In the digital age, the demand for data entry roles has skyrocketed, offering opportunities for individuals to embark on a flexible career path. Whether you're in the heart of London or nestled in the serene countryside, data entry jobs from home in the UK have become a sought-after option for many. Our 'Data Entry Administrator at QLS Level 3' course is designed to equip you with the skills needed to excel in remote data entry jobs. Dive deep into the world of Microsoft Office Excel 2016, from the basics of worksheet modifications to mastering workbook management. By the end of this course, you'll be well-versed in making tasks a breeze, ensuring you stand out in the competitive job market. So, what are you waiting for enroll into our course now and prepare yourself for data entry jobs now! Learning Outcomes: Understand the nuances of data entry and the tools that simplify the process. Acquire proficiency in using Microsoft Office Excel 2016, from its foundational aspects to advanced features. Develop the ability to perform accurate calculations and modify worksheets effectively. Master the art of formatting worksheets to present data in a clear and professional manner. Gain expertise in printing and managing workbooks efficiently. Why buy this Data Entry Administrator at QLS Level 3 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Data Entry Administrator at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience Who is this Data Entry Administrator at QLS Level 3 course for? Individuals keen on pursuing data entry jobs from home in the UK. Those looking to transition into remote data entry roles. Professionals aiming to enhance their proficiency in Microsoft Excel 2016. Job seekers wanting to add a valuable skill to their CV. Anyone interested in mastering the art of efficient data management. Career path Data Entry Clerk: Average salary range: £18,000 - £22,000 Annually Excel Specialist: Average salary range: £25,000 - £30,000 Annually Worksheet Formatter: Average salary range: £21,000 - £26,000 Annually Data Analyst: Average salary range: £30,000 - £40,000 Annually Workbook Manager: Average salary range: £28,000 - £34,000 Annually Office Administrator: Average salary range: £20,000 - £25,000 Annually Prerequisites This Data Entry Administrator at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Entry Administrator at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Making Data Entry Jobs Easier Introduction to Data Entry 00:20:00 Using the Computer for Data Entry 00:15:00 Common Rules and Guidelines for Data Entry 00:30:00 Using Excel for Efficient Data Entry 00:30:00 Using Excel's Flash Fill and Autofill to Automate Data Entry 00:30:00 How to Create a Data Entry Form in Excel? 00:45:00 Using Statistics Packages in Data Entry 00:45:00 Getting Started with Microsoft Office Excel 2016 Navigate the Excel User Interface 00:28:00 Use Excel Commands 00:10:00 Create and Save a Basic Workbook 00:19:00 Enter Cell Data 00:12:00 Use Excel Help 00:05:00 Performing Calculations Create Worksheet Formulas 00:15:00 Insert Functions 00:17:00 Reuse Formulas and Functions 00:17:00 Modifying a Worksheet 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 Formatting a Worksheet Apply Text Formats 00:16:00 Apply Number Format 00:08:00 Align Cell Contents 00:09:00 Apply Styles and Themes 00:12:00 Apply Basic Conditional Formatting 00:11:00 Create and Use Templates 00:08:00 Printing Workbooks Preview and Print a Workbook 00:10:00 Set Up the Page Layout 00:09:00 Configure Headers and Footers 00:07:00 Managing Workbooks Manage Worksheets 00:05:00 Manage Workbook and Worksheet Views 00:07:00 Manage Workbook Properties 00:06:00 Assignment Assignment - Data Entry Administrator at QLS Level 3 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00
