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Certified Software Asset Manager (CSAM)
By Nexus Human
Duration 1 Days 6 CPD hours This course is intended for It is essential information for beginning IT Asset Managers and other IT professionals involved in asset management, resource budgeting, finance, software licensing, contract management and strategic planning. Overview During this course, students learn best practices in Software Asset Management Reducing Risk Increasing Accountability Uncovering Savings Gaining Control of the IT Environment The IAITAM Certified Software Asset Manager (CSAM) Course is a foundational education program that ensures students are able to manage software assets. Students also learn about the ever-changing variables throughout our industry. From software piracy and compliance issues to legislation and organizational challenges, it is necessary to evaluate both the internal and external influences that bring about change in how organizations manage their IT assets. A successful Software Asset Manager must look at the overall goals of the organization and determine where Software Asset Management will be a strategic influence in achieving those goals. This course also includes the exam for CSAM certification. Course Outline The Scope of Software Strategic License Management Software Harvesting License Documentation The Right to Audit Proactive vs. Reactive SAM Developing Goals Savings Opportunities ITAM Compliance Audit Letter Examples of License Data Documentation Compliance Enforcement Understanding the EULA Due Diligence for Compliance The Art of Negotiation Ts & Cs Advice ITAM Automation Selecting a Discovery Tool ITAM Repository Hardware & Organizational Impacts Additional course details: Nexus Humans Certified Software Asset Manager (CSAM) 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 Certified Software Asset Manager (CSAM) 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.
Python With Data Science
By Nexus Human
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
Online Options
Show all 223Platelet-rich Plasma (PRP) treatments Nationally Recognised Qualification No previous experience or qualifications needed Open College Network Accreditation Level 4 (as required for minimally invasive procedures) Covers standards set by HEE Employed (salon) or Self-Employed opportunities Basic understanding of English language required OPEN TO ALL APPLICANTS
THIS COURSE PACKAGE INCLUDES: 1: PERIPHERAL I.V. CANNULATION - IV THERAPIES COURSE (GPT008) 2: VACCINATION / INJECTION COURSE (GPT601) Learn how to administer injectables and intravenous therapies ... FAST-TRACK YOUR AESTHETICS TRAINING WITH OUR COMPLETE TRAINING PACKAGE 20% Multi-Course Discount Cover all stages from Level 1 through to Level 4 (FDSc) Cover your theory training online Complete your advanced practical training in 1 day Practical training in Classroom or Virtual Classroom Comprehensive Practise@Home training kits for VC Awards 2 accredited qualifications Dual Accreditations for all courses Covers all steps required to safely perform injectables Covers all steps required to safely perform IV therapies Practise IV on artificial arm with fake blood Practise injection techniques on realistic injection pads Learn beginner to advanced skills and techniques Basic understanding of English language required OPEN TO ALL APPLICANTS
Graphics Academy
By Inclusive Solutions
How to use graphic skills to support your person centred planning
Kitchen Gardening
By iStudy UK
Kitchen Gardening Overview Ever dream of picking fresh veggies for dinner straight from your own backyard? The Kitchen Gardening Course turns your dream into reality! This beginner-friendly course is your guide to growing a thriving vegetable patch, even if you've never gardened before. We'll start with the basics, helping you choose the perfect sunny spot in your outdoor space for your garden. Then, it's all about picking the right vegetables for you! Learn which ones grow best in your climate and taste amazing, so you can enjoy a harvest of deliciousness all season long. The course also equips you with everything you need to keep your plants happy and healthy. Discover how to prepare your soil to give your veggies the best possible start. You'll learn how to plant them properly and keep those pesky bugs away using natural methods. Finally, we'll show you how to harvest your crops at just the right time and store them safely so you can enjoy them for longer. By the end of this course, you'll be a kitchen gardening pro! The Kitchen Gardening Course is your key to unlocking the satisfaction of growing your own food and creating a beautiful, productive space in your backyard. Get ready for fresh, homegrown veggies and a deeper connection to your food! Learning Outcomes Plan and design a productive kitchen garden in your outdoor space. Select vegetables that thrive in your climate and suit your taste preferences. Prepare the soil for optimal vegetable growth using effective techniques. Master proper planting techniques to ensure healthy and vibrant plants. Implement eco-friendly pest management strategies for a sustainable garden. Harvest your vegetables at the peak of freshness and store them safely for later enjoyment. Why You Should Choose Kitchen Gardening Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Kitchen Gardening is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Kitchen Gardening is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Module 01: Introduction to Kitchen Gardening Introduction to Kitchen Gardening 00:24:00 Module 02: Planning for Kitchen Gardening Planning for Kitchen Gardening 00:33:00 Module 03: Choosing Vegetables for Your Garden Choosing Vegetables for Your Garden 00:32:00 Module 04: Choosing Crops for Your Garden Choosing Crops for Your Garden 00:28:00 Module 05: Preparing Your Soil with Care Preparing Your Soil with Care 00:28:00 Module 06: Preparing the Bed and Planting Your Crops Preparing the Bed and Planting Your Crops 00:31:00 Module 07: Maintaining your Garden and Best Practices Maintaining your Garden and Best Practices 00:32:00 Module 08: Practicing Eco-Friendly Pest Management Practicing Eco-Friendly Pest Management 00:15:00 Module 09: Harvesting Your Crops and Storing Safely Harvesting Your Crops and Storing Safely 00:38:00 Assignment Assignment - Kitchen Gardening 00:00:00
