1323 Scientist courses

Information on the risks and practical advice to address them TSC's eBooks, whitepapers, and reports cover some of the most important risks in information and cyber security — risks that constantly challenge information and cyber security professionals who work tirelessly to reduce them across their organisations and home users alike.

Information on the risks and practical advice to address them TSC's eBooks, whitepapers, and reports cover some of the most important risks in information and cyber security — risks that constantly challenge information and cyber security professionals who work tirelessly to reduce them across their organisations and home users alike.

Duration 2 Days 12 CPD hours This course is intended for IBM SPSS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS StatisticsBase. Anyone who wants to refresh their knowledge and statistical experience. Overview Introduction to statistical analysis Describing individual variables Testing hypotheses Testing hypotheses on individual variables Testing on the relationship between categorical variables Testing on the difference between two group means Testing on differences between more than two group means Testing on the relationship between scale variables Predicting a scale variable: Regression Introduction to Bayesian statistics Overview of multivariate procedures This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results. Introduction to statistical analysis Identify the steps in the research process Identify measurement levels Describing individual variables Chart individual variables Summarize individual variables Identify the normal distributionIdentify standardized scores Testing hypotheses Principles of statistical testing One-sided versus two-sided testingType I, type II errors and power Testing hypotheses on individual variables Identify population parameters and sample statistics Examine the distribution of the sample mean Test a hypothesis on the population mean Construct confidence intervals Tests on a single variable Testing on the relationship between categorical variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Identify differences between the groups Measure the strength of the association Testing on the difference between two group meansChart the relationship Describe the relationship Test the hypothesis of two equal group means Assumptions Testing on differences between more than two group means Chart the relationship Describe the relationship Test the hypothesis of all group means being equal Assumptions Identify differences between the group means Testing on the relationship between scale variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Treatment of missing values Predicting a scale variable: Regression Explain linear regression Identify unstandardized and standardized coefficients Assess the fit Examine residuals Include 0-1 independent variables Include categorical independent variables Introduction to Bayesian statistics Bayesian statistics and classical test theory The Bayesian approach Evaluate a null hypothesis Overview of Bayesian procedures in IBM SPSS Statistics Overview of multivariate procedures Overview of supervised models Overview of models to create natural groupings

Duration 3 Days 18 CPD hours This course is intended for The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services. Overview You will be able to Describe how Artificial (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Demonstrate Understanding of the Artificial Intelligence (AI) Intelligen Agent Description Explain the Benefits of Artificial Intelligence (AI) Describe how we Learn from Data - Functionality, Software and Hardware Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together Describe a ''Learning from Experience'' Agile Approach to Projects Candidates should be able to demonstrate a knowledge and understanding in the application of ethical and sustainable Artificial Intelligence (AI):- Human-centric Ethical and Sustainable Human and Artificial Intelligence (AI) Ethical and Sustainable Human and Artificial Intelligence (AI) Recall the General Definition of Human and Artificial Intelligence (AI) Describe what are Ethics and Trustworthy Artificial Intelligence (AI) Describe the Three Fundamental Areas of Sustainability and the United Nationïs Seventeen Sustainability Goals Describe how Artificial Intelligence (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Understand that Machine Learning (ML) is a Significant Contribution to the Growth of Artificial Intelligence (AI) Artificial Intelligence (AI) and Robotics Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description Describe what a Robot is Describe what an intelligent Robot is Applying the Benefits of Artificial Intelligence (AI) ? Challenges and Risks Describe how Sustainability Relates to Human-Centric Ethical Artificial Intelligence (AI) and how our Values will Drive our use of Artificial Intelligence (AI) and will Change Humans, Society and Organizations Explain the Benefits of Artifical Intelligence (AI) Describe the Challenges of Artificial Intelligence (AI) Projects Demonstrate Understanding of the Risks of Artificial Intelligence (AI) Projects List Opportunities for Artificial Intelligence (AI) Identify a Typical Funding Source for Artificial Intelligence (AI) Projects and Relate to the NASA Technology Readiness Levels (TRLs) Starting Artificial Intelligence (AI): how to Build a Machine Learning (ML) Toolbox ? Theory and Practice Describe how we Learn from Data - Functionality, Software and Hardware Recall which Rypical, Narrow Artificial Intelligence (AI) Capability is Useful in Machine Learning (ML9 and Artificial Intelligence (AI) AgentsïFunctionality The Management, Roles and Responsibilities of Humans and Machines Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together List Future Directions of Humans and Machines Working Together Describe a ''Learning from Experience'' Agile Approach to Projects

