689 Microsoft courses delivered Live Online

Use some of the hidden statistical analysis tools within Excel to build complex data models. Course overview Duration: 1 day (6.5 hours) This advanced Excel course looks at some of the statistical analysis tools available and gives examples of when they might be used. This course is aimed at advanced users of Excel who work with statistical data often and have a good knowledge of Maths. Objectives By the end of the course you will be able to: Use Goal Seek Create and view scenarios Use Forecast Sheet Create single and double input data tables Create models using the solver Install and use the Analysis Toolpak Create and use array formulas Use a range of advanced Financial and Statistical Excel functions Content Using what if analysis options Using Goal Seek Creating, saving and viewing scenarios Generating a Forecast sheet Solver Creating models Projecting scenarios with Solver Using data tables Creating single input data tables Creating double input data tables Projecting with data tables Financial functions PMT FV NPV Analysing data with Analysis ToolPak Installing the Analysis Toolpak Generating statistical analysis Visualising data using Histograms Array formulas Using embedded Excel Array formulas Create an Array formula Multi and single cell Array formula Using TRANSPOSE to flip rows or columns Use the FREQUENCY Function Use an array to count unique entries in a range Dynamic arrays Spilling data Using the new dynamic array functions Advance functions in formulas Statistical functions:MEAN, MEDIAN and MODERANKLARGE and SMALLMODPERCENTILE Use the AGGREGATE function to sum data in ranges with errors

Learn how to work with and connect multiple data sets to effectively analyse and report on data. Course overview Duration: 1 day (6.5 hours) Within Excel you have some powerful features to enable you to connect and analyse multiple data sources. Power Query enables you to import and manipulate your data, Power Pivot enables you to connect multiple data sources and create pivot tables and pivot charts from them. This course is an introduction to Power Query and Power Pivot in Excel to get you started on creating a powerful reporting capability. Knowledge of working with Excel workbooks and relational databases would be an advantage. Objectives By the end of the course you will be able to: Import data from multiple data sources Edit and transform data before importing Add extra columns of data Append data Merge data from other tables Create data models Build data relationships Build Pivot Tables Build Pivot Charts Use Slicers and Timeline Filters Content Importing data Data sources Importing data Transforming data Editing your data Setting data types Removing columns/rows Choosing columns to keep Setting header rows Splitting columns Appending queries Appending data from other tables Adding text Columns from example Custom columns Conditional columns 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 Analysing information using pivot tables Creating and modifying a Pivot Table Recalculating the Pivot Table Filtering the Pivot Table Searching the Pivot Table Drilling down to underlying data Customising field names Changing field formatting Pivot charts, slices and timelines Creating Pivot Charts Adding and using Slicers

Why Join Digital Marketing Training Course at Osborne Training Osborne Training is well Recognised for quality Regular Lectures led by Industry Expert Tutors Unlimited Access to the State of the Art Virtual Learning Campus Exclusive Access to High quality study materials Flexible payment option available Join Digital Marketing Training course as Pure Online or Blended with Classroom Delivery Access to Digital Marketing Internship for 3 months at the end of the training Unlimited Tutorial Support from expert tutors Get a Student Discount Card from NUS* Get a Free Tablet PC for limited period* Practical Hands-on Projects, Practical focused Assignments and Group-work for greater skills enhancement and understanding real life issues for real life problems Once you complete the bookkeeping course, you will get a certificate from Osborne Training confirming your professional Digital Marketing Qualifications. What jobs could I qualify for? Senior Digital Marketing Manager Digital Marketing Coordinator Executive Digital Marketing Strategist Digital Marketing Consultant In these roles, you could earn on average more than £40,000 annually (source: Reed Salary Checker, UK). Moreover, many go on to become successful (Millionaire sometime) entrepreneur by offering Digital Marketing services or formulating successful Digital Marketing Strategy for their own business. Digital Marketing Qualifications Digital Marketing Qualifications at Osborne Training are developed in Association with Google. Osborne Training offers Total Digital Marketing Course which combines all major skills required to be a successful Digital Marketeer and you also have option to join a complementary Internship at the end of your course. In joining the Total Digital Marketing Course at Osborne Training, you will make one of the greatest decision of your career and can look forward to a successful career in digital marketing. Digital Marketing Course Overview Total Digital Marketing Course covers major areas of Digital Marketing to make you completely ready for the digital era. The Digital Marketing course comes with optional Internship at the end of the training making you highly employable. Practical focused and hands-on approach of the training method helps you to be ready to offer real life solutions for real life problems. Digital Marketing Training Course Content Basics of marketing Marketing In Digital Era All About Web Search Engine Optimization Search Engine Marketing Affiliate Marketing Social Media Marketing Email marketing and nurturing (inbound) Mobile app marketing Content marketing Web, mobile and app analytics Growth Hacking Creating robust digital marketing strategy

