3458 Office Skills & Productivity courses in Houghton-le-Spring delivered Online

Duration 2 Days 12 CPD hours This course is intended for Administrators Overview Please refer to course overview This offering covers the fundamental concepts of installing and configuring IBM Cognos Analytics, and administering servers and content, in a distributed environment. In the course, participants will identify requirements for the installation and configuration of a distributed IBM Cognos Analytics software environment, implement security in the environment, and manage the server components. Students will also monitor and schedule tasks, create data sources, and manage and deploy content in the portal and IBM Cognos Administration. Introduction to IBM Cognos Analytics administration IBM Cognos Analytics components Administration workflow IBM Cognos Administration IBM Cognos Configuration Identify IBM Cognos Analytics architecture Features of the IBM Cognos Analytics architecture Examine the multi-tiered architecture, and identify logging types and files Examine IBM Cognos Analytics servlets Performance and installation planning Balance the request load Configure IBM Cognos Analytics Secure the IBM Cognos Analytics environment Identify the IBM Cognos Analytics security model Define authentication in IBM Cognos Analytics Define authorization in IBM Cognos Analytics Identify security policies Secure the IBM Cognos Analytics environment Administer the IBM Cognos Analytics server environment Administer IBM Cognos Analytics servers Monitor system performance Manage dispatchers and services Tune system performance, and troubleshoot the server Audit logging Dynamic cube data source administration workflow Manage run activities View current, past, and upcoming activities Manage schedules Manage content in IBM Cognos Administration Data sources and packages Manage visualizations in the library Deployment Other content management tasks Examine departmental administration capabilities Create and manage team members Manage activities Create and manage content and data Manage system settings Manage Themes, Extensions, and Views Share services with multiple tenants

Duration 1 Days 6 CPD hours This course is intended for Multi-role (consumers, business authors, professional authors, developers, administrators, modelers, project managers) This course provides students with an overview of the IBM Cognos Analytics suite of products and their underlying architecture. Students will examine each component as it relates to an Analytics solution & will be shown a range of resources. IBM Cognos Analytics Describe IBM Cognos Analytics Describe IBM Cognos Analytics components Describe IBM Cognos architecture at a high level Describe IBM Cognos security at a high level Consume Content in IBM Cognos Analytics Where do consumers access BI content? Use published reports Drill through to related data Specify run report options Specify properties of an entry Alerts and Watch Items Create Reports in IBM Cognos Analytics Overview of reporting and report authoring Identify package types, uploaded files, and data modules available for reporting Examine IBM Cognos Analytics - Reporting Examine the interface Explore different report types Create a simple, sorted, and formatted report Create a report view Create a subscription Create an Active Report Import and report on personal data Create Dashboards in IBM Cognos Analytics Describe IBM Cognos Dashboarding Identify the IBM Cognos Dashboarding user interface Add report content and tools to create dashboards Widget-to-widget communication Filter data in the dashboard Sort, group and ungroup, and calculate data Create Metadata Models in IBM Cognos Analytics Define IBM Cognos Framework Manager and its purpose Describe the IBM Cognos Framework Manager environment Describe IBM Cognos Cube Designer Get high-level content from Dynamic Cubes course and/or FM course Web-based Modeling Create Data Modules Extend IBM Cognos Analytics Introduction to IBM Cognos Mobile Key features Examine Cognos Mobile architecture Identify supported products Introduction to IBM Cognos BI for Microsoft Office Describe Cognos Analysis for Excel (CAF) Compare IBM Cognos Analytics & IBM Cognos BI New features in IBM Cognos Analytics Changes from IBM Cognos BI to IBM Cognos Analytics Legacy option Examine Event Studio Examine the role of Event Studio in Performance Management List the benefits of Event Studio Examine Metric Studio Identify scorecards, metrics, and metric types Organize metrics with strategies Track initiatives with projects