Enhance your receptionist skills with this comprehensive diploma course. Delve into various modules covering essential aspects of reception and office management. Learn business telephone etiquette, travel arrangement skills, time management, and effective communication. Acquire advanced MS Excel proficiency for data management. From customer service to business writing, this course equips you with the knowledge and skills needed to excel as a receptionist. Learning Outcomes: Master essential receptionist duties and etiquette. Develop effective business telephone skills. Learn to represent your employer and company professionally. Gain proficiency in mail services, shipping, and travel arrangements. Enhance time management and organizational skills. Strengthen communication and customer service abilities. Acquire proficiency in Microsoft Excel, from text and mathematical formulas to advanced functions. Learn Power Query and Excel keyboard shortcuts for efficient data management. Why buy this Receptionist Diploma? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Receptionist Diploma you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Receptionist Diploma course is ideal for Aspiring receptionists seeking comprehensive training. Office professionals looking to enhance their skills. Individuals aiming to excel in administrative roles. Those interested in improving their Microsoft Excel proficiency. Prerequisites This Receptionist Diploma was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Receptionist - Average Salary: £18,000 - £25,000 per year. Administrative Assistant - Average Salary: £18,000 - £25,000 per year. Office Coordinator - Average Salary: £20,000 - £28,000 per year. Customer Service Representative - Average Salary: £18,000 - £25,000 per year. Data Entry Clerk - Average Salary: £18,000 - £25,000 per year. Course Curriculum Receptionist Diploma Module 1: Introduction to Reception and Receptionist 00:11:00 Module 2: Business Telephone Skills 00:19:00 Module 3: Representing Your Boss and Company 00:34:00 Module 4: Mail Services and Shipping 00:25:00 Module 5: Travel Arrangements 00:24:00 Module 6: Organising Meeting and Conferences 00:25:00 Module 7: Time Management 00:35:00 Module 8: Record Keeping and Filing Systems 00:28:00 Module 9: Business Writing Skills 00:40:00 Module 10: Organisational Skills 00:25:00 Module 11: Communication Skills 00:25:00 Module 12: Customer Service 00:16:00 Module 13: Effective Planning and Scheduling 00:46:00 Module 14: Invoicing/Petty Cash 00:27:00 Module 15: Business Environment 00:19:00 Advanced MS Excel How to Get the most of the course 00:01:00 Text formulas in Excel 00:08:00 Text Formulas Exercise 00:01:00 Text Formulas Exercise (answers) 00:01:00 Mathematical Formulas In Excel 00:04:00 Mathematical Formulas Exercise 00:01:00 Mathematical Formulas Exercise (answers) 00:01:00 Date and Time Formulas In Excel 00:06:00 Date and Time Formulas Exercise 00:01:00 Date and Time Exercise Formulas (answers) 00:01:00 Logic Formulas In Excel 00:12:00 Logic Formula Exercise 00:01:00 Logic Formula Exercise (answers) 00:01:00 Financial Formula In Excel 00:06:00 Financial Formula Exercise 00:01:00 Financial Formula Exercise (answers) 00:02:00 Informational Formula In Excel 00:04:00 Informational Formula Exercise 00:01:00 Informational Formula Exercise (answers) 00:01:00 Getting Traffic To Your Site 01:00:00 Menu Example with Excel Vlookup 00:08:00 Wildcard Search with Excel Vlookup 00:09:00 Looking to the Left with Excel Vlookup 00:17:00 2-Way Lookup 00:14:00 Comparing Lists with Excel Vlookup 00:03:00 Microsoft Excel Vlookup Tips and Tricks 00:14:00 Power Query Intro and Excel version 00:03:00 Excel Power Query - Introduction 00:03:00 Enabling M in Power Query 00:02:00 Transform Data - Trim in Excel Power Query 00:05:00 Transform Data - Format Dates and Values in Excel Power Query 00:02:00 Simple Expressions 00:08:00 Simple Expressions - Nested Expressions 00:03:00 Transform Data - Parsing URLs in Excel Power Query 00:05:00 Variables 00:08:00 Formatting Excel Keyboard Shortcuts 00:02:00 Table Excel Keyboard Shortcuts 00:02:00 Editing Excel Keyboard Shortcuts 00:05:00 Formula Excel Keyboard Shortcuts 00:03:00 Workbook Excel Keyboard Shortcuts 00:02:00 Handy Excel Shortcuts Keyboard Shortcuts 00:05:00 Mock Exam Mock Exam - Office Admin and Reception 00:20:00 Final Exam Final Exam - Office Admin and Reception 00:20:00
Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Masterclass Bootstrap 5 Course - Responsive Web Design Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Masterclass Bootstrap 5 Course - Responsive Web Design Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Masterclass Bootstrap 5 Course - Responsive Web Design Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Masterclass Bootstrap 5 Course - Responsive Web Design Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Masterclass Bootstrap 5 Course - Responsive Web Design? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Masterclass Bootstrap 5 Course - Responsive Web Design there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Masterclass Bootstrap 5 Course - Responsive Web Design course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Masterclass Bootstrap 5 Course - Responsive Web Design does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Masterclass Bootstrap 5 Course - Responsive Web Design was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Masterclass Bootstrap 5 Course - Responsive Web Design is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Introduction To This Course 00:02:00 Changes From Bootstrap 4 and Bootstrap 5 00:05:00 Bootstrap 5 Browser Compatibility 00:02:00 Setup Bootstrap 5 00:08:00 Section 02: Grid System & Layout Grid System Introduction 00:05:00 All Grid Sizes 00:07:00 Single Column Width 00:05:00 Variable Width Content 00:02:00 Offsetting Columns 00:02:00 Reordering Columns 00:03:00 Column Breaks 00:02:00 Column Wrapping 00:02:00 Vertical Alignment 00:03:00 Horizontal Alignment 00:02:00 Margin Utilities 00:02:00 Multiple Rows 00:03:00 Nesting Rows and Columns 00:03:00 Gutters 00:03:00 Responsive Containers 00:03:00 Fluid Containers 00:01:00 Section 03: Components Alerts 00:14:00 Badge 00:04:00 Breadcrumb 00:03:00 Buttons 00:11:00 Button Group 00:06:00 Card 00:06:00 Card Masonry Layout 00:04:00 Carousel 00:13:00 Close Button 00:02:00 Collapse 00:05:00 Collapse Accordion Style 00:10:00 Dropdowns 00:10:00 List Group 00:05:00 Modal 00:09:00 Navs 00:05:00 Navbar 00:15:00 Pagination 00:05:00 Popovers 00:06:00 Progress 00:04:00 Scrollspy 00:14:00 Spinners 00:05:00 Toasts 00:10:00 Tooltips 00:04:00 Section 04: Forms Form Control 00:07:00 Select 00:03:00 Checks 00:08:00 File 00:03:00 Range 00:04:00 Input Groups 00:04:00 Layout 00:05:00 Validation 00:08:00 Section 05: Helpers Clearfix 00:04:00 Colored Links 00:02:00 Embed 00:03:00 Position 00:05:00 Screen Readers 00:03:00 Stretched Link 00:02:00 Text Truncation 00:03:00 Section 06: Utilities Borders 00:02:00 Colors 00:03:00 Display Property 00:04:00 Flex 00:03:00 Float 00:03:00 Interactions 00:04:00 Overflow 00:03:00 Position 00:04:00 Shadows 00:02:00 Sizing 00:03:00 Spacing 00:04:00 Text 00:10:00 Vertical align 00:03:00 Visibility 00:02:00 Section 07: Extras Typography 00:04:00 Tables 00:06:00 Images 00:04:00 Figures 00:02:00 Section 08: Resource Resource 00:00:00 Assignment Assignment - Masterclass Bootstrap 5 Course - Responsive Web Design 00:00:00
Overview Learn how to become an exemplary Receptionist and positively represent your company when interacting with all clients and customers. Every business needs an efficient administrator to manage the Front-Office, along with providing support and assistance to their boss. We can coach you to become an excellent Receptionist and gain all the required business skills that you'll need to succeed, and the confidence with which to use them. Description The course has been compiled by industry experts and provides an overview of the responsibilities of a valued Receptionist. You will be tutored in a wide range of administrative practises, so that you can immediately start to use them in the office. It also includes training in customer-facing etiquette and suggestions on how to positively improve your company's reputation with clients. Various other crucial office aptitudes will be covered, such as; Time Management, Travel Arrangement, Record Keeping, and Business Writing. Make sure you present the efficiency of your company by enrolling now. Learning outcomes: Understand the