1339 Scientist courses

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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.

Course Overview The history of the human species is embedded in their genes. The slightest change in the gene can lead to major changes in physical or mental disorders. Learn the principles of genes and their function from this Fundamentals of Genetics course. In this Fundamentals of Genetics course, you will learn the basic principles and structures of genes. You will be familiarized with different genetic disorders and their symptoms. You'll also learn how to perform counselling. This course will strengthen your understanding of genetics and provide you with the skills you need to pursue your career in genetics. The bite-sized interactive lessons of this Fundamentals of Genetics course will teach you the topics with ease and in an enjoyable way. This course doesn't need any prior knowledge, you can learn from this course despite your different educational background. Learning Outcomes Familiarize with the fundamental concept of genetics Learn about genetics and genomics Know about different genetic disorders Understand how to perform genetic counselling Know about different applications of genetics knowledge Be able to determine different types of genetic disorders Familiarize with the treatments for genetic disorders Who is this course for? This comprehensive Fundamentals of Genetics is ideal for those who want to understand the principles of genetics. This course will give you a clear understanding of the basic principles of genetics from scratch. 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. Certification After you have successfully completed the course, 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 Fundamentals of Genetics is a useful qualification to possess and would be beneficial for any related profession or industry such as: Genetic Engineers Senior Consultants Analysts Medical Coders Researchers Specialists Research Assistants Application Scientists Module 1- Fundamental Concepts of Genetics Fundamental Concepts of Genetics 00:12:00 Module 2- Genetics and Genomics Genetics and Genomics 00:11:00 Module 3- Genetic Disorders Genetic Disorders 00:18:00 Module 4- Genetic Counselling Genetic Counselling 00:12:00 Module 5- Application of Genetics Knowledge Application of Genetics Knowledge 00:16:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Course Overview A library holds the history and literature of a culture or the whole world in the pages of its books. To make all these information accessible and enjoyable to people, proper library management is essential. Learn library management skills from this Diploma in Library and Information Science course and take the first step to be a librarian. This Diploma in Library and Information Science course will teach you how you can manage and organise information. You'll be familiarised with library infrastructure and acquire managerial and financial skills you need to be a librarian. You'll also learn about virtual library management skills. This course will help you to understand the functions of library networking and boost your skill. The easily understandable lessons will provide you with the updated skills and knowledge of library management. You'll be able to learn about information science from scratch in this course. Learning Outcomes Learn about the roles and responsibilities of a librarian Understand the ethical values in library management Be able to use library networking efficiently Familiarise with data management and the duties of library management Know about UK legislation of data storage and library management Be able to understand how to manage a digital library Familiarise with the virtual library system Learn to manage finance and budgeting for library resources Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email What Skills Will You Learn from This Course? Network Building Financial Management Library Management Who Should Take this Diploma in Library and Information Science Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Diploma in Library and Information Science course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Diploma in Library and Information Science Certification After completing and passing the Diploma in Library and Information Science course successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. Career Path The Diploma in Library and Information Science is a useful qualification to possess and would be beneficial for any related profession or industry such as: Librarians Library Assistants Researchers Data Analysts Data Scientists Diploma in Library and Information Science Module 01: Organisation Systems 00:27:00 Module 02: Ethics and Values in the Library Professions 00:23:00 Module 03: Library Networking 00:19:00 Module 04: Library as Infrastructure 00:27:00 Module 05: Finance and Budgeting 00:19:00 Module 06: Digital and Virtual Libraries 00:21:00 Module 07: Library Legislation 00:25:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Course Overview Have you ever felt confused about the environmental issues? We are surely living in an era where climate change is one of the biggest concern. But there are various types of reports and opinions that you might feel confused. But not anymore. Learn environmental management from this Environmental Management Training course and enhance your environmental literacy today. In this Environmental Management Training course, you will be familiarized with different environmental changes and their reasons. You will learn about ecological changes and how environmental planning can help you improve your environmental management skill. You will also learn about environmental law and policies, how to perform an environmental audit and understand the current ecological concerns from this course. This Environmental Management Training course is perfectly for you to understand the environmental effect of your actions and learn how to take responsibility for your actions. The bite-sized lessons will help you understand the concepts and techniques easily.  Learning Outcomes Learn about the change of the ecology Understand the negative effect of environmental change Discover how to apply environmental management in your workplace and personal life Familiarize with the principles of EMS Learn about the potential of environmental management Understand the EU and UK law of environmental protection Learn the skills you need to perform an environmental audit Know how to act responsibly for environmental changes and negative effects of environmental change Learn about situation on environmental management Understand how you can improve environmental performance of your workplace Who is this course for? This comprehensive Environmental Management Training course is ideal for those who want to understand climate change effects and maintain a environment friendly surrounding.  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. Certification After you have successfully completed the course, 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 Environmental Management Training is a useful qualification to possess and would be beneficial for any related profession or industry such as: Environmental Managers Environmental Advisors Sustainability Managers Ecologists Business Owners Environmental Analysts Scientists Entrepreneurs Environmental Management Training Module 01: Environment and Ecology 00:21:00 Module 02: Environmental Issues 00:26:00 Module 03: Environmental Planning 00:22:00 Module 04: Environmental Management System 00:32:00 Module 05: Ecosystem Management 00:29:00 Module 06: Environmental Law and Policy 00:24:00 Module 07: Improving Environmental Performance 00:25:00 Module 08: Environmental Management Audit 00:38:00 Module 09: Situational Environmental Management 00:27:00 Module 10: Review and Performance 00:18:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Course Overview Learn the fundamental and basic concepts of chemistry and make your life more colorful with all the reactions. This Online Diploma in Basic Chemistry course will help you advance your study in chemistry and pursue a career in the chemical science industry. In this Online Diploma in Basic Chemistry course, you will learn about the most basic concepts and their application. You will get to know about the periodic table, metals, organic and inorganic chemistry. You will also learn about the functions of energy, intermolecular force, gases and liquids. This course will also familiarize you with various types of chemistry like biochemistry, nuclear chemistry, molecular science and many more. Chemistry can make your understanding clear about what is happening around you and add extra spice to your life. This Online Diploma in Basic Chemistry course will teach you the basic concepts of chemistry from scratch. Learn Chemistry and enjoy the science behind your everyday life. Learning Outcomes Get a clear understanding of the basics of chemistry Get to know about matters, atoms and chemical bonds Familiarize with the ins and outs of the periodic table Understand the function of energy, intermolecular forces and gases Get in-depth knowledge about inorganic and organic chemistry Learn what chemical equilibrium is Get to know about the importance of PH and POH Familiarize with different chemical reactions Get to know about different chemical hygiene plans Maintain laboratory safety while working in a laboratory Who is this course for? This comprehensive Online Diploma in Basic Chemistry is ideal for those who want to grasp the basic concepts of chemistry and strengthen their basics. This course is suitable for learners of any age. 