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Learn Vue.js through a practical, project-based approach, along with understanding how to use the Vue CLI and Firebase storage

Master Go programming with an in-depth course covering advanced topics such as authentication, authorization, JWT tokens, and refresh tokens. Learn how to write reliable code with effective unit testing techniques, while exploring concepts such as logging, error handling, and modularization. Build secure and scalable web applications with Go to take your coding expertise to the next level.

If you are working on data science projects and want to create powerful visualization and insights as an outcome of your projects or are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you. This course exclusively focuses on explaining how to build fantastic visualizations using Python. It covers more than 20 types of visualizations using the most popular Python visualization libraries, such as Matplotlib, Seaborn, and Bokeh along with data analytics that leads to building these visualizations so that the learners understand the flow of analysis to insights.

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

Course Overview Learn iOS 11 app development from A-Z, and build professional apps for your business from scratch. The iOS 11 and Swift 4: Beginner to Paid Professional training course is a complete guide to coding in Swift 4, ideal for aspiring iOS app developers. It will equip you with the skills to create a fully functional iOS 11 app for iPhone or iPad, through step-by-step audiovisual training. It provides practical, hands-on training for absolute beginners. You will learn how to make a Slack clone, gain an in-depth understanding of object-oriented Programming (OOP), understand the principles of full stack development, and much more. This course includes Full ARKit and CoreML Modules, to ensure you get the best out of your learning experience. No previous knowledge of programming is required for enrolment, with the option to study on a part-time or full-time basis. This best selling iOS 11 and Swift 4: Beginner to Paid Professional has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth iOS 11 and Swift 4: Beginner to Paid Professional is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The iOS 11 and Swift 4: Beginner to Paid Professional is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The iOS 11 and Swift 4: Beginner to Paid Professional is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the iOS 11 and Swift 4: Beginner to Paid Professional, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the iOS 11 and Swift 4: Beginner to Paid Professional will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the iOS 11 and Swift 4: Beginner to Paid Professional to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

[vc_row][vc_column][vc_column_text]Spanish is one of the most widely spoken languages in the world. Moreover, it's one of the best languages to learn for travel and employment opportunities. Master Spanish by taking this course. This Complete Spanish Course - Beginner course will provide you with a comprehensive introduction to the Spanish language. It has different chapters, and each chapter will give you a new level of understanding of the language. You'll learn about Spanish alphabets, numbers, and tenses. You'll learn how to improve your pronunciation of words. We will also guide you through everyday topics and basic sentence structures. As a result, you can engage in basic conversations with native speakers.  Learning outcomes Improve your Spanish vocabulary Familiarise yourself with the Spanish alphabets and numbers Enhance your pronunciation of words Improve your Spanish grammar skills Learn about the gender rules in Spanish Enrich your knowledge of Spanish tenses Know the common conversational topics to speak with native speakers Who is this course for Anyone interested in learning Spanish can take this Complete Spanish Course - Beginner Course.  The knowledge you gain from the course will make you more employable.  Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over. Good understanding of the English language, numeracy, and ICT skills are required to take this course. Certification After you have successfully completed the course, you will obtain an Accredited Certificate of Achievement. And, you will also receive a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy for £39 or in PDF format at the cost of £24. The PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why Choose Us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos and materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; United Kingdom & internationally recognised accredited qualification; Access to course content on mobile, tablet, and desktop from anywhere, anytime; Substantial career advancement opportunities; 24/7 student support via email. Career Path The Complete Spanish Course - Beginner Course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Spanish Teacher Spanish Tutor Spanish Teaching Assistant Spanish Translator [/vc_column_text][/vc_column][/vc_row] Module 1 Spanish Course: Find out all about this course in less than two minutes 00:02:00 Spanish Course: The Alphabet. Pronunciation. Part 1 00:18:00 Spanish Course: The Alphabet. Pronunciation. Part 2 00:17:00 Spanish Course: Personal pronouns. Gender and number. Ser. Part 1 00:10:00 Spanish Course: Personal pronouns. Gender and number. Ser. Part 2. 00:14:00 Learn Spanish- Present tense. The articles. Use of the verb Tener 1 00:21:00 Use of the verb Tener 2. More numbers. Age. Vocabulary about clas 00:14:00 Learn Spanish- The hour. The times of day. Calendar. Frequency. P 00:11:00 Learn Spanish- The question and exclamation. Recap. Part 1 00:19:00 Learn Spanish- The question and exclamation. Recap. Part 2. 00:15:00 Module 2 Learn Spanish- The weather. Months and seasons. Hace and dentr 00:11:00 Learn Spanish- Present tense irregular. Vowel exchange. Part 1. 00:13:00 Learn Spanish- Present tense irregular. Vowel exchange. Part 2. 00:14:00 Learn Spanish- Present tense irregular. Irregular first person. Part 1. 00:11:00 Learn Spanish- Present tense irregular. Irregular first person. Part 2. 00:12:00 Learn Spanish- The verb Haber and the past perfect. Part 1. 00:15:00 Learn Spanish- The verb Haber and the past perfect. Part 2. 00:16:00 Learn Spanish- The verb Haber and the past perfect. Part 3. 00:09:00 Learn Spanish- Prepositions. Part 1. 00:14:00 Learn Spanish- Prepositions. Part 2. 00:17:00 Module 3 Learn Spanish- Numbers. Recap. Part 1. 00:12:00 Learn Spanish- Numbers. Recap. Part 2. 00:13:00 Learn Spanish- Reflexive verbs. Reciprocal verbs. Part 1. 00:11:00 Learn Spanish- Reflexive verbs. Reciprocal verbs. Part 2. 00:11:00 Learn Spanish- Personal hygiene and clothing. Part 1. 00:09:00 Learn Spanish- Personal hygiene and clothing. Part 2 00:12:00 Learn Spanish- Direct and Indirect Object Pronouns. 00:20:00 Learn Spanish- 'To like' and similar verbs. Indirect Object Verbs 00:27:00 Learn Spanish- 'To like' and similar verbs. Vocabulary 00:16:00 Learn Spanish- Present perfect tense 00:23:00 Module 4 Learn Spanish- Present continuous 00:22:00 Learn Spanish- The near or immediate future 00:14:00 Learn Spanish- Shopping 00:26:00 Learn Spanish- Present, Past, Future 00:20:00 Learn Spanish- Your house 00:31:00 Learn Spanish- Comparative 00:17:00 Learn Spanish- Superlatives 00:19:00 Learn Spanish- Demonstrative 00:24:00 Learn Spanish- Possesive 00:23:00 Learn Spanish- Basic conjunctions 00:22:00 Learn Spanish- Past Simple or Indefinite 00:33:00 Learn Spanish- The accent 00:43:00 Learn Spanish- The imperfect tense and the description 00:22:00 Learn Spanish- Of the future 00:19:00 Resources Resources - Complete Spanish Course - Beginner 00:00:00 Course Certification Order your Certificate 00:00:00

