2436 Courses

Are you looking for a career in Data Science & Python? Do you want to learn the skills you need to succeed in this exciting Data Science & Python field? If so, then the Data Science & Python - Career Mentoring & Support with Job Opportunity program is perfect for you! Enrol Data Science & Python today and earn upto •90,000 with the help of our guidance. We will help you until you find a job, so you won't have to worry about a thing. Just gain knowledge and learn Data Science & Python skills, getting you a job is our duty. You will receive career mentoring and support from our experienced team of professionals. We will help you develop your resume, network with potential employers, and land your dream job! We are committed to being with you every step of the way, from your job search to your ultimate success. Why Choose Us Our mission is simple: to be your trusted partner and assist you every step of the way until you land the job of your dreams. Here's what makes our Data Science & Python Program stand out from the crowd: Personalised Job Search Assistance: We're in this together! Our dedicated team will work tirelessly to support your entire job searching process. From crafting a standout resume to submitting it to top companies, we'll ensure you have a compelling application that gets noticed. Expertly Crafted CV: Your resume is your ticket to the interview room. Our professional resume writers will create a customised CV highlighting your unique skills and experiences. This will maximise your chances of standing out among the competition. Strategic Placement: We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science & Python field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and finesse. Comprehensive Skill Development: Our program is designed to equip you with the most sought-after skills in Data Science & Python. From mastering cutting-edge tools to honing your skills, we'll ensure you have the knowledge and expertise to excel in any Data Science & Python environment. Ongoing Support: We understand that the journey to landing your dream job doesn't end with placement. That's why our commitment to your success extends well beyond your initial training. Our support team will be available to answer your questions, provide guidance, and assist you as you progress in your career. Here are the 25 courses we will provide once you enrol in the program: Python Basic Programming for Absolute Beginners Intermediate Python Coding Complete Python Machine Learning & Data Science Fundamentals SQL for Data Science, Data Analytics and Data Visualization Learn MySQL from Scratch for Data Science and Analytics Computer Science with Python Course Machine Learning Course with Python Python 3 Programming Diploma in Python Programming Python Data Science with Numpy, Pandas and Matplotlib Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 Learn Python, JavaScript, and Microsoft SQL for Data science Quick Data Science Approach from Scratch Data Science & Machine Learning with R from A-Z R Programming for Data Science Clinical Data Management with SAS Programming Information Governance and Data Management Training Electronic Document Management: Efficient Data Handling Cyber Security Awareness Training AWS Certified Solutions Architect Associate Preparation CompTIA Cloud+ (CV0-002) IT Administration and Networking CompTIA Network+ Certification (N10-007) CompTIA PenTest+ (Ethical Hacking) course These courses will help you to develop your knowledge and skills to become a successful Data Science & Python Expert. The Program is completed in 5 easy steps: Step 1 - Enrol in the program and start learning from the courses we provide After you enrol in the Data Science & Python Program, you will get lifetime access to 25 premium courses related to Data Science & Python. These courses will teach you the knowledge and skills required to become a successful Data Science & Python Expert. Our customer service team will help you and keep in contact with you every step of the way. Step 2 - Complete your courses and get certifications After learning from the Data Science & Python courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks for the first course and 80% for the rest relevant courses. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 3 - Get a consultation session from a professional Take your Data Science & Python skills to new heights with a one-on-one consultation session led by a seasoned professional. Gain invaluable insights, expert tips, and tailored advice that will propel your career forward. Step 4 - Complete the CV and attend the interview Once you've successfully obtained the certifications, our team of professionals will build you a compelling CV and LinkedIn profile. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Kickstart your Data Science & Python career with a starting salary ranging from •25,000 to •40,000 annually. Step into the industry with the assurance of a promising future. Step 5 - We will not leave you until you find a job Our commitment to your success goes above and beyond. We won't stop until you land that dream job. With personalised support, expert guidance, and unwavering dedication, we'll be by your side until you secure the perfect opportunity. Your job search becomes our mission, ensuring you have the best chance at a successful career in Data Science & Python CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Science & Python program is ideal for: Recent Data Science & Python graduates seeking practical guidance and support in their career journey. Professionals looking to transition into the Data Science & Python field and in need of targeted mentoring and job placement assistance. Individuals who want to enhance their Data Science & Python skills and improve their job prospects in the industry. Career changers who aspire to become Data Science & Python and require comprehensive training and guidance. Anyone who wants personalised support in building a strong CV and navigating the competitive job market in the Data Science & Python sector. Requirements No experience required. Just enrol & start learning. Career path After successfully completing this Data Science & Python program, you can explore these career pathways: Data Analyst: •25,000 - •55,000 per year Data Scientist: •40,000 - •85,000 per year Machine Learning Engineer: •50,000 - •100,000 per year Data Engineer: •45,000 - •80,000 per year Business Intelligence Analyst: •35,000 - •65,000 per year Data Science Manager: •70,000 - •120,000 per year. Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included Student ID Card Digital certificate - Included The Quality Licence Scheme Endorsed Certificate of Achievement Hard copy certificate - Included

