1132 Courses in Leicester delivered On Demand

Looking to break into one of the most future-proof careers of the century? This 20-in-1 Software Engineering bundle is crafted to help you become job-ready with a blend of technical expertise and professional workplace skills—no fluff, just focus. Description The tech industry doesn’t wait for anyone. Employers are scanning CVs for adaptable, multi-skilled individuals who can build, communicate, and lead in digital environments. This Software Engineering bundle delivers exactly that, combining coding proficiency, team leadership, and project coordination to give you a sharp edge. Whether your goal is to secure a junior dev role, contribute to DevOps pipelines, or move into tech project coordination, this bundle gives you the foundational competence companies actually look for. It’s especially relevant for roles in software houses, fintech, healthtech, AI startups, and consultancy firms where multi-skill fluency is a must. With 20 purpose-built courses bundled together, the cost-per-skill is unbeatable. And in a hiring landscape where every vacancy attracts dozens of applicants, this bundle ensures your CV lands in the shortlist pile—not the bin. Don’t wait until someone else grabs your opportunity. FAQ Q: Who should take this bundle? A: Anyone seeking roles in software development, quality assurance, DevOps, or product teams. Q: Does this bundle include workplace skills too? A: Yes, and that’s the advantage—it builds both tech and communication leadership. Q: How does this help me get hired? A: It aligns your skills with what tech companies are hiring for: versatility, collaboration, and digital fluency. Q: Can I use this for freelance or remote work? A: Absolutely—many skills here are ideal for tech freelancers and remote workers. Q: What types of employers value this? A: Startups, SaaS companies, IT consultancies, and any tech-driven business.

In today’s job market, being “just a coder” isn’t enough. The Python: 20-in-1 Premium Online Courses Bundle equips you with a well-rounded, hireable tech stack designed for real-world job relevance. From development to data to digital marketing—this is your career kit in one click. This isn’t just Python—it’s your passport to tech employment in web development, IT support, data analysis, project coordination, and freelance tech gigs. If you're looking to upskill or break into tech, this bundle is your launchpad. Description This isn’t the time to learn just one thing. Employers want multi-skilled professionals—and this bundle delivers exactly that. With 20 strategically chosen courses, you’ll be able to plug into industries like fintech, SaaS, marketing, e-commerce, and cybersecurity with confidence. Whether you’re eyeing remote work, freelancing, or stable employment in tech-driven sectors, this all-in-one curriculum puts your CV on hiring radars. Plus, the combination of coding, data, and project-based tools means you’ll be prepared for both startup scrambles and corporate ladders. You could spend months piecing this together—or you could have it all, now. Don’t just be employable. Be undeniable. FAQ Q: Who should enrol in this bundle? A: Beginners, career changers, freelance hopefuls, or professionals wanting to future-proof their tech careers. Q: What roles does this bundle help prepare for? A: Web developer, data analyst, cybersecurity assistant, project coordinator, IT technician, and more. Q: How long do I get access? A: Lifetime. You can revisit courses anytime—even when you're already working. Q: Is prior experience needed? A: No. This bundle is designed to suit all levels, from novice to early-career professionals. Q: Why 20 courses? A: Because the tech world demands agility. One skill won’t cut it—this bundle equips you with many.

This is a beginner-friendly video course that teaches you how to build a 2D game from scratch using Unity and C#. You will learn how to implement 2D lighting, use particle systems, program a player controller, and more. No prior experience is necessary!

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.

Want to become an expert NLP engineer and a data scientist? Then this is the right course for you. In this course, we will be covering complex theory, algorithms, and coding libraries in a very simple way that can be easily grasped by any beginner as well.