basic requirements needed to run receptions areas efficiently Gain the all-round skills to be a first-class Receptionist Learn how to represent your boss and company in reception Be skilled in organising travel and arranging executive meetings for others Attain the ability to file and retrieve essential company records Acquire the skills to apply excellent communicate practises at work Display great customer service for clients and colleagues Be trusted to handle internal finances and petty cash funding Why People Love And Enrol In The Receptionist Skills From Studyhub: Instantly accessible CPD-accredited certificate on successful completion of this Receptionist Skills 24/7 access to the course for 12 months Study at your own pace No hidden fees or exam charges Full Tutor support on weekdays (Monday - Friday) Efficient assessment and instant results Method of Assessment To assess your learning, you have to participate in an automated multiple-choice question exam. You have to score at least 60% to pass the exam and to qualify for CPD accredited certificates. After passing the exam, you will be able to apply for a certificate. To enhance your knowledge regarding the course and to further assess your learning, you are advised to complete the assignment questions provided at the end of the course, which you can complete anytime you wish. After submitting the assignment, our expert tutor will assess your assignment and will give you feedback on your performance. Certification After completing the MCQ assessment, you will qualify for the CPD Certificate from Studyhub, as proof of your continued professional development. Certification is available in PDF format, for £9, or a hard copy can be sent to you via post, for just £15. Who is This course for? This course is primarily designed to provide coaching and training for those individuals who aspire to work as Receptionists or a similar role such as a Secretary or PA. Requirements There are no specific prerequisites to enrol in this Receptionist Skills. Anyone and everyone can take this course. The Receptionist Skills is fully accessible from any internet-enabled smart device. So, you can study from the comfort of your home! All you need is a passion for learning, literacy, and to be over the age of 16. Career Path This course provides training and a comprehensive overview of all the skills and knowledge that are needed by a Receptionist or a similar administrative role. As such, it will cover the following roles and careers: Receptionist Administrative Manager Personal Assistant Private Secretary Human Resources staff Course Curriculum Office Admin and Reception Module 1: Introduction to Reception and Receptionist 00:11:00 Module 2: Business Telephone Skills 00:19:00 Module 3: Representing Your Boss and Company 00:34:00 Module 4: Mail Services and Shipping 00:25:00 Module 5: Travel Arrangements 00:24:00 Module 6: Organising Meeting and Conferences 00:25:00 Module 7: Time Management 00:35:00 Module 8: Record Keeping and Filing Systems 00:28:00 Module 9: Business Writing Skills 00:40:00 Module 10: Organisational Skills 00:25:00 Module 11: Communication Skills 00:25:00 Module 12: Customer Service 00:16:00 Module 13: Effective Planning and Scheduling 00:46:00 Module 14: Invoicing/Petty Cash 00:27:00 Module 15: Business Environment 00:19:00 Advanced MS Excel How to Get the most of the course 00:01:00 Text formulas in Excel 00:08:00 Text Formulas Exercise 00:01:00 Text Formulas Exercise (answers) 00:01:00 Mathematical Formulas In Excel 00:04:00 Mathematical Formulas Exercise 00:01:00 Mathematical Formulas Exercise (answers) 00:01:00 Date and Time Formulas In Excel 00:06:00 Date and Time Formulas Exercise 00:01:00 Date and Time Exercise Formulas (answers) 00:01:00 Logic Formulas In Excel 00:12:00 Logic Formula Exercise 00:01:00 Logic Formula Exercise (answers) 00:01:00 Financial Formula In Excel 00:06:00 Financial Formula Exercise 00:01:00 Financial Formula Exercise (answers) 00:02:00 Informational Formula In Excel 00:04:00 Informational Formula Exercise 00:01:00 Informational Formula Exercise (answers) 00:01:00 Getting