SAP Training Online | Sap Training in London, UK What is SAP? SAP is one of the largest ERP(Enterprise Resource Planning) software in the world. It provides end to end solution for Financials, Manufacturing, Logistics, Distributions etc. SAP applications, built around their latest R/3 system, provide the capability to manage financial, asset, and cost accounting, production operations and materials, personnel, plants, and archived documents. The R/3 system runs on a number of platforms including Windows and MAC and uses the client/server model. SAP Career Potential You can become a SAP consultant. SAP consultants analyze, design, and configure new computer software and systems in accordance with their employers' or clients' specifications, as well as write programs such as forms, specifications, and interfaces. They also test new interfaces to ensure that system workflows are optimized and interact with end-users to make changes as requested and obtain feedback. As a SAP consultant, you could expect to earn £80,000-£150,000 per year. Which SAP Module Osborne Training offers training on various sap modules such as  Financial and Controlling Sales and Distribution Material Management CRM SRM HANA And many more... Study Options Instructor-Led Live SAP Online Training Students attending training through Online LIVE Training have a real-time, Live Instructor-Led student experience through the world-class Virtual Learning Campus. Online LIVE Training provides an engaging live classroom environment that allows students to easily interact with instructors and fellow students virtually. Classroom-Based Live SAP Training in London Osborne Training offers evening sessions for classroom-based training, where an experienced Tutor/Consultant goes through the whole SAP Training course from the London campus. Only selected modules are offered from the London campus. Free Certification from Osborne Training on completion. You may attempt for SAP certification exams online to get certificate directly from SAP. Syllabus varies depending on the module take. Please send a query to receive full syllabus information.

Following on from the Macros course look at how you can write your own Visual Basic code within Excel to fully automate tasks and save time. Course overview Duration: 2 days (13 hours) Our VBA in Excel course is an introduction to using the Visual Basic for Applications language for programming in Excel. It looks at structures, syntax and coding standards. This course is designed for existing experienced users of Excel who can record and run macros and those who have dabbled in VBA but would like some formal training and help to put some structure to their code. Objectives  By the end of the course you will be able to: Write visual basic procedures Create event and general procedures Use commands from the Excel data model Use statements and functions Use a selection of debugging tools Create and use variables and constants Use different types of loops Create an Excel user form Content The VBA environment Project explorer Excel objects Modules Properties window Code window Code structure Code structure Navigating within your code Adding comments Using WITH Steps to creating a VBA procedure Procedures Sub procedures Event procedures Calling procedures The Excel data model Workbook commands Worksheet commands Excel selection methods Data manipulation commands Debugging Using breakpoints Stepping through code The immediate window The watch window The locals window points Variables and Constants Declaring variables Declaring multiple variables Variable data types Concatenation Scope of variables Constants Declaring constants Using constants Scope of constants Looping Do while loops Do until loops For next loops Conditional Statements IF statement SELECT CASE statement Comparison statements Logical operators Creating a User Form Form layout The control toolbox Naming conventions Adding objects Naming objects Captions Displaying the form Object properties Object properties Setting properties at design time Setting properties at run time Interconnectivity between the user form and Excel Comparing values Transferring information Running code

