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Special Education Needs: Special Education Needs (SEN) Online Special Education Needs: Special Education Needs (SEN) course refers to children who have learning disabilities or issues that make it difficult for them to learn compared to other children of the same age. Specially designed institutes and learning environments are made available to students with special education needs in order to assist them in overcoming their learning disabilities and achieving success. A career in the SEN field may be ideal for those who enjoy working with and assisting children with learning disabilities. Many children will require special education needs at some point during their academic years. As a result, a career in the SEN field can be both rewarding and progressive. Why choose this Special Education Needs: Special Education Needs (SEN) course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the course. This exclusive Special Education Needs: Special Education Needs (SEN) course is designed to provide you with the knowledge and skills required for a career in special education. This diploma will teach you everything you need to know about SEN and its importance in society. You will learn about the various ways in which schools provide services to children with special needs. You will also gain a thorough understanding of a SENCO's roles and responsibilities. This diploma will further educate you on behavioural issues and common SEN conditions found in schools. Main Course: Special Education Needs (SEN) Course Free Courses: Course 01: Speech & Language Therapy Course 02: Level 2 Safeguarding Children Training [ Note: Free PDF certificate as soon as completing Special Education Needs: Special Education Needs (SEN) Course] Special Education Needs: Special Education Needs (SEN) Online Course Curriculum of Special Education Needs: Special Education Needs (SEN) Module 01: Introduction Module 02: A Quick Overview of the New SEND Code of Practice Module 03: Legislation Related to SEN Module 04: SEN Assessments and Descriptors Module 05: Education for Children with Disabilities Module 06: Common SEN Conditions Found Within Mainstream Schools Module 07: Assessment and Planning for Children with Special Educational Needs Module 08: The Broader Children’s Workforce Associated with Special Education Needs Provisions Module 09: Working with Other Professionals and Other Sources of Support and Information Certification of Special Education Needs: Special Education Needs (SEN) After completing the Special Education Needs: Special Education Needs (SEN) course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Assessment Method of Special Education Needs: Special Education Needs (SEN) After completing Special Education Needs: Special Education Needs (SEN) Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Who is this course for? Special Education Needs: Special Education Needs (SEN) Online This Special Education Needs: Special Education Needs (SEN) course is ideal for anyone who wants to learn more about Special Education Needs (SEN). However, this diploma will primarily benefit job seekers seeking a career in the SEN Field as well as employees in the SEN field, including: Teachers SEN Counsellors Parents with Special Needs Children Behavioural Analysts Requirements Special Education Needs: Special Education Needs (SEN) Online To enrol in this Special Education Needs (SEN) Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Special Education Needs: Special Education Needs (SEN) Course. Be energetic and self-motivated to complete our Special Education Needs: Special Education Needs (SEN) Course. Basic computer Skill is required to complete our Special Education Needs: Special Education Needs (SEN) Course. If you want to enrol in our Special Education Needs (SEN) Course, you must be at least 15 years old. Career path Special Education Needs: Special Education Needs (SEN) Online

Are You Ready to Leverage Your PM and BA Skills and Become a BRM Are You Ready to Leverage Your PM and BA Skills and Become a BRM As Project Managers and Business Analysts progress in their careers, there is a natural tendency to wonder what comes next. Questions such as 'How do I get to the next level?' or 'What IS the next level?' are common. In this presentation you will be introduced to Business Relationship Management. You'll learn how you can leverage your Project Management and Business Analysis skills to assume a leadership position as a service-focused, value-driven Business Relationship Manager in your organization in order to 'get to the next level' in your career. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