Traffic To Your Site 01:00:00 Menu Example with Excel Vlookup 00:08:00 Wildcard Search with Excel Vlookup 00:09:00 Looking to the Left with Excel Vlookup 00:17:00 2-Way Lookup 00:14:00 Comparing Lists with Excel Vlookup 00:03:00 Microsoft Excel Vlookup Tips and Tricks 00:14:00 Power Query Intro and Excel version 00:03:00 Excel Power Query - Introduction 00:03:00 Enabling M in Power Query 00:02:00 Transform Data - Trim in Excel Power Query 00:05:00 Transform Data - Format Dates and Values in Excel Power Query 00:02:00 Simple Expressions 00:08:00 Simple Expressions - Nested Expressions 00:03:00 Transform Data - Parsing URLs in Excel Power Query 00:05:00 Variables 00:08:00 Formatting Excel Keyboard Shortcuts 00:02:00 Table Excel Keyboard Shortcuts 00:02:00 Editing Excel Keyboard Shortcuts 00:05:00 Formula Excel Keyboard Shortcuts 00:03:00 Workbook Excel Keyboard Shortcuts 00:02:00 Handy Excel Shortcuts Keyboard Shortcuts 00:05:00 Mock Exam Mock Exam - Office Admin and Reception 00:20:00 Final Exam Final Exam - Office Admin and Reception 00:20:00
Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00
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Course Curriculum Unit 01: Excel from A-Z Course Introduction Excel from A-Z Course Intro 00:03:00 Excel Job Opportunities 00:03:00 Excel Job Types 00:04:00 Microsoft Excel Marketplace 00:04:00 What is Microsoft Excel? 00:04:00 Who is This Course For? 00:03:00 Unit 02: Getting Started With Excel Finding & Opening Excel 00:01:00 Excel's Start Screen 00:03:00 Explaining the Excel Interface 00:03:00 Excel Interface Continued 00:01:00 Excel Workbook vs. Excel Worksheet 00:02:00 Saving an Excel Document 00:04:00 Customizing the Quick Access Toolbar 00:02:00 Customizing the Excel Ribbon 00:03:00 Excel Shortcut Keys 00:02:00 Unit 03: Values, Referencing and Formulas Creating Excel Labels 00:03:00 Entering Numeric Values in Excel 00:03:00 Formatting Date Values in Excel 00:05:00 Building Basic Formulas in Excel 00:05:00 Order of Operations 00:06:00 Relative vs. Absolute Cell References 00:07:00 Unit 04: Intro to Excel Functions Excel Functions Explained 00:03:00 The SUM() Function 00:08:00 The MIN() & MAX() Function 00:04:00 The AVERAGE() Function 00:02:00 COUNT() Functions 00:05:00 Unit 05: Adjusting Excel Worksheets Moving & Copying Data 00:07:00 Insert & Delete Rows and Columns 00:05:00 Adjusting the Width and Height of Cells 00:05:00 Hiding and Unhiding Excel Rows and Columns 00:04:00 Renaming, Moving & Deleting Excel Worksheets 00:05:00 Adding Protection to Specific Cells 00:04:00 Protecting the Structure of a Workbook 00:02:00 Adding a Workbook Password to Open File 00:02:00 Unit 06: Visually Pleasing Cell Formatting Formatting Fonts and Cell Background Color 00:05:00 Adding Cell Borders 00:05:00 Formatting Data Appropriately 00:05:00 The Magic behind Excel's Format Painter 00:03:00 Creating Styles for Formatting Efficiency 00:06:00 Merging Cells for a Cleaner Look 00:03:00 The Power of Conditional Formatting 00:06:00 Unit 07: How to Insert Images and Shapes! Grab User's Attention using Illustrations 00:09:00 Customizing Icons 00:05:00 Create Compelling Graphics with SmartArt 00:06:00 Unit 08: Visualize Data with Charts The Commonly Used Column Chart 00:03:00 Changing the Chart Design.mp4 00:02:00 Formatting Elements of a Chart 00:06:00 Modifying the Data, Type & Location of a Chart 00:06:00 Unit 09: Excel's Printing Options Print Preview Options 00:04:00 Excel's Page Layout View 00:07:00 Printing a Specific Range of Cells 00:03:00 Converting Spreadsheets to PDF Files 00:02:00 Unit 10: Benefits of Using Excel Templates Why Create an Excel Template 00:01:00 How to Create an Excel Template 00:05:00 Unit 11: Working with Excel Datasets How to Prepare Data for Analysis 00:04:00 How to Sort Data in Excel 00:03:00 Multi-Level Sorting 00:03:00 Custom Sorting Datasets in Excel 00:02:00 Applying Filters to Datasets 00:05:00 Creating Subtotals within a Dataset 00:06:00 Converting Datasets into Tables 00:06:00 Little Slice of Pie Charts 00:05:00 Finding & Removing Duplicate Values 00:07:00 Unit 12: Excel Database Functions The SUMIF() Function 00:09:00 The DSUM() Function 00:08:00 The DSUM() Function Cont. 00:07:00 The SUBTOTAL() Function 00:06:00 Unit 13: Excel Data Validation What is Excel Data Validation? 