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Overview This comprehensive course on R Programming for Data Science will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This R Programming for Data Science comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this R Programming for Data Science. It is available to all students, of all academic backgrounds. Requirements Our R Programming for Data Science is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 23 sections • 129 lectures • 06:25:00 total length •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 •Engine and coding environment: 00:03:00 •Installing R and RStudio: 00:04:00 •RStudio: A quick tour: 00:04:00 •Arithmetic with R: 00:03:00 •Variable assignment: 00:04:00 •Basic data types in R: 00:03:00 •Creating a vector: 00:05:00 •Naming a vector: 00:04:00 •Vector selection: 00:06:00 •Selection by comparison: 00:04:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •Mathematical functions: 00:05:00 •Data Utilities: 00:08:00 •Additional Materials: 00:00:00 •grepl & grep: 00:04:00 •Metacharacters: 00:05:00 •sub & gsub: 00:02:00 •More metacharacters: 00:04:00 •Additional Materials: 00:00:00 •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 •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 •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 •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 - R Programming for Data Science: 00:00:00

Level 2 Microsoft Office Essentials

Automate your Excel workflow, accelerate your productivity, and master the fundamentals of programming with VBA!

Overview This The Complete SQL : Bootcamp course will unlock your full potential and will show you how to excel in a career in The Complete SQL : Bootcamp. So upskill now and reach your full potential. Everything you need to get started in The Complete SQL : Bootcamp is available in this course. Learning and progressing are the hallmarks of personal development. This The Complete SQL : Bootcamp will quickly teach you the must-have skills needed to start in the relevant industry. In This The Complete SQL : Bootcamp Course, You Will: Learn strategies to boost your workplace efficiency. Hone your The Complete SQL : Bootcamp skills to help you advance your career. Acquire a comprehensive understanding of various The Complete SQL : Bootcamp topics and tips from industry experts. Learn in-demand The Complete SQL : Bootcamp skills that are in high demand among UK employers, which will help you to kickstart your career. This The Complete SQL : Bootcamp course covers everything you must know to stand against the tough competition in the The Complete SQL : Bootcamp field.  The future is truly yours to seize with this The Complete SQL : Bootcamp. Enrol today and complete the course to achieve a The Complete SQL : Bootcamp certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the The Complete SQL : Bootcamp course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the The Complete SQL : Bootcamp course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the The Complete SQL : Bootcamp course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This The Complete SQL : Bootcamp is suitable for anyone aspiring to start a career in The Complete SQL : Bootcamp; even if you are new to this and have no prior knowledge on The Complete SQL : Bootcamp, this course is going to be very easy for you to understand.  And if you are already working in the The Complete SQL : Bootcamp field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this The Complete SQL : Bootcamp course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This The Complete SQL : Bootcamp course has no prerequisite.  You don't need any educational qualification or experience to enrol in the The Complete SQL : Bootcamp course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online The Complete SQL : Bootcamp course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Course Introduction Introduction 00:04:00 Course Curriculum overview 00:04:00 Overview of Databases 00:08:00 SQL Environment Setup PostgreSQL Installation 00:13:00 Connecting to PostgreSQL using psql 00:04:00 Connecting to PostgreSQL using PgAdmin 00:07:00 Creating Database and Tables Basic of Database and Tables 00:06:00 Data Types 00:07:00 Primary Keys and Foreign Keys 00:04:00 Create Table in SQL Script 00:17:00 Insert 00:05:00 Update 00:05:00 Delete 00:03:00 Alter Table 00:05:00 Drop Table 00:02:00 Check Constraint 00:12:00 NOT NULL Constraint 00:04:00 UNIQUE Constraint 00:06:00 SQL Statement Basics Overview of Challenges 00:04:00 SQL Statement Basic 00:07:00 SELECT Statement 00:12:00 SELECT DISTINCT 00:10:00 Column AS Statement 00:07:00 COUNT 00:07:00 SELECT WHERE Clause - One 00:06:00 SELECT WHERE Clause - Two 00:11:00 ORDER 00:05:00 LIMIT 00:04:00 BETWEEN keyword usage on real time 00:08:00 IN Operator 00:06:00 LIKE and ILIKE 00:10:00 GROUP BY Statements Overview of GROUP BY 00:03:00 Aggregation Function 00:12:00 GROUP BY - One 00:05:00 GROUP BY - Two 00:06:00 HAVING on SQL Statement 00:04:00 JOINS Overview of JOINS 00:07:00 Introduction to JOINS 00:06:00 AS Statement table 00:05:00 INNER Joins 00:14:00 Full Outer Joins 00:04:00 Left Outer join 00:03:00 Right Outer Join 00:05:00 Union 00:05:00 Advanced SQL Commands Basic of Advanced SQL Commands 00:04:00 Timestamps 00:17:00 Extract from Timestamp 00:05:00 Mathematical Functions 00:06:00 String Functions 00:16:00 SubQuery 00:08:00 Databases and Tables Overview of Databases and Tables 00:02:00 Creating a Database backup 00:03:00 Restoring a Database from backup 00:04:00 Mock Exam Mock Exam - The Complete SQL from Scratch: Bootcamp 00:20:00 Final Exam Final Exam - The Complete SQL from Scratch: Bootcamp 00:20:00

