195 Data Skills courses in Leeds delivered Online

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

The Data Analyst Mini Bundle equips learners with core skills in data analysis and management, including courses on data entry, SQL, Python programming, and Microsoft Access. This bundle is ideal for anyone interested in entering the field of data analytics or enhancing their ability to handle and interpret data effectively. The curriculum focuses on key tools and techniques for collecting, organising, and analysing data. Learners gain a solid foundation in programming languages and software widely used in data roles, enabling confident application of data skills in various industries. Learning Outcomes: Understand data entry methods and accuracy requirements. Learn SQL for managing and querying databases effectively. Study Python basics for data analysis and automation tasks. Explore Microsoft Access for database management and reporting. Develop skills to clean and interpret data sets accurately. Apply analytical thinking to solve data-related problems. Who Is This Course For: Aspiring data analysts wanting to learn key technical tools. Office staff managing data and database tasks. IT professionals looking to expand data analysis skills. Students preparing for careers in data science or analytics. Business professionals aiming to interpret data confidently. Freelancers handling data collection and reporting duties. Individuals interested in programming for data applications. Anyone seeking an online introduction to data analytics. Career Path: Data Analyst – £28,000 to £45,000 SQL Developer – £30,000 to £48,000 Business Intelligence Analyst – £32,000 to £50,000 Data Entry Specialist – £18,000 to £25,000 Python Developer (Data Focus) – £35,000 to £55,000 Database Administrator – £30,000 to £48,000

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Become a sought-after specialist in financial compliance with the AML Analyst Mini Bundle. Designed for those aiming to break into anti-money laundering and risk analysis roles, this bundle focuses on AML, cashflow management in crisis, business law, data analysis, and tax—all crucial skills employers look for. In an era of heightened financial regulations, being proficient in these areas makes you an asset employers compete for. Don’t wait—upgrade your qualifications today. Description The AML Analyst Mini Bundle expertly combines five critical skill areas: AML expertise, strategic cashflow management in crisis, knowledge of business law, strong data analysis, and understanding of tax regulations. Employers value candidates who can blend AML vigilance with practical financial crisis management and legal awareness. Whether you’re entering banking, corporate risk, or government oversight, this bundle’s focus on AML, cashflow management in crisis, business law, data analysis, and tax equips you to meet rigorous compliance standards and support effective financial controls. FAQ Q: Who is this bundle for? A: Aspiring AML analysts, risk managers, and compliance professionals. Q: What makes cashflow management important here? A: Managing cashflow in crisis is vital for identifying suspicious financial activity. Q: Does it include legal training? A: Yes, business law and tax ensure a rounded compliance skillset. Q: Are data skills part of this bundle? A: Absolutely—data analysis is key for interpreting financial trends and red flags. Q: Will this help me get hired faster? A: Yes, these combined skills are exactly what employers seek in AML roles. Q: When should I enroll? A: Now—financial compliance hiring is growing rapidly.

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.

Duration 2 Days 12 CPD hours Overview Identify and configure basic functions of Tableau. Connect to data sources, import data into Tableau, and save Tableau files Create views and customize data in visualizations. Manage, sort, and group data. Save and share data sources and workbooks. Filter data in views. Customize visualizations with annotations, highlights, and advanced features. Create and enhance dashboards in Tableau. Create and enhance stories in Tableau As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage. The creation of data-backed visualizations is a key way data scientists, or any professional, can 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. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets?. Lesson 1: Tableau Fundamentals Topic A: Overview of Tableau Topic B: Navigate and Configure Tableau Lesson 2: Connecting to and Preparing Data Topic A: Connect to Data Topic B: Build a Data Model Topic C: Save Workbook Files Topic D: Prepare Data for Analysis Lesson 3: Exploring Data Topic A: Create Views Topic B: Customize Data in Visualizations Lesson 4: Managing, Sorting, and Grouping Data Topic A: Adjust Fields Topic B: Sort Data Topic C: Group Data Lesson 5: Saving, Publishing, and Sharing Data Topic A: Save Data Sources Topic B: Publish Data Sources and Visualizations Topic C: Share Workbooks for Collaboration Lesson 6: Filtering Data Topic A: Configure Worksheet Filters Topic B: Apply Advanced Filter Options Topic C: Create Interactive Filters Lesson 7: Customizing Visualizations Topic A: Format and Annotate Views Topic B: Emphasize Data in Visualizations Topic C: Create Animated Workbooks Topic D: Best Practices for Visual Design Lesson 8: Creating Dashboards in Tableau Topic A: Create Dashboards Topic B: Enhance Dashboards with Actions Topic C: Create Mobile Dashboards Lesson 9: Creating Stories in Tableau Topic A: Create Stories Topic B: Enhance Stories with Tooltips

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Overview The Advanced Diploma in Microsoft Excel is the best way for you to gain deep insight and knowledge of this topic. You will learn from industry experts and obtain certificates after completing the course. Enrol now for a limited-time discounted price. Like all the courses of The Teachers Training, this Advanced Diploma in Microsoft Excel is designed with the utmost attention and thorough research. All the topics are broken down into easy to understand bite-sized modules that help our learners to understand each lesson very easily. We don't just provide courses at The Teachers Training; we provide a rich learning experience. After purchasing a course from The Teachers Training, you get complete lifetime access with tutor support.  Our expert instructors are always available to answer all your questions and make your learning experience exquisite. After completing the Advanced Diploma in Microsoft Excel, you will instantly get an e-certificate that will help you get jobs in the relevant field and will enrich your CV. What You Will Learn Get to know about relevant job opportunities. Format data labels, create excel values and build basic formulas in excel. Learn all the functions like SUM(), MIN(), MAX() etc Be able to insert images and shapes and customise icons Change layout views, convert spreadsheets into PDFs and print specific ranges of cells Learn how to group and filter pivot table data Skills You Will Gain Keyboard shortcuts Conditional formatting Flash Fill Filters/ AutoFilter Fast Track your Excel skills Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Assessment To successfully complete the course you must have to attend the MCQ assessment. The assessment is delivered through our online learning platform. You will receive the results of your assessment immediately upon completion. Certification CPD Certification from The Teachers Training: Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs.

