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Explore the world of cartography with the QGIS Cartography course. Uncover the power of Geographic Information Systems (GIS) and learn to create visually compelling maps. Delve into sections covering labels, symbology, base layers, and project setup. Discover techniques for styling water and land elements, and access valuable resources to enhance your cartography skills. Learning Outcomes: Understand the fundamentals of cartography and Geographic Information Systems (GIS). Learn to effectively label features on maps for clarity and readability. Explore various symbology techniques to visualize data and convey information. Create and customize base layers to provide context to your maps. Set up projects in QGIS, including organizing data and defining map layouts. Develop skills in styling water elements to enhance map aesthetics. Master the art of land styling, emphasizing topography and terrain representation. Access additional resources to expand your knowledge and cartographic expertise. Why buy this QGIS Cartography?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the QGIS Cartography you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This QGIS Cartography course is ideal for GIS enthusiasts interested in mastering cartographic techniques. Geographers, urban planners, and environmental scientists seeking to enhance their mapping skills. Professionals involved in spatial data visualization and analysis. Students and researchers in fields related to geography, geospatial sciences, and urban planning. Prerequisites This QGIS Cartography was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path GIS Analyst - Average Earnings: £25,000 - £40,000 per year. Cartographer - Average Earnings: £25,000 - £35,000 per year. Geospatial Data Specialist - Average Earnings: £30,000 - £45,000 per year. Urban Planner - Average Earnings: £25,000 - £40,000 per year. Environmental Scientist - Average Earnings: £25,000 - £40,000 per year. Course Curriculum Section 01: Introduction Introduction 00:01:00 Section 02: Labels Labeling Basics 00:03:00 Labeling - Text Properties 00:02:00 Label Formatting 00:06:00 Label Buffers 00:04:00 Labels - Backgrounds 00:03:00 Label Shadows 00:03:00 Labeling Callouts (Leader Lines) 00:03:00 Labels - Placement 00:04:00 Labels - Rendering 00:05:00 Labeling Over Orthos 00:06:00 Fine Tuning Labels 00:03:00 Section 03: Symbology Styling Single Points Lines and Polygons 00:11:00 Styling Categorical Data 00:08:00 Styling Graduated Data 00:04:00 Shapeburst Fills 00:03:00 Texture Fills 00:04:00 Inverted Polygons 00:03:00 Advanced Lines 00:08:00 Section 04: Base Layers XYZ Tile Basemaps 00:04:00 Getting Data from the OSM Website 00:07:00 Getting Basemaps from the QuickMapServices Plugins 00:05:00 Getting OSM Data with Overpass Turbo 00:06:00 Rule Based Symbology 00:10:00 Rule Based Labeling 00:03:00 Bringing in Mapbox Baselayers (an Introduction) 00:13:00 Natural Earth Data 00:07:00 Section 05: Project Setup Setting Up a Page Layout 00:14:00 Layout Templates 00:05:00 Creating Map Grids (Lat & Long Graticules) 00:08:00 Inset or Overview Maps 00:05:00 Global Overview Maps 00:05:00 Adding a Legend 00:07:00 Adding Text to a Layout 00:03:00 Adding Images 00:05:00 Section 06: Water Styling Coastal Glow Effect 00:03:00 Concentric Water Lines (Equally Spaced) 00:05:00 Concentric Water Lines (Variably Spaced) 00:08:00 Half Tone Coastal Fill Pattern 00:06:00 Section 07: Land Styling Getting DEMs from USDA/NRCS 00:08:00 Creating Contour Lines from DEMs (in Feet and Meters) 00:11:00 Labeling Contour Lines 00:06:00 Drop Shadowing Polygon Features 00:03:00 Section 08: Resources Resources - QGIS Cartography 00:00:00 Assignment Assignment - QGIS Cartography 00:00:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Flutter & Dart Development Course Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Flutter & Dart Development Course Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Flutter & Dart Development Course Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Flutter & Dart Development Course Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Flutter & Dart Development Course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Flutter & Dart Development Course