4193 Pha courses delivered Online

Dive into the comprehensive Trade Lifecycle course, designed to navigate key challenges, strategies, and future trends in trade lifecycle management. From initiation to settlement, gain critical insights into each stage, enhancing your expertise in modern trade processes.

Take your first step into the transformative world of adult counselling with this comprehensive course. Master essential counselling techniques, explore psychological issues in adults, and grasp the ethical and legal considerations of the field. Gear up for a fulfilling career as a professional counsellor in the UK.

Advance your understanding with the Mental Health Level 2 course. Covering disorders from childhood to adulthood, stress, schizophrenia, treatments, and workplace implications, this course is essential for anyone seeking to deepen their knowledge and skills in mental health.

This course delves into the theoretical underpinnings of safety audit practices, from meticulous planning to advanced risk assessment and continuous improvement strategies.

Overview of Microbiology Lab Technician The "Microbiology Lab Technician - CPD Certified" course offers a pathway into the growing field of microbiology in the UK. This course is perfect for anyone looking to start a healthcare, research, or environmental science career. With a projected industry growth rate of 7% over the next decade, there is a high demand for skilled microbiology lab technicians. This course delves into essential topics such as cell structure, microbial diversity, and the role of microorganisms in the environment. It's not just theoretical knowledge-you'll also learn about microbial metabolism, controlling microbial growth, and the significance of immunity and vaccines. These practical skills are invaluable for careers in healthcare, pharmaceuticals, and food safety. By completing this course, you can prepare for a rewarding career as a microbiology lab technician, with salaries ranging from £18K to £30K annually. Gain valuable knowledge and practical skills to contribute to vital sectors and enhance your career prospects. Become proficient in Microbiology by grasping all the essential knowledge from our top-quality course step by step. Enrol now to ensure that your Microbiology mastery is not limited to only conceptual frameworks! This course will assist you in standing out from the crowd and being more efficient in your chosen area of expertise. Furthermore, if you require assistance with the course, we will provide experts who will support and guide you. So, add this course to your cart and boost your personal and career development. In this Microbiology Lab Technician - CPD Certified, you will: Understand fundamental concepts of microbiology and its applications. Explain cell structure and organisation in microorganisms. Describe the chemical metabolism processes in microbes. Identify methods for controlling microbial growth. Differentiate between prokaryote and eukaryote microbial diversity. Recognise the importance of microorganisms in the environment. Enrolling in the Microbiology Lab Technician - CPD Certified can assist you in getting into your desired career faster than you ever imagined. So, without further ado, start now! Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. 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 Microbiology Lab Technician course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Microbiology Lab Technician is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Microbiology Lab Technician course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Microbiology Lab Technician Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Microbiology Laboratory Technician Module 01 : Introduction to Microbiology 00:28:00 Module 02 : Cell Structure and Organisation 00:31:00 Module 03 : Microbial Diversity Prokaryote Diversity 00:25:00 Module 04 : Microbial Diversity Eukaryote Diversity 00:32:00 Module 05 : Viruses, Viroids, and Prions 00:22:00 Module 06 : Interactions between Microbes and Humans 00:28:00 Module 07 : Human Microbial Diseases 00:30:00 Module 08 : Microorganisms in the Environment 00:19:00 Module 09: Laboratory Equipments (Part-01) 00:26:00 Module 10: Laboratory Equipments (Part-02) 00:15:00 Module 11: Solutions Used in Clinical/Medical Laboratory 00:17:00 Module 12: Sterilisation, Disinfection and Decontamination 00:18:00 Module 13: Laboratory Accidents and Safety 00:18:00

Move up a Grade A Revision guide for students in all subjects at school, university and professional levels Course Information   Description Exams are a difficult time. Studying can be tedious and frustrating, but you have to put in the hours in to get the marks. There are no quick fixes, but you can get a better grade with a good revision strategy. This course presents the revision strategy I used to get the second highest mark in the finals of my accountancy qualifications and 10 A’s out of 11 exams through three years of accountancy study. The revision strategy is not complicated, and you still have to do the work – it’s not a magic solution – but it guides you through each phase of revision, and the exam itself, to help you get the best possible marks. I firmly believe that this revision strategy will get you a better mark than you would have without it. Thank you for your interest in this course. I hope this course will help you prepare for your exams   Course Pre-Requisites There are no pre-course requirements.   What Students will Learn How to structure your days and weeks during the revision period How to plan your revision An effective way to learn your material The importance of giving your mind a break – every day The importance of exam practice How to allocate the exam time over the questions How exam marks work To go for the marks, rather than for perfection What to do (and what not to do) on the day of the exam Tips for the exam A simple technique to reduce stress and boost learning     Curriculum SS1 Introduction and Agenda 3 mins SS2 Structure your Week 7 mins SS3 Start Each Day on a Positive Note 2 mins SS4 Revision Phase 1 2 mins SS5 Revision Phase 2 2 mins SS6 Give your Mind a Break 2 mins SS7 Revision Phase 3 5 mins SS8 Revision Phase 4 2 mins SS9 Exam Preparation 1 2 mins SS10 Exam Preparation 2 5 mins SS11 Emotional Freedom Technique 9 mins SS12 The Exam 5 mins SS13 Final Thoughts on Revision 6 mins SS14 Test your Knowledge 8 mins   Total time 1 hour    Additional Resources None     Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in finance processes. Ross is also a professional author of online training courses for accountants. Ross lives in Scotland with his wife, daughter and Cocker Spaniel

