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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

Power Query and Power Pivot in Microsoft Excel:  A Quickstart Guide   Course Description   Copyright Ross Maynard 2022   Course Description Power Query and Power Pivot are two tools available in Microsoft Excel. If you are serious about data analysis, then you need to know how to use these tools. This Quickstart guide will give you the skills you need to get started with these powerful features. The Power Query tool allows you to import external data and then modify it to meet your needs, before loading it into Excel. These editing tasks are all things you can do manually in Excel, but Power Query greatly speeds things up when you have a large volume of data. The Power Pivot tool allows you to connect multiple data tables in an extended pivot table. Power Pivot also introduces new analysis and query tools to further enhance data analysis. If data analysis is your thing, then this course will help you get up to speed with these feature-filled tools. Through screen-capture video, the course provides a step-by-step guide to the foundation skills needed to use both Power Query and Power Pivot effectively. The course is designed to make your first steps into Power Query easy and to build your confidence to use them on your own. Both Power Query and Power Pivot are also available in Microsoft Power BI – the data visualisation suite. Once you have learned how to use Power Query and Power Pivot in Excel with this course, you’ll have a head start in getting to grips with Power BI Get up to speed with Power Query and Power Pivot in Microsoft Excel with this Quickstart guide.     Key Learning Points  On completion of the course, delegates will be able to: Use Power Query to load data from an external source into Microsoft Excel Clean and manipulate external data before loading it into Excel Consolidate separate files with Power Query Update Excel tables with new data in the same format Use Power Query to “unpivot” report tables to prepare the data for analysis Explain the core functionality of Power Pivot Link data tables together in the Power Pivot data model Create pivot tables that draw data from several source data tables Create performance measures and new analysis in the Power Pivot data model Use the most popular DAX query language functions in Power Pivot     Curriculum Lesson 1: Power Query Quickstart Lesson 2: Consolidating Files with Power Query Lesson 3: Unpivoting a Table Lesson 4: Power Pivot Quickstart Lesson 5: Power Pivot – Adding Data and Functionality Lesson 6: Key DAX Functions for Power Pivot Lesson 7: The DAX CALCULATE Function Lesson 8: Key Learning Points     Pre-Course Requirements There are no pre-course requirements     Additional Resources Starter spreadsheets for each lesson are provided so that learners can follow the steps presented.     Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in business processes and organisation development. Ross is also a professional author of online training courses. Ross lives in Scotland with his wife, daughter and Cocker Spaniel     Questions What is the main feature of Power Query? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     What is the main feature of Power Pivot? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     Which of the following actions cannot be performed within Power Query? Split text into multiple columns Trimming text and removing spaces Creating calculated columns using DAX functions Make date based calculations   Which of the following statements is true? You can use Power Query to combine files that have the same format and open them all in the same spreadsheet You can use Power Query to link data tables and create pivot tables that pull data items from all the linked tables You can use Power Query to create interactive dashboard reports You can use Power Query to export data files to Microsoft Access and other databases     Which of the following provides a compelling case to use Power Pivot in Microsoft Excel? The data visualisation and presentation features of Power Pivot are much more powerful than those in Excel Power Pivot offers the ability to clean large files of data imported from other systems quickly Existing reports and tables can be “reverse engineered” (unpivoted) to create data tables for more advanced analysis Files sizes in Power Pivot are smaller than in Excel and there is no limit on the number of rows of data that can be stored. This makes it much faster and more efficient to use Power Pivot for large data sets     Power Pivot uses analysis functions from the DAX formula language. What does “DAX” stand for? Digital Architecture Extraction Data Arbitrage Extrapolation Display Analytics Extension Data Analysis Expressions Deeply Annoying Exercise   The DAX CALCULATE function is one of the most powerful and useful functions available in Power Pivot. Which statement best describes it? It performs row by row calculations defined by the user and adds the total of them all together for a specified table It performs row by row calculations defined by the user and displays the maximum result for a specified table It performs a defined calculation and then applies filters specified by the user It filters the data in a specified table according to criteria set by the user   As well as in Power Pivot in Microsoft Excel, in what application are DAX functions also available? Microsoft PowerPoint Microsoft Forms Microsoft Teams Microsoft Power BI   How do DAX functions differ from Microsoft Excel functions? DAX functions are designed specifically for use with SQL based data sources DAX functions are completely new and provide additional functionality within Microsoft Excel DAX functions never take a cell reference or a range as reference, but instead take a column or table as reference DAX date and time functions return a date as a serial number, whereas Excel date and time functions return a datetime data type  

Learn to use SQLite databases with Python through a hands-on approach

Learn Java programming step-by-step with 250 core features and 200+ code examples, perfect for absolute beginners. This hands-on course covers everything from basic concepts to advanced topics such as functional programming and exception handling using JShell and Eclipse as an IDE. Gain a solid foundation in Java and kickstart your programming career.

Are you someone wishing to learn the skills to analyze data professionally using Power BI? Do you want to learn to create impressive reports? Then this is the right course for you! Learn the complete workflow in Power BI from A-to-Z and advanced analytics with DAX-calculated columns and measures, forecasting, and advanced analytics.

Implement a hands-on Python GUI project: Build a Cryptocurrency portfolio app with Python, Tkinter, SQLite3, and the CoinMarketCap API

With this 2-in-1 course, you will get access to AWS Technical Essentials and AWS Certified Solutions Architect - Associate certification exam content.

A course by Sekhar Metla IT Industry Expert RequirementsNo programming experience needed. You will learn everything you need to knowNo software is required in advance of the course (all software used in the course is free)No pre-knowledge is required - you will learn from basic Audience Beginner JavaScript, Python and MSSQL developers curious about data science development Anyone who wants to generate new income streams Anyone who wants to build websites 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 Audience Beginner JavaScript, Python and MSSQL developers curious about data science development Anyone who wants to generate new income streams Anyone who wants to build websites 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

Duration 1.5 Days 9 CPD hours This course is intended for This course is intended for DBAs and IT Professionals who want to enhance their Postgres administration skill to the next level. Overview This exam is the definitive standard for PostgreSQL professionals. This certification assesses and certifies a database professional?s ability to work in demanding, large-scale, real-world production environments. This course covers enterprise class tools for Postgres administration and prepares the learners to handle real time, production environments. Upon course completion, you will be prepared to manage large, highly available Postgres databases with confidence. PostgreSQL IntroductionSQL TuningPerformance TuningPerformance and BenchmarkingWAL ArchivingStreaming ReplicationConnection PoolingTable PartitioningExtensionsForeign Data WrappersMonitoringDatabase SecurityUpgrading Best Practices Additional course details: Nexus Humans Advanced PostgreSQL Administration training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Advanced PostgreSQL Administration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

This comprehensive course dives deep into Oracle database RAC administration, spanning 12c and 19c versions. Gain practical skills in architecture, installation, tuning, upgrading, mastering backup, recovery, dynamic services, load balancing, patching, Flex Clusters, and more. Discover advanced techniques through hands-on practice videos.