This course focuses on building the application and static website with the help of Next.js. Next.js is written on JavaScript, therefore, the individual will learn to develop the full-stack application CRUD, pagination, authentication, and more.

Embark on this course in web development with HTML, CSS, JS, and React for a comprehensive training program designed to empower beginners and experienced designers alike with the essential skills needed to create captivating and dynamic websites. Explore the power of React.js, HTML5, CSS3, JavaScript, and build scalable components with React.

Description: The minute is an integral part of any meeting. In fact, the success of any meeting largely depends on the proper minute. The course covers the necessary techniques of minute preparing and the skills needed for secretarial roles. At first, you will explore the skills for taking minutes that will be followed by the roles and responsibilities of a secretary or PA. You will learn how to take minutes with OneNote. The course then focuses on the communication skill, negotiation and influencing skills, self-esteem and confidence building, time management and other skills related to the secretary. Finally, the course teaches how to prepare business writing and reports. Who is the course for? People interested in maximizing their efficiency in note taking for their jobs People interested in working as a stenotype operator or journalist Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. 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/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.   Minute Taking and Executive Secretarial Diploma - Updated Version Minute Taking Executive Training Introduction to Minute Writing 00:20:00 Preparation for Minute Taking 00:23:00 The Meeting Structure 00:16:00 Minute Meetings, Decisions and Actions 00:18:00 Roles and Responsibility of Minute Taker 00:27:00 Tips for Minute Taking 00:22:00 Technology in Minute Taking 00:12:00 Building Confidence 00:13:00 Executive PA Module 1: Introduction to Personal Assistant 00:20:00 Module 2: Business Telephone Skills 00:21:00 Module 3: Representing Your Boss and Company 00:37:00 Module 4: Mail Services and Shipping 00:28:00 Module 5: Travel Arrangements 00:27:00 Module 6: Organising Meeting and Conferences 00:28:00 Module 7: Time Management 00:38:00 Module 8: Record Keeping and Filing Systems 00:31:00 Module 9: Business Writing Skills 00:43:00 Module 10: Organisational Skills 00:28:00 Module 11: Communication Skills 00:28:00 Module 12: Customer Service 00:19:00 Module 13: Effective Planning and Scheduling 00:49:00 Module 14: Invoicing/Petty Cash 00:30:00 Module 15: Professional Conduct and Ethics 00:24:00 Minute Taking and Executive Secretarial Diploma - Old Version Minute Taking Basics What Minutes are 01:00:00 What to include/what to ignore 00:30:00 Motions and Resolutions 00:15:00 Method of recording minutes 00:30:00 Reasons for Meeting 00:30:00 What is a decision? 