The Mindset, Culture, and Muscles Of Business Agility The world is changing more rapidly than ever before. Organizations of every size are overwhelmed by the pace of change and are being constantly challenged to understand & react to the major disruptions in the marketplace and in their organizations. High-performing and adaptable organizations that leverage, lead, and thrive in this ambiguous and unpredictable market will be in the best position to win with their customers. We call this business agility; the set of organizational capabilities, behaviors, and ways of working that affords your business the freedom & flexibility to achieve its purpose - no matter what the future brings. In this talk, Ahmed Sidky will highlight the mindset and culture necessary to endure the journey of improving your company's Business Agility. Business Agility is not something an organization has or doesn't, it is more like fitness or athletic performance, your organization can increase its agility with intentional, deliberate, and disciplined effort. So using the Domains of Business Agility (published by the Business Agility Institute) Ahmed will explain the 12 different muscles that an organization needs to exercise in order to increase its agility. What You Will Learn: A deeper understanding of agility as it pertains to the entire organization not just a project delivery framework The essential relationship between business agility and customer-centricity 12 key areas of focus to increase business agility - grouped into 4 groups (Leadership, Individuals, Operations and Enablers) People are the most powerful and agile part of any organization. People ignite and sustain business agilit

Toyota Kata - What is it. Where Might it Fit. and Why? Future solutions are getting less and less likely to be ones we've used before. And even if we can draw on 'experience', it may represent the lowest form of innovation which may not be good enough; we are limiting ourselves to only what we know now.Agile is about mindset, not about process. Mindset can support agile behaviors or can hinder them. Improvement exercises involve multiple people or groups working on different parts of the puzzle; how they understand customer needs and how they collaborate to create a cohesive whole can greatly influence success. So the most important question becomes, 'How might we develop an Agile mindset?'The connection between Agile and Toyota Kata is intriguing. When you look into why, it's actually quite plain and simple. Further, when you have an understanding of Toyota Kata, how it came about and why, then its potential value to those adopting Agile shines through even more so. You will recognize the potential of the 2 unintentionally hidden managerial routines at Toyota from which 'Toyota Kata' was born."One of the best, compact introductions to Toyota Kata that I've seen!" (Quote by Mike Rother, author of 'Toyota Kata', following a presentation by Oscar in Austin TX in Feb 2020.) In this session you will: See the connection between Agile and Toyota Kata and their common ancestry See why the most success in the future will come to those who can rapidly adapt and innovate Understand that a concept or model alone generally won't change behaviors (and why), but a practice routine will Understand the 2 'Kata' patterns and get a feel for how you can start your application of them, one in particular

Toyota Kata - What is it. Where Might it Fit. and Why? Future solutions are getting less and less likely to be ones we've used before. And even if we can draw on 'experience', it may represent the lowest form of innovation which may not be good enough; we are limiting ourselves to only what we know now.Agile is about mindset, not about process. Mindset can support agile behaviors or can hinder them. Improvement exercises involve multiple people or groups working on different parts of the puzzle; how they understand customer needs and how they collaborate to create a cohesive whole can greatly influence success. So the most important question becomes, 'How might we develop an Agile mindset?'The connection between Agile and Toyota Kata is intriguing. When you look into why, it's actually quite plain and simple. Further, when you have an understanding of Toyota Kata, how it came about and why, then its potential value to those adopting Agile shines through even more so. You will recognize the potential of the 2 unintentionally hidden managerial routines at Toyota from which 'Toyota Kata' was born."One of the best, compact introductions to Toyota Kata that I've seen!" (Quote by Mike Rother, author of 'Toyota Kata', following a presentation by Oscar in Austin TX in Feb 2020.) In this session you will: See the connection between Agile and Toyota Kata and their common ancestry See why the most success in the future will come to those who can rapidly adapt and innovate Understand that a concept or model alone generally won't change behaviors (and why), but a practice routine will Understand the 2 'Kata' patterns and get a feel for how you can start your application of them, one in particular

Compass for Agility - Leveraging Agility for Business Problem-Solving Join Leila Rao as she introduces the Compass for Agility. This 90-day iterative approach is a pragmatic and personalized method, enabling organizations to build the capacity and culture for responding to challenges and opportunities. This provides a structure for organizations to explore what'ss working and what isnTt in their ecosystem to successfully and sustainably build the capability for continuous learning and improvement. The Compass helps with addressing "wicked" business problems set apart by one key variation: agile is the how, not the "why". Enhancing business agility is a fortunate by-product of directly resolving pain points because agile serves as the means, not the end. Empower your organization to orient itself by its unique needs and values so that you can continually create customized maps as you chart your own journey in volatile and uncertain terrains.

