71 Matric courses delivered Online

Master the art of effective agenda organization with our comprehensive course on Energy & Time Management. Discover strategies to enhance focus, manage distractions, and optimize your daily routines for peak productivity and energy conservation.

Email marketing: Email marketing Course Online Would you like to learn more about email marketing or advance your current knowledge? Our Email marketing: Email marketing fundamentals training will provide you with the abilities you need to be more efficient and organised. This Email marketing: Email marketing fundamentals course covers everything from fundamentals to mobile marketing. Different forms and technologies of email marketing are covered in this Email Marketing: Email Marketing Fundamentals course. Additionally, this Email marketing: Email marketing fundamentals course covers matrices for postal delivery, marketing, and listing. This Email marketing: Email marketing fundamentals course will teach you about campaigning, automation, and leadership. This Email marketing: Email marketing fundamentals course will assist you from the ground up to improve your abilities and understanding of email marketing. To grasp email marketing completely and to increase your productivity at work, sign up for our Email Marketing: Email Marketing Fundamentals course. Special Offers of this Email marketing: Email marketing Course: This Email marketing: Email marketing Course includes a FREE PDF Certificate. Lifetime access to this Email marketing: Email marketing Course Instant access to this Email marketing: Email marketing Course 24/7 Support Available to this Email marketing: Email marketing Course Email marketing: Email marketing Course Online If you want to take your professional prospects in Email Marketing to the next level or establish a successful career in this field, our Email Marketing course is the perfect place to start. This comprehensive course covers a wide range of crucial information about Email Marketing, including some of our most highly demanded courses on the subject. Don't miss out on this opportunity to gain a competitive edge in your career! Who is this course for? Email marketing: Email marketing Course Online Learners with no prior Email Marketing knowledge may enrol in this Email marketing: Email marketing fundamentals course. Special Note: Our Email marketing: Email marketing Course is not a regulated course. If you prefer to get qualified, you can look at the following options: Level 3 Certificate in Email Marketing Level 3 Diploma in Email Marketing Level 4 Certificate in Email Marketing Level 4 Diploma in Email Marketing Level 5 Certificate in Email Marketing Level 5 Diploma in Email Marketing Level 6 Certificate in Email Marketing Level 6 Diploma in Email Marketing Level 7 Certificate in Email Marketing Level 7 Diploma in Email Marketing Requirements Email marketing: Email marketing Course Online To enrol in this Email marketing: Email marketing Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Email marketing: Email marketing Course. Be energetic and self-motivated to complete our Email marketing: Email marketing Course, Basic computer Skill is required to complete our Email marketing: Email marketing Course. If you want to enrol in our Email marketing: Email marketing Course, you must be at least 15 years old. Career path Email marketing: Email marketing Course Online This Email marketing: Email marketing Course fundamentals course will help UK citizens land new employment across a range of sectors.

