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3575 Analyst courses in Westergate delivered On Demand
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 provides practical training in all areas of sustainable energy, including renewable energy sources, photovoltaic systems and sustainable energy technologies. You will learn about the impact of sustainable energy on the environment and will explore wind, solar, ocean and geothermal energy in detail. This course is ideal for those who are looking to fast track their career in the energy sector. It includes case studies and practical exercises that are designed for those who have little knowledge of sustainable technologies in this field. Learning Objective: Be able to identify the different types of non-renewable energy Demonstrate an understanding of sustainable energy technologies & systems Understand how wind, solar, ocean and geothermal energy works Learn about the potential applications of different renewable energy sources Broaden your understanding of the environmental impacts of renewable energy technologies Fast track your career with an endorsed certificate in Sustainable Energy Explore the idea of hydrogen fuel cells as a source of renewable power Develop your understanding of the future of energy systems Learn about photovoltaic systems and how solar energy is harnessed Who is This Course for? This endorsed training course in Sustainable Energy is ideal for those who are interested in working in the sustainable and renewable energy sector, as well as those who would like to gain a more in-depth understanding of sustainable energy sources. Our online courses are specially designed for distance learning, offering flexible virtual classroom modules that you can study at your own convenience. There are no specific entry requirements for the course, which can be studied part-time or full-time. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the course. Good understanding of English language, numeracy and ICT are required to attend this course. Career Path This introductory to sustainable energy course is designed to equip you with the skills and practical knowledge to work in the following professions: Sustainable Energy Consultant Graduate Energy Specialist Energy and Utilities Analyst Energy Engineer Course Curriculum Module 1: History of Energy Consumption Module 1: History of Energy Consumption 00:35:00 Assessment Module 1 Module 01 Final Quiz Exam - Sustainable Energy 00:10:00 Module 2: Non-Renewable Energy Module 2: Non-Renewable Energy 00:30:00 Assessment Module 2 Module 02 Final Quiz Exam - Sustainable Energy 00:10:00 Module 3: Basics of Sustainable Energy Module 3: Basics of Sustainable Energy 00:30:00 Assessment Module 3 Module 03 Final Quiz Exam - Sustainable Energy 00:10:00 Module 4: Fuel Cell Module 4: Fuel Cell 00:45:00 Assessment Module 4 Module 04 Final Quiz Exam - Sustainable Energy 00:10:00 Module 5: Solar Energy Module 5: Solar Energy 00:50:00 Assessment Module 5 Module 05 Final Quiz Exam - Sustainable Energy 00:10:00 Module 6: Wind Energy Module 6: Wind Energy 01:20:00 Assessment Module 6 Module 06 Final Quiz Exam - Sustainable Energy 00:10:00 Model 7: Ocean Energy Module 7: Ocean Energy 00:30:00 Assessment Module 7 Module 07 Final Quiz Exam - Sustainable Energy 00:10:00 Module 8: Geothermal Energy Module 8: Geothermal Energy 00:35:00 Assessment Module 8 Module 08 Final Quiz Exam - Sustainable Energy 00:10:00 Module 9: Application of Renewable Energy Module 9: Application of Renewable Energy 00:15:00 Assessment Module 9 Module 09 Final Quiz Exam - Sustainable Energy 00:10:00 Module 10: Being Environment-Friendly Module 10: Being Environment-Friendly 00:25:00 Assessment Module 10 Module 10 Final Quiz Exam - Sustainable Energy 00:10:00 Order Your Certificate
Discover the power of data science and machine learning with Python! Learn essential techniques, algorithms, and tools to analyze data, build predictive models, and unlock insights. Dive into hands-on projects, from data manipulation to advanced machine learning applications. Elevate your skills and unleash the potential of Python for data-driven decision-making.
Getting Started with Scrum
By Packt
Learn Scrum, a popular framework used to develop software applications through the Agile methodology. This course provides you with step-by-step instructions for learning Scrum and gaining a strong foundation toward various Scrum certifications. Learn Scrum with a build-along experience and apply Scrum in your Agile-based product team at work.