Duration 2 Days 12 CPD hours This course is intended for This course can be valuable for anyone who needs to write basic SQL or Transact-SQL queries. This includes anyone working with data as a data analyst, a data engineer, a data scientist, a database administrator or a database developer. It can also be useful for others peripherally involved with data, or wanting to learn more about working with data such as solution architects, students and technology managers. This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics. 1 - Introduction to Transact-SQL Work with schemas Explore the structure of SQL statements Examine the SELECT statement Work with data types Handle NULLs 2 - Sort and filter results in T-SQL Sort your results Limit the sorted results Page results Remove duplicates Filter data with predicates 3 - Combine multiple tables with JOINs in T-SQL Understand joins concepts and syntax Use inner joins Use outer joins Use cross joins Use self joins 4 - Write Subqueries in T-SQL Understand subqueries Use scalar or multi-valued subqueries Use self-contained or correlated subqueries 5 - Use built-in functions and GROUP BY in Transact-SQL Categorize built-in functions Use scalar functions Use ranking and rowset functions Use aggregate functions Summarize data with GROUP BY Filter groups with HAVING 6 - Modify data with T-SQL Insert data Generate automatic values Update data Delete data Merge data based on multiple tables Additional course details: Nexus Humans DP-080T00 Querying Data with Microsoft Transact-SQL 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-080T00 Querying Data with Microsoft Transact-SQL 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 intended for business users who have been using Power BI to build analytic solutions and are ready to take advantage of the power and flexibility that DAX provides. Learning DAX is a very common 'next step' for experienced Power BI users. Overview At course completion, you should be able to describe DAX syntax, data types, and errors use DAX to create calculated columns, measures, and tables explain how DAX calculations are evaluated, along with the differences between row context and filter context configure and use Time Intelligence to perform common time-based calculations, for example to-date calculations, year-over-year analysis, moving averages, etc. create calculated columns and measures that use data from multiple tables in the data model write measures that handle error conditions gracefully use DAX to enhance the Power BI user experience use DAX Studio to connect to a Power BI data model and execute simple queries Welcome to Introduction to DAX for Power BI. This two-day instructor-led course is intended for business users who have been using Power BI and want to use DAX to create custom calculations in their data models. In this class, you will be introduced to using Data Analysis Expressions (DAX), which is the expression language that is used to create custom calculations in the Power BI Data model. The course covers some of the theoretical underpinnings of the data model and the DAX language, but the emphasis is on using DAX to solve common business problems. You will learn how to write your own calculated columns, measures, and tables, how to visualize the way Power BI computes DAX calculations, and how to troubleshoot custom code. MODULE 1: GETTING STARTED WITH DAX INTRODUCTION TODAX CREATING OBJECTS WITHDAX CONTEXT AND RULES OF EVALUATION VARIABLES,COMMENTS,AND TESTING MODULE 2: PERFORMING BASIC CALCULATIONS GETTING STARTED IMPLICIT MEASURES ADDING QUICK MEASURES WORKING WITH DAX DATA TYPES . DOING BASIC MATH USING LOGIC IN YOUR CALCULATIONS USING THE IF() FUNCTION NESTED IF() USING THE SWITCH() FUNCTION ADVANCED SWITCH() LOGICAL OPERATORS & FUNCTIONS: ||, OR(), &&, AND(), NOT() AGGREGATING AND SUMMARIZING DATA THE SUM() FUNCTION MODULE 3: WORKING WITH CONTEXT IN THE DATA MODEL CONTEXT DEFINED DATA MODELING BASICS INTRODUCTION TO DIMENSIONAL MODELING RELATIONSHIPS AND THEIR EFFECT ON THE EVALUATION CONTEXT GETTING DATA FROM OTHER TABLES USING RELATED() AND RELATEDTABLE LOOKING UP DATA WITHOUT USING RELATIONSHIPS MODIFYING THE CONTEXT USING CALCULATE() MODULE 4: PERFORMING MORE ADVANCED CALCULATIONS THE DAX ITERATOR FUNCTIONS USING TABLE MANIPULATION FUNCTIONS MODULE 5: WORKING WITH TIME PERFORMING DATE CALCULATIONS WORKING WITH DATE TABLES GENERATING A DATE TABLE WITH THE CALENDAR() FUNCTION DEFINING CUSTOM OPERATING PERIODS YTD, QTD, AND MTD CALCULATIONS CUSTOM TO-DATE CALCULATIONS FINDING YEAR-OVER-YEAR CHANGE FINDING MOVING AVERAGES MODULE 6: ENHANCING THE USER EXPERIENCE CONTROLLING VISIBILITYOF YOUR MEASURES USING WHAT-IF PARAMETERS ADDING BANDING USING DAX TO PROVIDE ROW-LEVEL SECURITY