Be the workplace imperative and make your dealings smooth via this Active Listening course.Active Listening involves the concentrating

Standard Edition of the Deep Dive into Core Java Programming. An approach to learning Java that is both practical and effective. Become an expert in Java.

Overview Dive into the dynamic world of computer science with our comprehensive 'Computer Science with Python Course'. Python, a versatile and widely used programming language, serves as the foundation for this course, offering learners a gateway into the intricate realm of computing. From installing Python and understanding its documentation to mastering advanced concepts like closures, classes, and data hiding, this course is meticulously designed to cater to beginners and those looking to deepen their knowledge. With a curriculum that's rich and varied, you'll be equipped with the skills to tackle real-world challenges, making you a sought-after asset in the ever-evolving tech industry. The course curriculum is structured to ensure a smooth learning curve. Starting with foundational topics such as command line usage, variables, and simple Python syntax, learners will gradually progress to more advanced subjects.  In the digital age, proficiency in a programming language like Python is invaluable. Whether you're aiming to kickstart a career in tech, enhance your current skill set, or simply satiate your curiosity, this course promises a transformative learning experience. With a blend of theoretical knowledge and its practical application, you'll be poised to make significant strides in the world of computer science. Learning Outcomes of Computer Science with Python Course: Understand Python's foundational concepts, including its installation, documentation, and basic syntax. Gain proficiency in working with various Python data types such as strings, lists, dictionaries, and tuples. Develop the ability to create and manipulate functions, including lambda functions, generators, and closures. Acquire skills in object-oriented programming with a focus on classes, inheritance, and data hiding. Implement advanced programming constructs and handle exceptions efficiently.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2020/01/Computer-Science-with-Python-Course-Introduction-Video-1.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Computer Science with Python Course? 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 Computer Science with Python Course 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 Computer Science with Python course for? Beginners eager to delve into the realm of computer science and programming. Individuals looking to add Python programming to their skill set. Tech enthusiasts keen on understanding advanced Python concepts. Students pursuing computer science and needing a comprehensive Python guide. Professionals in tech roles aiming to enhance their coding capabilities. Prerequisites This Computer Science with Python Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. Career Path Python Developer: £45,000 - £70,000 Annually Data Scientist: £50,000 - £80,000 Annually Software Engineer: £40,000 - £75,000 Annually Backend Developer: £45,000 - £72,000 Annually Systems Analyst: £35,000 - £60,000 Annually DevOps Engineer: £50,000 - £85,000 Annually Course Curriculum Module 01 A Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Module 02 Additional Topics 00:23:00 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Module 03 Data Types 00:24:00 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 04 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Module 05 Function Objects 00:07:00 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Mock Exam Mock Exam - Python Developer 00:20:00 Final Exam Final Exam - Python Developer 00:20:00

Writing modern web applications with a rich UI can be tedious. Blazor gives us .NET developers the chance to leverage our C# skills and build interactive web UIs. In this course, you will gain the ability to build web applications using Blazor. We will explore setting up your first Blazor application; how to work with an API; how data binding works; how to create components and integrate JavaScript components.