🚀 Unlock the Power of Data with Our Machine Learning Course! 🤖 Are you ready to dive into the revolutionary world of Machine Learning? Welcome to our comprehensive course designed to equip you with the skills and knowledge needed to harness the potential of data-driven decision-making. 🎓 Machine Learning has rapidly emerged as one of the most transformative technologies of the 21st century. From powering intelligent virtual assistants to revolutionizing healthcare diagnostics, its applications are boundless. With our expertly crafted course, you'll embark on a journey that will demystify the complexities of Machine Learning and empower you to leverage its capabilities for diverse purposes. 💡 Why Machine Learning? In today's data-driven world, organizations across industries are seeking professionals who can extract actionable insights from vast amounts of data. Machine Learning offers the tools and techniques necessary to analyze complex datasets, identify patterns, and make predictions with unprecedented accuracy. By mastering Machine Learning, you'll gain a competitive edge in the job market and position yourself as a valuable asset to any organization. 📈 What You'll Learn: Our Machine Learning course covers a wide array of topics, including: Fundamentals of Machine Learning algorithms Supervised, unsupervised, and reinforcement learning techniques Data preprocessing and feature engineering Model evaluation and validation Deep learning and neural networks Practical applications and case studies With hands-on projects and real-world examples, you'll not only understand the theory behind Machine Learning but also gain practical experience in implementing algorithms and solving complex problems. Whether you're a beginner or an experienced data professional, our course is tailored to accommodate learners of all levels. 📊 Who is this for? Our Machine Learning course is ideal for: Aspiring data scientists and analysts Software engineers looking to transition into Machine Learning roles Business professionals seeking to leverage data for strategic decision-making Students and academics interested in exploring the forefront of technology No matter your background or experience level, our course provides a solid foundation in Machine Learning principles and techniques, setting you on the path to success in this rapidly evolving field. 🌟 Career Path: By mastering Machine Learning, you'll open doors to a myriad of exciting career opportunities, including: Data Scientist Machine Learning Engineer AI Researcher Business Intelligence Analyst Data Engineer With the demand for Machine Learning professionals on the rise, employers are actively seeking individuals with the skills and expertise to drive innovation and deliver impactful solutions. Whether you're looking to advance your current career or embark on a new professional journey, our course will equip you with the tools and knowledge needed to thrive in today's competitive job market. 💼 FAQ: Q: Is prior programming experience required to enroll in the course? A: While prior programming experience can be beneficial, our course is designed to accommodate learners of all backgrounds. We provide comprehensive tutorials and resources to help you grasp the fundamentals of programming and get started with Machine Learning. Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace and level of commitment. On average, most learners complete the course within 3 to 6 months. However, you have the flexibility to study at your own pace and revisit materials as needed. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts can be advantageous. We provide supplementary materials and support to help you build the necessary foundation for success in the course. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion that validates your proficiency in Machine Learning concepts and techniques. This certificate can enhance your credentials and demonstrate your expertise to potential employers. Q: How does the course structure accommodate working professionals? A: Our course offers flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. With on-demand access to course materials and resources, you can learn at your own convenience and progress at a pace that suits your lifestyle. Don't miss out on the opportunity to unlock your full potential with our Machine Learning course! Enroll today and embark on a transformative journey that will shape the future of your career. 🌐✨ Course Curriculum Module 1_ Introduction to Machine Learning Introduction to Machine Learning 00:00 Module 2_ Linear Regression Linear Regression 00:00 Module 3_ Logistic Regression Logistic Regression 00:00 Module 4_ Decision Trees and Random Forests Decision Trees and Random Forests 00:00 Module 5_ Support Vector Machines (SVMs) Support Vector Machines (SVMs) 00:00 Module 6_ k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) 00:00 Module 7_ Naive Bayes Naive Bayes 00:00 Module 8_ Clustering Clustering 00:00 Module 9_ Dimensionality Reduction Dimensionality Reduction 00:00 Module 10_ Neural Networks Neural Networks 00:00