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. Certification After you have successfully completed the course, 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 The Online Diploma in Basic Chemistry is a useful qualification to possess and would be beneficial for any related profession or industry such as: Chemical Technicians Lab Technicians Forensic Scientists Environmental Analysts Engineers Operation Analysts Analytical Chemists Toxicologists Chemistry Teachers Water Chemists Researchers Online Diploma in Basic Chemistry Module 01: Introduction to Basic Chemistry 00:24:00 Module 02: Understanding Matter 00:21:00 Module 03: Atom 00:41:00 Module 04: Chemical Bonding 00:25:00 Module 05: Energy 00:38:00 Module 06: Periodic Table 00:35:00 Module 07: Intermolecular Forces 00:25:00 Module 08: Gases 00:25:00 Module 09: Solution 00:26:00 Module 10: Chemical Equilibrium 00:30:00 Module 11: Kinetics and Equilibrium 00:17:00 Module 12: Acids and Bases 00:23:00 Module 13: pH and pOH 00:23:00 Module 14: Reactions Involving Acids and Bases 00:25:00 Module 15: Redox Reaction 00:21:00 Module 16: Electricity and Chemistry 00:28:00 Module 17: Inorganic Chemistry 00:24:00 Module 18: Organic Chemistry 00:44:00 Module 19: Biochemistry 00:30:00 Module 20: Nuclear Chemistry 00:27:00 Module 21: Industrial Chemistry 00:24:00 Module 22: Environmental Chemistry 00:24:00 Module 23: Laboratory Safety 00:36:00 Module 24: Chemical Hygiene Plan 00:14:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Course Overview As the whole world is looking forward to generating environmentally friendly energy, hydroelectricity is one of the greatest opportunities for the future. Learn how hydroelectric power works from this Basics of Hydroelectric Power Plant course and take the first step towards green energy generation. This Basics of Hydroelectric Power Plant  course will teach you the fundamentals of hydroelectricity and how to manage a hydropower plant. You will learn about the different components of a hydropower plant and their work. This course will also teach you about the benefits of the hydropower plants, the terminologies and working principles.  This Basics of Hydroelectric Power Plant course will help you enhance your knowledge and skills about hydropower plants, functions and maintenance. The easily understandable lessons will assist you to learn about hydropower plants quickly. This course is ideal for anyone who wants to understand the function of environment friendly energy generation and their applicability. Learning Outcomes Learn about the roles of hydroelectricity in today's power engineering market Understand the benefits of hydroelectricity Familiarize with hydro power plant terminologies Learn how hydro turbines work Know about different hydropower plant components Understand the differences between several hydro turbines and their applications Who is this course for? This comprehensive Basics of Hydroelectric Power Plant is ideal for those who want to understand the functions of hydroelectric powerplants. You will get a clear idea about powerplant management from this course. 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. Certification After you have successfully completed the course, 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 Basics of Hydroelectric Power Plant is a useful qualification to possess and would be beneficial for any related profession or industry such as: Electrical Engineers Mechanical Engineers Power Engineers Power Plant Supervisors Environmental Engineers Environmental Analysts Researchers Scientists Welcome to the Course Course Overview 00:02:00 Welcome 00:02:00 Introduction Hydroelectricity Introduction 00:01:00 Short History Lesson 00:02:00 Potential to Electrical Energy 00:01:00 The Hydro Power Engineering Industry 00:08:00 Hydroelectric Power Plant Terminology Hydroelectric Power Plant Terminology 00:01:00 Impoundment and Diversion 00:03:00 Headwater, Tailwater, Head and Pondage 00:04:00 Upper and Lower Reservoirs 00:01:00 Common Hydroelectric Power Plant Components Hydroelectric Power Plant Components 00:01:00 Prior, Preparation and Planning 00:06:00 Trash Racks 00:03:00 Gates - Intake, Draft Tube, Spillway 00:05:00 Spillway 00:05:00 Penstock - Pressurised Water Conductor 00:03:00 Turbine Runners 00:03:00 Draft Tube 00:02:00 Power House 00:03:00 Generator and Power Distribution 00:06:00 Hydroelectric Turbines Hydroelectric Turbines 00:07:00 Reaction and Impulse Turbines 00:03:00 Axial, Mixed and Radial Flow Turbines 00:02:00 Kaplan Turbines 00:05:00 Variable Pitch Blades 00:04:00 Francis Turbines 00:05:00 Pelton Turbines Part 1 00:03:00 Pelton Turbines Part 2 00:07:00 Types of Hydroelectric Power Plant Types of Hydroelectric Power Plant 00:01:00 How Hydroelectric Dam Power Plants Work 00:07:00 How Run of the River Power Plants Work 00:05:00 How Tidal Barrage Power Plants Work 00:07:00 How Tidal Stream Power Plants Work 00:09:00 How Pumped Storage Power Plants Work 00:13:00 Final Thoughts Final Thoughts 00:02:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! Humans and plants; an eternal friendship. Although humans have drastically (and foolishly) undermined this immensely beneficial relationship in the post-industrialisation era, they are becoming increasingly aware of the numerous benefits pants offer. Hence, studying plants or botany is a popular choice among learners around the world. To assist you in taking the first step to learning plants, we present this botany course for you. Botany is the scientific study of plants. It encompasses the study of the structure, growth, reproduction, metabolism, development, diseases, and evolution of plants. Botanists are scientists who specialise in studying plants and their environmental interactions. In this Botany course, you will learn about plant physiology, ecology, genetics, embryology, and much more. So, enrol in this botany course now! This Diploma in Botany at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPD to make your skill development and