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.

Duration 4 Days 24 CPD hours This course is intended for This course is appropriate for anyone who wants to create applications or modules to automate and simplify common tasks with Perl. Overview Working within in an engaging, hands-on learning environment, guided by our expert web development, PHP practitioner, students will learn to: Create a working script that gets input from the command line, the keyboard, or a file Use arrays to store and process data from files Create formatted reports Use regular expressions Use the appropriate types of variables and data structures Refactor duplicate code into subroutines and modules What is available in the standard library Use shortcuts and defaults, and what they replace Introduction to Perl Programming Essentials is an Introductory-level practical, hands-on Perl scripting training course that guides the students from the basics of writing and running Perl scripts to using more advanced features such as file operations, report writing, the use of regular expressions, working with binary data files, and using the extensive functionality of the standard Perl library. Students will immediately be able to use Perl to complete tasks in the real world. Session: An Overview of Perl What is Perl? Perl is compiled and interpreted Perl Advantages and Disadvantages Downloading and Installing Perl Which version of Perl Getting Help Session: Creating and running Perl Programs Structure of a Perl program Running a Perl script Checking syntax and warnings Execution of scripts under Unix and Windows Session: Basic Data and I/O Numeric and Text literals Math operators and expressions Scalar variables Default values Writing to standard output Command line arguments Reading from the standard input Session: Logic and Loops About flow control The if statement and Boolean values Using unless and elsif Statement modifiers warn() and die() The conditional construct Using while loop and its variants Using the for loop Exiting from loops Session: Lists and Arrays The list data type Accessing array elements Creating arrays List interpolation Arrays and memory Counting elements Iterating through an array List evaluation Slices and ranges Session: Reading and writing text files File I/O Overview Opening a file Reading text files Writing to a text file Arrays and file I/O Using the <> operator Session: List functions Growing and shrinking arrays The split() function Splitting on whitespace Assigning to literal lists The join() function The sort() function Alternate sort keys Reversing an array Session: Formatting output Using sprintf() and printf() Report formatting overview Defining report formats The write() function Advanced filehandle magic Session: Hashes Hash overview Creating hashes Hash attributes Traversing a hash Testing for existence of elements Deleting hash elements Session: References What is a reference? The two ways to create references References to existing data References to anonymous data Dereferencing scalar, array, and ash references Dereferencing elements of arrays and hashes Multidimensional arrays and other data structures Session: Text and Regular Expressions String length The substr() function The index() and rindex() functions String replication Pattern matching and substitution Regular expressions Session: Raw file and data access Opening and closing raw (binary) files Reading raw data Using seek() and tell() Writing raw data Raw data manipulation with pack() and unpack() Session: Subroutines and variable scope Understanding packages Package and Lexical variables Localizing builtin variables Declaring and calling subroutines Calling subroutines Passing parameters and returning values Session: Working with the operating system Determining current OS Environment variables Running external programs User identification Trapping signals File test operators Working with files Time of day Session: Shortcuts and defaults Understanding $_ shift() with no array specified Text file processing Using grep() and Using map() Command-line options for file processing Session: Data wrangling Quoting in Perl Evaluating arrays Understanding qw( ) Getting more out of the <> operator Read ranges of lines Using m//g in scalar context The /o modifier Working with embedded newlines Making REs more readable Perl data conversion Session: Using the Perl Library The Perl library Old-style library files Perl modules Modules bundled with Perl A selection of modules Getting modules from ActiveState Getting modules from CPAN Using Getopt::Long Session: Some Useful Tools Sending and receiving files with Net::FTP Using File::Find to search for files and directories Grabbing a Web page Some good places to find scripts Perl man pages for more information Zipping and unzipping files

Duration 4 Days 24 CPD hours This course is intended for This in an intermediate-level Java development course geared for students experienced with Java and Spring programming essentials. This course does not cover Java or Spring development basics. Overview Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will: Understand the ReactiveX specification Understand the basics of Reactive Programming Discuss the advantages and limitations of Observables Write a client application capable of handling Reactive events Apply operators to event streams to filter, modify and combine the objects emitted by event publishers Select the appropriate type of Event Source Use both Cold and Hot Observables Deal with backpressure problems in reactive programming Develop a reactive web application using Spring WebFlux Define application flows of a WebFlux application Use the WebClient API to work with both synchronous and streaming APIs Develop Unit and Integration tests to test WebFlux endpoints Creating a reactive REST endpoint Become familiar with the basics of WebSockets Create a WebSocket endpoint using Spring Create a WebSocket client Understand the basics of NoSQL Become familiar with the basics of MongoDB Understand how the data in MongoDB can be retrieved using a Reactive API Define Spring Data MongoDB repositories Query the MongoDB using Spring Data Define a reactive repository using MongoDB Explore the Spring Data R2DBC API to perform reactive CRUD operations against a relational database Spring Data reative allow us to implement database operations relying on Reative Programming APIs. While the Spring R2DBC initiative aims to bring reactive programming to relational databaes, several NoSQL databases already provide this possibility. After an introduction to NoSQL and the MongoDB, this courses covers the APIs available to communicate with this NoSQL database using both blocking and reactive APIs.Introdcution to Reactive Spring is a comprehensive Java training workshop geared for experienced developers who wish to explore concurrent, asynchronous and reactive programming APIs and techniques using Spring. After an introduction to reactive programming, Reactive Streams and the Project Reactor APIs, this course will show how this APIs are integrated into Spring. Spring 5 includes Spring WebFlux, providing a reactive programming model for web applications, including support for Reactive REST APIs. Spring WebSocket assists in the creation of web applications which provide a full-duplex, two-way communication between client and server. Introduction to Reactive Programming Reactive Manifesto Introduce ReactiveX ReactiveX implementations The Observer, Iterator pattern and functional programming Discuss hot and cold publishers Reactive Streams API Introduce the Reactive Streams specification Publisher and Subscribers java.util.concurrent.Flow Transformation of Messages (Processor) Controlling messages Tutorial: Setup Eclipse for Using Maven Introduction Introduce the Reactor Building blocks Flux and Mono Creating observables Subscribing to a stream Testing Event Sources (introduction) Testing reactive implementations StepVerifier : test sequence of emitted items Defining expectations TestPublisher: produce test data to test downstream operators Reactive Operators Introduce Operators Show the use of marble diagrams Explain some commonly used operators Callback operators Schedulers (Multithreading) Thread usage of subscriber and consumer Using the subscribeOn method Introduce the Scheduler interface Using the observeOn method Backpressure Strategies for dealing with Backpressure ?reactive pull? backpressure Exception Handling Handling errors in onError Exception handling strategies Using onErrorReturn or onErrorNext operators Using the retry operators The Global Error Handler Spring Data Review Quick review of Spring Data repositories Query return types Defining Query methods Pagination and sorting R2DBC Reactive Relational Database Connectivity DatabaseClient Performing CRUD operations Reactive Query annotated methods Spring WebFlux: Introduction Annotated Controllers Functional Endpoints WebFlux configuration Creating a reactive REST endpoint Defining flows Defining the application flow Actions Defining decision Navigating flows RouterFunction View Technologies View technologies Using Thymeleaf to create the view View Configuration Spring WebClient: Introduction to WebClient Working with asynchronous and streaming APIs Making requests Handling the response Lab: WebClient WebTestClient Testing WebFlux server endpoints Testing controllers or functions Define integration tests Introduction to Spring Reactive WebSockets Be familiar with the basics of WebSockets Understand the HTTP handshake and upgrade Name some of the advantages of WebSockets Defining the WebSocket WebSocket Message Handling WebSocketSession Implementing the WebSockethandler Creating a Browser WebSocket Client WebSocket STOMP Streaming (or Simple) text-orientated messaging protocol Introduce SockJS Connecting to the STOMP endpoint Configuring the message broker STOMP destinations Reactive WebSocket Reactive WebSocket support Implement the reactive WebSocketHandler BigData Introduce Big Data Explain the need for enhanced data storage Introduction to MongoDB JavaScript Object Notation Overview Introduce Binary JSON (BSON) Starting the database Creating Collections and Documents Executing ?simple? database commands Introduce the ObjectID Searching for documents using query operators Updating and deleting documents MongoDB Compass Spring and MongoDB MongoDB Support in Spring Data MongoClient and MongoTemplate Spring Data MongoDB configuration @EnableMongoRepositories Adding documents to the database The @Document and @Field annotations Polymorphism and the _class property The Criteria object Spring Data MongoDB MongoRepository Field naming strategy Using JSON queries to find documents The @PersistenceConstructor annotation Reactive Repositories with MongoDB Using reactive repositories ReactiveMongoTemplate RxJava or Reactor Additional course details: Nexus Humans Introduction to Reactive Spring (TT3355 ) 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 Introduction to Reactive Spring (TT3355 ) 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.

