3722 Office Skills courses in Farnworth delivered Online

Overview This comprehensive course on Data Center Training Essentials: General Introduction will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Center Training Essentials: General Introduction comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Center Training Essentials: General Introduction. It is available to all students, of all academic backgrounds. Requirements Our Data Center Training Essentials: General Introduction is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 7 lectures • 02:41:00 total length •Module 01: Data Center Introduction: 00:37:00 •Module 02: Data Center Reliability: 00:23:00 •Module 03: Data Center Equipment: 00:24:00 •Module 04: Data Center White Space: 00:24:00 •Module 05: Data Center Support Spaces: 00:27:00 •Module 06: Data Center Security, Safety, Networks and IT: 00:26:00 •Assignment - Data Center Training Essentials: General Introduction: 00:00:00

Overview This comprehensive course on Data Analysis and Forecasting in Excel will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Analysis and Forecasting in Excel comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Analysis and Forecasting in Excel. It is available to all students, of all academic backgrounds. Requirements Our Data Analysis and Forecasting in Excel is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 10 sections • 31 lectures • 04:43:00 total length •Insert, Delete, and Adjust Cells, Columns, and Rows: 00:10:00 •Search for and Replace Data: 00:09:00 •Use Proofing and Research Tools: 00:07:00 •Sort Data: 00:10:00 •Filter Data: 00:10:00 •Query Data with Database Functions: 00:09:00 •Outline and Subtotal Data: 00:09:00 •Apply Intermediate Conditional Formatting: 00:07:00 •Apply Advanced Conditional Formatting: 00:05:00 •Create Charts: 00:13:00 •Modify and Format Charts: 00:12:00 •Use Advanced Chart Features: 00:12:00 •Create a PivotTable: 00:13:00 •Analyze PivotTable Data: 00:12:00 •Present Data with PivotCharts: 00:07:00 •Filter Data by Using Timelines and Slicers: 00:11:00 •Use Links and External References: 00:12:00 •Use 3-D References: 00:06:00 •Consolidate Data: 00:05:00 •Use Lookup Functions: 00:12:00 •Trace Cells: 00:09:00 •Watch and Evaluate Formulas: 00:08:00 •Apply Data Validation: 00:13:00 •Search for Invalid Data and Formulas with Errors: 00:04:00 •Work with Macros: 00:18:00 •Create Sparklines: 00:07:00 •MapData: 00:07:00 •Determine Potential Outcomes Using Data Tables: 00:08:00 •Determine Potential Outcomes Using Scenarios: 00:09:00 •Use the Goal Seek Feature: 00:04:00 •Forecasting Data Trends: 00:05:00

Overview This comprehensive course on Data Entry Administrator will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Entry Administrator comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Entry Administrator . It is available to all students, of all academic backgrounds. Requirements Our Data Entry Administrator is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 1 sections • 7 lectures • 01:44:00 total length •Introduction to Data Entry: 00:08:00 •Using the Computer for Data Entry: 00:08:00 •Common Rules and Guidelines for Data Entry: 00:16:00 •Using Excel for Efficient Data Entry: 00:10:00 •Using Excel's Flash Fill and Autofill to Automate Data Entry: 00:13:00 •How to Create a Data Entry Form in Excel?: 00:33:00 •Using Statistics Packages in Data Entry: 00:16:00

Overview This comprehensive course on Data Center Training Essentials: Mechanical & Cooling will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Center Training Essentials: Mechanical & Cooling comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Center Training Essentials: Mechanical & Cooling. It is available to all students, of all academic backgrounds. Requirements Our Data Center Training Essentials: Mechanical & Cooling is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 6 lectures • 04:50:00 total length •Module 01:Data Center Mechanical Introduction: 01:01:00 •Module 02: Data Center Air Cooling: 00:51:00 •Module 03: Data Center Computational Fluid Dynamics: 01:02:00 •Module 04: Data Center Water Cooling: 00:53:00 •Module 05: Data Center Water Systems Operation: 01:03:00 •Assignment - Data Center Training Essentials: Mechanical & Cooling: 00:00:00

Overview This comprehensive course on Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Machine Learning with Python comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 4 sections • 21 lectures • 01:34:00 total length •Introduction to types of ML algorithm: 00:02:00 •SVM - Python Implementation: 00:06:00 •Introduction to types of ML algorithm: 00:02:00 •Importing a dataset in python: 00:02:00 •Resolving Missing Values: 00:06:00 •Managing Category Variables: 00:04:00 •Training and Testing Datasets: 00:07:00 •Normalizing Variables: 00:02:00 •Normalizing Variables - Python Code: 00:03:00 •Summary: 00:01:00 •Simple Linear Regression - How it works?: 00:04:00 •Simple Linear Regreesion - Python Implementation: 00:07:00 •Multiple Linear Regression - How it works?: 00:01:00 •Multiple Linear Regression - Python Implementation: 00:09:00 •Decision Trees - How it works?: 00:05:00 •Random Forest - How it works?: 00:03:00 •Decision Trees and Random Forest - Python Implementation: 00:04:00 •kNN - How it works?: 00:02:00 •kNN - Python Implementation: 00:10:00 •Decision Tree Classifier and Random Forest Classifier in Python: 00:10:00 •SVM - How it works?: 00:04:00

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Are you looking for a way to boost your productivity and efficiency with Excel? Do you want to learn how to create, analyze and visualize data in powerful and versatile spreadsheets? If so, then our level 2 online Excel course is perfect for you! This course will teach you how to use advanced functions, formulas, charts, tables, pivot tables and macros in Excel. You will learn how to work with large datasets, automate tasks, perform data analysis and create professional reports and dashboards. You will also get tips and tricks to optimize your workflow and save time. The course is suitable for anyone who has some basic knowledge of Excel and wants to take their skills to the next level. You will have access to video lectures, exercises, quizzes and downloadable resources. You will

Description: This Microsoft Office 2013 Excel Intermediate - Complete Video Course covers the intermediate functions and features of Excel 2013. You will learn about creating formulas, inserting graphics and enhancing workbooks. You will also learn how to organize worksheet data with tables and charts and how to analyze data using PivotTables, Slicers and PivotCharts. In this course creating advanced formulas, you will learn how to apply range names and how to use specialized functions. Once you are comfortable with the basics, you will be ready for this intermediate level. Here, you will explore more advanced formatting with terms, using Excel provided templates, adding graphics and charts, and using Excel as a database. You finish off with advanced formulas and applying conditional formatting to your worksheet, and more. If you want to take your Microsoft Excel 2013 skills to the next level, you'll learn how to use this program's advanced features to build a fully functional database from scratch. 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 Office 2013 Excel Intermediate - Complete Video Course 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 Office 2013 Excel Intermediate - Complete Video Course 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. Creating Advanced Formulas Apply Range Names FREE 00:18:00 Use Specialized Functions 00:14:00 Analyzing Data with Logical and Lookup Functions Leverage Questions and Testing to Write Formulas 00:01:00 Use Logical and Lookup Functions to Find Answers to Questions 00:25:00 Organizing Worksheet Data with Tables Create and Modify Tables 00:09:00 Sort and Filter Data 00:27:00 Use Summary and Database Functions to Calculate Data 00:25:00 Visualizing Data with Charts Create Charts 00:05:00 Modify and Format Charts 00:25:00 Create a Trendline 00:10:00 Create Advanced Charts 00:09:00 Analyzing Data with PivotTables, Slicers, and PivotCharts Create a PivotTable 00:24:00 Filter Data by Using Slicers 00:09:00 Analyze Data by Using PivotCharts 00:07:00 Inserting Graphics Insert and Modify Graphic Objects 00:10:00 Layer and Group Graphic Objects 00:12:00 Incorporate SmartArt 00:06:00 Enhancing Workbooks Customizing Workbooks 00:08:00 Manage Themes 00:06:00 Create and Use Templates 00:06:00 Protect Files 00:08:00 Mock Exam Mock Exam- Microsoft Office 2013 Excel Intermediate - Complete Video Course 00:20:00 Final Exam Final Exam- Microsoft Office 2013 Excel Intermediate - Complete Video Course 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Duration 5 Days 30 CPD hours This course is intended for This course is intended for project team members and other key users (persons from special departments) responsible for creating and optimizing a cross location supply plan including production, procurement and distribution plans. In this course, students gain an understanding of how to create cross-location production plans, distribution resource plans, and procurement plans taking into account work center capacities, supplier capacities, and transportation capacities in SAP APO. Course Outline Overview of Supply Chain Planning in SAP SCM (APO), Integration with Demand Planning (DP) and Production Planning (PP/DS) Overview of exchanging master and transaction data with SAP ECC Master data for supply network planning, interchangeability and shelf live Configuring Supply Network Planning and interactive planning using planning books and macros Introduction to the Planner Home Page (EhP 3) Collaborative Supply Planning (supplier and manufacturer exchange data over the Internet) Integrated exception management in the alert monitor Discussions about the different planning methods: Heuristic including capacity leveling, optimization, capable-to-match, and VMI. Standard and advanced Cross-location safety stock planning Deployment: Implementing stock transport requisitions into manageable stock transport orders. Calculating and optimizing short-term replenishment plans for distribution centers and customers Transport Load Builder (TLB): Grouping stock transfers by threshold values for volumes, weight and pallets. Additional course details: Nexus Humans SCM230 SAP Supply Network Planning (APO-SNP) 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 SCM230 SAP Supply Network Planning (APO-SNP) 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 Experienced Programmers and Systems Administrators. Overview Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is ?skills-centric?, designed to train attendees in core Python and web development skills beyond an intermediate level, coupling the most current, effective techniques with best practices. Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to: ? Create working Python scripts following best practices ? Use python data types appropriately ? Read and write files with both text and binary data ? Search and replace text with regular expressions ? Get familiar with the standard library and its work-saving modules ? Use lesser-known but powerful Python data types ? Create 'real-world', professional Python applications ? Work with dates, times, and calendars ? Know when to use collections such as lists, dictionaries, and sets ? Understand Pythonic features such as comprehensions and iterators ? Write robust code using exception handling An introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features. An Overview of Python What is python? 1 -- An overview of Python What is python? Python Timeline Advantages/Disadvantages of Python Getting help with pydoc The Python Environment Starting Python Using the interpreter Running a Python script Python scripts on Unix/Windows Editors and IDEs Getting Started Using variables Built-in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Sequences About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Converting binary data with struct Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Parameters Global and local scope Nested functions Returning values Sorting The sorted() function Alternate keys Lambda functions Sorting collections Using operator.itemgetter() Reverse sorting Errors and Exception Handling Syntax errors Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages The import statement Module search path Creating Modules Using packages Function and Module aliases Classes About o-o programming Defining classes Constructors Methods Instance data Properties Class methods and data Regular Expressions RE syntax overview RE Objects Searching and matching Compilation flags Groups and special groups Replacing text Splitting strings The standard library The sys module Launching external programs Math functions Random numbers The string module Reading CSV data Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Working with the file system Paths, directories, and filenames Checking for existence Permissions and other file attributes Walking directory trees Creating filters with fileinput Using shutil for file operations 17 ? Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network services Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Parsing command-line options Detecting the current platform Trapping signals Implementing logging Python Timeline Advantages/Disadvantages of Python Getting help with pydoc