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Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up 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 Essentials 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 Python for Data Analysis using NumPy 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 Python for Data Analysis using Pandas 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 Python for Data Visualization using matplotlib 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 Python for Data Visualization using Seaborn 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 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks 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 Capstone Project - Python for Data Analysis & Visualization 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 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model 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 Python for Machine Learning - scikit-learn - Logistic Regression Model 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 Python for Machine Learning - scikit-learn - K Nearest Neighbors 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 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests 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 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) 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 Python for Machine Learning - scikit-learn - K Means Clustering 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 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) 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 Recommender Systems with Python - (Additional Topic) 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 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) 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 Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 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.

In the first part of the workshop, Sophia will explain the brain processes during the creative process and Bianca will provide us with practical tips by introducing us to her Two Can Do Method which is also based on neuroscience and other disciplines.

What is dance psycholgy? Why does it matter? And what you as a dancer, dance teacher should defintely know about it to better improve mental well-being? All these questions will be answered in this workshop who will introduce you to dance psychology and its key aspects. The workshop will be recorded for those who cannot attend.

About Course ASP.NET Core MVC 6: Master the Latest Web Development Framework Become a full-stack web developer with this comprehensive course on ASP.NET Core MVC 6, taught by a lead instructor with 20+ years of experience. This course is designed for beginners with zero or basic programming experience. You will learn everything you need to know to build modern web applications with ASP.NET Core MVC 6, including: HTML5 and CSS3 Bootstrap 4 C# ASP.NET Core MVC 6 Entity Framework Core SQL Server Express You will also learn about important web development concepts such as routing, controllers, views, and models. The course includes HD video tutorials, code challenges, and coding exercises to help you learn and practice the material. You will also build a real-world project to apply your skills. By the end of this course, you will be fluent in ASP.NET Core MVC 6 and ready to build any website you can dream of. Enroll today and start your journey to becoming a full-stack web developer! Benefits of taking this course: Learn from a lead instructor with 20+ years of experience Become a full-stack web developer with just one course Learn the latest tools and technologies used at large companies such as Apple, Facebook, Google, and Netflix Get comprehensive student testing and feedback from students who are working and applying these coding examples Learn by building real-world websites and web apps Get access to HD video tutorials, code challenges, and coding exercises Target audience: Beginners with zero or basic programming experience who want to learn how to build modern web applications with ASP.NET Core MVC 6 What Will You Learn? Learn structure of ASP .NET MVC Core (.NET 6) Project Create websites and webapp for your business needs Get a job as a junior web developer on Microsoft technologies Identify a case study to manage a project development Master front-end development using HTML & CSS back-end development using C# & MS SQL Create fully function dynamic MVC Core web applications using Asp .NET Core Creating Functional Model, View and Controller functionality on Movie Project Learn to Add Entity Framework Packages to Project Using NuGet Package Manager Applying SQL Server Database Connection to your application Running Power Shell Commands for Scaffolding and CRUD function Webforms Identify and applying Database Migrations You will learn fully functional Validations for your project Course Content Getting Started Course Introduction Course Curriculum How to Get Course Requirements Getting Started on Windows, Linux or Mac How to Ask Great Questions FAQ's ASP.NET Basics Section Introduction What You Can Build with ASP.NET Core What is ASP.NET Core How to Get Visual Studio Installing Visual Studio and ASP.NET Creating New Project Summary Prerequisites: HTML, CSS and Bootstrap Section Introduction HTML Overview Paragraph HTML List Items Forms CSS Overview CSS Internal CSS External CSS Forms Bootstrap Overview First Bootstrap Website Bootstrap Grids System Bootstrap Cards Summary ASP.NET MVC: Movie Project Section Introduction Source Code Reference MVC - Model View Controller Create a MVC Project Exploring the MVC Template Creating Controller Add a Controller URL Routing Logic Creating View Add a View Change Views and Layout Pages Passing Data from Controller to View Creating Model Add a Model Add Entity Framework Packages Scaffold Movie Pages-CRUD Database Migrations Initial Migration Generated Database Context Class Dependency Injection Database Connection String Summary Working with Database Section Introduction SQL Server Express Local DB Seed the Database Add the Seed Initializer Summary Add Search to ASP.NET Core MVC App Section Introduction Add Search Method to Controller Add Search to Page Search by Parameter Summary Model Update Section Introduction Add a New Field to Model Add-Migration Update Database Summary Validations Add Validation Rules to Model Required and Minimum Length Regular Expression Range String Length Validation on Error UI Enable JavaScript on Browser Examine the Details and Delete Code Review on Details Method Code Review on Delete Method Course Files and Resources Course Files and Resources A course by Sekhar Metla IT Industry Expert Xpert Learning RequirementsBasic C# programming experience needed(optional). You will learn MVC Core need to knowNo software is required in advance of the course (all software used in the course is free)No pre-knowledge is required on MVC - you will learn from basic Audience Beginner Asp .Net MVC Core C# coding, Microsoft SQL and CSS developers curious about web development Anyone who wants to generate new income streams Anyone who wants to build dynamic web applications Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer Anyone who wants to build fully functional asp .net core mvc database applications Audience Beginner Asp .Net MVC Core C# coding, Microsoft SQL and CSS developers curious about web development Anyone who wants to generate new income streams Anyone who wants to build dynamic web applications Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer Anyone who wants to build fully functional asp .net core mvc database applications

Syllabus: Holistic Protection and Energetic Practices Course Overview This course introduces essential spiritual practices for grounding, protection, and clearing. These skills create a foundation for personal and energetic stability, enhancing focus, clarity, and resilience. Through visualisation, meditation, and energy exercises, students will develop a profound understanding of grounding techniques, protective boundaries, and clearing practices.  Module 1: Grounding - Core Techniques: Visualise roots or boulders for grounding; use the tree visualisation for strength. - Daily Application: Practical tips for staying present and connected. - Reflection: Journaling prompts to track emotional and physical responses. Module 2: Protection - Creating Boundaries: Use protective visualisations like light shields and cloaks. - Protective Tools: Elemental circles, crystals (e.g., black tourmaline), and symbols (Ankh, Eye of Horus). - Invocation Practices: Call upon Archangels and guides for energetic support. - Reflection: Journaling to observe the effects of protection techniques. Module 3: Clearing - Clearing Practices: Techniques for personal and environmental energy clearing. - Crystal Grids: Setup for maintaining energetic cleanliness. - Advanced Visualisations: Use the violet flame for thorough cleansing. - Reflection: Journaling on the experience of clearing exercises.

Elevate your teaching career with the Focus Awards Level 3 Award in Education and Training (RQF). This course equips you with vital skills in understanding educational roles, implementing inclusive teaching methods, and conducting effective assessments. Delve into a wealth of learning resources, from self-assessment grids to video tutorials, and enhance your teaching prowess. Whether you're a novice educator or a seasoned professional, this course empowers you to excel in the ever-evolving field of education and training. By the end, you'll have the confidence and competence to create an inclusive and engaging learning environment that fosters student success. Learning Outcomes Develop effective communication skills with children, young people, and adults. Understand the organisational structure and functions of schools. Gain insights into child and young person development. Learn how to safeguard the well-being of children and young people. Why Choose Focus Awards? Choosing Focus Awards for your educational and training programs provides several significant benefits. As an accrediting body overseen by Ofqual, their certifications are widely recognized both nationally and globally, guaranteeing you are held to the highest educational standards. Focus Awards is a dynamic choice for a relevant and unique learning experience because of its commitment to professionalism, rapid expansion, and numerous qualification offerings. Choosing Focus Awards improves your professional chances, personal development, and educational accomplishments. Benefits you will gain Benefits you will enjoy include: Access to top-notch virtual learning resources. Round-the-clock availability of course modules. An intuitive and user-friendly online platform. Adherence to established standards. A qualification that holds recognized value. Outstanding customer service support. Guided Learning Hours Guided Learning Hours (GLH) encompass all instances of direct interaction, support, or supervision provided to learners by educators, tutors, trainers, or accredited education/training providers. For this qualification, the specified Guided Learning Hours total 48 hours. Total Qualification Time The Total Qualification Time (TQT) encompasses both guided learning hours (GLH) and an estimate of the hours a student is anticipated to commit to independent preparation, study, and other-directed learning activities, including assessments not under direct supervision. Qualification credit values are based on TQT, where one credit corresponds to 10 hours of learning. For this particular qualification, the Total Qualification Time is established at 120 hours. Method of Assessment The method of assessment for this course comprises written assignments and microteaching sessions. Specifically, in Unit 2, learners are required to engage in a one-hour micro teaching activity. Within this session, each learner must deliver a 15-minute teaching session, which will be observed and assessed by a tutor. Following their own presentation, learners have the option to either conduct additional microteaching sessions or observe their peers for the remaining 45 minutes. It's important to note that all assignments must be submitted through an online platform, and simulating the qualification is strictly prohibited. Progression Upon successful completion of the qualification, learners can explore various pathways for advancement: Level 4 Certificate in Education and Training (CET): This program builds on the foundation of Level 3 AET and is crucial for those aspiring to take on more advanced teaching roles. Level 5 Diploma in Education and Training (DET): Equivalent to a foundation degree, this diploma offers a more profound insight into the nuances of teaching and learning. Specialised Teaching Qualifications: Tailor your expertise with options in areas such as literacy, numeracy, ESOL, or teaching learners with disabilities. Assessor and IQA Qualifications: Unlock assessment roles by acquiring Level 3 CAVA or Level 4 IQA qualifications. Continuous Professional Development (CPD): Stay current and improve your skills through workshops, conferences, and training opportunities. Higher Education: Consider pursuing a bachelor's degree or higher education for expanded career prospects in the field. Employment Opportunities: Apply for teaching positions within adult education settings after completing the Level 3 AET. Personalised Career Goals: Your progression path depends on your individual aspirations, subject interests, and preferred educational environments. Qualification Purpose The purpose of the Focus Awards Level 3 Award in Education and Training (RQF) is to enable learners to acquire a comprehensive understanding of the roles, responsibilities, and dynamics involved in the field of education and training. Who is this course for? Aspiring educators seeking formal training and certification. Practising teachers looking to enhance their teaching methodologies. Professionals transitioning into teaching roles. Educational support staff eager to broaden their skills. Requirements No specific qualifications or prior experience are necessary to enrol in the Focus Awards Level 3 Award in Education and Training (RQF) course. This course does not mandate a teaching placement and is accessible to individuals aged 19 years and above, provided they possess a minimum high school qualification. Career path Adult Education Teacher: £30,000 to £40,000 per year Corporate Trainer: £30,000 to £45,000 per year Community College Instructor: £35,000 to £50,000 per year Training Coordinator: £25,000 to £35,000 per year ESL (English as a Second Language) Instructor: £25,000 to £40,000 per year Assessor or Verifier: £25,000 to £35,000 per year Career Counsellor: £30,000 to £45,000 per year Note: There is No Registration, Assessment, Certification fee included with this price.