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 0.5 Days 3 CPD hours This course is intended for This course is primarily designed for business leaders, consultants, product and project managers, and other decision-makers who are interested in growing the business by leveraging the power of AI. Other individuals who wish to explore basic AI concepts are also candidates for this course. This course is also designed to assist students in preparing for the CertNexus AIBIZ™ (Exam AIZ-210) credential. Overview In this course, you will identify ways in which AI can bring significant value to the business. You will: Describe AI fundamentals. Identify the functions of AI in business. Implement business requirements for AI. Artificial intelligence (AI) is not just another technology or process for the business to consider?it is a truly disruptive force, one that delivers an entirely new level of results across business sectors. Even organizations that resist adopting AI will feel its impact. If the organization wants to thrive and survive in this transforming business landscape, it will need to harness the power of AI. This course is designed to help business professionals conquer and move beyond the basics of AI to apply AI concepts for the benefit of the business. It will give you the essential knowledge of AI you'll need to steer the business forward. Lesson 1: AI Fundamentals Topic A: A Brief History of AI Topic B: AI Concepts Lesson 2: Functions of AI in Business Topic A: Improve User Experiences Topic B: Segment Audiences Topic C: Secure Assets Topic D: Optimize Processes Lesson 3: Implementing Business Requirements for AI Topic A: Identify Design Requirements Topic B: Identify Data Requirements Topic C: Identify Risks in Implementing AI Topic D: Develop an AI Strategy

Overview of Ornithology (Study of Birds) The skies over Britain are home to more than 600 bird species, each with its own story. From the long journeys of Arctic terns to the clever nest-building of long-tailed tits, birds are full of surprises. Our Ornithology (Study of Birds) course helps you start learning how to spot and understand these amazing creatures. It's perfect for anyone curious about birds, whether you're just starting or looking to learn more. The UK bird conservation sector has grown by 18% in the last ten years. Organisations like the RSPB now have over 2,000 staff and 12,000 volunteers. Bird-related tourism brings around £300 million to the UK economy each year. More than 60,000 people take part in citizen science bird projects. This shows how important Ornithology (Study of Birds) has become for both science and nature lovers. This course takes you through the basics of Ornithology (Study of Birds) and moves into more advanced areas. You will learn bird classification, how to study their behaviour, and how to assess their habitats. The course also teaches key conservation skills. Whether you're listening to bird calls, looking at migration patterns, or helping with nature projects, you’ll gain useful skills. Ornithology (Study of Birds) helps you connect with nature and understand the role birds play in our world. This Ornithology (Study of Birds) course will help you to learn: Identify and name different bird species using scientific tools and methods Understand how bird anatomy connects to their actions and behaviours Study bird habitats and explain how birds fit into their ecosystems Recognise and understand bird calls and other ways they communicate Describe how and why birds migrate, and how they find their way Use basic conservation techniques and join in citizen science projects Who is this course for? Bird and nature lovers who want to learn more about birds and improve their spotting skills Conservation volunteers who want to support bird protection and monitoring work Biology students who are thinking about focusing on birds in their studies or future research Outdoor workers like park rangers, nature guides, or educators who want to know more about bird behaviour and habitats Citizen scientists who enjoy taking part in bird counts, tracking migrations, or helping protect bird habitats Process of Evaluation After studying the Ornithology (Study of Birds) Course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Ornithology (Study of Birds) Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Career Path Completing this Ornithology (Study of Birds) course can help you start or grow in careers such as: Ornithological Researcher – £28K to £45K per year Conservation Officer – £22K to £35K per year Wildlife Consultant – £25K to £42K per year Environmental Educator – £20K to £32K per year Ecological Survey Specialist – £24K to £38K per year Course Curriculum Module 1: Introduction to Ornithology Introduction to Ornithology 00:18:00 Module 2: Bird Classification and Diversity Bird Classification and Diversity 00:20:00 Module 3: Anatomy, Physiology, and Behaviour Anatomy, Physiology, and Behaviour 00:20:00 Module 4: Bird Habitats and Ecology Bird Habitats and Ecology 00:16:00 Module 5: Bird Communication and Vocalisations Bird Communication and Vocalisations 00:18:00 Module 6: Bird Migration and Navigation Bird Migration and Navigation 00:17:00 Module 7: Bird Conservation and Citizen Science Bird Conservation and Citizen Science 00:19:00 Module 8: Avian Research and Techniques Avian Research and Techniques 00:19:00

About Course Environmental Engineering: A Career-Launching Course Are you passionate about protecting the environment? Do you want to make a difference in the world? If so, then environmental engineering is the perfect career for you. This online course will teach you the fundamentals of environmental engineering, from water and wastewater treatment to air pollution control and solid waste management. You will learn how to apply these principles to solve real-world problems, such as developing sustainable water systems, reducing air pollution, and managing hazardous waste. The course is developed by experienced environmental engineers who are passionate about their work. Their knowledge and expertise will help you develop the skills you need to succeed in this exciting field. Upon completion of this course, you will be well-prepared for a career in environmental engineering. You will have the knowledge and skills you need to design, implement, and manage environmental systems that protect our planet. Enroll today and start your journey to a more sustainable future! Here are some of the benefits of taking this course: Learn from experienced environmental engineers Gain the skills and knowledge you need for a career in environmental engineering Apply your knowledge to real-world problems Get hands-on experience with environmental engineering projects Network with other students and professionals in the field If you are interested in a career in environmental engineering, then this course is for you. Enroll today and start your journey to a more sustainable future! What Will You Learn? Understand the fundamentals of environmental engineering. This includes the basic principles of engineering, chemistry, and biology as they apply to environmental problems. Apply environmental engineering principles to solve real-world problems. This includes designing, implementing, and managing environmental systems such as water treatment plants, air pollution control systems, and solid waste management facilities. Communicate effectively about environmental issues. This includes being able to write reports, give presentations, and work with stakeholders to solve environmental problems. Work effectively in multidisciplinary teams. Environmental engineering problems often require the expertise of engineers, scientists, and other professionals. This course will teach you how to work effectively with others to solve these problems. Demonstrate professional and ethical behavior. As an environmental engineer, you will be responsible for protecting the health and safety of the public. This course will teach you the importance of professional and ethical behavior in environmental engineering. Course Content Introduction to Environmental Engineering Introduction to Environmental Engineering Environmental Chemistry and Microbiology Environmental Chemistry and Microbiology Water and Wastewater Treatment Water and Wastewater Treatment Air Pollution Control Air Pollution Control Solid Waste Management Solid Waste Management A course by Xpert Learning RequirementsBasic understanding of Chemistry and Biology. Audience Environmental Engineering Students Civil Engineering Students Individuals who have interest in Environmental Engineering Audience Environmental Engineering Students Civil Engineering Students Individuals who have interest in Environmental Engineering

Duration 2 Days 12 CPD hours This course is intended for This course is suited to marketeers, business analysts, and researchers who are interested in increasing their statistical knowledge. Overview After attending this course, delegates will understand how statistics can be used to provide valuable insight into their business, and be able to apply statistical methods to solve business problems. On returning to work delegates will immediately be able to make a difference to the way that their organisations make decisions. This course covers the statistical methods that analysts need to move from simple reporting on business problems to extracting insight to solve business problems. Course Outline The course will explore the following topics through a series of lectures and workshops: Summary statistics for both continuous data and categorical data Using and reporting confidence intervals Using hypothesis tests to answer business questions Using correlations to explore data relationships Simple prediction models Analysing categorical data Additional course details: Nexus Humans Data-driven Business Using Statistical Analysis 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 Data-driven Business Using Statistical Analysis 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.

The Healthcare Administrator is a wonderful learning opportunity for anyone who has a passion for this topic and is interested in enjoying a long career in the relevant industry. It's also for anyone who is already working in this field and looking to brush up their knowledge and boost their career with a recognised certification. This Healthcare Administrator consists of several modules that take around 4 hours to complete. The course is accompanied by instructional videos, helpful illustrations, how-to instructions and advice. The course is offered online at a very affordable price. That gives you the ability to study at your own pace in the comfort of your home. You can access the modules from anywhere and from any device. Why Choose this Course? Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full tutor support on weekdays 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 Mock exams Multiple-choice assessment Certification 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. Course Content Module 1. Introduction to Health and Social Care Introduction to Health and Social Care 00:18:00 Module 2: Communication and its Relevance Communication and its Relevance 00:43:00 Module 3: Rights and Responsibilities as a Health and Social Care Worker Rights and Responsibilities as a Health and Social Care Worker 00:42:00 Module 4: Organise Schedules Organise Schedules 00:22:00 Module 5: Maintaining Medical Records Maintaining Workplace Safety 00:21:00 Module 6: Effective Filing Systems in Medical Offices Effective Filing Systems in Medical Offices 00:17:00 Module 7: Confidentiality in a Medical Environment Confidentiality in a Medical Environment 00:15:00 Module 8: Controlling Stocks and Supplies Controlling Stocks and Supplies 00:10:00 Module 9: Maintaining Workplace Safety Maintaining Medical Records 00:20:00 Module 10: Medical (Clinical) Coding and Billing Medical (Clinical) Coding and Billing 00:19:00 Module 11: Workplace Health, Safety and Welfare Workplace Health, Safety and Welfare 00:16:00 Module 12: Accidents and Ill Health at Work Accidents and Ill Health at Work 00:13:00 Mock Exam Mock Exam - Healthcare Administrator 00:20:00 Final Exam Final Exam - Healthcare Administrator 00:20:00 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.