there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Flutter & Dart Development Course course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Flutter & Dart Development Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Flutter & Dart Development Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Flutter & Dart Development Course is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Introduction 00:02:00 Setup On Windows 00:16:00 Setup On Linux 00:14:00 Setup On Mac iOS 00:14:00 Setup On Mac Android 00:12:00 App Base Code 00:03:00 Section 02: Widgets Text 00:04:00 Container 00:04:00 Row 00:05:00 Column 00:02:00 Stack 00:02:00 Image 00:06:00 Center 00:02:00 Padding 00:03:00 Align 00:02:00 Constrained Box 00:03:00 Baseline Class 00:03:00 Aspect Ratio 00:03:00 Sized Box 00:02:00 Transform 00:03:00 Section 03: Gestures Pointers 00:06:00 Tap 00:02:00 Double Tap 00:02:00 Long Press 00:03:00 Vertical Drag 00:04:00 Horizontal Drag 00:04:00 Pan 00:04:00 Section 04: Navigation Components Scaffold 00:06:00 App bar 00:05:00 Bottom Navigation Bar 00:08:00 TabBar View 00:07:00 Drawer 00:05:00 SliverApp Bar 00:07:00 Section 05: Input/Selection Components FlatButton 00:04:00 RaisedButton 00:03:00 DropdownButton 00:09:00 TextField 00:04:00 CheckBox 00:06:00 Radio Button 00:04:00 PopupMenuButton 00:07:00 IconButton 00:04:00 ButtonBar 00:03:00 Floating Action Button 00:04:00 Switch 00:04:00 Slider 00:05:00 Date Picker 00:05:00 Time Picker 00:07:00 SimpleDialog 00:08:00 AlertDialog 00:06:00 BottomSheet 00:06:00 Expansion Panel List and Expansion Panel 00:07:00 SnackBar 00:07:00 Cupertino Setup 00:02:00 Cupertino Action Sheet 00:06:00 Cupertino Activity Indicator 00:01:00 Cupertino Alert Dialog 00:04:00 Cupertino Button 00:03:00 CupertinoPageScaffold 00:04:00 CupertinoPicker 00:04:00 CupertinoPopupSurface 00:04:00 CupertinoSegmentedControl 00:04:00 CupertinoSlider 00:04:00 CupertinoSwitch 00:03:00 CupertinoNavigationBar 00:04:00 CupertinoTabBar 00:05:00 CupertinoTabScaffold 00:04:00 CupertinoTextField 00:04:00 Section 06: Information Displays Icons 00:04:00 Chip 00:03:00 Tooltip 00:02:00 DataTable 00:09:00 Card 00:06:00 Linear Progress Indicator 00:03:00 Circular Progress Indicator 00:04:00 Section 07: Layout GridView 00:03:00 ListView & ListTile 00:04:00 Stepper & Step 00:07:00 Divider & divideTiles 00:05:00 Aligning Widgets 00:03:00 Sizing Widgets 00:03:00 Sizing Widgets 00:03:00 Add, Update and Delete Widgets 00:06:00 Section 08: Navigation & Routing Navigate To A New Screen and Back 00:06:00 Multiple Files For Each Screen 00:03:00 Send Data To A New Screen 00:05:00 Return Data From A Screen 00:05:00 Navigate With Named Routes 00:03:00 Animating A Widget Across Screens 00:02:00 Stateless vs Stateful Widgets 00:08:00 Section 09: Animation Tween Animation 00:07:00 Staggered Animation 00:04:00 Reverse and Stop Animations 00:02:00 Section 10: Platform Specific Code Call Android Java Code 00:08:00 Send Parameters To Android Java Code 00:07:00 Call Android Kotlin Code 00:08:00 Send Parameters To Android Kotlin Code 00:05:00 Call iOS Objective-C Code 00:10:00 Send Parameters To iOS Objective-C Code 00:05:00 Call iOS Swift Code 00:08:00 Send Parameters To iOS Swift Code 00:05:00 Section 11: Building & Releasing Remove Debug Badge 00:01:00 Build & Release For Android 00:04:00 Build & Release For iOS 00:06:00 Section 12: Networking Fetch Data From The Internet 00:13:00 Making authenticated requests using HTTP Headers 00:03:00 Parsing JSON In The Background 00:17:00 Working With WebSockets 00:10:00 Section 13: Data Persistence Reading & Writing Files On The Server Using SQL Injection Vulnerability 00:06:00 Storing Key-Value Data On Disk 00:03:00 Data Persistence Using SQLite 00:04:00 Section 14: Creating An App Calculator Part 1 - TabBar Creation 00:12:00 Calculator Part 2 - Implementing The Tabs 00:05:00 Calculator Part 3 - Tab Persistence 00:03:00 Changing Android App Icon 00:05:00 Changing iOS App Icon 00:01:00 Change App Display Name 00:05:00 Assignment Assignment - Flutter & Dart Development Course 00:00:00

In this Advanced Diploma in User Experience UI/UX Design course, you will learn everything you need to know to become an expert UI/UX designer. We will start by teaching you the basics of UX and UI design and then move on to more advanced topics like wireframing prototyping, and usability testing. We will also teach you how to use Adobe XD, a powerful design tool professionals use worldwide. UI/UX design is the process of creating products that are user-centred. It is all about understanding user demands and building goods to fulfil those goals. This User Experience Design course will begin with an overview of the web industry, with an emphasis on essential concepts and trends. You will then learn about the fundamentals of graphic design, understanding the principles and techniques that underpin visually appealing designs. You will explore the exciting world of UX design with a solid foundation, concentrating on building user-centred experiences that meet users' requirements and aspirations. The course will also teach you how to integrate your UX design thoughts into aesthetically appealing user interfaces. To bring your ideas to life, you will use Adobe XD, a sophisticated design tool. You will find optimisation tactics along the way to improve the performance and usability of your designs. Furthermore, this course offers useful insights on how to begin a career in UI/UX design, as well as resources and support to help you excel in the sector. Practical assignments will allow you to put your newly learned abilities to use and receive feedback, ensuring that you obtain experience throughout your learning journey. Join us in the User Experience Design from A-Z: Adobe XD UI/UX Design course to realise your full potential as a UI/UX designer. Begin by developing memorable and user-friendly digital experiences that engage users and create a lasting impression. Enrol now and start your path to a successful career in UI/UX design! Learning Outcomes: Upon completion of the User Experience Design course, you will be able to: Understand the main concepts and trends in the web industry. Apply the principles of graphic design to create visually appealing designs. Properly design user-centred experiences that meet users' needs and goals. Translate UX design concepts into visually engaging user interfaces. Utilise Adobe XD to bring your designs to life with interactive prototypes. Optimise designs for improved performance and usability. Gain valuable insights and resources for starting a career in UX/UI design. Who is this course for? This User Experience Design course is ideal for: Beginners interested in entering the UX/UI design field. Graphic designers looking to expand their skill set into UX/UI design. Web designers seeking to enhance their understanding of user experience. Product managers and developers aiming to collaborate effectively with designers. Individuals passionate about creating intuitive and impactful digital experiences. Career Path  Our course will prepare you for a range of careers, including: Junior UX/UI Designer: £25,000 - £40,000 per year. UX/UI Designer: £35,000 - £70,000 per year. Senior UX/UI Designer: £50,000 - £100,000 per year. UX/UI Design Lead: £80,000 - £90,000 per year. UX/UI Design Manager: £95,000 - £120,000 per year. UX/UI Design Director: £120,000+ per year. Certification After studying the course materials of the Advanced Diploma in User Experience UI/UX Design there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Prerequisites This Advanced Diploma in User Experience UI/UX Design does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in User Experience UI/UX Design was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Course Curriculum UX/UI Course Introduction Learn UX/UI Course Overview 00:05:00 Section Overview 00:04:00 UX vs UI 00:04:00 UX/UI Designer Marketplace 00:05:00 Overview of UX Roles 00:06:00 Introduction To The Web Industry Web Industry Section Overview 00:03:00 The Phases of Web Development 00:13:00 Designer Responsibilities (working in a team) 00:09:00 Roles & Descriptions (working in a team) 00:05:00 Agile Approach To Project Management 00:12:00 Scrum - Flexible Framework 00:06:00 Project Management Apps 00:13:00 XD Lesson - Introduction 00:13:00 Foundations of Graphic Design Graphic Design Section Overview 00:02:00 The Psychology of Color 00:13:00 Color Wheel & Color Schemes 00:06:00 Working with Fonts 00:10:00 Working With Icons 00:04:00 XD Lesson - Tools, Object Manipulation and Components 00:13:00 XD Lesson - Font Styles and Artboard