Email marketing: Email marketing Course Online Would you like to learn more about email marketing or advance your current knowledge? Our Email marketing: Email marketing fundamentals training will provide you with the abilities you need to be more efficient and organised. This Email marketing: Email marketing fundamentals course covers everything from fundamentals to mobile marketing. Different forms and technologies of email marketing are covered in this Email Marketing: Email Marketing Fundamentals course. Additionally, this Email marketing: Email marketing fundamentals course covers matrices for postal delivery, marketing, and listing. This Email marketing: Email marketing fundamentals course will teach you about campaigning, automation, and leadership. This Email marketing: Email marketing fundamentals course will assist you from the ground up to improve your abilities and understanding of email marketing. To grasp email marketing completely and to increase your productivity at work, sign up for our Email Marketing: Email Marketing Fundamentals course. Special Offers of this Email marketing: Email marketing Course: This Email marketing: Email marketing Course includes a FREE PDF Certificate. Lifetime access to this Email marketing: Email marketing Course Instant access to this Email marketing: Email marketing Course 24/7 Support Available to this Email marketing: Email marketing Course Email marketing: Email marketing Course Online If you want to take your professional prospects in Email Marketing to the next level or establish a successful career in this field, our Email Marketing course is the perfect place to start. This comprehensive course covers a wide range of crucial information about Email Marketing, including some of our most highly demanded courses on the subject. Don't miss out on this opportunity to gain a competitive edge in your career! Who is this course for? Email marketing: Email marketing Course Online Learners with no prior Email Marketing knowledge may enrol in this Email marketing: Email marketing fundamentals course. Special Note: Our Email marketing: Email marketing Course is not a regulated course. If you prefer to get qualified, you can look at the following options: Level 3 Certificate in Email Marketing Level 3 Diploma in Email Marketing Level 4 Certificate in Email Marketing Level 4 Diploma in Email Marketing Level 5 Certificate in Email Marketing Level 5 Diploma in Email Marketing Level 6 Certificate in Email Marketing Level 6 Diploma in Email Marketing Level 7 Certificate in Email Marketing Level 7 Diploma in Email Marketing Requirements Email marketing: Email marketing Course Online To enrol in this Email marketing: Email marketing Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Email marketing: Email marketing Course. Be energetic and self-motivated to complete our Email marketing: Email marketing Course, Basic computer Skill is required to complete our Email marketing: Email marketing Course. If you want to enrol in our Email marketing: Email marketing Course, you must be at least 15 years old. Career path Email marketing: Email marketing Course Online This Email marketing: Email marketing Course fundamentals course will help UK citizens land new employment across a range of sectors.

Email marketing: Email marketing Would you like to learn more about email marketing or advance your current knowledge? Our Email marketing: Email marketing fundamentals training will provide you with the abilities you need to be more efficient and organised. This Email marketing: Email marketing fundamentals course covers everything from fundamentals to mobile marketing. Different forms and technologies of email marketing are covered in this Email Marketing: Email Marketing Fundamentals course. Additionally, this Email marketing: Email marketing fundamentals course covers matrices for postal delivery, marketing, and listing. This Email marketing: Email marketing fundamentals course will teach you about campaigning, automation, and leadership. This Email marketing: Email marketing fundamentals course will assist you from the ground up in order to improve your abilities and understanding of email marketing. To grasp email marketing completely and to increase your productivity at work, sign up for our Email Marketing: Email Marketing Fundamentals course. Special Offers of this Email marketing: Email marketing Course This Email marketing Course includes a FREE PDF Certificate. Lifetime access to this Email marketing Course Instant access to this Email marketing Course Get FREE Tutor Support to this Email marketing Course Email marketing: Email marketing Unlock the power of email marketing! Our email marketing course teaches you proven strategies to boost engagement and sales. Master email marketing techniques that convert leads into loyal customers. Don't miss out on the benefits of effective email marketing—enroll today and transform your email marketing game for lasting success! Who is this course for? Email marketing: Email marketing Learners with no prior Email Marketing knowledge may enrol in this Email marketing: Email marketing fundamentals course. Requirements Email marketing: Email marketing To enrol in this Email marketing: Email marketing Course, students must fulfil the following requirements: Email marketing: Good Command over English language is mandatory to enrol in our Email marketing Course. Email marketing:Be energetic and self-motivated to complete our Email marketing Course. Email marketing: Basic computer Skill is required to complete our Email marketing Course. Email marketing: If you want to enrol in our Email marketing Course, you must be at least 15 years old. Career path Email marketing: Email marketing This Email marketing: Email marketing fundamentals course will help UK citizens land new employment across a range of sectors.