This course will teach you everything that you need to know to get started with C# scripting in Unity. You will learn step-by-step from scratch every feature of the C# language as well as how to implement them in Unity's API to build amazing games.

Register on the AutoCAD Programming using C# with Windows Forms today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The AutoCAD Programming using C# with Windows Forms is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The AutoCAD Programming using C# with Windows Forms Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the AutoCAD Programming using C# with Windows Forms, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Introduction Introduction 00:03:00 Who is this course for? 00:02:00 Tools needed in this course 00:01:00 What will you learn from this course? What will you learn from this course? 00:05:00 Windows Form and Controls Controls Project Demo - Overview 00:03:00 Controls Demo Project Requirement - Explained 00:03:00 Create the Controls Demo Project 00:03:00 Controls Demo Project - Creating the Form (User Interface) 00:15:00 Develop the Controls Demo Utility Class 00:10:00 Using Combobox Control to select an option 00:13:00 Using Textbox Control to select an option 00:09:00 Using Radiobutton Control to select an option 00:06:00 Using Checkbox Control to select an option(s) 00:18:00 Developing Real World Projects Developing Projects - Overview 00:03:00 Project 1: Creating a Rectangle - Project Overview 00:03:00 Project 1: Creating the Rectangle Utility Class 00:17:00 Project 1: Creating the User Interface 00:10:00 Project 1: Coding the User Interface28:50 00:29:00 Project 1: Running and Testing the Draw Rectangle Plugin 00:08:00 Project 2: Update Objects Layer - Overview 00:02:00 Project 2: Create the User Interface of Update Objects Layer Plugin 00:09:00 Project 2: Coding the Form Load Event 00:07:00 Project 2: Coding the Browse drawing Button 00:03:00 Project 2: Coding the Update Button control 00:07:00 Project 2: Coding the Update Layer Utility Class 00:12:00 Project 2: Running and Testing the Plugin 00:08:00 Project 3: Extracting Block Attributes to Files - Overview 00:03:00 Project 3: Creating the AutomaticBlockExtractor Project 00:02:00 Project 3: Creating the User Interface for the BlockExtractor Project 00:09:00 Project 3: Completing User Interface code 00:22:00 Project 3: Coding the AutoBlockExtractor Utility Class 00:24:00 Project 3: Running and Testing the AutomaticBlockExtractor Plugin in AutoCAD 00:15:00 Project 4: Updating MText Textstyle Project - Overview and Walkthrough 00:05:00 Project 4: Creating the UpdateTextStyle Utility Class 00:19:00 Project 4: Designing the UpdateTextStyle Plugin User Interface 00:06:00 Project 4: User Interface Code 00:16:00 Project 4: Running and Testing the UpdateTextstyle Plugin 00:05:00 Project 5: Converting Drawing to PDF Plugin - Overview 00:03:00 Project 5: Creating the PlotDWGtoPDF Project in Visual Studio 2019 00:04:00 Project 5: Creating the User Interface for MultiplePlotDWGtoPDF Project 00:09:00 Project 5: Coding the User Interface 00:16:00 Project 5: Developing the GetPlotSizes Method 00:10:00 Project 5: Developing the PlotCurrentLayout Method 00:27:00 Project 5: Testing and Running the MultiplePlotDWGtoPDF Project 00:10:00 Project 6: Multiple Object Extractor Project - Overview 00:03:00 Project 6: Creating the MultiObjectExtractor Project 00:02:00 Project 6: Designing the MultiObjectExtractor User Interface 00:14:00 Project 6: Coding the FormLoad Event 00:07:00 Project 6: Coding the BrowseDwg Button 00:12:00 Project 6: Coding the BrowseFile Button 00:03:00 Project 6: Coding the ProcessExtract Button 00:05:00 Project 6: Creating the Code Validation Methods 00:10:00 Project 6: Coding the ProcessDrawing Method 00:19:00 Project 6: Coding the ProcessObjectExtraction Method 00:11:00 Project 6: Coding the ExtractLine Method 00:11:00 Project 6: Coding the ExtractCircle Method 00:04:00 Project 6: Coding the ExtractPolyline Method 00:11:00 Project 6: Coding the ExtractMText Method 00:05:00 Project 6: Coding the ExtractBlock Method 00:03:00 Project 6: Coding the ExtractObjects Method 00:02:00 Project 6: Running and Testing the MultiObjectExtractor Plugin 00:14:00 Conclusion Conclusion and Thank you 00:01:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Register on the R Programming for Data Science today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The R Programming for Data Science is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The R Programming for Data Science Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the R Programming for Data Science, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content 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? 00:01:00 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