00:02:00 Creating a Drop Down List with Data Validation 00:07:00 Different Types of Excel Data Validation 00:06:00 Adding Custom Alerts to Data Validation 00:07:00 Creating a Dynamic Drop Down List 00:03:00 Complex Validation: Dependent Drop Down List! 00:09:00 Unit 14: Excel PivotTables Creating an Excel Pivot Table 00:06:00 Modifying Excel PivotTables 00:06:00 Grouping & Filtering PivotTable Data 00:06:00 Drilling Down into PivotTable Data 00:02:00 Creating Pivot Charts & Utilizing Slicers 00:08:00 Unit 15: Excel's PowerPivot Add-In What is PowerPivot? 00:04:00 Activating the Excel PowerPivot Add-In 00:02:00 Creating Relationships between Data Tables.mp4 00:06:00 Using Data Models to Create PivotTables 00:05:00 How to Create PowerPivot KPI's 00:08:00 Unit 16: Excel's Conditional Functions Excels IF Function 00:05:00 IF() Function with AND() Criteria 00:05:00 IF() Function with OR() Criteria 00:05:00 Nesting Multiple IF() Functions 00:07:00 The COUNTIF() Function 00:04:00 Key Benefits of Named Ranges 00:04:00 Unit 17: Excel's Lookup Function VLOOKUP() Function 00:09:00 The Beauty of Excel's IFERROR() Function 00:04:00 HLOOKUP() Function 00:06:00 The INDEX Function 00:05:00 MATCH() Function 00:05:00 INDEX() and MATCH() Combined 00:05:00 Two-Way Lookup with INDEX() and MATCH() 00:04:00 Unit 18: Text Based Functions in Excel LEFT(), RIGHT() and MID() Function 00:07:00 Extracting Specific Text using LEN() & SEARCH() 00:13:00 Combining Text with CONCATENATE() 00:06:00 Quick Tips & Other Text Based Functions 00:06:00 Unit 19: Auditing Formulas and Views in Excel Tracing Precedents & Dependents in Formulas 00:04:00 Showing Formulas 00:02:00 Grouping Data 00:03:00 3D Referencing in Formulas 00:05:00 Utilizing the Watch Window in Excel 00:03:00 How to Freeze Panes in Excel 00:03:00 Unit 20: Excel's 'what If?' Tools Excel's Scenario Manager Tool 00:06:00 Goal Seek in Excel 00:06:00 Compare Results with Excel Data Tables 00:04:00 Solver Tool 00:11:00 Unit 21: Welcome to Excel VBA The Power Behind Excel VBA 00:03:00 A Look Inside the Visual Basic Editor (VBE) 00:04:00 Recording a Macro 00:09:00 Saving & Opening a Macro-Enabled Workbook 00:02:00 Unit 22: The VBA Language Modules and Procedures 00:07:00 Objects, Methods and Properties 00:06:00 Excel VBA Variables 00:05:00 Unit 23: Writing VBA Code Referencing a Range 00:13:00 InputBox & MsgBox 00:06:00 Using Variables in VBA Code 00:05:00 If Then Else Statement 00:10:00 Worksheet Functions inside VBA 00:08:00 Creating User Defined Functions 00:09:00 User Defined Functions within VBA Scripts 00:06:00 Unit 24: Important VBA Tools and Logic Find Last Row of Data 00:06:00 Find Last Column of Data 00:03:00 With Statement 00:05:00 Debugging & Error Handling 00:07:00 Debugging & Error Handling Cont. 00:07:00 Unit 25: Excel VBA Loop For Next Loop 00:09:00 Do Until Loop 00:06:00 For Each Loop 00:04:00 Unit 26: Triggering Macros Assigning Macros to Shapes 00:04:00 Form Controls vs ActiveX Controls 00:08:00 Worksheet Events 00:04:00 Workbook Events 00:03:00 Fun with VBA Events! 00:07:00 Unit 27: Excel User Forms Creating an Excel UserForm 00:03:00 Adding Controls to UserForms 00:10:00 How to Show an UserForm 00:03:00 Passing TextBox Values to Desired Cells 00:07:00 Passing Option Buttons to Desired Cells 00:07:00 UserForm ComboBoxes 00:08:00 Clearing Values from UserForm Controls 00:03:00 How to Close an UserForm 00:02:00 UserForms and Protected Sheets 00:05:00 Unit 28: Starting a Career in Excel Creating an Excel Resume 00:05:00 Getting Started with Freelancing 00:06:00 How to Become an Excel Freelancer 00:05:00 Top Freelance Websites 00:05:00 How to Get Your First Client 00:08:00 Personal Branding 00:07:00 Networking Do's and Don'ts 00:04:00 Importance of Having a Website 00:04:00 Resources Resources - Microsoft Excel 00:00:00
Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts
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