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Advanced Microsoft Excel Training Course on Bookkeeping Microsoft Excel is the world's most popular spreadsheet program, learning how to use the software with Osborne Training shows that you've taken one of the best Excel training courses available. Comprehensive excel courses come with up to date material to practice at home and during your class. Excel Course Content Creating worksheets, formatting text Simple and complex formulas Handling rows and columns Average, max and min functions and using charts. Use of IF Formula Summing Techniques Cell References Formula Linking Tables and Bordering Look up References (Vlookup, Hlookup,etc) Data Validation Conditional Formatting Date & Time Formulas Charts & Graphs Protection & Security Creating Pivot Table Pivot Table Analysis

Expand your VBA knowledge further and learn some of the more advanced coding features. Course overview Duration: 2 days (13 hours) This course is aimed at experienced VBA users or those who have attended our Part 1 course and have started to use the language. Part 2 expands on the huge array of commands and elements of the data model that can be used and looks at building more complex VBA models Objectives  By the end of the course you will be able to: Use comparison operators and system functions Use Arrays Work with ranges Work with the worksheets and workbooks collections and objects Use application objects Use the FileSystemObject Create function procedures Import and save text files Connect to other applications Content Comparison operators Using Comparison operators and functions The LIKE function Wildcards Using SELECT Case System functions The VAL function Case functions Trim functions Text functions Date functions Excel worksheet functions Using Excel functions in VBA Arrays Creating arrays Using arrays Ubound and Lbound Single and multi dimensional arrays Static vs dynamic arrays Working with ranges Creating range objects Passing data between range objects and arrays Using Transpose The Excel object model The object browser Working with collections Collections Creating object variables Setting object variables The For Each . . . Next Loo Sheet collections The worksheets collection The worksheet object The sheets collection Using object Grouping worksheets Using Typename The Workbook collection The workbooks collection Setting workbook variables Application objects Excel default information Display/alerts Screen updating Status bar On Time Using Wait Systems dialog boxes Showing dialog boxes Using dialog boxes Working with files Searching for files and folders The DIR function The FileSystemObject Function procedures Creating functions Adding arguments Calling functions Working with text files Searching for files and folders The DIR function The FileSystemObject Using the FILE and FOLDER collections Sharing data with other applications Early vs Late Binding Setting references to other applications Creating application variables Setting application variables

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

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

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Duration 4 Days 24 CPD hours This course is intended for Hadoop Developers Overview Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as:How data is distributed, stored, and processed in a Hadoop clusterHow to use Sqoop and Flume to ingest dataHow to process distributed data with Apache SparkHow to model structured data as tables in Impala and HiveHow to choose the best data storage format for different data usage patternsBest practices for data storage This training course is the best preparation for the challenges faced by Hadoop developers. Participants will learn to identify which tool is the right one to use in a given situation, and will gain hands-on experience in developing using those tools. Course Outline Introduction Introduction to Hadoop and the Hadoop Ecosystem Hadoop Architecture and HDFS Importing Relational Data with Apache Sqoop Introduction to Impala and Hive Modeling and Managing Data with Impala and Hive Data Formats Data Partitioning Capturing Data with Apache Flume Spark Basics Working with RDDs in Spark Writing and Deploying Spark Applications Parallel Programming with Spark Spark Caching and Persistence Common Patterns in Spark Data Processing Spark SQL and DataFrames Conclusion Additional course details: Nexus Humans Developer Training for Spark and Hadoop 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 Developer Training for Spark and Hadoop 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.

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Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS 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 Deep Learning on AWS 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.

Equality is everyone’s right and everyone’s responsibility’. This training promotes the requirements of the Equality and Diversity Act. This session will strengthen understanding of Equality & Diversity.