10 QLS Endorsed Courses for 3D Game Developer | 10 Endorsed Certificates Included | Life Time Access

10 QLS Endorsed Courses for Data Scientist | 10 Endorsed Certificates Included | Life Time Access

Give a compliment to your career and take it to the next level. This Java Certification Training Course bundlewill provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Java Certification Training Coursebundle will help you stay ahead of the pack. Throughout the Java Certification Training Courseprogramme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector. Along with this Java Certification Training Course course, you will get 10 premium courses, an originalhardcopy, 11 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Java Certification Training Course Bundle Consists of the following Premium courses: Course 01: Java Certification Cryptography Architecture Course 02: jQuery: JavaScript and AJAX Coding Course 03: SQL Programming Masterclass Course 04: Ultimate PHP & MySQL Web Development Course & OOP Coding Course 05: Cocos2d-x v3 JavaScript: Game Development Course 06: jQuery: JavaScript and AJAX Coding Bible Course 07: Intermediate Python Coding Course 08: Mastering Java for Beginners & Experts Course 09: Coding with HTML, CSS, & Javascript Course 10: WordPress Website Creation and Hosting System with Affiliate Marketing! Course 11: Front End Web Development Diploma Course 12: Learn Ethical Hacking From A-Z: Beginner To Expert Course 13: Master JavaScript with Data Visualization Course 14: Creative Thinking for Everyday Life Course 15: Stress Management Training Enrol now in Java Certification Training Course to advance your career, and use the premium study materials from Apex Learning. The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Java Certification Training Course expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. Course Curriculum: (Title Course Only) Section 01: Introduction Introductory Lecture Setup Section 02: Java Cryptography Architecture: MessageDigest, MAC & PBKDF2 Simple Hashing Example Real-world Hashing Example Efficient Stream-Based Hashing Message Authentication Code (MAC) Secure Password Hashing with PBKDF2/PKCS#5 Section 03: Outro Commercial Wrapper Libraries: Demo JCE Unlimited Strength Policy File Installation CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Java Certification Training Course bundle. Requirements This Java Certification Training Course course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Cost of PDF Certificates is included in course price Certificate of completion Hard copy certificate - £9.99 You will get the Hard Copy certificate for the title course (Title Course) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.