Look at the in depth features of charts and some specialist tools to make your charts come to life. Course overview Duration: 1 day (6.5 hours) Our Excel Charting Specialist course examines how to unlock the full potential of Charts in Excel. It investigates the useful tools needed for creating bespoke Charts, allowing you to creatively present data more visually. By the end of the course, you will have an awareness of the tools used for creating more advanced Charts and will be able to create your own Dynamic Charts. The course is designed for existing users of Excel who are looking at more advanced ways to visualise data in Excel using Charts. Objectives By the end of the course you will be able to: Create and Amend Charts Format multiple areas of a Chart Use a Combo Chart Apply Conditional Formatting to a Chart Create Dynamic Charts Work with Custom Formatting Create an Advanced Dynamic Chart Content Creating and amending charts Creating Simple Charts Using the Chart Design tab Adding Chart Elements Changing the type of Chart Formatting charts Format Chart Area Format Data Series Format Data Point Format Axis Working with combo charts Adding additional data to a Chart Customising Chart types Creating Clustered Column/line Charts Applying conditional formatting on charts Using IF Statements Highlighting Max/Min Data points in Charts Using Series Overlap Dynamic charts Creating dynamic Target vs Actual Charts Introducing the NA function Hiding data used for Charts Custom formatting charts Formatting Data Labels Customising number formats Using Trend Arrows to show changes Editing Format Code Advanced dynamic charts Pivot Chart rules Creating a Pivot Chart Working with your Pivot Chart Creating calculations Combining all elements to create an Advanced Chart Using Error Bars to create a line Adding a scroll bar and linking with data

Ideal for those already using Excel but who really want to get to grips with formulas and functions. Course overview Duration: 1 day (6.5 hours) Our Excel Mastering Formulas and Functions course looks at how to confidently use formulas and functions within Excel. It looks at how to correctly construct formulas and explains how to build common formulas such as working with percentages. It investigates a range of built in Excel functions and shows you how to use the formula auditing tools to help when things go wrong.  This course is aimed at existing users of Excel who want to further their skills. Participants should be able to confidently create and amend worksheets. Objectives By the end of the course you will be able to: Construct Formulas Use a range of common Functions Work with absolute and relative references in formulas Create percentage calculations Use named ranges in formulas Use the XLOOKUP command Create formulas with date and use date functions Use formulas in conditional formatting Use a range of Count functions Use the formula auditing tools Content Formulas vs Functions Constructing formulas Using functions Common Excel functions Using the function wizard vs the formula bar Formulas in tables Absolute vs relative references in formulas Using absolute references in formulas Using partial absolute referencing Range Naming Naming ranges Using range names in formulas Single and multi-cell ranges Working with percentages Creating formulas with percentages Percentage breakdowns Percentage increases Formatting as a percentage Using Lookups Using XLOOKUP to insert information from other spreadsheets Calculating with dates Calculating with dates Using date functions Using formulas in conditional formatting Using conditional formulas Using functions in conditional formatting Count functions COUNT COUNTA COUNTBLANK Formula auditing Using the auditing facility Tracing how formulas are made up Tracing precedents and dependants Evaluating formulas Error checking Showing formulas on a sheet

There is a lot to learn in Power BI, this course takes a comprehensive look at the fundamentals of analysing data and includes a balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to utilise the online Power BI service. It looks at authoring tools that enable you to connect to and transform data from a variety of sources, allowing you to produce detailed reports through a range of visualisations, in an interactive and dynamic way. It also includes a detailed look at formulas by writing both M functions in Power Query, and DAX functions in Desktop view. This knowledge will allow you to take your reports to the next level. The aim of this course is to provide a complete introduction to understanding the Power BI analysis process, by working hands-on with examples that will equip you with the necessary skills to start applying your learning straight away. 1 Getting Started The Power BI ecosystem Opening Power BI Desktop Power BI's four views Introduction to Dashboards 2 Importing Files Importing data sources Importing an Excel file Importing a CSV file Importing a database Connect to an SQL Server Database Import vs. Direct Query Importing from the web Importing a folder of files Managing file connections 3 Shape Data in the Query Editor The process of shaping data Managing data types Keeping and removing rows Add a custom column Appending tables together Hiding queries in reports Fixing error issues Basic maths operations 4 The Data Model Table relationships Relationship properties 5 Merge Queries Table join kinds Merging tables 6 Inserting Dashboard Visuals Things to keep in mind Inserting maps Formatting Maps Inserting charts Formatting Charts Inserting a tree map Inserting a table, matrix, and card Controlling number formats About report themes Highlighting key points Filter reports with slicers Sync slicers across dashboards Custom web visuals 7 Publish and share Reports Publishing to Power BI service Editing online reports Pinning visuals to a dashboard What is Q&A? Sharing dashboards Exporting reports to PowerPoint Exporting reports as PDF files 8 The Power Query Editor Fill data up and down Split column by delimiter Add a conditional column More custom columns Merging columns 9 The M Functions Inserting text functions Insert an IF function Create a query group 10 Pivoting Tables Pivot a table Pivot and append tables Pivot but don't aggregate Unpivot tables Append mismatched headers 11 Data Modelling Expanded Understanding relationships Mark a date table 12 DAX New Columns New columns and measures New column calculations Insert a SWITCH function 13 Introduction to DAX Measures Common measure functions Insert a SUM function Insert a COUNTROWS function Insert a DISTINCTCOUNT function Insert a DIVIDE function DAX rules 14 The CALCULATE Measure The syntax of CALCULATE Insert a CALCULATE function Control field summarisation Things of note 15 The SUMX measure X iterator functions Anatomy of SUMX Insert a SUMX function When to use X functions 16 Time Intelligence Measures Importance of a calendar table Insert a TOTALYTD function Change financial year end date Comparing historical data Insert a DATEADD function 17 Hierarchies and Groups Mine data using hierarchies Compare data in groups

