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By the end of this masterclass, you will have experinced a way to safely and effectively project your astral body, venturing into the realms of aether with both confidence and a heightened sense of self. The journey awaits, guiding you toward new levels of consciousness, connection, and the profound freedom of exploration beyond the physical

Ayurveda Diploma Course: Ayurveda Would you like to start a career as an ayurvedic doctor? Our Ayurveda Diploma Course will help you to achieve that success. The Ayurveda Diploma Course offers insights into traditional Indian holistic medicine. This Ayurveda Diploma Course emphasises balance and natural healing. Participants of the Ayurveda Diploma Course explore herbal remedies, dietary principles, and personalized health assessments. Our Ayurveda Diploma Course will help you to gain practical knowledge to integrate Ayurvedic practices into daily life. This Ayurveda Diploma Course provides valuable insights for a holistic approach to well-being based on ancient Ayurvedic wisdom. Unlock your potential with our special Ayurveda Diploma Course early! Learning Outcome of The Ayurveda Diploma Course After completing Ayurveda Diploma Course, you will know about: History, fundamentals and principles of Ayurveda Diploma Course. This Ayurveda Diploma Course teaches the Ayurvedic types, dietary guidelines and cure process. The Seven Chakras, Srota Pathways, The Seven Tissues (Dhatus) and Malas all are lesson modules of this Ayurveda Diploma Course. You will learn the subtle substances of immunity, Prakriti, Vakriti, and Ama from our Ayurveda Diploma Course. Ayurveda diet, optimal health and balancing doshas are also involved in this Ayurveda Diploma Course. Special Offers of this Ayurveda Diploma Course: Ayurveda Course This Ayurveda Diploma Course: Ayurveda Course includes a FREE PDF Certificate Lifetime access to this Ayurveda Diploma Course: Ayurveda Course Instant access to this Ayurveda Diploma Course: Ayurveda Course Get FREE Tutor Support to this Ayurveda Diploma Course: Ayurveda Course Ayurveda Diploma Course: Ayurveda Unlock the secrets of ancient healing with our Ayurveda Diploma Course: Ayurveda program, offering profound insights into traditional Indian holistic medicine. This Ayurveda Diploma Course: Ayurveda emphasizes natural healing and achieving balance in your body and mind. Through the Ayurveda Diploma Course: Ayurveda, you will explore the power of herbal remedies, dietary principles, and personalized health assessments. With practical knowledge gained from the Ayurveda Diploma Course: Ayurveda, you can seamlessly integrate Ayurvedic practices into your daily routine. Embrace a holistic approach to well-being with the Ayurveda Diploma Course: Ayurveda, rooted in timeless Ayurvedic wisdom for optimal health. Who is this course for? Ayurveda Diploma Course: Ayurveda Anyone can take this Ayurveda Diploma Course. Requirements Ayurveda Diploma Course: Ayurveda To enrol in this Ayurveda Diploma Course: Ayurveda Course, students must fulfil the following requirements. To join in our Ayurveda Diploma Course: Ayurveda Course, you must have a strong command of the English language. To successfully complete our Ayurveda Diploma Course: Ayurveda Course, you must be vivacious and self driven. To complete our Ayurveda Diploma Course: Ayurveda Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Ayurveda Diploma Course: Ayurveda Course. Career path Ayurveda Diploma Course: Ayurveda Your career can improve and you can become an expert in several disciplines with the certification and abilities you obtain from this Ayurveda Diploma Course.

This course teaches you data analysis and visualisation using the versatile R language. From understanding data structures to performing advanced statistical analysis, this course equips you with the skills to extract meaningful insights from complex datasets. This Course At A Glance Accredited by CPD UK Endorsed by Quality Licence Scheme Get a deep understanding of data science, the process and the toolbox Learn about R and Rstudio Get an introduction to the basic data types in R Learn to perform arithmetic calculations on vectors Understand what is a matrix and how to analyse it Know what is factors and how to summarise it Recognise how to create a data frame Get an understanding of the relational and logical operators Learn what is a conditional statement and how to implement the same Learn about loops, functions and R packages Understand data manipulation with dplyr Data Science Course with R Programming Course Overview This comprehensive data science with R programming course is specially designed for those who are willing to get a better understanding of R programming and data science to gain proficiency in the same. This online course will help you strengthen your knowledge of data science, R and Rstudio, basics, vectors and much more. This online data science with R programming course will also help you acquire knowledge about the Matrices, factors, data frame, list, logical and relational operations and conditional statements. You will also gain an understanding of the advanced features like loops, functions R packages, regular expressions, etc., to master R language and data science. By the end of the course, you will be able to write R programmes efficiently and be able to analyse data. You will also develop the skills to become a successful data scientist or data analyst after completing this course. Who should take this course? This comprehensive data science with R programming course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of R programming. Entry Requirements There are no academic entry requirements for this data science with r programming course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This data science with r programming course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Course Curriculum Data Science Overview Introduction to Data Science Data Science Career of the Future What is Data Science Data Science As a Process Data Science Toolbox Data Science Process Explained What's Next R and RStudio Engine and Coding Environment Installing R and RStudio RStudio a Quick Tour Introduction to Basics Arithmetic With R Variable Assignment Basic Data Types in R Vectors Creating a Vector Naming a Vector Arithmetic Calculations on Vectors Vector Selection Selection by Comparison Matrices What's a Matrix Analyzing Matrices Naming a Matrix Adding Columns and Rows to a Matrix Selection of Matrix Elements Arithmetic with Matrices Factors What's a Factor Categorical Variables and Factor Levels Summarizing a Factor Ordered Factors Data Frames What's a Data Frame Creating a Data Frame Selection of Data Frame Elements Conditional Selection Sorting a Data Frame Lists Why Would You Need Lists Creating a List Selecting Elements From a List Adding More Data to The List Relational Operators Equality Greater and Less Than Compare Vectors Compare Matrices Logical Operators AND, OR, NOT Operators Logical Operators with Vectors and Matrices Reverse The Result Relational and Logical Operators Together Conditional Statements The IF Statement IF…ELSE The ELSEIF Statement Loops Write a While Loop Looping with More Conditions Break Stop The While Loop What's a For Loop. Loop Over a Vector Loop Over a List Loop Over a Matrix For Loop with Conditionals Using Next and Break with For Loop Functions What Is a Function. Arguments Matching Required and Optional Arguments Nested Functions Writing Own Functions Functions with No Arguments Defining Default Arguments in Functions Function Scoping Control Flow in Functions R Packages Installing R Packages Loading R Packages Different Ways to Load a Package The Apply Family - Lapply What Is Lapply and When Is Used. Use Lapply with User-Defined Functions Lapply and Anonymous Functions Use Lapply with Additional Arguments The Apply Family - Sapply & Vapply What Is Sapply. How to Use Sapply. Sapply with Your Own Function Sapply with a Function Returning a Vector When Can't Sapply Simplify. What Is Vapply and Why Is It Used. Useful Functions Mathematical Functions Data Utilities Regular Expressions Grepl & Grep Metacharacters Sub & Gsub More Metacharacters Dates And Times Today and Now Create and Format Dates Create and Format Times Calculations with Dates Calculations with Times Getting and Cleaning Data Get and Set Current Directory Get Data From The Web Loading Flat Files Loading Excel Files Plotting Data in R Base Plotting System Base Plots Histograms Base Plots Scatterplots Base Plots Regression Line Base Plots Boxplot Data Manipulation With dplyr Introduction to dplyr Package Using The Pipe Operator (%>%) Columns Component Select() Columns Component Rename() and Rename_with() Columns Component Mutate() Columns Component Relocate() Rows Component Filter() Rows Component Slice() Rows Component Arrange() Rows Component Rowwise() Grouping of Rows Summarise() Grouping of Rows Across() Covid-19 Analysis Task Assessment Assessment - Data Science Course with R Programming Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Mental Health First Aid Online Course Enhance your skills with our comprehensive Mental Health First Aid Course, designed for mental health professionals and anyone seeking to provide immediate support during mental health crises. This course offers an in-depth exploration of mood disorders, personality disorders, and effective approaches to handling mental health emergencies. Gain valuable insights into mental health legislation, treatment options, and more, helping you stand out in the competitive job market or advance in your current role.

Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z 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 Data Science & Machine Learning with R from A-Z 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 Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z 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 Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00

This course first equips you with the fundamentals of Python and then progresses to teach you how to use various libraries such as NumPy, Pandas, Seaborn, Bokeh, and so on. This course contains several mini projects so that, by the end of this course, you will be equipped with the essential tools you need to become a visualization expert.

Business Management & Business Analysis are essential pillars in any thriving organisation. This course equips you with the knowledge to navigate the world of business operations and analysis, whether you're aiming to lead projects, optimise processes, or evaluate strategic decisions. Throughout the course, you'll gain a clear understanding of core business principles, including organisational behaviour, market analysis, and decision-making frameworks that shape the business landscape. By delving into both management and analysis, you’ll develop a strong foundation for driving business growth and making informed decisions that enhance company performance. Whether you're looking to build a new career or climb the corporate ladder, this course will help you hone your understanding of management concepts, data analysis techniques, and business strategy. You'll learn how to interpret data, design actionable strategies, and approach complex challenges with a methodical mindset. As the business world continuously evolves, your ability to analyse and manage effectively will allow you to confidently contribute to any organisation’s success, setting you up for future leadership roles. This is your opportunity to shape your career trajectory with in-depth knowledge of business dynamics and management skills. Key Features: CPD Certified 10 Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by qualified professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Business Management Module 01: Accounting Concepts and Standards Module 02: Balance Sheet Module 03: Income statement Module 04: Financial statements Module 05: Cash Flow Statements Module 06: Understanding Profit and Loss Statement Module 07: Financial Budgeting and Planning Module 08: Introduction to Finance Module 09: Essential Skill for Financial Advisor Module 10: Financial Planning Module 11: Financial Risk Management and Assessment Module 12: Investment Planning Module 13: Business Processes Module 14: Ratio Analysis Module 15: Planning & Forecasting Operations Module 16: Ten Common Statistical Mistakes Module 17: Needs Assessment Module 18: Business Analysis Planning Module 19: Strategy Analysis Module 20: Stakeholder Analysis Module 21: Business Development and Succession Planning Module 22: Process Management Module 23: Supply Chain Management Module 24: Procurement & Purchasing Management Module 25: Project Management Module 26: Business Analysis Planning and Monitoring Module 27: Strategic Analysis and Product Scope Module 28: Quality Management Module 29: Negotiation Techniques Module 30: Communication Skills Module 31: Skills of an Effective Administrator Module 32: What is Marketing? Module 33: Common Marketing Types (I) Module 34: Common Marketing Types (II) Module 35: Business Etiquette Module 36: Introduction to Strategic Management Business Module 37: Corporate Governance Module 38: Industry Analysis Module 39: Strategy Formulation Module 40: Strategy Implementation Module 41: Building a Brand Module 42: Generating Success from the Customer Relationship Module 43: Understanding Business Law Module 44: Contract & Business Law Module 45: Consumer Law and Protection Module 46: Introduction to Human Resources Module 47: Business Proposal Writing Module 48: The Market System and the Circular Flow Model Module 49: Supply, Demand and Prices Module 50: Market Structure: Perfect Competition vs Monopoly Business Analysis Module 01: An Introduction to Business Analysis Module 02: The Necessity of a Business Analyst Module 03: Addressing Requirements Module 04: Needs Assessment Module 05: Business Analysis Planning Module 06: Strategy Analysis Module 07: Stakeholder Analysis Module 08: Requirements Elicitation Module 09: Requirements Analysis Module 10: Traceability and Monitoring Module 11: Solution Evaluation ________________________________________________________________________ Complete Career Guide for Business Management & Business Analysis (A to Z) This isn't just a course; it's your ticket to thriving in the sector and your roadmap to the Management. In addition to mastering the essentials of Management, you'll also gain valuable skills in CV writing, job searching, communication, leadership, and project management. These 9 complementary courses are designed to empower you at every stage of your journey. Stand out in your career, from crafting a winning CV to excelling in interviews. Develop the leadership skills to inspire your team and efficiently manage projects. This holistic approach ensures you're not just job-ready but career-ready. Enrol today, and let's build your success story together in Health and Management. Your dream career starts here! List of career guide courses included in Business Management & Business Analysis With Complete Career Guide: Course 01: Professional CV Writing and Job Searching Course 02: Communication Skills Training Course 03: Career Development Training Course 04: Time Management Course 05: Returning to Work Training Course 06: Level 3 Diploma in Project Management Course 07: Leadership Skills Course 08: Body Language Course 09: Interview and Recruitment ________________________________________________________________________ Learning Outcomes: Analyze and interpret financial statements for informed decision-making. Create risk-reduction measures and strategic company plans. Analyze the organization thoroughly, taking into account the needs of stakeholders and requirements. Acquire essential skills in communication, negotiation, and project management. Manage the intricacies of company law while guaranteeing adherence to the law. Develop a comprehensive understanding of marketing, strategic management, and company growth. ________________________________________________________________________ Accreditation All of our courses, including this course, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Course, you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we recommend renewing them every 12 months. Assessment At the end of the courses, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. CPD 130 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious entrepreneurs looking for a thorough comprehension. Individuals aiming for proficiency in financial planning and analysis. Those pursuing careers in project management and strategic development. Enthusiasts for industry who are ready to negotiate moral and legal terrain. Career path Financial Analyst - £40K to 60K/year. Business Analyst - £35K to 55K/year. Project Manager - £45K to 70K/year. Marketing Manager - £40K to 65K/year. Human Resources Manager - £40K to 60K/year. Certificates 11 CPD Accredited e-Certificates Digital certificate - Included 11 CPD Accredited Hard Copy Certificates Hard copy certificate - Included

Join the comprehensive Security Guard, CCTV, and Door Supervision course to gain essential skills and knowledge for a successful career in the security industry. Learn security risk analysis, crisis response, CCTV monitoring, and conflict management to ensure safety and compliance. Suitable for aspiring security professionals and those seeking advanced training.

Business Law: Business Law Course Online Introducing: The Comprehensive Business Law: Business Law Course! Unlock the Secrets to Navigating the Legal Landscape of Business Success! Are you an aspiring entrepreneur, small business owner, or professional looking to gain a competitive edge in the corporate world? Look no further! Introducing our cutting-edge Business Law: Business Law Course. Our Business Law: Business Law Course covers a wide range of topics, including contract law, intellectual property law, company law, sales law, and much more! You will develop a deep understanding of how business law principles apply to actual situations. After completing the Business Law: Business Law Course you will receive a globally recognized certification. Don't delay! Enrol in our Business Law: Business Law Course now and gain the confidence to navigate complex legal situations with ease. [ Note: Free PDF certificate as soon as completing the Business Law: Business Law Course] Business Law: Business Law Course Online The Business Law: Business Law Course is here to equip you with the essential knowledge about business law and expertise to excel in the ever-changing legal environment. Our Business Law course is developed by seasoned legal professionals with years of experience in business law. You will receive top-notch, up-to-date insights directly from the experts. Certificate of Completion You will receive a course completion certificate for free as soon as you complete the Business Law: Business Law Course. Who is this course for? Business Law: Business Law Course Online This Business Law: Business Law Course is designed for entrepreneurs, small business owners, professionals, and students seeking to gain essential knowledge and practical insights into business law principles for success in the corporate world. Requirements Business Law: Business Law Course Online To enrol in this Business Law: Business Law Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Business Law: Business Law Course. Be energetic and self-motivated to complete our Business Law: Business Law Course. Basic computer Skill is required to complete our Business Law: Business Law Course. If you want to enrol in our Business Law: Business Law Course, you must be at least 15 years old. Career path Business Law: Business Law Course Online After completing the Business Law: Business Law Course you will be able to pursue roles as: Legal consultants Business advisors Corporate lawyers Compliance officers Contract managers

Overview This comprehensive course on Data Visualization and Reporting with Power BI will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Visualization and Reporting with Power BI comes with accredited certification from CPD, 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 Data Visualization and Reporting with Power BI. It is available to all students, of all academic backgrounds. Requirements Our Data Visualization and Reporting with Power BI 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 15 sections • 140 lectures • 14:25:00 total length •Welcome!: 00:01:00 •What is Power BI?: 00:03:00 •Download & Installing Power BI Desktop: 00:04:00 •Getting to know the interface: 00:03:00 •Mini Project: Transform Data: 00:07:00 •Mini Project: Visualize Data: 00:05:00 •Mini Project: Creating a Data Model: 00:07:00 •Course Outline: What will you learn in this course?: 00:05:00 •How to learn best with this course?: 00:03:00 •Creating our initial project file: 00:04:00 •Working with the attached project files: 00:04:00 •Exploring the Query Editor: 00:06:00 •Connecting to our data source: 00:07:00 •Editing rows: 00:08:00 •Changing data types: 00:08:00 •Replacing values: 00:03:00 •Close & Apply: 00:03:00 •Connecting to a csv file: 00:03:00 •Connecting to a web page: 00:05:00 •Extracting characters: 00:06:00 •Splitting & merging columns: 00:09:00 •Creating conditional columns: 00:06:00 •Creating columns from examples: 00:09:00 •Merging Queries: 00:17:00 •Pivoting & Unpivoting: 00:06:00 •Appending Queries: 00:08:00 •Practice & Solution: Population table: 00:15:00 •The Fact-Dimension-Model: 00:09:00 •Practice: Load the dimension table: 00:04:00 •Organizing our queries in groups: 00:03:00 •Entering data manually: 00:05:00 •Creating an index column: 00:03:00 •Workflow & more transformations: 00:05:00 •Module summary: 00:05:00 •Exercise 1 - Instruction: 00:02:00 •Exercise 1 - Exercise Solution: 00:11:00 •Advanced Editor - Best practices: 00:09:00 •Performance: References vs. Duplicating: 00:10:00 •Performance: Enable / Disable Load & Report Refresh: 00:05:00 •Group by: 00:05:00 •Mathematical Operations: 00:05:00 •Run R Script: 00:15:00 •Using Parameters to dynamically transform data: 00:06:00 •M formula language: Basics: 00:07:00 •M formula language: Values, Lists & Tables: 00:14:00 •M formula language: Functions: 00:13:00 •M formula language: More functions & steps: 00:05:00 •Exercise 2 - Instructions: 00:01:00 •Exercise 2 - solution: 00:05:00 •Understanding the relationship: 00:05:00 •Create & edit relationships: 00:06:00 •One-to-many & one-to-one relationship: 00:06:00 •Many-to-many (m:n) relationship: 00:08:00 •Cross filter direction: 00:06:00 •Activate & deactivate relationships: 00:06:00 •Model summary: 00:03:00 •Exercise 3 Create Model: 00:02:00 •Exercise 3 Solution: 00:02:00 •Our first visual: 00:08:00 •The format tab: 00:12:00 •Understanding tables: 00:10:00 •Conditional formatting: 00:09:00 •The Pie Chart: 00:06:00 •All about the filter visual: 00:13:00 •The filter pane for developers: 00:09:00 •Cross filtering & edit interactions: 00:04:00 •Syncing slicers across pages: 00:07:00 •Creating drill downs: 00:08:00 •Creating drill throughs: 00:07:00 •The tree map visual: 00:07:00 •The decomposition tree: 00:05:00 •Understanding the matrix visual: 00:05:00 •Editing pages: 00:07:00 •Buttons & Actions: 00:09:00 •Bookmarks to customize your report: 00:10:00 •Analytics and Forecasts with line charts: 00:10:00 •Working with custom visuals: 00:07:00 •Get data using R Script & R Script visual: 00:08:00 •Asking questions - Q&A visual: 00:04:00 •Wrap up - data visualization: 00:08:00 •Python in Power BI - Plan of attack: 00:03:00 •Setting up Python for Power BI: 00:03:00 •Transforming data using Python: 00:11:00 •Creating visualizations using Python: 00:08:00 •Violin plots, pair plots & ridge plots using Python: 00:15:00 •Machine learning (BayesTextAnalyzer) using Python: 00:00:00 •Performance & Troubleshooting: 00:03:00 •Introduction: 00:01:00 •Show Empathy & Identify the Requirement: 00:03:00 •Finding the Most Suitable KPI's: 00:02:00 •Choose an Effective Visualization: 00:04:00 •Make Use of Natural Reading Pattern: 00:03:00 •Tell a Story Using Visual Cues: 00:05:00 •Avoid Chaos & Group Information: 00:02:00 •Warp Up - Storytelling with Data: 00:02:00 •Introduction: 00:03:00 •The project data: 00:04:00 •Measures vs. Calculated Columns: 00:15:00 •Automatically creating a date table in DAX: 00:08:00 •CALENDAR: 00:05:00 •Creating a complete date table with features: 00:04:00 •Creating key measure table: 00:03:00 •Aggregation functions: 00:06:00 •The different versions of COUNT: 00:14:00 •SUMX - Row based calculations: 00:09:00 •CALCULATE - The basics: 00:11:00 •Changing the context with FILTER: 00:07:00 •ALL: 00:08:00 •ALL SELECTED: 00:03:00 •ALL EXCEPT: 00:07:00 •How to go on now?: 00:03:00 •Power BI Pro vs Premium & Signing up: 00:04:00 •Exploring the interface: 00:04:00 •Discovering your workspace: 00:03:00 •Connecting Power BI Desktop & Cloud: 00:04:00 •Understanding datasets & reports: 00:03:00 •Working on reports: 00:04:00 •Updating reports from Power BI Desktop: 00:04:00 •Creating and working with workspaces: 00:07:00 •Installing & using a data gateway: 00:13:00 •Get Quick Insights: 00:03:00 •Creating dashboards: 00:04:00 •Sharing our results through Apps: 00:10:00 •Power BI Mobile App: 00:05:00 •Creating the layout for the Mobile App: 00:04:00 •Wrap up - Power BI Cloud: 00:07:00 •Introduction: 00:03:00 •Creating a Row-Level Security: 00:05:00 •Row-Level Security in the Cloud: 00:04:00 •Row-Level Security & Data Model: 00:05:00 •Dynamic Row-Level Security: 00:07:00 •Dynamic Many-to-Many RLS: 00:04:00 •Hierarchical Row-Level Security: 00:13:00 •JSON & REST API: 00:10:00 •Setting up a local MySQL database: 00:14:00 •Connecting to a MySQL database in Power BI: 00:05:00 •Connecting to a SQL database (PostgreSQL): 00:05:00 •Congratulations & next steps: 00:06:00 •The End: 00:01:00 •Resources - Data Visualization and Reporting with Power BI: 00:00:00