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

Duration 4 Days 24 CPD hours This course is intended for This course is designed for platform developers, UI developers, solution architects, and technical architects who are responsible for the setup, configuration, or maintenance of OmniStudio applications or Salesforce Industry Cloud apps. You should have a solid understanding of basic Salesforce concepts and functionality, including Lightning Web Components (LWC), as well as experience working with relational databases and familiarity with JSON. Ideally, you hold the Salesforce Administrator or Salesforce Platform Developer I credential. This class is recommended for anyone looking to earn their Salesforce Certified OmniStudio Developer credential. Overview Create FlexCards and build an OmniStudio Interaction Console to improve customer experience. Create OmniScripts to ensure productive, consistent user engagement. Use Integration Procedures to execute complex operations on the server and incorporate external data sources. Create and modify DataRaptors to get data from Salesforce, transform data, and save data back to Salesforce. Create Calculation Matrices and Calculation Procedures to execute data lookups and calculations. Discover how to develop engaging, digital-first guided experiences using OmniStudio tools. In this class, our OmniStudio experts will show you how to use FlexCards, OmniScripts, and the OmniStudio Interaction Console to configure applications that elevate the user experience. You?ll learn how to retrieve and transform internal and external data using declarative OmniStudio data tools to get a 360-degree view of customer accounts, empowering you to quickly deliver high-quality, consumer-grade experiences that your users expect. Introduction to OmniStudio Explore OmniStudio Tools and Resources OmniStudio LWC Learn the Benefits and Features of OmniStudio LWC and Component Types FlexCards and Omnistudio Interaction Consoles Design and Build Parent and Child FlexCards Assign Data Sources to FlexCards, Including External Data Sources Configure Fields to Display Data and Configure Actions to Launch OmniScripts from FlexCards Configure FlexCard Flyouts to Display Additional Data Configure Conditions to Display Different Flexcard States Build an OmniStudio Interaction Console OmniScripts Design and Build Simple and Complex OmniScripts Configure OmniScript Elements such as Type Ahead Blocks Configure Element Properties such as Branching Conditions Configure Simple Error Checking Add External Data to an OmniScript Connect an Interaction Launcher to a Console Toolbar Integration Procedures and OmniStudio Data Tools Learn How OmniStudio uses Salesforce sObjects and Fields Learn How Data Flows Between OmniScripts and Integration Procedures Build Integration Procedures and DataRaptors for OmniScripts and FlexCards Use a DataRaptor to Transform FlexCard Data JSONs Build Calculation Matrices and Procedures Test and Troubleshoot Components in the OmniStudio Interaction Console Additional course details: Nexus Humans Salesforce Build Guided Experiences with OmniStudio (OMS435) 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 Salesforce Build Guided Experiences with OmniStudio (OMS435) 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 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Process Architects, Business Process Owners/Team Leads/Power Users, Data Consultants/Managers, and Solution Architects. Overview Students will set up and deliver their own master data from SAP ERP to SAP SCM (APO), and make any necessary master data enhancements to ensure proper planning results in APO.Students will complete the modeling of their supply chain by creating APO master data that is necessary to activate a fully functional Supply Chain in APO. In this course, students learn how to set up and configure the standard interface between the SAP ERP system and SAP SCM with focus on SAP APO. Integration for Supply Chain Modeling Integrating SAP ERP and SAP SCM Configuring an Integration Model Using Monitoring and Error-Processing Tools Setting Up Incremental Data Transfers for Master Data Changes Organizing Integration Models Performing Routine Operations with Background Processing Supply Chain Locations Managing Locations Integrating Plant Data Integrating MRP Areas Managing Transportation Zones Integrating Customers as Locations Integrating Vendors as Locations Integrating Factory Calendars and Time Streams Supply Chain Products Integrating Products Maintaining Product Data External Procurements Relationships Integrating Purchasing Information Records Integrating Scheduling Agreements Network Modeling Creating Means of Transportation Creating Transportation Lanes Supply Chain Resources Integrating Production Resources Creating Supply Chain Management (SCM)-Specific Resources Integrating Capacity Variants Integrating Setup Groups and Matrices Manufacturing Process Modeling Preparing Integration of Master Data Mapping Bill of Materials (BOM) Fields Mapping the Routings Fields Integrating Production Master Data Transferring a Master Recipe to a Production Process Model (PPM) Transferring Characteristics and Classes Quota Arrangement Creating Quota Arrangements Supply Chain Modeling Creating an SAP liveCache Model Creating a Version in SAP SCM Using the Supply Chain Engineer (SCE) Transactional Data Integration Integrating Transactional Data Supply Chain Subcontracting Preparing Master Data for Subcontracting