career progression related to Botany substantial and easier than ever! Learning Outcome This Botany course enables you to - Develop an understanding of plant cells and their functions Discuss plant physiology in a thorough manner Recognise the fundamental physiological process that occurs in plants Determine the economic significance of gymnosperms Explain the fossilisation process and the factors that influence it Why Prefer This Botany Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS after completing the Botany course Get a free student ID card! (£10 postal charges will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. *** Course Curriculum *** Here is the curriculum breakdown of this Diploma in Botany: Module 01: Introduction to Biology Module 02: Morphology of Plants Module 03: Cell Biology and Anatomy of Plants Module 04: Naming Plants and Taxonomic Classifications Module 05: Plant Physiology Module 06: Embryology of Plants Module 07: Plant Genetics and Evolution Module 08: Plant Ecology Module 09: Cryptograms and Microbes Module 10: The Gymnosperms Module 11: Angiosperms - The Flowering Plants Module 12: Palaeobotany Assessment Process We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the exam, you will be able to request a certificate with additional cost that has been endorsed by the Quality Licence Scheme. Show off Your New Skills with a Certificate of Completion Endorsed Certificate of Achievement from the Quality Licence Scheme After completing the course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for international delivery Certificate Accredited by CPD Upon finishing the course, you need to order to receive a Certificate Accredited by CPD that is recognised all over the UK and also internationally. The pricing schemes are - 10 GBP for Digital Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery) CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This botany course is intended for anyone with a deep interest in plants and who wants to gain an understanding of plant biology. Requirements The Botany program does not require any prior knowledge; everyone may participate! This Botany course is open to anyone who is interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This course allows you to study at your own speed and grow a quality skillset. Career path This Botany course can assist you in pursuing a career as - Botanist Ecologist Palaeontologist

Course Overview Learn about the functions of Microsoft Azure from this AZ-900 | Microsoft Azure Fundamentals Full Course course. The course will give you a clear understanding of the basics of Microsoft Azure and how you can use this cloud platform to grow and strengthen your online existence. In this AZ-900 | Microsoft Azure Fundamentals Full Course course, you will learn about the tools and basic functions of Microsoft Azure. You will be familiarized with the core Azure services, security, privacy and compliance policies. This course will teach you how you can secure your website and account using multi-factor authentication and protect data from hackers. This course will also help you to understand the supports Azure can offer you and get the best suitable one for you. Microsoft Azure is one of the most popular and safe cloud platforms. This AZ-900 | Microsoft Azure Fundamentals Full Course course will teach you the functions of Microsoft Azure from scratch. You don't need any prior knowledge or technical background to understand the lessons of this course. Learning Outcomes familiarize with the fundamentals of cloud services Understand the benefits of using cloud services Learn about the differences between capital expenditure and operational expenditure Be able to compare and contrast the IAAS, PAAS and SAAS service Learn about different cloud models and how they work Understand the core Azure architectural components Learn about the solutions you will get from Azure Learn about the management tools of Azure Get to know about the security and private privacy protocols of Microsoft Azure Understand how Azure identity services work Familiarize with role-based access control system Understand the policies and compliance standards in Azure Who is this course for? This comprehensive AZ-900 | Microsoft Azure Fundamentals Full Course is ideal for those who want to learn more about the functions of Microsoft Azure. You will learn about the application of Microsoft Azure and the career prospect from this course. 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. Certification After you have successfully completed the course, 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 AZ-900 | Microsoft Azure Fundamentals Full Course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Managers Managing Directors Management Executives Data Security Officers Programmers Microsoft Azure Developers Technicians Computer Operators Cloud Engineers Cloud Data Consultants Azure Consultants Data Scientists Course Introduction Introduction 00:04:00 Module 1 : Cloud Concepts What is Cloud Computing - I 00:05:00 What is Cloud Computing - II 00:06:00 Benefits of Cloud Computing 00:09:00 Key Concepts and Terminology 00:06:00 Economies of Scale 00:01:00 CapEx Vs OpEx 00:03:00 Cloud Models : What is Public Cloud 00:02:00 Cloud Models : Characteristics of Public Cloud 00:02:00 Cloud Models : What is Private Cloud 00:01:00 Cloud Models : Characteristics of Private Cloud 00:01:00 Cloud Models : Hybrid Cloud 00:01:00 Cloud Models : Characteristics of Hybrid Cloud 00:01:00 Review and What Next!! 00:01:00 What is IAAS 00:04:00 Use Cases of IAAS 00:02:00 What is PAAS ? 