Register on the Financial Analysis today and build the experience, skills and knowledge you need to enhance your expert 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 an e-certificate as proof of your course completion. The Financial Analysis 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 Financial Analysis Receive a e-certificate upon successful completion of the course Get taught by experienced, expert 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 Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring expert. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain an expert lesson to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Financial Analysis, 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 Section-1. Introduction Financial Statement Analysis Objectives 00:02:00 Financial Analysis Methods in Brief 00:10:00 Ratio Analysis 00:05:00 Section-2. Profitability Gross Profit Operating Margin Ratios 00:10:00 Net Profit Expense Control Ratios 00:05:00 Class Room Discussion for some other expenses 00:07:00 Use of Profitability Ratio to Understand Competitive advantage and Business Models 00:08:00 Section-3. Return Ratio Return on Assets and Fixed Assets 00:11:00 Return on Capital Employed 00:08:00 Case Study Analysis of three telecom companies 00:15:00 Cautions for using return ratios on face value 00:04:00 Ratios which help to understand how efficiently assets are used 00:17:00 How we measure utilisation of assets not recorded in Balance Sheet 00:09:00 Section-4. Liqudity Ratio Liquidity Ratio to understand Risk inherent in companies 00:05:00 Long Term Liquidity Ratios 00:06:00 Section-5.Operational Analysis Financial Analysis Measure meant to understand efficiency in other operations 00:04:00 Summarise - Ratios use for operational analysis 00:03:00 Dupont Analysis to understand opportunities in optimising return on equity 00:04:00 Section-6. Detecting Manipulation Detecting Manipulation in accounts - Fake Sales 00:11:00 Detecting Manipulation - Wrong Depreciation and others 00:06:00 Pricing Decisions 00:07:00 How to make Capex Decisions 00:05:00 Assignment Assignment - Financial Analysis 2 weeks, 1 day Order Your Certificate Order your Certificate QLS 00:00:00 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.
Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Data Analysis with Data Analytics bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 33 course mega bundle that will exceed your expectations within your budget. The Data Analysis with Data Analytics related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Data Analysis with Data Analytics bundle will help you build a solid foundation to become a proficient worker in the sector. This Data Analysis with Data Analytics Bundle consists of the following 30 CPD Accredited Premium courses - Course 01:Google Data Studio: Data Analytics Course 02:Diploma in Data Analysis Fundamentals Course 03:Learn How To Optimize Your Google My Business Page In 2016 Course 04:How To Do Keyword Research For SEO & Ranking On Google Course 05:Excel Pivot Tables for Data Reporting Course 06:Research Methods in Business Course 07:Excel Data Analysis Course 08:Complete Communication Skills Master Class for Life Course 09:Public Speaking Course 10:Minute Taking Executive Training Course 11:Receptionist Skills Course 12:Time Management Training - Online Course Course 13:Python Course Course 14:Data Science & Machine Learning with Python Course 15:Basics of WordPress: Create Unlimited Websites Course 16:The Ultimate SEO Blueprint - Easily Ranking #1 On Google Course 17:Quick Data Science Approach from Scratch Course 18:Fundamentals of Business Analysis Course 19:PowerBI Formulas Course 20:Statistical Analysis Course 21:Social Media Marketing-The Step by Step Guide Course 22:Create Your First Responsive Website Course 23:Complete Online Marketing & Advertising Course Course 24:Ultimate Social Media Marketing course Course 25:Business Intelligence and Data Mining Course 26:Marketing Strategies for Business Course 27:Strategic Planning and Analysis for Marketing Course 28:Digital Marketing for Beginners to Advanced Course 29:Digital Marketing Starting an online E-Commerce Store Course 30:Microsoft Power BI - Master Power BI in 90 Minutes! 3 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01: Career Development Plan Fundamentals Course 02: CV Writing and Job Searching Course 03: Interview Skills: Ace the Interview Learning Outcome This tailor-made Data Analysis with Data Analytics bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field This Data Analysis with Data Analytics Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Certification After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 330 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Analysis with Data Analytics bundle! This bundle is also ideal for professionals looking for career advancement. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Requirements To participate in this course, all you need is - A smart device A secure internet connection And a keen interest in Data Analysis with Data Analytics Career path Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.
