1323 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

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.

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

Boost Your Career By Enrolling In This Criminology & Private Investigation Diploma Bundle To Overcome Your Challenges! 6 in 1 Criminology & Private Investigation Diploma Bundle Improve your knowledge and enhance your skills to succeed with this Criminology & Private Investigation Diploma bundle. This Criminology & Private Investigation Diploma bundle is designed to build your competent skill set and enable the best possible outcome for your future. Our Criminology bundle is ideal for those who aim to be the best in their fields and are always looking to grow. This Criminology & Private Investigation Diploma Bundle Contains 6 of Our Premium Courses for One Discounted Price: Course 01: Criminology & Profiling Course Course 02: Private Investigation Diploma Course 03: Accident Investigation Course 04: Crime Analysis Online Course Course 05: Forensic Investigator Fundamentals Course 06: Interrogations And Confessions Psychology All the courses under this Criminology & Private Investigation Diploma bundle are split into a number of expertly created modules to provide you with an in-depth and comprehensive learning experience. Upon successful completion of the Criminology & Private Investigation Diploma bundle, an instant e-certificate will be exhibited in your profile that you can order as proof of your new skills and knowledge. Stand out from the crowd and get trained for the job you want. Learning Outcomes of Criminology & Private Investigation Gain a deep understanding of criminal behaviour and profiling techniques. Develop expertise in private investigation methods and strategies. Master the principles of accident investigation and reconstruction. Acquire proficiency in crime analysis and data interpretation. Learn the fundamentals of forensic investigation and evidence collection. Understand the psychology of interrogations and confessions. With this comprehensive Criminology & Private Investigation Diploma bundle, you can achieve your dreams and train for your ideal career. This Criminology & Private Investigation Diploma bundle covers essential aspects in order to progress in your chosen career. Why Prefer Us for Criminology & Private Investigation Diploma? Get a Free CPD Accredited Certificate upon completion of Criminology & Private Investigation Get a free student ID card with Criminology & Private Investigation Training program (£10 postal charge will be applicable for international delivery) The Criminology & Private Investigation is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Criminology & Private Investigation course materials The Criminology & Private Investigation comes with 24/7 tutor support Start your learning journey straightaway with Criminology & Private Investigation! This Criminology & Private Investigation Diploma's curriculum has been designed by Criminology & Private Investigation Diploma experts with years of Criminology & Private Investigation Diploma experience behind them. The Criminology & Private Investigation Diploma course is extremely dynamic and well-paced to help you understand Criminology & Private Investigation Diploma with ease. You'll discover how to master the Criminology & Private Investigation Diploma skill while exploring relevant and essential topics. *** Curriculum of Criminology & Private Investigation *** Module 01: Introduction to Criminology and Profiling Module 02: Classification of Crime Module 03: Violent Crimes Module 04: The Crime Scene Module 05: Dealing with Crime Module 06: Understanding Criminal Psychology Module 07: Forensic Science Module 08: Phases of Profiling Module 09: Criminal Profiling: Science, Logic and Metacognition Module 10: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice Module 11: Victimology Module 12: The Criminal Justice System in England and Wales Assessment Process of Criminology & Private Investigation Once you have completed all the courses in the Criminology & Private Investigation Diploma bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Criminology & Private Investigation Diploma bundle is suitable for everyone. This Criminology & Private Investigation bundle is also suitable for: Aspiring criminologists Private investigators Law enforcement professionals Forensic scientists Requirements You will not need any prior background or expertise in this Criminology & Private Investigation. Career path This Criminology & Private Investigation Diploma bundle will allow you to kickstart or take your career in the related sector to the next stage. Detective Private investigator Forensic analyst Criminologist Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - £29 If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

Apache NiFi, a robust, open-source data ingestion/distribution framework, is the core of Hortonworks DataFlow (HDF)

