analysis in Excel Level 3 Course Course 05: Business Intelligence and Data Mining Masterclass Course 06: Business Analysis Level 3 Course 07: Information Management Course 08: Clinical Data Analysis with SAS Course 09: Strategic Business Management Course 10: Data Protection and Data Security Level 2 Course 11: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes! Course 12: GDPR Data Protection Level 5 Course 13: Decision-Making and Critical Thinking Course 14: Time Management Enrol now in Data Analyst : Data Analytics to advance your career, and use the premium study materials from Apex Learning. The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. Course Curriculum : Course 01: Introduction to Data Analysis Introduction The Voice of the Process Working as One Team for Improvement Exercise: The Voice of the Customer Tools for Data Analysis The Pareto Chart The Histogram The Run Chart Exercise: Presenting Performance Data Understanding Variation The Control Chart Control Chart Example Control Chart Special Cases Interpreting the Control Chart Control Chart Exercise Strategies to Deal with Variation Using Data to Drive Improvement A Structure for Performance Measurement Data Analysis Exercise Course Project Test your Understanding ---------- 13 additional must needed courses------------ Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? If you want to be a Data Analyst or Data Scientist, you should take this course. If you want to have a successful career, this course is for you. The course is also great for beginners because it starts with the basics and gradually builds up your skills. Students who aspire to be among the top 20% of Data Analysts. Students who want to gain hands-on experience with large, interesting datasets. Requirements This Data Analyst : Data Analytics course has been designed to be fully compatible with tablets and smartphones. Career path This Data Analyst : Data Analytics Bundle is ideal for anyone who wants to take their career development to the next level and fast-track their career in any of the following roles: Data analytics manager Financial analyst Marketing analyst Systems analyst Data scientist Data analytics consultant In the UK, these professionals' income ranges from £45,000 to £120,000 per year. Certificates Certificate of completion Digital certificate - Included

Master advanced Excel skills and boost your career with our Microsoft Excel Advanced Diploma Course. Gain proficiency in data analysis, understand advanced features, and develop practical expertise.

Advance your data skills by mastering Spark programming in Python. This beginner's level course will help you understand the core concepts related to Apache Spark 3 and provide you with knowledge of applying those concepts to build data engineering solutions.