00:15:00 Minute Taking tips 00:30:00 Taking Minutes with OneNote The Role of a Minute-Taker 00:30:00 The Skills of a Minute-Taker 00:15:00 Meeting Agreements 00:15:00 Minutes Styles 00:15:00 What Do I Record 00:30:00 Techniques for Preparing Minutes 00:30:00 Taking Minutes in an Interactive Meeting 00:30:00 The Minute Book 00:15:00 Secretarial Interpersonal Skills Module One - Getting Started 00:30:00 Module Two - Verbal Communication Skills 01:00:00 Module Three - Non-Verbal Communication Skills 01:00:00 Module Four - Making Small Talk and Moving Beyond 01:00:00 Module Five - Moving the Conversation Along 00:30:00 Module Six - Remembering Names 01:00:00 Module Seven - Influencing Skills 01:00:00 Module Eight - Bringing People to Your Side 01:00:00 Module Nine - Sharing Your Opinion 01:00:00 Module Ten - Negotiation Basics 01:00:00 Module Eleven - Making an Impact 01:00:00 Module Twelve - Wrapping Up 00:30:00 Developing Interpersonal Skills Course- Activities 00:00:00 Administrative Management skills Module One - Getting Started 00:30:00 Module Two - Why Your Office Needs Administrative Procedures 01:00:00 Module Three - Gathering the Right Tools 01:00:00 Module Four - Identifying Procedures to Include 01:00:00 Module Five - Top Five Procedures to Record 01:00:00 Module Six - What to Include in Your Binder (I) 01:00:00 Module Seven - What to Include in Your Binder (II) 01:00:00 Module Eight - Organizing Your Binder 01:00:00 Module Nine - What Not to Include in the Procedure Guide 01:00:00 Module Ten - Share Office Procedure Guide 01:00:00 Module Eleven - Successfully Executing the Guide 01:00:00 Module Twelve - Wrapping Up 00:30:00 Business Writing Module One - Getting Started 00:30:00 Module Two - Working with Words 01:00:00 Module Three - Constructing Sentences 01:00:00 Module Four - Creating Paragraphs 01:00:00 Module Five - Writing Meeting Agendas 01:00:00 Module Six - Writing E-mails 01:00:00 Module Seven - Writing Business Letters 01:00:00 Module Eight - Writing Proposals 01:00:00 Module Nine - Writing Reports 01:00:00 Module Ten - Other Types of Documents 01:00:00 Module Eleven - Proofreading and Finishing 01:00:00 Module Twelve - Wrapping Up 00:30:00 Self Esteem & Confidence Building Module One - Getting Started 01:00:00 Module Two - What Does Self-Confidence Mean To You 01:00:00 Module Three - Obstacles to Our Goals 01:00:00 Module Four - Communication Skills 01:00:00 Module Five - The Importance of Goal Setting 01:00:00 Module Six - Feeling the Part 01:00:00 Module Seven - Looking the Part 01:00:00 Module Eight - Sounding the Part 01:00:00 Module Nine - Powerful Presentations 00:30:00 Module Ten - Coping Techniques 01:00:00 Module Eleven - Dealing with Difficult Behavior 00:30:00 Module Twelve - Wrapping Up 00:15:00 Mock Exam Mock Exam - Minute Taking and Executive Secretarial Diploma 00:20:00 Final Exam Final Exam - Minute Taking and Executive Secretarial Diploma 00:20:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? 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 Data Science & Machine Learning with R from A-Z 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 Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z 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 Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00

This course extensively illustrates how to become a skilled JavaScript developer. Working from the fundamentals, you will learn what JavaScript is, what it can do, and why to use it. A range of topics is covered clearly and structured while building practical projects along the way, including real-world examples and mini-challenges.

This course offers an immersive experience in data analysis, guiding you from initial setup with Python and Pandas, through series and DataFrame manipulation, to advanced data visualization techniques. Perfect for enhancing your data handling and analysis skills.