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Discover the powerful schedule and cost risk analysis features of PRA. Course overview Duration: 2 days (13 hours) Our Primavera Risk Analysis course gives a detailed introduction to the schedule and risk analysis features of Primavera Risk Analysis. It shows the powerful features of the tool and give hands on practice throughout the course to ensure you can confidentially put your new skills into practice back in the workplace. This course is designed for new users of Primavera Risk Analysis, and no previous experience is required. You should however be familiar with risk management processes and terminology. Objectives  By the end of the course you will be able to: Import schedules into PRA Add three point estimates onto plans Perform schedule and cost analysis Use templated quick risk Run risk analysis Interpret results from the Risk Histogram and Tornado graph Add task percentiles to a Gantt chart Set up a risk register Add qualitative and quantitative risks Link risk to activities in the plan Create reports Use the Distribution Analyser Content Importing schedules Importing MSP and Primavera Schedules Running import checks Checking schedule integrity Schedule risk analysis 3 point estimating Entering uncertainly Different distributions Using quick risk Updating plan Importing plans with 3 point estimates Cost/Resource uncertainty Resource loadings Creating 3 point cost estimates Resource distributions and escalations Simple cost estimates Templated quick risk Setting up and applying templated quick risk Assessing risk at WBS level Running risk analysis Running risk analysis Interpreting results on the Risk Histogram Setting analysis options Task percentiles Setting task percentile options Including task percentiles on the Gantt chart Tornado graph Creating a Tornado graph Viewing sensitivity Analysing sensitivity against activities Setting up the risk register Setting Schema levels Defining criteria and tolerances Setting up a Risk Breakdown Structure (RBS) Working with manageability and proximity Saving scoring matrices Adding custom fields Exporting data Exporting to Excel, Word and PowerPoint Qualitive risks Setting risk IDs Adding risk cause, description and effect Setting up risk details Entering mitigation actions Quantitative risks Linking risks to activities Adding schedule and cost impacts Defining how multiple risks impact Correlation Migrating your plan Adding mitigation actions to your plan as tasks Linking tasks to mitigation actions Actioning your risk register Progressing risks Importing progressed plans Linking register to progressed plans Risk history The Waterfall chart Saving and reporting Exporting the risk register Running reports Creating new reports Building and comparing risk plans Using the distribution analyser Comparing dates and cost

Learn how to use this powerful tool to import and clean data and create some amazing visuals. Course overview Duration: 2 days (13 hours) Power BI Desktop is a powerful tool for working with your data. It enables you to import multiple data sources and create effective visualisations and reports. This course is an introduction to Power BI to get you started on creating a powerful reporting capability. You should have a good working knowledge of Excel and managing data before attending. Objectives  By the end of the course you will be able to: Import data from multiple data sources Edit and transform data before importing Create reports Create different visualisations Create data models Build data relationships Use the drill down features Create measures Use the Power BI Service Build dashboards Use the mobile app Content Essentials Importing Data Power BI Overview Data sources Importing data Transforming Your Data Editing your data Setting data types Removing columns/rows Choosing columns to keep Setting header rows Splitting columns Creating Reports Creating and saving reports Adding pages Renaming pages Interactivity Refreshing your data Adding Columns Columns from example Custom columns Conditional columns Append Queries Importing folders Setting up and using append queries Creating Chart Visualisations Adding chart elements Choosing chart types Setting properties Setting values, axis and legends Using tooltips Visual filters Setting page and report filters Creating Tables, Cards, Gauges and Maps Adding table elements Adding maps Working with cards Working with matrices KPIs and Gauges Conditional Formatting Setting rules Removing conditional formatting   Working with Data Models Merge Queries Setting up and using merge queries Merging in columns of data Creating a Data Model The data model Multiple data tables Connecting tables Building relationships Relationship types Building visuals from multiple tables Unpivoting Data Working with summary data Unpivoting data Using Hierarchies Using built in hierarchies Drill down Drill up See next level Expand a hierarchy Create a new hierarchy Grouping Grouping text fields Grouping date and number fields Creating Measures DAX functions DAX syntax Creating a new measure Using quick measures Using the PowerBI Service Shared workspaces My workspace Dashboards Reports Datasets Drill down in dashboards Focus mode Using Q&A Refreshing data Using Quick Insights Power BI Mobile App Using the Power BI Mobile App