Learning Objectives Introduction , Interviewing Pitfalls , Before the Interview , During the Interview , After the Interview , Conclusion   Pre-Requisites There are no prerequisites for this course.   Description One of the most important decisions a company can make is hiring new employees. Good hiring decisions can make or break teams and can have a direct impact on a company's bottom line. Additionally, increasing diversity in hiring is about more than simple fair hiring practices. Research shows diverse teams make faster decisions and are more innovative. This class is designed to assist managers, supervisors, and HR staff in improving interviewing skills. Course Introduction Introduction 00:02:00 Section 01 Lesson 01: What is Unconscious Bias 00:05:00 Lesson 02: Overcoming Unconscious Bias 00:03:00 Section 02 Lesson 01: Creating the Job Description 00:03:00 Lesson 02: Planning the Questions 00:03:00 Lesson 03: Building a Scorecard 00:02:00 Lesson 04: Preparing for the Interview 00:02:00 Section 03 Lesson 01: Setting Candidates at Ease 00:01:00 Lesson 02: Conducting the Interview 00:03:00 Lesson 03: Selling the Job 00:02:00 Section 04 Lesson 01: Making the Big Decision 00:02:00 Course Recap Recap 00:01:00

A comprehensive, simple, visual guide and a super-easy course using SAS with no installation on your computer necessary. This course uses the latest SAS Studio offered through SAS OnDemand and it's completely free. 12+ hours of knowledge-packed lectures, videos, quiz questions, followed by two practical and hands-on guided exercises and projects.

Build modern responsive websites and UIs with Sass, and get started with exploring Flex and CSS Grid

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

Medical Terminology: Medical Terminology Course Online Do you wish to begin a career in the field of medical terminology? Or do you want to improve your knowledge of medical terminology? If the answer is yes, you've found the proper site. By acquiring the skills of medical terminology, you will be able to provide the best results possible with the help of our extensive Medical Terminology: Medical Terminology Course. All the most recent subjects have been covered in this medical terminology training to keep you well-prepared for your career. An overview of medical terminology and all the essential jargon is provided at the beginning of our medical terminology course. In the Medical Terminology: Medical Terminology Course, you will learn various maintenance techniques for various bodily systems. You will also be able to control any common illnesses and medical disorders with this Medical Terminology. You will be able to maintain appropriate medical records and communication after completing this Medical Terminology course. So enrol now for a successful Medical Terminology: Medical Terminology Course career without any further delay! Main Course: Medical Terminology Course Free Courses included with Medical Terminology: Medical Terminology Course Along with Medical Terminology Course you will get free Medical Receptionist Along with Medical Terminology Course you will get free Medical Transcription Special Offers of this Medical Terminology: Medical Terminology Course: This Medical Terminology: Medical Terminology Course includes a FREE PDF Certificate. Lifetime access to this Medical Terminology: Medical Terminology Course Instant access to this Medical Terminology: Medical Terminology Course 24/7 Support Available to this Medical Terminology: Medical Terminology Course Medical Terminology: Medical Terminology Course Online This Medical Terminology: Medical Terminology Course has covered all the latest topics to keep you better prepared for your medical terminology profession. From introduction to medical terminology to other relevant topics are included in this Medical Terminology: Medical Terminology Course. Also, you will know about the body systems terminology, medical specialities and procedures in this Medical Terminology course. common medical conditions and diseases are also part of this Medical Terminology: Medical Terminology Course. Through this Medical Terminology: Medical Terminology Course, you can learn to make medical documentation, proper communication and pharmacology. Who is this course for? Medical Terminology: Medical Terminology Course Online Everyone is welcome to attend this Medical Terminology: Medical Terminology Course training. Requirements Medical Terminology: Medical Terminology Course Online To enrol in this Medical Terminology: Medical Terminology Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Medical Terminology Course. Be energetic and self-motivated to complete our Medical Terminology Course. Basic computer Skill is required to complete our Medical Terminology Course. If you want to enrol in our Medical Terminology Course, you must be at least 15 years old. Career path Medical Terminology: Medical Terminology Course Online Our Medical Terminology: Medical Terminology Course might help you obtain a job in this field.