The App Development for Entrepreneurs Mini Bundle is your launchpad into the fast-moving world of startup tech. Whether you're preparing to lead your own development team, build your MVP from scratch, or simply want to become hireable in the startup ecosystem, this bundle is designed for entrepreneurs who demand results. With a laser focus on Python, UX, Go Lang, CSS, and Project Management, this bundle is tailored to make your CV stand out in tech incubators, venture-backed startups, and agile development environments. Description In today’s digital age, the ability to develop, manage, and scale apps is a core business asset. Entrepreneurs need more than just ideas—they need the technical literacy to turn those ideas into reality. With this bundle, you’ll gain critical exposure to Python, the most widely used language in modern app development. With Python, you're not just learning to code—you're gaining a universally respected tool for solving real business problems. Good ideas are useless without execution, and execution lives and dies by user experience. That’s why UX appears throughout the bundle. Strong UX design means the difference between a product people abandon and a product people love. UX is also a powerful hiring asset, with thousands of employers actively recruiting candidates who understand the full lifecycle of customer-first design. To compete with modern microservice architectures, you’ll see Go Lang play a significant role in your learning journey. Go Lang offers speed, simplicity, and performance, making it a top skill for scale-oriented startups. The demand for Go Lang developers continues to rise, particularly in API-heavy ecosystems and back-end heavy MVPs. You’ll also explore CSS as a core front-end styling language. Whether you’re styling buttons, cards, or full layouts, CSS proficiency ensures your vision looks as good as it works. CSS continues to appear in job descriptions across web and mobile roles. Finally, no entrepreneurial skillset is complete without Project Management. Building apps isn’t just technical—it’s organizational. Employers and co-founders alike prize team leads with Project Management expertise. With Project Management skills, you're not just writing code—you’re delivering complete, scalable solutions. Don’t wait to be outpaced. Use this chance to gain serious credibility in Python, UX, Go Lang, CSS, and Project Management—all in one hireable, value-packed bundle. FAQ Q: Who is this bundle for? A: Entrepreneurs, startup founders, career changers, and developers aiming to lead product teams or pitch MVPs will benefit most. It’s tailored to those who want real-world credibility in Python, UX, Go Lang, CSS, and Project Management. Q: What kind of jobs could this lead to? A: This bundle helps you pursue roles such as App Developer, Product Owner, Technical Co-founder, UX Consultant, and Startup Project Manager—roles where Python, UX, Go Lang, CSS, and Project Management are not just preferred, but essential. Q: Is now the right time to take this bundle? A: If you’re waiting, so are your competitors. Python, UX, Go Lang, CSS, and Project Management skills are hiring gold. The market is moving fast—don't get left behind.
If you're aiming to step into the world of operations or sharpen your ability to run things efficiently behind the scenes, the Operations Coordinator Mini Bundle was created with your career in mind. Packed with must-have professional competencies—Problem Solving, Self Organisation, Purchasing and Procurement, Succession Planning, and Operations Management—this bundle is built to get you hired, fast. Whether you're targeting logistics, manufacturing, administration, or corporate coordination roles, every module in this bundle enhances your practical appeal to hiring managers. With thousands of roles seeking candidates who understand Purchasing and Procurement or excel in Operations Management, this is your chance to get ahead of the competition—without overpaying or wasting time on filler. Description The Operations Coordinator Mini Bundle is an all-in-one launchpad for jobseekers who want to become indispensable. Problem Solving isn’t just a soft skill—it's the backbone of every effective coordinator, and you'll get familiar with its role in everything from crisis handling to day-to-day decision-making. Self Organisation ensures you’re not just another employee, but someone who can manage timelines, tasks, and teams effortlessly. Hiring managers in logistics, supply chain, retail, manufacturing, and corporate support sectors specifically search for professionals with proven insight into Purchasing and Procurement—making this bundle a perfect fit for anyone hoping to move into sourcing or supply-related roles. Succession Planning, on the other hand, adds value to your ability to think long-term and build stable systems, whether you're helping SMEs grow or managing transition plans in large enterprises. And let's not forget the heart of this bundle—Operations Management. It's one of the most sought-after keywords in recruitment listings and a career foundation that applies to nearly every organised business process. Don’t wait until the job market shifts again. Use this Operations Coordinator Mini Bundle to make yourself hireable in five highly in-demand areas—Problem Solving, Self Organisation, Purchasing and Procurement, Succession Planning, and Operations Management. It’s smart, affordable, and ready when you are. FAQ Q: What industries will this help me break into? A: Logistics, supply chain, administration, manufacturing, retail, and corporate operations. Q: Is this bundle beginner-friendly? A: Absolutely. It’s built to boost employability regardless of your current experience level. Q: Will this help me become a team leader or stay in support roles? A: Both. The skills like Succession Planning and Operations Management open doors to leadership. Q: How soon can I see results? A: Many learners see increased interview call-backs within a few weeks of completion. Q: Is this bundle more technical or strategic? A: It strikes the right balance—technical enough to get hired, strategic enough to grow. Q: Can I use this for freelance or contract work? A: Yes. These skills apply in freelance project management and procurement contracts. Q: Is this bundle priced competitively? A: Yes—and intentionally. It’s designed for maximum return on minimal investment. Q: What makes this bundle different? A: Every course—Problem Solving, Self Organisation, Purchasing and Procurement, Succession Planning, and Operations Management—was chosen because employers consistently request them.
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
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