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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
SSRS Report Builder Course Summary. Practical SSRS Report Builder course, to leavy you full conversant with queries, DML and DDL statements. Hands-on, Practical SSRS course. PCWorkshops SSRS Course Certificate. Max 4 people per course, we keep it personalised. Where is the SSRS Report Builder Course? Online: Instructor-led. Classroom: Request per email. SSRS Course Materials SSRS Coding Examples Manuals and Notes: In-depth reference materials Exercises: Practical exercises Payment Options → £600, Follow the booking link Arrange for installments Included with SSRS Report Builder Course: SSRS Course Certificate on completion. SSRS Course Manual. Practical SSRS Course exercises. SSRS Code Samples. After the course, 1 free session for questions. Max group size, online and in classroom, on this SSRS Course is 4. Course Topics SSRS Report Builder Course Topics SSRS Course topics: This course focus on producing reports using MS SQL SSRS Report Builder, to use the product features and tools related to data retrieval, visualisations and deployment. The Target Audience: end-users who will produce reports for their department or group using datasets. SSRS Course Topics Report Models: Data source views Creating a model Entities, attributes and roles Tables: Creating tables Interactive sorting Floating headers Grouping: Inserting groups Group headers/footers Displaying group totals Expanding and collapsing Expressions: The expression builder The Report Items collection Built-in fields Conditional formatting expressions Page headers and footers Page names and numbers Exporting reports: The various report formats Using RenderFormat. Parameters: Creating parameters Filtering using parameters Drop list parameters Coping with empty tables Matrices: Row and column groups Sorting and filtering matrices Creating subtotals Charts: Creating charts The parts of a chart Formatting charts Basic reports: Text boxes and images Selecting report items Formatting parts of a report Miniature charts Creating sparklines Creating data bars Graphical indicators Creating and customising indicators Linear and radial gauges Lists: Page-per-record lists Dashboard lists Other list ideas Subreports: Creating a child report Creating the main report Linking the two reports Report parts: Publishing report parts The report part gallery Updating report parts Book the SSRS Course About us Our experienced trainers are award winners. More about us FAQ's Client Comments
SSRS Report Builder Course Summary. Practical SSRS Report Builder course, to leavy you full conversant with queries, DML and DDL statements. Hands-on, Practical SSRS course. PCWorkshops SSRS Course Certificate. Max 4 people per course, we keep it personalised. Where is the SSRS Report Builder Course? Online: Instructor-led. Classroom: Request per email. SSRS Course Materials SSRS Coding Examples Manuals and Notes: In-depth reference materials Exercises: Practical exercises Payment Options → £600, Follow the booking link Arrange for installments Included with SSRS Report Builder Course: SSRS Course Certificate on completion. SSRS Course Manual. Practical SSRS Course exercises. SSRS Code Samples. After the course, 1 free session for questions. Max group size, online and in classroom, on this SSRS Course is 4. Course Topics SSRS Report Builder Course Topics SSRS Course topics: This course focus on producing reports using MS SQL SSRS Report Builder, to use the product features and tools related to data retrieval, visualisations and deployment. The Target Audience: end-users who will produce reports for their department or group using datasets. SSRS Course Topics Report Models: Data source views Creating a model Entities, attributes and roles Tables: Creating tables Interactive sorting Floating headers Grouping: Inserting groups Group headers/footers Displaying group totals Expanding and collapsing Expressions: The expression builder The Report Items collection Built-in fields Conditional formatting expressions Page headers and footers Page names and numbers Exporting reports: The various report formats Using RenderFormat. Parameters: Creating parameters Filtering using parameters Drop list parameters Coping with empty tables Matrices: Row and column groups Sorting and filtering matrices Creating subtotals Charts: Creating charts The parts of a chart Formatting charts Basic reports: Text boxes and images Selecting report items Formatting parts of a report Miniature charts Creating sparklines Creating data bars Graphical indicators Creating and customising indicators Linear and radial gauges Lists: Page-per-record lists Dashboard lists Other list ideas Subreports: Creating a child report Creating the main report Linking the two reports Report parts: Publishing report parts The report part gallery Updating report parts Book the SSRS Course About us Our experienced trainers are award winners. More about us FAQ's Client Comments
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