00:02:00 Use Cases of PAAS 00:04:00 What is SAAS ? 00:02:00 Cloud Models : Shared Responsibility Model 00:09:00 Module 2 : Core Azure Services Introduction 00:01:00 Azure Regions 00:01:00 Special Azure regions 00:01:00 Region pairs 00:01:00 Feature Availability Region Wise 00:01:00 Availability Zones 00:01:00 Availability Sets 00:02:00 What are Resource Groups? 00:02:00 Azure Resource Manager 00:01:00 What Next!! - Azure Core Services and Products 00:02:00 What is Azure Compute 00:01:00 Azure Virtual Machines - Audiocast Only 00:01:00 Azure Virtual Machines I - LAB 00:15:00 Azure Virtual Machines II - LAB 00:01:00 Azure Virtual Machines III - LAB 00:02:00 Azure Virtual Machines IV - LAB 00:04:00 Azure Virtual Machines V - LAB 00:03:00 Azure Virtual Machines VI - LAB 00:03:00 What are Containers? 00:04:00 Containers ( LAB Activity ) 00:07:00 Containers VS Virtual Machines 00:04:00 What Are Virtual Networks 00:01:00 Virtual Networks - LAB 00:15:00 Azure Load Balancer 00:01:00 VPN Gateway 00:01:00 Azure Application Gateway - I 00:02:00 Azure Application Gateway - II 00:01:00 Azure Content Delivery Networks (CDN's) 00:02:00 How CDN works ? 00:03:00 Azure CDN - Lab Activity 00:07:00 Azure Storage Services 00:01:00 Structured Data 00:01:00 Semi Structured Data 00:01:00 Unstructured Data 00:01:00 Azure Storage Account - Types 00:03:00 Azure Storage Account - Blob - Lab Activity - I 00:07:00 Azure Storage Account - Blog - Lab Activity - II 00:07:00 Azure Storage Account - Blob - Lab Activity - III 00:16:00 Azure Storage Account - Blog - Lab Activity - IV 00:09:00 Azure Storage Account - Blob - Lab Activity - V 00:04:00 Azure Storage Account - Blob - Lab Activity - VI 00:07:00 Azure Database Services 00:02:00 Azure SQL - Lab Demo 00:09:00 Azure MarketPlace 00:02:00 What is Internet of Things ( IOT ) - Intro 00:01:00 IOT Hub 00:01:00 IOT Hub Demo 00:09:00 Azure Big Data and Analytics 00:01:00 Azure SQL Data Warehouse 00:01:00 Azure HDInsights 00:01:00 Azure Data Lake Analytics 00:01:00 Machine Learning 00:02:00 Azure Machine Learning Services and Studio 00:02:00 What is Server less Computing ? 00:02:00 The concept of DevOps 00:03:00 Azure Management Tools 00:01:00 Creating Resources with Powershell - Lab Activity 00:05:00 Creating Resources with Azure CLI - Lab Activity 00:07:00 Provision Resources using Cloud Shell - Lab Activity 00:05:00 Deployment with JSON - Lab Activity 00:08:00 Azure Advisor 00:01:00 Module 2 : What did we learn 00:01:00 Module 3 Security, Privacy, Compliance and Trust What to expect in Module 3 00:01:00 Azure Firewalls 00:02:00 Azure Firewall - Lab Activity - notes 00:02:00 Azure Firewall - Lab Activity 00:19:00 Azure DDOS 00:02:00 Network Security Groups 00:03:00 Application Security Groups 00:02:00 Which Network Security Solution to choose from ? 00:04:00 AuthZ and AuthN 00:01:00 Azure Active Directory 00:02:00 Multi Factor Authentication 00:03:00 Azure Security Center 00:02:00 Azure Security center - LAB activity 00:08:00 Azure Key Vault 00:02:00 Azure Information Protection 00:02:00 Azure Advanced Threat Protection 00:04:00 What is Azure Policy 00:03:00 Azure Policy - Lab Activity 00:06:00 Azure Role Based Access Control ( RBAC ) 00:02:00 Azure Role Based Access Control ( RBAC ) - Lab Activity 00:07:00 Azure Locks 00:01:00 Azure Locks - Lab Activity 00:02:00 Azure Blueprints 00:01:00 Subscription Governance 00:02:00 Azure Tags 00:03:00 Azure Monitoring 00:02:00 Azure Monitor- Lab Activity 00:03:00 Azure Service Health 00:01:00 Monitoring Applications and Services 00:04:00 Compliance Terms and Requirements 00:02:00 Microsoft Privacy Statement 00:01:00 Microsoft Trust Center 00:01:00 Service Trust Portal 00:01:00 Azure Government Services 00:02:00 Azure Germany Services 00:01:00 Azure China 21Vianet 00:02:00 Module 4 : Azure Pricing and Support Module 4 Introduction : What tÌ¥o expect in this module 00:02:00 Azure Subscriptions 00:06:00 What are Management Groups 00:01:00 Purchase Azure Product & Services : Available Options 00:01:00 Usage Metrics 00:01:00 Factors Affecting Costs 00:02:00 The concept of Zones for Billing 00:02:00 Azure Pricing Calculator 00:04:00 Azure Total Cost of Ownership ( TCO ) 00:02:00 Ways to Minimize Costs in Azure 00:04:00 Azure Cost Management 00:02:00 Azure Support Plans 00:03:00 Alternative Support Options 00:02:00 Service Level Agreements ( SLA's ) 00:03:00 Composite SLA's 00:03:00 Improving Application SLA's 00:04:00 Public and Preview Features 00:01:00 Providing Feedback 00:01:00 General Availability 00:01:00 Azure Updates , Announcements and Roadmaps 00:01:00 Course Conclusion Course Conclusion 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. Additional course details: Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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 Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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.