Power BI is a powerful data visualisation program that allows businesses to monitor data, analyse trends, and make decisions. This course is designed to provide a solid understanding of the reporting side of Power BI, the dashboards, where administrators, and end users can interact with dynamic visuals that communicates information. This course focuses entirely on the creation and design of visualisations in dashboards, including a range of chart types, engaging maps, and different types of tables. Designing dashboards with KPI's (key performance indicators), heatmaps, flowcharts, sparklines, and compare multiple variables with trendlines. This one-day programme focuses entirely on creating dashboards, by using the many visualisation tools available in Power BI. You will learn to build dynamic, user-friendly interfaces in both Power BI Desktop and Power BI Service. 1 Introduction Power BI ecosystem Things to keep in mind Selecting dashboard colours Importing visuals into Power BI Data sources for your analysis Joining tables in Power BI 2 Working with data Utilising a report theme Table visuals Matrix visuals Drilling into hierarchies Applying static filters Group numbers with lists Group numbers with bins 3 Creating visuals Heatmaps in Power BI Visualising time-intelligence trends Ranking categorical totals Comparing proportions View trends with sparklines 4 Comparing variables Insert key performance indicators (KPI) Visualising trendlines as KPI Forecasting with trendlines Visualising flows with Sankey diagrams Creating a scatter plot 5 Mapping options Map visuals Using a filled map Mapping with latitude and longitude Mapping with ArcGIS or ESRI 6 Creating dashboards High-level dashboard Migration analysis dashboard Adding slicers for filtering Promote interaction with nudge prompts Searching the dashboard with a slicer Creating dynamic labels Highlighting key points on the dashboard Customised visualisation tooltips Syncing slicers across pages 7 Sharing dashboards Setting up and formatting phone views Exporting data Creating PDF files Uploading to the cloud Share dashboards in SharePoint online

This course is designed for those already using Power BI Desktop and are ready to work with more comprehensive elements of analysing and reporting in Power BI. The course maintains a balanced look at data analysis including the Power Query Editor, with a deep dive into writing DAX formulas, and enhanced dashboard visualisations. The aim of this course is to provide a more complete understanding of the whole Power BI analytics process, by working with business examples that will equip you with the necessary skills to output comprehensive reports and explore Power BI's analytical capabilities in more depth. 1 The Query Editor Grouping rows in a table Split row by delimiter Add days to determine deadlines The query editor 2 Fuzzy Matching Joins Matching inconsistencies by percentage Matching with transformation table 3 The Query Editor M Functions Adding custom columns Creating an IF function Nested AND logics in an IF function 4 DAX New Columns Functions Including TRUE with SWITCH Using multiple conditions The FIND DAX function The IF DAX function Logical functions IF, AND, OR 5 Editing DAX Measures Making DAX easier to read Add comments to a measure Using quick measures 6 The Anatomy of CALCULATE Understanding CALCULATE filters Add context to CALCULATE with FILTER Using CALCULATE with a threshold 7 The ALL Measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentages 8 DAX Iterators Anatomy of iterators A closer look at SUMX Using RELATED with SUMX Create a RANKX RANKX with ALL 9 Date and Time Functions Overview of functions Create a DATEDIFF function 10 Time Intelligent Measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 11 Visualisations In-Depth Utilising report themes Applying static filters Group data using lists Group numbers using bins Creating heatmaps Comparing proportions View trends with sparklines 12 Comparing Variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint