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Overview This comprehensive course on Complete Microsoft Power BI 2021 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Complete Microsoft Power BI 2021 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 Complete Microsoft Power BI 2021. It is available to all students, of all academic backgrounds. Requirements Our Complete Microsoft Power BI 2021 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 - Complete Microsoft Power BI 2021: 00:00:00

Get job ready with CompTIA's Data Analysis Certification. Live Classes - Career Guidance - Exam Included.

Course Overview: Data analysis is a hot skill in today's job market. According to a recent study by LinkedIn, demand for data analysts is growing 15 times faster than the average for all occupations. And the salaries are good too. The average salary for a data analyst in the UK is £40,000. If you're looking to get ahead in your career or learn a new skill that's in high demand, then the Data Analysis in Excel Level 3 Course is for you. In this course, you'll learn how to use Excel to analyse data like a pro. You'll learn how to clean, format, and analyse data using various Excel tools and techniques. You'll also learn how to create charts and graphs to visualise your data. This course won't merely make you adept at Excel. It will mould you into a data wizard, wielding Excel as a potent tool to make data sing and secrets reveal themselves. Enrol Today and Start Learning! Key Features of the Course: Embark on your data analysis journey with us and discover these exciting features: A CPD Certificate to validate your newfound skills. 24/7 Learning Assistance for any hour inspiration strikes. Engaging learning materials to ensure an enriching learning experience. Who is This Course For? Our Data Analysis in Excel Level 3 Course caters to ambitious individuals with a basic understanding of Excel, eager to take their skills to new heights. This course welcomes everything from budding data enthusiasts to established business analysts seeking to fortify their analytical toolkits. What You Will Learn: Dive deep into the labyrinth of data as you master essential modules such as 'Search for and Replace Data,' 'Sort and Filter Data,' and 'Query Data with Database Functions.' Venture further into data exploration with our 'Outline and Subtotal Data' module, where you'll learn to summarise your data for a more organised view efficiently. The journey continues with modules like 'Create Charts' and 'Modify and Format Charts,' enabling you to translate complex data into easy-to-understand visuals. Furthermore, our dedicated modules on 'Creating a PivotTable' and 'Analysing PivotTable Data' promise a comprehensive understanding of one of Excel's most powerful tools. Why Enrol in This Course: Rated as a top-reviewed course and constantly updated to keep up with the latest trends, our Data Analysis in Excel Level 3 Course equips you with sought-after skills like data forecasting, creating sparklines, using advanced chart features, and more. Requirements: While no specific prerequisites are required, a basic understanding of Excel and an eagerness to explore the fascinating world of data analysis would be beneficial. Career Path: On completion of this Data Analysis in Excel Level 3 Course course, you'll be ready to step into diverse roles such as: Data Analyst (£30,000-£35,000) Business Intelligence Analyst (£32,000-£37,000) Market Research Analyst (£28,000-£33,000) Operations Analyst (£31,000-£36,000) Financial Analyst (£35,000-£40,000) Supply Chain Analyst (£30,000-£35,000) Sales Analyst (£29,000-£34,000) Certification: Upon successful completion of the course, you'll be awarded a prestigious CPD Certificate, demonstrating your expertise in data analysis using Excel. So, are you ready to discover the hidden stories in data and revolutionise decision-making? Enrol in our Data Analysis in Excel Level 3 Course and start your journey today! Course Curriculum 11 sections • 32 lectures • 04:43:00 total length •Insert, Delete, and Adjust Cells, Columns, and Rows: 00:10:00 •Search for and Replace Data: 00:09:00 •Use Proofing and Research Tools: 00:07:00 •Sort Data: 00:10:00 •Filter Data: 00:10:00 •Query Data with Database Functions: 00:09:00 •Outline and Subtotal Data: 00:09:00 •Apply Intermediate Conditional Formatting: 00:07:00 •Apply Advanced Conditional Formatting: 00:05:00 •Create Charts: 00:13:00 •Modify and Format Charts: 00:12:00 •Use Advanced Chart Features: 00:12:00 •Create a PivotTable: 00:13:00 •Analyze PivotTable Data: 00:12:00 •Present Data with PivotCharts: 00:07:00 •Filter Data by Using Timelines and Slicers: 00:11:00 •Use Links and External References: 00:12:00 •Use 3-D References: 00:06:00 •Consolidate Data: 00:05:00 •Use Lookup Functions: 00:12:00 •Trace Cells: 00:09:00 •Watch and Evaluate Formulas: 00:08:00 •Apply Data Validation: 00:13:00 •Search for Invalid Data and Formulas with Errors: 00:04:00 •Work with Macros: 00:18:00 •Create Sparklines: 00:07:00 •MapData: 00:07:00 •Determine Potential Outcomes Using Data Tables: 00:08:00 •Determine Potential Outcomes Using Scenarios: 00:09:00 •Use the Goal Seek Feature: 00:04:00 •Forecasting Data Trends: 00:05:00 •Assignment - Data Analysis in Excel Level 3 Course: 00:00:00

