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Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Big Data Analytics with PySpark Power BI and MongoDB Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The Big Data Analytics with PySpark Power BI and MongoDB Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Big Data Analytics with PySpark Power BI and MongoDB Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Big Data Analytics with PySpark Power BI and MongoDB Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Big Data Analytics with PySpark Power BI and MongoDB? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance 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 Big Data Analytics with PySpark Power BI and MongoDB 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Big Data Analytics with PySpark Power BI and MongoDB course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This Big Data Analytics with PySpark Power BI and MongoDB does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Big Data Analytics with PySpark Power BI and MongoDB was made by professionals and it is compatible with all PCs, Macs, tablets, and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This Big Data Analytics with PySpark Power BI and MongoDB is a great way for you to gain multiple skills from the comfort of your home.   Section 01: Introduction Introduction 00:10:00 Section 02: Setup and Installations Python Installation 00:03:00 Installing Apache Spark 00:12:00 Installing Java (Optional) 00:05:00 Testing Apache Spark Installation 00:06:00 Installing MongoDB 00:04:00 Installing NoSQL Booster for MongoDB 00:07:00 Section 03: Data Processing with PySpark and MongoDB Integrating PySpark with Jupyter Notebook 00:05:00 Data Extraction 00:19:00 Data Transformation 00:15:00 Loading Data into MongoDB 00:13:00 Section 04: Machine Learning with PySpark and MLlib Data Pre-processing 00:19:00 Building the Predictive Model 00:12:00 Creating the Prediction Dataset 00:08:00 Section 05: Creating the Data Pipeline Scripts Installing Visual Studio Code 00:03:00 Creating the PySpark ETL Script 00:22:00 Creating the Machine Learning Script 00:24:00 Section 06: Tableau Data Visualization Installing Tableau 00:03:00 Installing MongoDB ODBC Drivers 00:03:00 Creating a System DSN for MongoDB 00:04:00 Loading the Data Sources 00:04:00 Creating a Geo Map 00:11:00 Creating a Bar Chart 00:03:00 Creating a Magnitude Chart 00:07:00 Creating a Table Plot 00:06:00 Creating a Dashboard 00:07:00 Source Code Source Code and Notebook

Duration 1 Days 6 CPD hours This course is intended for This course is designed for skilled users of Microsoft Windows and Office who do not have prior coding or programming experience and who are interested in creating custom business apps quickly and without writing application code. Overview In this course, you will use Microsoft Power Apps to build and deploy low-code business apps. You will: Determine how Microsoft Power Apps can meet your business needs. Plan and design apps. Build canvas apps. Build model-driven apps. Test and deploy apps. This course introduces building low-code/no-code apps with Microsoft© Power Apps©. Most out-of-the-box solutions do not meet exact business needs or integrate well with existing business apps. Power Apps eases users into app development with templates, automated app-building tools, and a streamlined programming language to enable any business user to create a custom app. Getting Started with Microsoft Power Apps Topic A: Introduction to Microsoft Power Platform Topic B: Introduction to Power Apps Topic C: Select App Types to Address Business Needs Planning and Designing Apps Topic A: Plan Apps Topic B: Design Apps Building Canvas Apps Topic A: Create an App from a Blank Canvas Topic B: Create an App from a Template Building Model-Driven Apps Topic A: Create Model-Driven Apps Topic B: Add Visualizations and Reports Testing and Deploying Apps Topic A: Make Apps Available to Other Users Topic B: Test Apps Topic C: Revise Apps

This course is designed for those already using Power BI Desktop and are ready to work with more comprehensive elements of analysing and reporting in Power BI. The course maintains a balanced look at data analysis including the Power Query Editor, with a deep dive into writing DAX formulas, and enhanced dashboard visualisations. The aim of this course is to provide a more complete understanding of the whole Power BI analytics process, by working with business examples that will equip you with the necessary skills to output comprehensive reports and explore Power BI's analytical capabilities in more depth. 1 The Query Editor Grouping rows in a table Split row by delimiter Add days to determine deadlines The query editor 2 Fuzzy Matching Joins Matching inconsistencies by percentage Matching with transformation table 3 The Query Editor M Functions Adding custom columns Creating an IF function Nested AND logics in an IF function 4 DAX New Columns Functions Including TRUE with SWITCH Using multiple conditions The FIND DAX function The IF DAX function Logical functions IF, AND, OR 5 Editing DAX Measures Making DAX easier to read Add comments to a measure Using quick measures 6 The Anatomy of CALCULATE Understanding CALCULATE filters Add context to CALCULATE with FILTER Using CALCULATE with a threshold 7 The ALL Measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentages 8 DAX Iterators Anatomy of iterators A closer look at SUMX Using RELATED with SUMX Create a RANKX RANKX with ALL 9 Date and Time Functions Overview of functions Create a DATEDIFF function 10 Time Intelligent Measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 11 Visualisations In-Depth Utilising report themes Applying static filters Group data using lists Group numbers using bins Creating heatmaps Comparing proportions View trends with sparklines 12 Comparing Variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint

Duration 1 Days 6 CPD hours This course is intended for Anyone whose role requires them to use existing Power BI Reports or Dashboards to consume the contents. Roles can include management at all levels, team leaders or anyone who needs to commission the production of reports or dashboards. It is assumed that attendees on the course are familiar with charts. Please note that this course is not suitable for new Excel users, delegates need Ability to create charts Ability to use filters in data Overview This course covers the use of Power BI Desktop and the Power BI service hosted in Office 365 to identify core features, terminology and processes applicable when using reports or dashboards.Delegates will learn how to: Power BI Concepts and Main Features How a report is created Navigating reports and dashboards How to apply filters and slicers To use Insights, Analytics and Natural Language Queries Power BI provides a variety of methods for using reports and dashboards within which data can be viewed and analyzed visually. Getting Started with Power BI Power BI Concepts and Versions Introduction to Main Features: Jargon buster From Data to Reports and Dashboards Visualizations Overview Visualizations Available Visualizations as Filter Reports and Dashboards Similarities and differences Understanding what you are looking at Understanding what you are looking at Using a Report in Power BI Filters, sorting and using slicers See the actual data See Data and See Records Drill visualizations Off the shelf data analysis Quick Conditional Formatting Analytics lines Use Insight for Increases and Decrease Forecast Analytics Changing calculations and Show As Working with Dashboards Dashboards in Power BI Defined How is a dashboard different from a report? Working in the Dashboard window

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Duration 3 Days 18 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. Use advanced analysis techniques. Enhance reports and dashboards. Publish and share reports and dashboards. Extend Power BI beyond the desktop. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Using Advanced Analysis Techniques Topic A: Create Calculated Tables, Variables, and Parameters Topic B: Enhance Visuals with Statistical Analysis Topic C: Perform Advanced Analysis Enhancing Reports and Dashboards Topic A: Enhance Reports Topic B: Enhance Dashboards Publishing and Sharing Reports and Dashboards Topic A: Publish Reports Topic B: Create and Manage Workspaces Topic C: Share Reports and Dashboards Extending Power BI Beyond the Desktop Topic A: Use Power BI Mobile Topic B: Extend Access with the Power BI API Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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.

Overview This Protection and Control of High Voltage Power Circuits course will unlock your full potential and will show you how to excel in a career in Protection and Control of High Voltage Power Circuits. So upskill now and reach your full potential. Everything you need to get started in Protection and Control of High Voltage Power Circuits is available in this course. Learning and progressing are the hallmarks of personal development. This Protection and Control of High Voltage Power Circuits will quickly teach you the must-have skills needed to start in the relevant industry. In This Protection and Control of High Voltage Power Circuits Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Protection and Control of High Voltage Power Circuits skills to help you advance your career. Acquire a comprehensive understanding of various Protection and Control of High Voltage Power Circuits topics and tips from industry experts. Learn in-demand Protection and Control of High Voltage Power Circuits skills that are in high demand among UK employers, which will help you to kickstart your career. This Protection and Control of High Voltage Power Circuits course covers everything you must know to stand against the tough competition in the Protection and Control of High Voltage Power Circuits field.  The future is truly yours to seize with this Protection and Control of High Voltage Power Circuits. Enrol today and complete the course to achieve a Protection and Control of High Voltage Power Circuits certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Protection and Control of High Voltage Power Circuits course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Protection and Control of High Voltage Power Circuits course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Protection and Control of High Voltage Power Circuits course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Protection and Control of High Voltage Power Circuits is suitable for anyone aspiring to start a career in Protection and Control of High Voltage Power Circuits; even if you are new to this and have no prior knowledge on Protection and Control of High Voltage Power Circuits, this course is going to be very easy for you to understand.  And if you are already working in the Protection and Control of High Voltage Power Circuits field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Protection and Control of High Voltage Power Circuits course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Protection and Control of High Voltage Power Circuits course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Protection and Control of High Voltage Power Circuits course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Protection and Control of High Voltage Power Circuits course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Protection and Control of High Voltage Power Circuits Module 01: Introduction 00:13:00 Module 02: Overview of Stations 00:36:00 Module 03: Relaying in General 00:46:00 Module 04: Instrument Transformers 00:18:00 Module 05: Transformer Configurations Connections Cooling 00:28:00 Module 06: Surge Protective Equipment 00:27:00 Module 07: High Voltage Circuit Breakers 00:18:00 Module 08: Breaker Control & Auto Reclosing 00:24:00 Module 09: Instantaneous & Timed Over Current Protection 00:44:00 Module 10: Differential Protection 00:25:00 Module 11: Impedance Relaying 00:44:00

Duration 2 Days 12 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3) 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.