This one-day workshop is designed to give you an awareness of the fundamentals of Microsoft Excel and, in particular, to give you the confidence needed to efficiently create, edit and manage spreadsheets. This course will help participants: Create tables Use functions Manage rows and columns Write formulas Manage sheets Use content formats Handle larger tables Create reports and charts 1 Creating a table Creating an Excel table from scratch Wrapping text in cells Speeding up data entry using AutoFill Sorting columns 2 Inserting function Inserting function calculators Using AutoSum to sum numbers Statistical calculations AVERAGE, MAX and MIN 3 Table rows and columns Inserting and deleting rows and columns Adjusting multiple column widths and row heights Hiding and unhiding rows and columns 4 Formula writing The basics of formula writing Understanding mathematical symbols Using multiple mathematical symbols in a formula When to use brackets Troubleshooting calculation errors 5 Managing sheets Inserting, renaming, moving and deleting sheets Copying a worksheet to another file Copying a table to another sheet 6 Managing content formats Applying data formats Managing number formats Controlling formats with the Format Painter 7 Managing larger tables Applying freeze panes to lock tables when scrolling Sorting on multiple columns Using filters to extract table information 8 Creating and modifying charts Creating a pie chart Creating a column chart Inserting chart titles and data labels Controlling chart formatting Changing chart types 9 Printing Previewing and printing tables and charts Modifying page orientation Adjusting print margins Printing a selection 10 Calculating with absolute reference The difference between a relative and absolute formula Changing a relative formula to an absolute Using $ signs to lock cells when copying formulas 11 Pivot tables Create a pivot table report Insert a pivot chart into a report

Most people only use a fraction of Excel's capabilities. This workshop shows what you've been missing! This course will help participants: Nest formulas Get the most from pivot tables Use conditional formatting Write array formulas Explore the lookup functions Calculate by criteria Use 'goal seek' and 'scenario manager' for what-if analysis Record macros 1 Nesting formulas Principles of nesting formulas together Using IF with AND or OR to answer questions Nesting an AND function in an IF Nesting an OR function in an IF 2 Advanced pivot table reports Grouping dates, numerical and text items Running percentage analyse Running analyses to compare data Inserting Field calculations Finishing off with a user-friendly dashboard 3 Advanced conditional formatting Colour table rows based on criteria in it Applying colour to approaching dates Exploring the different rule types 4 Lookup functions Going beyond the VLOOKUP function Lookups that retrieve data from left or right The versatile INDEX and MATCH functions Retrieving data from columns with duplicates 5 Calculate by criteria Using SUMIFS to sum by criteria Finding an average by criteria with AVERAGEIFS Use SUMPRODUCT to multiply then add different values 6 What-if analysis Use Goal Seek to meet targets Forecast reports with the Scenario Manager 7 Recording Macros Macro security Understanding a Relative References macro Recording, running and editing macros Saving files as Macro Enabled Workbooks Introduction to VBA code Making macros available across workbooks Add a macro button to the Quick Access toolbar

This one-day course focuses on issues such as writing formulas and accessing help while writing them, and taking formulas to the next level by nesting one inside another for a powerful formula result. It also looks at ways of analysing data with reports, summarised by varying criteria. A range of time-saving tips and tricks are shared. This course will help participants: Calculate with absolute reference Group worksheets Link to tables Use the function library effectively Get to grips with the logical IF function Use conditional formatting Create pivot table reports Use data validation Master the VLOOKUP function 1 Calculating with absolute reference The difference between a relative and absolute formula Changing a relative formula to an absolute Using $ signs to lock cells when copying formulas 2 Grouping worksheets Grouping sheets together Inputting data into multiple sheets Writing a 3D formula to sum tables across sheets 3 Linking to tables Linking to a source table Using paste link to link a table to another file Using edit links to manage linked tables 4 The function library Benefits of writing formulas in the function library Finding the right formula using insert function Outputting statistics with COUNTA and COUNTBLANK Counting criteria in a list with COUNTIFS 5 Logical IF Function Outputting results from tests Running multiple tests for multiple results The concept of outputting results from numbers 6 Conditional formatting Enabling text and numbers to standout Applying colour to data using rules Managing rules Copying rules with the format painter 7 View side by side Comparing two Excel tables together Comparing two sheets together in the same file 8 Pivot table reports Analysing data with pivot tables Managing a pivot table's layout Outputting statistical reports Controlling number formats Visualising reports with pivot charts Inserting slicers for filtering data 9 Data validation Restricting data input with data validation Speeding up data entry with data validation 10 VLOOKUP function Best practices for writing a VLOOKUP A false type lookup A true type lookup Enhance formula results with IFNA 11 Print options Getting the most from print Printing page titles across pages Scaling content for print