GRAPHIC FACILITATION – AN INTRODUCTION
By Inclusive Solutions
This day will introduce you to the basic techniques and skills involved in doing graphic facilitation. Learn how to use a BIG piece of paper and a handful of pens to create a memorable summary of your training day, team meeting or your work with young people and families. Learn how to harvest the essence of an event in a visual representation. This is a ‘hands on’ interactive day built around demonstrations of graphic facilitation, coaching and the chance to try things out. Ideal for teams who can then go on together to practice, practice, practice. Learning Objectives To introduce you to the basic skills of graphic facilitation – no previous experience is needed To develop your capacity to ‘listen under the words’ and draw out the deeper messages To help you suspend your self-doubt – “I can’t draw!” and rediscover your capacity to create an effective visual representation of a meeting/training day/conversation etc Course Content The day will introduce you to the fundamentals of graphic facilitation and will include the following topics: Pens, Pastels and Paper – what you will need to get started The basic ‘grammar’ of graphic facilitation; the essential shapes, using colour, images, lettering, words, creating connection How to listen for the essence of what is being said and translate this into visual language A chance to do it live – with coaching
Kitchen Gardening and Reproduction in Flowering Plants - QLS Certificate
By Imperial Academy
Level 3 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access
Mature Field Development and Management
By EnergyEdge - Training for a Sustainable Energy Future
About this training Mature fields differ from green field developments in that major infrastructure is in place, static reservoir data has accumulated from development drilling and a growing volume of production and processing performance data has become available. Decisions therefore relate to incremental projects, which may be small in scope and are often economically marginal. A firm understanding of the technical fundamentals associated with reservoir, wells and surface facilities is therefore required to make quality decisions in this environment, supported by realistic uncertainty ranges, and consistent application of incremental project economics and risk analysis. Various strategies may be considered to manage the mature asset, from harvest to divest, and the selected incremental activities should support a clear chosen strategy. Training Objectives Upon completion of this course, participants will be able to: Characterize the overall challenges associated with mature field developments Evaluate critical insights from subsurface data and apply this to modelling options and recovery methods Assess associated well data, typical late life issues and drilling and completion options for mature developments Manage the role of risk and uncertainty when making mature field development planning decisions Prepare a strategy and implementation plan Target Audience The course is intended for individuals who play a part in evaluating, screening and maturing oil and gas field development opportunities. The following personnel will benefit from the knowledge shared in this course: Petroleum engineers Geoscientist Facilities engineers Commercial staffs Reservoir engineer Production engineer Drilling engineer Project manager Asset manager Field engineer Exploration manager Course Level Basic or Foundation Trainer Your expert course leader, boasts nearly four decades of experience in the upstream oil & gas industry. He began his career in the back in 1982, spending 13 years with Shell International across several global locations. During his tenure, he served primarily as a reservoir engineer, contributing to exploration prospect evaluation, field development planning, corporate business planning, and drilling operations. Throughout his career, he has executed a diverse range of reservoir engineering projects for multiple UK and international firms, and has successfully led several PE study teams. Furthermore, he has continuously provided reservoir engineering and commercial training to oil company staff on a national and international scale. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations
How Daring to Dialogue Improves Performance and Creates a Culture of Agility
By IIL Europe Ltd
How Daring to Dialogue Improves Performance and Creates a Culture of Agility The single greatest predictor of success is the way we are having or not having conversations, and if we can learn to be more intentional in how we invite, cultivate, participate, and facilitate conversations there will not be any challenge that an organization cannot skillfully navigate in order to produce effective outcomes. But what if our conversations are stuck or ineffective? What if conversations break down instead of generating new collective thinking? We'll look at conversations and how to use the structure of the conversations to harvest the intelligence that already exists, and the daring role leaders play in creating a space for dialogue in order to greatly change the nature of the discourse. Key Takeaways include: Four actions that everyone can take to foster better conversations Understand the impact of monologue vs dialogue on culture Three ways for leaders to engage in better dialogue starting today
Elevate your gardening expertise with our comprehensive Gardening Diploma Level 3 program. Unlock advanced horticultural skills, master landscape design, and cultivate a deep understanding of plant biology. Enroll now to sow the seeds of your botanical success and harvest a flourishing career in the world of gardening.