Facilities management is more than maintenance—it's strategic, operational, and essential. The Facilities Management: 20-in-1 Premium Online Courses Bundle equips professionals with the cross-functional skills needed in logistics, procurement, operations, and workplace leadership. If you're aiming for roles in property management, estate operations, or support services, this bundle delivers unmatched career leverage. Description In today’s competitive hiring landscape, employers seek more than on-the-ground experience—they want evidence of leadership, data skills, and operational awareness. This comprehensive bundle ticks every box. From supply chain know-how to HR, data handling, and compliance, it brings together everything a future-ready facilities manager should offer. Perfect for those targeting roles in retail property management, warehouse operations, public sector estate services, or large-scale commercial maintenance, this bundle positions you as the complete candidate. For a single, exceptional price, you’ll walk away with 20 individual certifications—each one strengthening your job profile. Secure your place ahead of the queue before demand spikes. FAQ Q: What types of roles does this bundle support? A: Facilities manager, procurement officer, logistics coordinator, operations supervisor, and estate services assistant. Q: Which industries is this suitable for? A: Real estate, construction, manufacturing, retail, logistics, education, and healthcare facilities. Q: Is this bundle beginner-friendly? A: Yes, it's designed for both newcomers and professionals aiming to validate or expand their skill set. Q: Will I receive separate certificates for each course? A: Absolutely. Each completed course comes with a verifiable certification to boost your CV. Q: How long can I access the bundle? A: You’ll receive full access with no expiry. Learn anytime, at your convenience.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for novice database developers, database administrators, Business Intelligence developers, report creators, and application developers who have an understanding of relational database concepts and have basic Windows navigation skills. Overview Create single table SELECT queries Create multiple table SELECT queries Filter and sort data Insert, update, and delete data Query data using built-in functions Create queries that aggregate data Create subqueries Create queries that use table expressions Use UNION, INTERSECT, and EXCEPT on multiple sets of data Implement window functions in queries Use PIVOT and GROUPING SETS in queries Use stored procedures in queries Add error handling to queries Use transactions in queries This five-day instructor-led course is intended for IT professionals who wish to use the Transact-SQL language to query and configure Microsoft SQL Server. Students are typically database developers and database administrators, but might also be Business Intelligence developers, report creators, or application developers. In this course, students learn how to query single tables, join data from multiple tables, filter and sort data, modify data, use procedures and functions, and implement error handling. Prerequisites Basic understanding of relational databases. Basic Windows knowledge. Module 1: Introduction to Transact-SQL What is Transact-SQL The SELECT statement The WHERE clause Sorting results Calculations CASE expressions Module 2: Joining tables with Transact-SQL The JOIN clause Inner joins Outer joins Self joins and cross joins Module 3: Filtering and sorting results Implement the ORDER BY clause Filter data with the WHERE clause Limit the number of rows returned by a query Implement NULL logic Module 4: SQL Server data types Understand data types Implement string data types Implement temporal data types Module 5: Inserting, updating and deleting data Insert new records Update existing records Delete data Module 6: Using SQL Server functions with Transact-SQL Understand function types in SQL Server Convert data using functions Implement logical functions Work with NULL data using functions Module 7: Aggregating data with Transact-SQL Implement aggregation in SQL Server Group records in SQL Server Filter aggregated data Module 8: Implement subqueries with Transact-SQL Implement scalar and multi-valued sub-queries Implement correlated subqueries Implement existence checks with subqueries Module 9: Create queries that use table expressions Create views Create table-valued functions Implement derived tables Implement common table expressions Module 10: Use UNION, INTERSECT, EXCEPT and APPLY on multiple sets of data Write queries with the UNION operator Write queries with the INTERSECT and EXCEPT operators Write queries with the APPLY operator Module 11: Implement window functions in queries Understand window functions Impement window functions Module 12: Use PIVOT and grouping sets in queries Implement PIVOT in queries Implement grouping sets in queries Module 13: Use stored procedures in queries Query data with stored procedures Interact with stored procedures using input and output parameters Write simple stored procedures Pass dynamic SQL to SQL Server Module 14: Implement programming features in Transact-SQL Understand T-SQL programming elements Implement loops and conditions in T-SQL queries Module 15: Add error handling to queries Understand SQL Server error handling Implemet structured exception handling Module 16: Use transactions in queries Understand database transactions Implement transactions in T-SQL

Analytical thinking meets IT precision. This IT Support Analyst 20-in-1 bundle is tailored for aspiring professionals who want to position themselves as go-to problem-solvers across digital teams. Whether you're stepping into your first analyst role or pivoting from general admin to IT support, this bundle was built to raise your career ceiling. You won’t just fit in—you’ll stand out. 📘 Description Support analysts sit at the critical junction of data, systems, and decision-making. This course collection has been engineered to deliver a well-rounded toolkit that resonates with the needs of hiring managers across IT, finance, HR, and beyond. The diversity of skills means you’ll be able to apply for a wide range of roles without being pigeonholed. And because this bundle covers technical know-how and communication finesse, you’ll be ready for both the hands-on tasks and the people-facing moments. What you gain isn’t just knowledge—it’s career agility. With 20 essential topics under your belt, you're building a résumé that recruiters can’t ignore. The smart move? Start before the next vacancy goes live. ❓ FAQ Q: Is this suitable for people moving into data-heavy roles? A: Absolutely. It's particularly useful for support analysts who need to blend data skills with core IT understanding. Q: Which industries will value this bundle? A: Tech, finance, healthcare, logistics, public services—anywhere digital infrastructure needs reliable support analysis. Q: Will this help me progress to mid-level roles faster? A: It gives you a competitive edge. You’ll show broader skills than most early-career applicants. Q: Is this bundle flexible for remote work roles? A: Yes, the competencies covered are ideal for both in-house and remote support roles. Q: How soon can I start applying for jobs after completing it? A: Many learners begin applying after finishing just a few key courses—don’t wait to be perfect to get started.