Planned changes to the Construction Skills Certification Scheme mean that from September 2017, Construction Related Occupation (CRO) cards will be phased out. Without registration on an accepted course, or an industry-recognised qualification for your trade, you will not be able to apply for a CSCS card, unless you apply for the CSCS Labourer Card, to access construction sites. An IOSH Working Safely Certificate, along with a CITB Health & Safety Certificate, allows you to apply for a Labourer Card. Therefore, from September 2017, without a CSCS card, you won't get on site. The Labourer Card may be the only way you can get on site.

Duration 1 Days 6 CPD hours This course is intended for The course is designed for anyone desiring or requiring an understanding of how to manage cloud technologies as a business asset. This includes: IT Asset Managers Hardware Asset Managers Software Asset Managers Cloud Asset Managers Cloud Project Managers IT Managers IT Cloud Managers and Developers Cloud Vendor Managers IT Procurement IT Security Professionals Overview The student will learn the nuances of cloud assets and manage them from a financial, risk, compliance, and efficiency perspective. Upon completion of the course, the student will be able to: Understand the attributes of and requirements for managing cloud assets Define and develop cloud asset management processes Create cloud asset policies Develop and implement a communication plan for managing cloud assets Identify tool requirements to support the cloud asset type Develop cloud vendor contract requirements Understand and articulate individual and department responsibilities for the cloud asset management program Define requirements for managing cloud vendors Assess the organization's cloud asset management readiness This course takes an in-depth look at cloud assets. It defines how to manage these assets using best practical practices for the primary cloud architectures Software-as-a-Service, Platform-as-a-Service, and Infrastructure as-a-Service. What is Information Technology Asset Management? Why Cloud Solutions Need ITAM Introducing Cloud Services Vendor's Tools Cloud Vendor Management Communication Managing SaaS Acquire Phase Receive Phase Deploy Phase In-Use Phase Recover Phase Dispose Phase Example Vendor Reports Terms and Conditions Vendor Scorecard Managing IaaS and PaaS ITAM Data Center Challenges, Before Virtualization ITAM Data Center Challenges, with Virtualization The Data Center Transformation The End-User ITAM Supporting Processes Acquire Phase Receive Phase Deploy Phase In-Use Phase Recover Phase Dispose Phase Software Asset Management Example Vendor Reports Terms and Conditions Vendor Scorecard Disaster Recovery PlanDisposal of Replaced IT AssetsCAM and the ITAM Hierarchy Additional course details: Nexus Humans The Definitive Guide to Cloud Asset Management 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 The Definitive Guide to Cloud Asset Management 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 2 Days 12 CPD hours This course is intended for Architects and specialists who are involved in a form of Enterprise Architecture, such as; business, application, data, technology, management and security architecture. Managers in the role of Project-, Operational- and Senior-Manager. Overview The first day of the TOGAF Foundation Level 1 training will focus on the concepts of Enterprise Architecture and its position in order to extensively consider the concepts of TOGAF and the relationship between them. The second day is devoted to going through an architectural process based on a case, in which the concepts discussed the previous day are reviewed again, but this time in context. In this way you obtain a clear and clear picture of TOGAF and the mostly theoretical and abstract material is presented in a digestible way. The TOGAF Foundation level 1 training will focus on the concepts of Enterprise Architecture and its position in order to extensively consider the concepts of TOGAF and the relationship between them. Part 1 Introduction Introduction Enterprise Architecture Position Enterprise Architecture Introduction TOGAF Overview of TOGAF concepts Architecture Capability Framework Architecture Development Method (ADM) Guidelines & Techniques Enterprise Continuity & Tools Reference Models Architecture Content Framework preliminary phase Phase A Architecture Vision' Phase B Business Architecture Phase C Information Systems Architecture Phase D Technology Architecture Phase E: Opportunities & Solutions Phase F: Migration Planning Phase G: Implementation Governance Phase H: Architecture Change Management Architects and specialists who are involved in a form of Enterprise Architecture, such as; business, application, data, technology, management and security architecture. Managers in the role of Project-, Operational- and Senior-Manager. Part 2 TOGAF Concepts Part 3 Going through a TOGAF Cycle Additional course details: Nexus Humans TOGAF 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 TOGAF 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 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm