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With the aid of case studies, this course seeks to give students a thorough understanding of E-commerce Marketing and tactics. Students who successfully complete this course will be able to comprehend the growth methods and constraints faced by e-commerce enterprises and possess the competencies required to establish, expand, and maintain a profitable online enterprise. Understand E-commerce Marketing and strategies with the help of case studies Grow Ecommerce by understanding the strategies and barriers to growth. Understand Competitive Advantage, Michael Porter & Sustainable Competitive Advantage. Understand and measure the success of a strategy with the help of cost-benefit analysis and ROI calculation techniques. Understand the process and Requirements of Starting an Online Business and measuring its impact.   This course aims to give students a comprehensive understanding of E-commerce Marketing and strategies via the use of case studies. By successfully completing this course, students will be able to appreciate the growth strategies and limitations faced by e-commerce businesses and will have the skills necessary to start, manage, and sustain a successful online business. This course aims to provide students with a comprehensive understanding of E-commerce Marketing and strategies with the help of case studies. By the end of this course, students will be able to understand the strategies and barriers to growth in E-commerce businesses, and develop the skills needed to grow and sustain a successful online business. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Realizing E-Business Strategy and Implementation Self-paced pre-recorded learning content on this topic. Realizing E-Business Strategy And Implementation Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. E-Business Strategist E-Commerce Implementation Manager Digital Transformation Consultant E-Business Project Manager E-Business Analyst E-Business Architect E-Commerce Solutions Consultant E-Commerce Business Development Manager E-Business Technology Specialist E-Commerce Operations Manager Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

In this course, you will learn everything you need to know to become a professional React JS developer. As we lay the foundation for HTML5 and CSS, we will also work on some practice projects. Furthermore, we will explore JavaScript and ReactJS by studying their fundamentals and practicing.

Sports Marketing course will teach you how to use marketing principles to gain a better understanding of the sports industry and how to capitalize on it.

Recognised Accreditation 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. 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. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. 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. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Welcome to the course Introduction 00:02:00 Setting up R Studio and R crash course Installing R and R studio 00:05:00 Basics of R and R studio 00:10:00 Packages in R 00:10:00 Inputting data part 1: Inbuilt datasets of R 00:04:00 Inputting data part 2: Manual data entry 00:03:00 Inputting data part 3: Importing from CSV or Text files 00:06:00 Creating Barplots in R 00:13:00 Creating Histograms in R 00:06:00 Basics of Statistics Types of Data 00:04:00 Types of Statistics 00:02:00 Describing the data graphically 00:11:00 Measures of Centers 00:07:00 Measures of Dispersion 00:04:00 Introduction to Machine Learning Introduction to Machine Learning 00:16:00 Building a Machine Learning Model 00:08:00 Data Preprocessing for Regression Analysis Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Importing the dataset into R 00:03:00 Univariate Analysis and EDD 00:03:00 EDD in R 00:12:00 Outlier Treatment 00:04:00 Outlier Treatment in R 00:04:00 Missing Value imputation 00:03:00 Missing Value imputation in R 00:03:00 Seasonality in Data 00:03:00 Bi-variate Analysis and Variable Transformation 00:16:00 Variable transformation in R 00:09:00 Non Usable Variables 00:04:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy variable creation in R 00:05:00 Correlation Matrix and cause-effect relationship 00:10:00 Correlation Matrix in R 00:08:00 Linear Regression Model The problem statement 00:01:00 Basic equations and Ordinary Least Squared (OLS) method 00:08:00 Assessing Accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy - RSE and R squared 00:07:00 Simple Linear Regression in R 00:07:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting result for categorical Variable 00:05:00 Multiple Linear Regression in R 00:07:00 Test-Train split 00:09:00 Bias Variance trade-off 00:06:00 Test-Train Split in R 00:08:00 Regression models other than OLS Linear models other than OLS 00:04:00 Subset Selection techniques 00:11:00 Subset selection in R 00:07:00 Shrinkage methods - Ridge Regression and The Lasso 00:07:00 Ridge regression and Lasso in R 00:12:00 Classification Models: Data Preparation The Data and the Data Dictionary 00:08:00 Importing the dataset into R 00:03:00 EDD in R 00:11:00 Outlier Treatment in R 00:04:00 Missing Value imputation in R 00:03:00 Variable transformation in R 00:06:00 Dummy variable creation in R 00:05:00 The Three classification models Three Classifiers and the problem statement 00:03:00 Why can't we use Linear Regression? 00:04:00 Logistic Regression Logistic Regression 00:08:00 Training a Simple Logistic model in R 00:03:00 Results of Simple Logistic Regression 00:05:00 Logistic with multiple predictors 00:02:00 Training multiple predictor Logistic model in R 00:01:00 Confusion Matrix 00:03:00 Evaluating Model performance 00:07:00 Predicting probabilities, assigning classes and making Confusion Matrix in R 00:06:00 Linear Discriminant Analysis Linear Discriminant Analysis 00:09:00 Linear Discriminant Analysis in R 00:09:00 K-Nearest Neighbors Test-Train Split 00:09:00 Test-Train Split in R 00:08:00 K-Nearest Neighbors classifier 00:08:00 K-Nearest Neighbors in R 00:08:00 Comparing results from 3 models Understanding the results of classification models 00:06:00 Summary of the three models 00:04:00 Simple Decision Trees Basics of Decision Trees 00:10:00 Understanding a Regression Tree 00:10:00 The stopping criteria for controlling tree growth 00:03:00 The Data set for this part 00:03:00 Importing the Data set into R 00:06:00 Splitting Data into Test and Train Set in R 00:05:00 Building a Regression Tree in R 00:14:00 Pruning a tree 00:04:00 Pruning a Tree in R 00:09:00 Simple Classification Tree Classification Trees 00:06:00 The Data set for Classification problem 00:01:00 Building a classification Tree in R 00:09:00 Advantages and Disadvantages of Decision Trees 00:01:00 Ensemble technique 1 - Bagging Bagging 00:06:00 Bagging in R 00:06:00 Ensemble technique 2 - Random Forest Random Forest technique 00:04:00 Random Forest in R 00:04:00 Ensemble technique 3 - GBM, AdaBoost and XGBoost Boosting techniques 00:07:00 Gradient Boosting in R 00:07:00 AdaBoosting in R 00:09:00 XGBoosting in R 00:16:00 Maximum Margin Classifier Content flow 00:01:00 The Concept of a Hyperplane 00:05:00 Maximum Margin Classifier 00:03:00 Limitations of Maximum Margin Classifier 00:02:00 Support Vector Classifier Support Vector classifiers 00:10:00 Limitations of Support Vector Classifiers 00:01:00 Support Vector Machines Kernel Based Support Vector Machines 00:06:00 Creating Support Vector Machine Model in R The Data set for the Classification problem 00:01:00 Importing Data into R 00:08:00 Test-Train Split 00:09:00 Classification SVM model using Linear Kernel 00:16:00 Hyperparameter Tuning for Linear Kernel 00:06:00 Polynomial Kernel with Hyperparameter Tuning 00:10:00 Radial Kernel with Hyperparameter Tuning 00:06:00 The Data set for the Regression problem 00:03:00 SVM based Regression Model in R 00:11:00 Assessment Assessment - Machine Learning Masterclass 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Elevate your expertise in healthcare with our Duty of Candour course. Uncover the intricacies of transparent communication, legal frameworks, and adept handling of adverse events. Master the art of sincere apologies, compensation procedures, and instill a culture of continuous improvement. Navigate accountability, oversee governance, and anticipate future trends. Join us to foster trust, openness, and excellence in healthcare.

This complete training program comprising levels 1 and 2 is divided into multi-sequential sections to let you gain comprehensive knowledge and understanding of SQL and data analysis. This two-level course is designed to kickstart your SQL knowledge and perform various data analysis tasks and implement SQL in projects independently and efficiently.

Description Neuroplasticity Diploma Neuroplasticity Diploma offers a comprehensive online journey into the fascinating world of the brain's ability to change and adapt. This innovative course is designed for those who wish to deepen their understanding of how the brain works, evolves, and reshapes itself throughout a person's lifetime. Beginning with an Introduction to Neuroplasticity, this diploma breaks down the complexities of the brain's dynamic nature. Rather than seeing the brain as a static organ, participants will come to appreciate the nuances of its growth, adaptation, and its boundless potential for transformation. In the Sensory Substitution section, learners will explore how the brain can repurpose one sense to compensate for the loss or inefficiency of another. Imagine a world where the blind can 'see' using their sense of touch or where the deaf might 'hear' via visual cues. The marvels of sensory substitution make such wonders possible, and this section unpacks the science behind it. Developmental Plasticity addresses the evolution of the brain during different stages of human growth. From infancy to adulthood, the brain undergoes significant changes, constantly adapting and learning. This section provides invaluable insights into how early experiences can shape our cognitive abilities and behaviours for years to come. In Synaptic Plasticity, the course delves into the cellular level of brain adaptation. Unravel how individual neural connections strengthen or weaken in response to experiences, laying the foundation for memory, learning, and behavioural change. The Seven Rules of Neuroplasticity is an illuminating segment, guiding learners through the fundamental principles governing how the brain changes. With these rules, one can better understand the underlying mechanisms and perhaps even harness them to foster positive personal growth. Brain Training, a popular topic in today's digital age, seeks to explore the tools and techniques that claim to enhance cognitive functions. With so many apps and programmes promising to 'train' the brain, this section offers a scientific lens to evaluate their efficacy and potential. One cannot discuss neuroplasticity without addressing Nerve Injury and Brain Damage. This section offers insights into how the brain recovers and compensates after trauma, showcasing its resilience and adaptability. Addiction and Pain, two formidable challenges in neuroscience, are scrutinised in the context of neuroplasticity. This section seeks to offer an understanding of how repeated behaviours can reshape the neural pathways, leading to addiction, and how pain, both physical and emotional, can change the brain's structure and function. Lifelong Changes in the Brain provides hope and inspiration by highlighting that the brain's ability to adapt isn't confined to the early years but is a lifelong phenomenon. Be it learning a new skill in one's golden years or adapting to unforeseen life changes; the brain's plasticity supports us throughout our journey. The course rounds up with a Conclusion, where learners are equipped with a holistic understanding of neuroplasticity. The Neuroplasticity Diploma doesn't just offer knowledge; it provides a foundation for learners to apply this knowledge in their personal and professional lives, be it in therapy, education, or personal development. In essence, the Neuroplasticity Diploma is an online treasure trove for anyone keen on grasping the immense capabilities of the human brain. Enrol today and embark on a journey of discovery, wonder, and infinite possibilities. What you will learn 1:Introduction to Neuroplasticity 2:Sensory Substitution 3:Developmental Plasticity 4:Synaptic Plasticity 5:The Seven Rules of Neuroplasticity 6:Brain Training 7:Nerve Injury and Brain Damage 8:Addiction and Pain 9:Lifelong Changes in the Brain 10:Conclusion Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Description Social Skills Diploma Embark on a journey of transformation and empowerment with the online Social Skills Diploma course. This comprehensive programme provides learners with an in-depth understanding of key concepts necessary for improving social interactions, enhancing relationships, and facilitating effective communication. The Social Skills Diploma course emphasises the crucial role that our social abilities play in our lives. It equips learners with practical techniques for bolstering these abilities, enabling them to navigate the social realm with ease and confidence. From the principles of effective communication to strategies for increasing social appeal, this course covers an array of essential topics. A key aspect of this online Social Skills Diploma course involves identifying and overcoming barriers to socialising. It addresses the common challenges that individuals may face, offering insightful guidance on how to break through these barriers. The course will also highlight the importance of understanding others' perspectives, fostering empathy, and developing effective coping mechanisms for social discomfort. Building on this foundation, the Social Skills Diploma course dives into the art of conversation. It introduces learners to the nuances of initiating and maintaining engaging dialogues, adjusting to various contexts, and handling conversations in specific situations. The course provides a rich exploration of conversational tactics, illuminating common errors, and offering guidance for their avoidance and correction. Listening, an often overlooked but incredibly significant social skill, is given substantial emphasis in this online course. Learners will be guided on how to hone their active listening abilities, enabling them to comprehend, respond, and interact more effectively. This important skill enhances mutual understanding and contributes to the overall success of interpersonal communication. The Social Skills Diploma course also covers strategies for increasing social appeal. It offers insights into the factors that make individuals more attractive and likable in social settings. These factors can range from body language and non-verbal cues to the art of small talk, and understanding how to use them effectively can significantly enhance one's social appeal. Another important focus of the course is the development of meaningful friendships. It delves into the complex dynamics of friend relationships, offering guidance on how to build, maintain, and deepen these crucial bonds. The course also addresses common problems in making friends, providing learners with practical strategies for overcoming these issues. Last but not least, the online Social Skills Diploma course takes learners through the process of adjusting