Duration 5 Days 30 CPD hours Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - Identifying Basic Concepts of Data Schemas Identify Relational and Non-Relational Databases Understand the Way We Use Tables, Primary Keys, and Normalization 2 - Understanding Different Data Systems Describe Types of Data Processing and Storage Systems Explain How Data Changes 3 - Understanding Types and Characteristics of Data Understand Types of Data Break Down the Field Data Types 4 - Comparing and Contrasting Different Data Structures, Formats, and Markup Languages Differentiate between Structured Data and Unstructured Data Recognize Different File Formats Understand the Different Code Languages Used for Data 5 - Explaining Data Integration and Collection Methods Understand the Processes of Extracting, Transforming, and Loading Data Explain API/Web Scraping and Other Collection Methods Collect and Use Public and Publicly-Available Data Use and Collect Survey Data 6 - Identifying Common Reasons for Cleansing and Profiling Data Learn to Profile Data Address Redundant, Duplicated, and Unnecessary Data Work with Missing Value Address Invalid Data Convert Data to Meet Specifications 7 - Executing Different Data Manipulation Techniques Manipulate Field Data and Create Variables Transpose and Append Data Query Data 8 - Explaining Common Techniques for Data Manipulation and Optimization Use Functions to Manipulate Data Use Common Techniques for Query Optimization 9 - Applying Descriptive Statistical Methods Use Measures of Central Tendency Use Measures of Dispersion Use Frequency and Percentages 10 - Describing Key Analysis Techniques Get Started with Analysis Recognize Types of Analysis 11 - Understanding the Use of Different Statistical Methods Understand the Importance of Statistical Tests Break Down the Hypothesis Test Understand Tests and Methods to Determine Relationships Between Variables 12 - Using the Appropriate Type of Visualization Use Basic Visuals Build Advanced Visuals Build Maps with Geographical Data Use Visuals to Tell a Story 13 - Expressing Business Requirements in a Report Format Consider Audience Needs When Developing a Report Describe Data Source Considerations For Reporting Describe Considerations for Delivering Reports and Dashboards Develop Reports or Dashboards Understand Ways to Sort and Filter Data 14 - Designing Components for Reports and Dashboards Design Elements for Reports and Dashboards Utilize Standard Elements Creating a Narrative and Other Written Elements Understand Deployment Considerations 15 - Understand Deployment Considerations Understand How Updates and Timing Affect Reporting Differentiate Between Types of Reports 16 - Summarizing the Importance of Data Governance Define Data Governance Understand Access Requirements and Policies Understand Security Requirements Understand Entity Relationship Requirements 17 - Applying Quality Control to Data Describe Characteristics, Rules, and Metrics of Data Quality Identify Reasons to Quality Check Data and Methods of Data Validation 18 - Explaining Master Data Management Concepts Explain the Basics of Master Data Management Describe Master Data Management Processes Additional course details: Nexus Humans CompTIA Data Plus (DA0-001) 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 CompTIA Data Plus (DA0-001) 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.

