5356 Sciences courses

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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 1 Days 6 CPD hours This course is intended for This course is intended for: A technical audience at an intermediate level Overview Using Amazon SageMaker, this course teaches you how to: Prepare a dataset for training. Train and evaluate a machine learning model. Automatically tune a machine learning model. Prepare a machine learning model for production. Think critically about machine learning model results In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment. Day 1 Business problem: Churn prediction Load and display the dataset Assess features and determine which Amazon SageMaker algorithm to use Use Amazon Sagemaker to train, evaluate, and automatically tune the model Deploy the model Assess relative cost of errors Additional course details: Nexus Humans Practical Data Science with Amazon SageMaker 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 Practical Data Science with Amazon SageMaker 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 This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines

Delve into the realm of Wound Care & Tissue Viability, unlocking the secrets to effective healing and patient wellness. Uncover essential practices for optimal outcomes.

Advance your career in healthcare with the Health and Social Care Level 3 Diploma. Gain essential skills and knowledge for impactful roles in the care sector.

Overview This comprehensive course on 'Human Rights' will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This 'Human Rights' comes with accredited certification which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this 'Human Rights'. It is available to all students, of all academic backgrounds. Requirements Our 'Human Rights' 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 5 sections • 5 lectures • 02:00:00 total length •Basic Concept of Freedom and Human Rights: 00:14:00 •Classification of Human Rights: 00:26:00 •Women's and Children's Right: 00:41:00 •Various Aspects of Freedom: 00:18:00 •Various International Human Rights Organisations: 00:21:00

Overview This comprehensive course on Alternative Medicine (Homeopathy) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Alternative Medicine (Homeopathy) comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Alternative Medicine (Homeopathy). It is available to all students, of all academic backgrounds. Requirements Our Alternative Medicine (Homeopathy) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 17 sections • 17 lectures • 05:09:00 total length •Introduction to Homeopathy: 00:18:00 •Principles and Theories behind the Practice: 00:14:00 •Homoeopathic Remedies: 00:34:00 •Practice of Homoeopathy on the Nervous System: 00:15:00 •Practice of Homeopathy on the Respiratory System: 00:26:00 •Practice of Homoeopathy on the Circulatory System: 00:17:00 •Practice of Homoeopathy on the Digestive System: 00:22:00 •Practice of Homeopathy on the Musculoskeletal System: 00:19:00 •Practice of Homoeopathy on the Reproductive Systems: 00:22:00 •Practice of Homoeopathy on the Immune System: 00:22:00 •Practice of Homoeopathy on the Limbic System: 00:17:00 •Homoeopathy for Skin Problems: 00:15:00 •Homoeopathy for Children and Women's Health: 00:21:00 •First Aid with Homoeopathic Remedies: 00:16:00 •How to Treat Patients: 00:16:00 •Homoeopathy's Role in Present and Future: 00:15:00 •Assignment - Alternative Medicine (Homeopathy): 00:00:00

Overview Did you know that according to the World Health Organization, patient-centred care, which includes obtaining informed consent, is a key component of quality health services? The "Consent in Healthcare" course is here for your excellence, boasting a curriculum combining theoretical knowledge with real-world applications. The course opens with an "Introduction to COVID-19," delving deep into the intricacies of this global pandemic. The curriculum further explores the UK Acts to consent, providing valuable insights into the legal landscape governing healthcare consent. The course also covers crucial topics such as "Diagnosis and Treatment," "Artificial Intelligence, Data Science, and Technological Solutions against COVID-19," and "Handling Complaints Regarding Consent."Enrol now in our "Consent in Healthcare" course and unlock a world of opportunities in healthcare and beyond! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Consent in Healthcare. It is available to all students, of all academic backgrounds. Requirements Our Consent in Healthcare 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 18 sections • 16 lectures • 04:52:00 total length •Introduction to COVID-19: 00:28:00 •Understanding of Covid-19 as a Pandemic and How It Is Related to Zoonotic Diseases Like SARS and MERS: 00:12:00 •The Strike of Pandemic Around the World and Great Britain: 00:14:00 •Effects of Covid-19 on Human Life: 00:19:00 •Diagnosis and Treatment: 00:12:00 •Preventions and Social Measures to Be Taken: 00:28:00 •Artificial Intelligence, Data Science and Technological Solutions against Covid-19: 00:19:00 •An Introduction to Consent: 00:14:00 •Information Regarding Consent: 00:13:00 •Consent Training in Healthcare Course: 00:16:00 •Best Interest Decision Making: 00:20:00 •Assessing Capacity: 00:15:00 •Providing Care or Treatment to People Who Lack Capacity: 00:11:00 •Public Bodies and Services Created by MCA Act 2005: 00:22:00 •UK Acts in Relation to Consent: 00:27:00 •Handling Complaints Regarding Consent: 00:22:00

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

Operate a tractor safely by understanding risks, machine controls, PPE, and safety checks, while ensuring proper setup, operation, and shutdown procedures.