Settings 00:07:00 Graphic Design Software Tools 00:03:00 Adobe XD lesson 4 - Icons & Vector Graphics 00:14:00 UX Design (User Experience Design) UX Design Section Overview 00:04:00 What is User Experience Design? (UX) 00:09:00 UX Design Process 00:03:00 The UX Analysis Process 00:08:00 Working with User Profiles 00:03:00 Understanding User Pain Points 00:03:00 XD Lesson 5 Class Project: Сompetitive Analysis 00:10:00 Developing a Persona Part 1 00:05:00 Developing a Persona Part 2 00:05:00 Customer Journey 00:04:00 Customer Journey vs Sales Funnel 00:04:00 3 Phases of a Sales Funnel 00:07:00 4 Stages of a Sales Funnel 00:06:00 Macro/Micro Conversions 00:05:00 Stages of Market Sophistication 00:06:00 Lead Generation Funnel 00:06:00 Digital Product Sales Funnel 00:05:00 7 Principles of Influence 00:12:00 Age Based Influence Triggers 00:06:00 Gender Influence Triggers 00:06:00 Interest Based Marketing 00:04:00 Understanding User Flow 00:08:00 XD Lesson 6 Class Project: Userflow - Your first UX deliverable 00:07:00 Working with Story Boards 00:05:00 XD Lesson 7 Class Project: Crafting a Story board 00:09:00 Working with Moodboards 00:04:00 XD Lesson 8 Class Project: Creating Moodboard 00:11:00 Sitemap & Information Architecture 00:07:00 XD Lesson - Class Project: App Architecture 00:09:00 Low and Hi Fidelity Wireframes 00:03:00 XD Lesson - Class Project: Login Screen Wireframe Using Material Design 00:08:00 Working with Prototypes 00:04:00 XD Lesson - Class Project: Home Screen Wireframe and Linking 00:07:00 XD Lesson - Class Project: Adding Interaction to Wireframes 00:10:00 Testing and Evaluating 00:11:00 UX Deliverables 00:03:00 UX Design Conclusion 00:01:00 UI Design (User Interface Design) UI Design Section Overview 00:03:00 UI Design Overview 00:03:00 Types of Interfaces 00:10:00 Landing Pages Overview 00:10:00 XD Lesson - Using Grids in XD 00:08:00 XD Lesson - Single Card design 00:13:00 UI Controls 00:07:00 UI Navigational Components 00:12:00 Header Design Overview 00:07:00 XD Lesson - Mobile & Desktop: Header Design 00:10:00 XD Lesson - Mobile & Desktop: Dropdown Design 00:06:00 Common Layouts Overview 00:08:00 XD Lesson - Common Layouts 00:07:00 Mobile & Desktop Footer Design Overview 00:07:00 XD Lesson - Mobile & Desktop: Footer Design 00:06:00 Mobile & Desktop Button Design Overview 00:05:00 XD Lesson - Mobile & Desktop: Button Design 00:10:00 XD Lesson - Mobile & Desktop: Input Design 00:07:00 Mobile & Desktop Filter Search Bar Design Overview 00:06:00 Adobe XD Lesson - Mobile & Desktop: Filter Design 00:07:00 Adobe XD Lesson - Mobile & Desktop: Search Design 00:03:00 UI Kit Overview 00:05:00 Adobe XD Lesson - Desktop and Mobile: UI Kit 00:06:00 Microinteractions Overview 00:05:00 Adobe XD lesson - Microinteractions 00:07:00 Optimization Optimization Section Overview 00:02:00 Feedback Review & Getting Referrals 00:04:00 'Above the Fold' Rule 00:04:00 Adobe XD lesson - Designing a Powerful Above the Fold 00:08:00 Using Analytics For Optimization 00:05:00 Heat Maps & Element Placements 00:04:00 Crafting A Usability Report Overview 00:08:00 Adobe XD lesson - Crafting Reports in XD 00:20:00 Starting a Career in UX/UI Design Careers in UX/UI Section Overview 00:06:00 Your Daily Productivity Hub 00:14:00 How To Start Freelancing 00:08:00 Client Consulting 00:04:00 Building a Brand 00:10:00 Personal Branding 00:06:00 The Importance of Having a Website 00:08:00 Creating a Logo 00:05:00 Step by Step Website Setup 00:17:00 UI Templates 00:06:00 Logo Templates 00:04:00 Creating a Business Email 00:06:00 Networking Do's and Don'ts 00:04:00 Top Freelance Websites 00:10:00 UX/UI Project Scope Questions 00:10:00 Laser Focus & Productivity Tools 00:06:00 The Places to Find UX Jobs 00:05:00 Resources Resources - Advanced Diploma in User Experience UI/UX Design 00:00:00 Assignment Assignment - Advanced Diploma in User Experience UI/UX Design 00:00:00

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum 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 Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

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.

This is an accredited course with the International practitioners of Holistic medicine for women personally or professionally to transform their life. Relax, be calm, you've got this!