This Radiography 8-in-1 bundle takes a methodical approach to essential supporting knowledge for the radiography field. With no lab coats required, it focuses on anatomy, data handling, reporting, and communication—delivered in a clear, structured format. From understanding the human body to grasping key regulations like GDPR, this bundle also covers first aid essentials, sports injury response, and how to log and present data clearly. Radiography isn’t just about images—it’s about the context behind them. Learning Outcomes: Understand human anatomy relevant to radiographic processes. Apply basic first aid and sports injury response knowledge. Manage personal data with GDPR awareness and care. Log and present medical or clinical data accurately. Communicate clearly in healthcare and administrative settings. Write structured and compliant reports in a medical context. Who is this Course For: Students interested in healthcare or radiography fields. Support staff handling data or documentation in radiology. Healthcare assistants brushing up anatomy and reporting basics. Sports coaches needing injury response awareness. Admins dealing with patient records and reporting. Professionals updating GDPR knowledge in healthcare roles. Allied health staff improving communication and data skills. Career changers exploring entry-level healthcare theory. Career Path: Radiography Assistant – £20,000–£26,000 per year Medical Administrator – £22,000–£28,000 per year Healthcare Support Worker – £21,000–£25,000 per year Sports Injury Assistant – £20,000–£27,000 per year Medical Records Clerk – £21,000–£26,000 per year GDPR Officer (NHS) – £30,000–£42,000 per year

Data dashboards provide key information to stakeholders so that they can make informed decisions. While there are plenty of software solutions for building these essential data products, there is much less guidance on how to design dashboards to meet the diverse needs of users.  This course is for anyone who is building or implementing dashboards, and wants to know more about design principles and best practice. You could be using business intelligence software (such as Power BI or Tableau), or implementing bespoke solutions.  The course will give your team the ability to evaluate user needs and levels of understanding, make informed decisions about chart selections, and make effective use of interactivity dynamic data.  We’ll work with you before the course to ensure that we understand your organisation and what you’re hoping to achieve.  Sample learning content  Session 1: Data with a purpose Understanding the different types of dashboard. Information overload and other common dashboard pitfalls. Assessing user needs and levels of data fluency. Session 2: Planning a dashboard Assessing diverse user needs and levels of data fluency. Taking a User Experience (UX) approach to design and navigation. Applying an interative and collaborative approach to onboarding. Session 3: Graphs, charts and dials  Understanding how graphical perception informs chart choices. Making intelligent design choices to help users explore. Design principles for layout and navigation. Session 4: Using interactivity  Making effective use of filters to slice and dice data sets. Using layers of information to enable drilldown data exploration. Complenting dashboards with automated alerts and queries. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial “Alan was great to work with, he took us through the concepts behind data visualisation which means our team is now equipped for the future. He has a wide range of experience across the topic that is delivered in a clear, concise and friendly manner. We look forward to working with Alan again in the future.” John Masterson | Chief Product Officer | ImproveWell

Data doesn’t lie—but interpreting it well takes skill. This Data Science 8-in-1 Premium Courses Bundle offers structured guidance on handling, visualising, and interpreting data using industry-relevant tools like Excel, Power BI, SQL, and Python. Whether you’re a curious beginner or improving your analytics know-how, this course is built to speak your language (and code). It doesn’t stop at software either—you’ll also explore communication, GDPR considerations, and how to share findings clearly. No fluff, no mystery—just data done properly, and explained in plain terms. Ideal for those who like facts with fewer frills. Learning Outcomes: Analyse data using Python, Excel, and Power BI. Write and interpret basic SQL queries and statements. Apply data protection rules in line with GDPR principles. Communicate data insights clearly and without jargon. Build simple dashboards and reports from datasets. Understand basic structures in data science pipelines. Who is this Course For: Beginners exploring data science tools and concepts. Admins handling spreadsheets and databases daily. Analysts wanting to refresh their data software skills. IT staff supporting data-driven teams or processes. Career changers moving into technical data fields. Business professionals working with reports and metrics. Entrepreneurs reviewing sales, traffic, or operations data. Students building a portfolio of software-based data skills. Career Path: Junior Data Analyst – £28,000–£35,000 per year Business Intelligence Assistant – £30,000–£40,000 per year SQL Analyst – £32,000–£42,000 per year Excel Reporting Specialist – £25,000–£34,000 per year Python Developer (Data Focus) – £35,000–£48,000 per year Power BI Technician – £30,000–£45,000 per year