Learn how to use this powerful tool to import and clean data and create some amazing visuals. Course overview Duration: 2 days (13 hours) Power BI Desktop is a powerful tool for working with your data. It enables you to import multiple data sources and create effective visualisations and reports. This course is an introduction to Power BI to get you started on creating a powerful reporting capability. You should have a good working knowledge of Excel and managing data before attending. Objectives  By the end of the course you will be able to: Import data from multiple data sources Edit and transform data before importing Create reports Create different visualisations Create data models Build data relationships Use the drill down features Create measures Use the Power BI Service Build dashboards Use the mobile app Content Essentials Importing Data Power BI Overview Data sources Importing data Transforming Your Data Editing your data Setting data types Removing columns/rows Choosing columns to keep Setting header rows Splitting columns Creating Reports Creating and saving reports Adding pages Renaming pages Interactivity Refreshing your data Adding Columns Columns from example Custom columns Conditional columns Append Queries Importing folders Setting up and using append queries Creating Chart Visualisations Adding chart elements Choosing chart types Setting properties Setting values, axis and legends Using tooltips Visual filters Setting page and report filters Creating Tables, Cards, Gauges and Maps Adding table elements Adding maps Working with cards Working with matrices KPIs and Gauges Conditional Formatting Setting rules Removing conditional formatting   Working with Data Models Merge Queries Setting up and using merge queries Merging in columns of data Creating a Data Model The data model Multiple data tables Connecting tables Building relationships Relationship types Building visuals from multiple tables Unpivoting Data Working with summary data Unpivoting data Using Hierarchies Using built in hierarchies Drill down Drill up See next level Expand a hierarchy Create a new hierarchy Grouping Grouping text fields Grouping date and number fields Creating Measures DAX functions DAX syntax Creating a new measure Using quick measures Using the PowerBI Service Shared workspaces My workspace Dashboards Reports Datasets Drill down in dashboards Focus mode Using Q&A Refreshing data Using Quick Insights Power BI Mobile App Using the Power BI Mobile App

This course starts with the basics then moves seamlessly to an intermediate level. It includes a comprehensive yet balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to use the online Power BI service. It looks at authoring tools that enables you to connect to and transform data from a variety of sources, allowing you to produce dynamic reports using a library of visualisations. Once you have those reports, the course looks at the seamless process of sharing those with your colleagues by publishing to the online Power BI service. The aim of this course is to provide a strong understanding of the Power BI analysis process, by working with real-world examples that will equip you with the necessary skills to start applying your knowledge straight away. 1 Getting started The Power BI process Launching Power BI Desktop The four views of Power BI Dashboard visuals 2 Connecting to files Connect to data sources Connect to an Excel file Connect to a CSV file Connect to a database Import vs. DirectQuery Connect to a web source Create a data table 3 Transforming data The process of cleaning data Column data types Remove rows with filters Add a custom column Append data to a table Fix error issues Basic maths operations 4 Build a data model Table relationships Manage table relationships 5 Merge queries Table join kinds Merging tables 6 Create report visualisations Creating map visuals Formatting maps Creating chart visuals Formatting chart Tables, matrixes, and cards Control formatting with themes Filter reports with slicers Reports for mobile devices Custom online visuals Export report data to Excel 7 The power query editor Fill data up and down Split columns by delimiter Add conditional columns Merging columns 8 The M formula Creating M functions Create an IF function Create a query group 9 Pivot and unpivot tables Pivot tables in the query editor Pivot and append tables Pivot but don't summarise Unpivot tables Append mismatched headers 10 Data modelling revisited Data model relationships Mark a calendar as a date table 11 Introduction to calculated columns New columns vs. measures Creating a new column calculation The SWITCH function 12 Introduction to DAX measures Common measure categories The SUM measure Adding measures to visuals COUNTROWS and DISINCTCOUNT functions DAX rules 13 The CALCULATE measure The syntax of CALCULATE Things of note about CALCULATE 14 The SUMX measure The SUMX measure X iterator functions Anatomy of SUMX 15 Introduction to time intelligence Importance of a calendar table A special lookup table The TOTALYTD measure Change year end in TOTALYTD 16 Hierarchy, groups and formatting Create a hierarchy to drill data Compare data in groups Add conditional formatting 17 Share reports on the web Publish to the BI online service Get quick insights Upload reports from BI service Exporting report data What is Q&A? Sharing your reports 18 Apply your learning Post training recap lesson