Climate change is one of the most pressing issues facing our planet today. The Climate Science Fundamentals Course is your gateway to understanding the science behind climate change, its impacts, and the urgent need for global action. Designed for those looking to get a clear grasp on climate science, this course covers essential concepts such as greenhouse gases, global warming, and climate models. By exploring the science behind the environment's delicate balance, you'll gain insight into how human activity influences the planet and why sustainability matters now more than ever. As the world faces escalating challenges, understanding the science behind climate change becomes more critical. This course breaks down complex scientific principles into clear, easy-to-understand content, ensuring you're equipped to engage in the ongoing conversation about our changing climate. With the knowledge gained, you'll not only appreciate the nuances of climate science but also be prepared to discuss the importance of global cooperation in addressing environmental challenges. Dive into the world of climate science and build a solid foundation for understanding the pivotal issues that shape our future. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Climate Science Module 02: Anthropocene and Historical Context of Climate Change Module 03: The Greenhouse Effect and Global Warming Module 04: Climate Change and Extreme Weather Events Module 05: Ocean and Climate Interactions Module 06: Climate Change and Energy Systems Module 07: Climate Change and Agriculture Module 08: Climate Change and Health Module 09: Climate Change Mitigation and Adaptation Strategies Module 10: Climate Change Communication and Advocacy Module 11: Climate Policy and International Cooperation Module 12: Climate Science and Future Scenarios Learning Outcomes Analyse historical factors influencing contemporary climate challenges. Evaluate the impact of human activities on the greenhouse effect. Examine the intricate relationship between climate change and extreme weather. Investigate the consequences of climate change on global energy systems. Assess the implications of climate change on agriculture and food security. Develop effective communication strategies for climate advocacy. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Environmental enthusiasts seeking in-depth climate knowledge. Scientists and researchers exploring climate complexities. Policy-makers aiming to comprehend climate science intricacies. Students pursuing degrees in environmental sciences or related fields. Professionals in energy sectors adapting to climate challenges. Agricultural professionals addressing climate-related impacts. Health professionals keen on understanding climate-health dynamics. Advocates and communicators striving for effective climate dialogue. Career path Climate Researcher Environmental Policy Analyst Renewable Energy Consultant Agricultural Sustainability Specialist Climate Change Advocate International Environmental Diplomat Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Be a real master of the C programming language, and the art of problem solving using effective approaches of programming

Overview Acquire the language of databases with this SQL Programming Complete Bundlecourse. In this data-driven world, data is used to make strategies, find solutions and do a thousand other tasks. Businesses across the world are using big and related data, which makes a basic knowledge of SQL a remarkable skill not only for data scientists but for everyone. This SQL Programming Complete Bundlecourse will teach you the language of databases, SQL, and help you gain proficiency in SQL tools. How will I get my certificate? At the end of the course there will be a written assignment test which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this SQL Programming Complete Bundle. It is available to all students, of all academic backgrounds. Requirements Our SQL Programming Complete Bundle is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 9 sections • 53 lectures • 07:50:00 total length •Introduction: 00:04:00 •Course Curriculum Overview: 00:05:00 •Overview of Databases: 00:10:00 •MySQL Installation: 00:16:00 •MySQL Workbench Installation: 00:09:00 •Connecting to MySQL using Console: 00:09:00 •Overview of Challenges: 00:04:00 •SQL Statement Basic: 00:16:00 •SELECT Statement: 00:09:00 •SELECT DISTINCT: 00:05:00 •Column AS Statement: 00:12:00 •COUNT built-in Method usage: 00:11:00 •SELECT WHERE Clause - Part One: 00:05:00 •SELECT WHERE Clause - Part Two: 00:11:00 •SQL Statement Basic: 00:16:00 •SQL Limit Clause Statement: 00:09:00 •SQL Using BETWEEN with Same Column Data: 00:11:00 •How to Apply IN Operator: 00:11:00 •Wildcard Characters with LIKE and ILIKE: 00:11:00 •Overview of GROUP BY: 00:06:00 •Aggregation function SUM(): 00:09:00 •Aggregation MIN() and MAX(): 00:05:00 •GROUP BY - One: 00:09:00 •GROUP BY - Two: 00:12:00 •HAVING Clause: 00:05:00 •Overview of JOINS: 00:04:00 •Introduction to JOINS: 00:04:00 •AS Statement table: 00:03:00 •INNER Joins: 00:14:00 •FULL Outer Join: 00:11:00 •LEFT Outer JOIN: 00:08:00 •RIGHT JOIN: 00:08:00 •Union: 00:07:00 •Timestamps: 00:12:00 •EXTRACT from timestamp: 00:10:00 •Mathematical Functions: 00:12:00 •String Functions: 00:22:00 •SUBQUERY: 00:13:00 •Basic of Database and Tables: 00:06:00 •DataTypes: 00:10:00 •Primarykey and Foreignkey: 00:06:00 •Create Table in SQL Script: 00:13:00 •Insert: 00:11:00 •Update: 00:07:00 •Delete: 00:04:00 •Alter Table: 00:09:00 •Drop Table: 00:05:00 •NOT NULL Constraint: 00:08:00 •UNIQUE Constraint: 00:09:00 •Creating a Database backup: 00:12:00 •10a Overview of Databases and Tables: 00:05:00 •10c Restoring a Database: 00:07:00 •Assignment - SQL Programming Complete Bundle: 00:00:00