Restorative Interventions in Schools A “Restorative Solution” is a non-adversarial approach to conflict resolution where the person who has done something wrong in a given situation becomes accountable to those s/he has harmed. This person is then given the opportunity to “make up” for their inappropriate behaviour through agreement and reparation. An intervention can involve a formal conference, or it can be a simple conversation on a corridor or playground. Restorative Interventions work with all ages of young people, and the techniques can be used in parental meetings, can prevent exclusions and challenge poor behaviour. Our feedback tells us that when problems between young people are addressed in this way, those problems rarely reoccur. Course Category Behaviour and Relationships Teaching and Learning Description Restorative Interventions in Schools A “Restorative Solution” is a non-adversarial approach to conflict resolution where the person who has done something wrong in a given situation becomes accountable to those s/he has harmed. This person is then given the opportunity to “make up” for their inappropriate behaviour through agreement and reparation. An intervention can involve a formal conference, or it can be a simple conversation on a corridor or playground. Restorative Interventions work with all ages of young people, and the techniques can be used in parental meetings, can prevent exclusions and challenge poor behaviour. Our feedback tells us that when problems between young people are addressed in this way, those problems rarely reoccur. Also Available on line– self paced learning… give it a try! Testimonials ‘Interesting. A different approach. Another ‘weapon’ in the armoury. Will try to use.’ ‘Made me think how I can approach confrontations differently. Useful, reminded me where my focus should be and that things will be difficult at times, but that’s no excuse to stay in the comfort zone!’ ‘Excellent day. Lots of ideas to take away and use on a daily basis. Thanks.’ ‘Nice to do some work on behaviour without sanctions and restraints in mind’ Learning Objectives To introduce participants to Restorative Interventions To develop understanding of value and role in developing inclusive practice of Restorative Interventions To develop and practise Restorative Intervention skills processes Opportunity to reflect on professional practice Mutual support established with other ‘front line’ practitioners Who Is It For ? Multi Agency Teams Social workers CAMHS teams Year Managers Primary and secondary staff Early Years and School based Practitioners Heads and Deputies SENCOs Advanced Skills Teachers Primary and secondary teachers Local Authority Support Services Course Content This can be introduced in one day or as a workshop but is better offered over a series of sessions. The course answers the questions: What should we do if rewards and punishments do not work? Can we find an alternative process to recommending permanent exclusion or special unit or school placement? Struggling with a child for whom praise and sanctions seem ineffective? Want to develop a more restorative school or team? I need a process which works with relationships not just behaviour. What will work for our relationships policy? This day’s training will enable participants to facilitate Short Restorative Conferences, and will suggest ways of working with young people and others that will help to repair broken relationships, and challenge some difficult behaviour. Including all those affected by an incident in its resolution is a powerful way of producing significant improvements in behaviour. We will cover: What are restorative solutions? Background and detailed teaching of processes Inclusion values underpinning this work Processes modelled and opportunities to try process out Practical setting up of restorative conferences Stories and outcomes