their social skills. It encourages self-awareness and introspection, guiding learners on how to adapt their behaviour based on different social contexts and interpersonal dynamics. The skills and knowledge acquired through this course can have a profound impact, enhancing personal and professional relationships alike. Whether you're seeking to improve your personal interactions, aspiring to excel in a professional setting, or simply wish to understand the complexities of social dynamics better, this online Social Skills Diploma course could be the stepping stone towards a more socially adept and fulfilling life. Don't miss this opportunity to expand your social prowess and increase your overall confidence in any social situation. Enrol today and commence your journey towards becoming a more adept, socially aware, and empowered individual. With this diploma under your belt, your journey towards enhanced social effectiveness and adaptability will truly have begun. What you will learn 1:Enhancing Our Social Abilities 2:Barriers to Socialising 3:Conversations 4:Conversations in Specific Situations 5:Listening 6:Common Conversational Errors 7:Increasing Social Appeal 8:Friendship 9:Dealing with Problems in Making Friends 10:Adjusting to Social Skills Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Are you embarking on the journey of mastering data analytics and visualisation in the UK? The 'Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7' is your beacon. Positioned to illuminate the intricate realm of Power BI, this course offers a comprehensive look into the foundational aspects and the advanced features that make Microsoft's tool a standout. With sections meticulously designed ranging from the fundamentals, like data transformation, to advanced concepts, such as integrating Power BI with Python and storytelling with data, this course ensures learners grasp the complete spectrum. With the rising emphasis on data analytics in today's business world, this course acquaints you with Power BI's prowess. It prepares you for the sought-after Microsoft Power BI certification in the UK. Learning Outcomes Comprehend the fundamental aspects of Power BI, from initiating a project to understanding the user interface. Develop proficiency in advanced data transformation techniques and data model creation. Integrate Python with Power BI and harness the benefits of both for enhanced data analytics. Master the art of 'Storytelling with Data' to deliver impactful presentations and reports. Understand and implement Row-Level Security and harness Power BI Cloud services efficiently. Why choose this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7? 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 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 Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 for? Individuals keen on obtaining the Microsoft power bi certification UK. Analysts and data professionals aspiring to enhance their data visualisation skills. Business professionals wanting to leverage Power BI for insightful business decision-making. Tech enthusiasts aiming to amalgamate programming (Python) with data analytics. Those seeking to stay updated with the latest trends in Power BI and its evolving capabilities. Career path Data Analyst: Average Salary £30,000 - £40,000 Annually Business Intelligence Developer: Average Salary £35,000 - £45,000 Annually Power BI Developer: Average Salary £40,000 - £50,000 Annually Data Visualisation Specialist: Average Salary £32,000 - £42,000 Annually Business Intelligence Manager: Average Salary £45,000 - £55,000 Annually Data Strategy Consultant: Average Salary £50,000 - £60,000 Annually Prerequisites This Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This 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. 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 £135 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 Section 01: Introduction 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 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor 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 Solution 00:11:00 Section 04: Data Transformation - Advanced 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 Section 05: Creating a Data Model 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 00:03:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization 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 Section 07: Power BI & Python 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 Section 08: Storytelling with Data 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 Section 09: DAX - The Essentials 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 Section 10: DAX - The CALCULATE function 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 Section 11: Power BI Service - Power BI Cloud 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 Section 12: Row-Level Security 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 Section 13: More data sources 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 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 00:00:00 Assignment Assignment - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Recognised Accreditation 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. Course Curriculum Foundations of Astral Projection Course Overview 00:02:00 Introduction to Aura 00:03:00 Introduction to Kundalini and Chakra 00:04:00 Physical Body vs Etheric Body vs Astral Body 00:01:00 The Astral Dimension and Astral Matter 00:03:00 Introduction to Astral Projection 00:01:00 The “Silver Cord” and Energy Flow 00:03:00 Hypnagogic State 00:02:00 Astral Projection vs OOBE vs Lucid Dreaming 00:04:00 Astral Sensations The Clairsenses 00:07:00 Tests for Clairsenses 00:04:00 Psychic Blocks or Filters 00:03:00 Exercises for Smoother Astral Projection Meditation for Psychogenic Blocks 00:07:00 Psychic Mindfulness 00:09:00 Meditation for Aura, Chakra and Kundalini Cleansing and Energizing 00:06:00 Mindfulness for Clairsenses 00:04:00 Sylvan Muldoon's Exercise to Develop Consciousness of Self 00:02:00 Safety Measures Grounding 00:06:00 Centering 00:02:00 Connecting, Disconnecting, Locking, and Unlocking Chakras 00:03:00 Psychic Shielding 00:02:00 When Not to Do Astral Projection 00:01:00 Step-by-Step Astral Projection Step-by-Step Astral Projection and Return 00:06:00 Travelling through Space 00:01:00 Travelling through Time 00:02:00 Transformation and Shapeshifting 00:01:00 Therapeutic Astral Projection Astral Healing 00:05:00 Astral Telepathy 00:01:00 Business Aspects Spiritual Life Coaching 00:01:00 Professional, Ethical, and Legal Issues 00:09:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00