Duration 3.5 Days 21 CPD hours This course is intended for Intermediate Users of Office 365 and Excel Overview Creating Advanced Formulas Analyzing Data with Logical and Lookup Functions Organizing Worksheet Data with Tables Visualizing Data with Charts Analyzing Data with PivotTables, Slicers, and PivotCharts Inserting Graphics Enhancing Workbooks This course builds upon the foundational Microsoft Office Excel 2016, you create advanced workbooks and worksheets using advanced formulas and organizing your data into tables. Excel Intermediate Learn how to navigate Pivot Tables, (for example, Create a Pivot Table/ add data/ Add calculations); Formulas, Data organization (for example, multiple worksheets) Excel Advanced Data Analysis (for example, sparklines) , Macros (making changes to macros) and Building A Fast Dashboard (PivotCharts, slicers, etc.) Office 365 Training Getting More with OneDrive Office 365 Training When is a Team a Team? Includes Using Video with Audio, Exploring Teams/Navigating among Teams etc.

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Description: This Microsoft Excel 2016 PowerPivot takes a look at the free PowerPivot add-in for Microsoft Excel 2016. It is a program for all users of PowerPivot to get a good grasp of how its features are set and how it works. It covers interface features, techniques for manipulating PowerPivot data. You will learn how to create PowerPivot reports, the structure of DAX functions, and ways to distribute PowerPivot data. So, if you are interested to develop your skills and knowledge, you shouldn't be late to join this course. Learning Outcomes: Explore PowerPivot applications Importing data from different sources Creating linked tables Organizing and formatting tables Creating calculated columns PowerPivot data filtering and sorting Creating PivotTables and PivotCharts, and filtering data using slicers Presenting Visual data through visual outlets Utilizing DAX functions for manipulating PowerPivot data Extracting data from tables using functions, and working with time dependent data Saving data in different formats and protecting reports Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Microsoft Excel 2016 PowerPivot is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Microsoft Excel 2016 PowerPivot is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Microsoft Excel 2016 PowerPivot Enable and Navigate 00:30:00 Import Data from Various Data Sources 01:00:00 Refresh Data from a Data Source 00:30:00 Create Linked Tables 00:30:00 Organize and Format Tables 00:30:00 Create Calculated Columns 00:30:00 Sort and Filter PowerPivot Data 00:30:00 Create and Manage Table Relationships 01:00:00 Create PivotTables 01:00:00 Create PivotCharts 00:30:00 Create Power Views 01:00:00 Filter Data Using Slicers 00:30:00 Present PivotTable Data Visually 01:00:00 Manipulate PowerPivot Data Using DAX Functions 01:00:00 Extract Data from Tables Using Functions 00:30:00 Save Reports in Different File Formats 01:00:00 Work with Time Dependent Data 00:30:00 Protect Reports 00:30:00 Activities and Exercise Files - Microsoft Excel 2016 PowerPivot 00:00:00 Mock Exam Mock Exam- Microsoft Excel 2016 PowerPivot 00:20:00 Final Exam Final Exam- Microsoft Excel 2016 PowerPivot 00:20:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00