Inspiring The Human-Centered Organization - Three Laws of Business Agility In his keynote, Steve Denning will take you along on his journey in which he first encountered the success of the agile approach in software development and witnessed how this innovative method slowly but surely became the norm in many large multinationals. As Steve got more involved in the agile method, he and other members of the SD Learning Consortium set out on a quest to find out what is real agile, and what is fake? What was successful, and what was not? They found that what was needed is an Agile Mindset. It's a different way of looking at, thinking about, understanding and interacting with the world. In relation to this mindset, they identified what he calls the 'Three Business Laws of Agile'. During his presentation, Steve will explain these laws in depth, helping you to understand how you too can adopt this Agile Mindset yourself. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.

Agile at Tesla - The Misinformation That You Can't Apply Agile to Hardware What is it like to work in 3 hour sprints? How does any company deploy 27 changes per week in hardware, or more? What is a team size like when you are moving that fast? What about certification, and how does testing fit in such short sprints? Key Takeaways: Learn how increase speed, quality, and efficiency at the same time. Understand how to increase happiness, willingness, respect, and enthusiasm in engineering and manufacturing culture. Find out about Joes complete New Product Development and New Product Introduction outline for agile hardware

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis 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 Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis 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 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 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

Overview This comprehensive course on Clinical Data Analysis with SAS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Clinical Data Analysis with SAS 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 Clinical Data Analysis with SAS. It is available to all students, of all academic backgrounds. Requirements Our Clinical Data Analysis with SAS 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 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 • 30 lectures • 01:54:00 total length •Course Promo: 00:01:00 •1.1 Components of the Pharma Industry: 00:05:00 •1.2 Phases of Clinical Trials: 00:06:00 •1.3 Data and Reports in Clinical Trials: 00:04:00 •1.4 Types of Data: 00:05:00 •2.1 Clinical Study Protocol: 00:02:00 •2.2 Ethical Consent: 00:01:00 •2.3 Inclusion-Exclusion Criteria: 00:01:00 •2.4 Statistical Analysis Plan: SAP, Mockshell and CRF: 00:04:00 •3.1 General SAS Programming Steps: 00:02:00 •3.2 One Search Report: Demographics Table: 00:04:00 •3.3 Understanding the Demographics Table: 00:03:00 •3.4 Programming the Demographics Table: 00:05:00 •3.5 Importing Raw Demographic Data into the SAS: 00:04:00 •3.6 Deciding what Procedure to Use: 00:02:00 •3.7 Deriving the AGE variable: 00:10:00 •3.8 Obtaining Summary Statistics for AGE: 00:04:00 •3.9 Adding the 3rd Treatment Group using Explicit Output: 00:05:00 •3.10 Deriving the SEX variable: 00:03:00 •3.11 Obtaining Summary Statistics for SEX: 00:03:00 •3.12 Concatenating the COUNT and PERCENT Variables: 00:03:00 •3.13 Deriving the RACE Variable: 00:03:00 •3.14 Obtaining Summary Statistics for RACE: 00:03:00 •3.15 Stacking All the 3 Summary Statistics Together: 00:06:00 •3.16 Fixing the Precision Points: 00:04:00 •3.17 Transposing Data: 00:03:00 •3.18 Fixing the Order of Statistical Parameters: 00:05:00 •3.19 Building the Final Report: 00:02:00 •3.20 Putting the Final Touches to the Report: 00:11:00 •Resources - Clinical Data Analysis with SAS: 00:00:00