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English Proficiency Adventure (Intermediate Level)

The complete guide to creating your own Pose Estimation apps: Learn the full workflow and get up to speed with developing 5 AI apps

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Understanding the basics of Apache Maven through practical demonstration

This course will allow you to explore the potential of self-service business intelligence using Power BI Desktop to analyse and connect to different sources of data, creating Relationships between those different datasets, Query the data using Shaping and data Modelling, to create Visualizations, and publish Reports to different platforms . Course Objectives At the end of this course you will be able to: Connect to data from different sources. Use the Query Editor Perform Power BI desktop data Shaping and Transformation. Create Power BI desktop Modelling. Create Power BI desktop Visualizations and Reports. ' 1 year email support service Take a closer look at the consistent excellent feedback from our growing corporate clients visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level and Business Intelligence. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke course Tailored training courses: in in company training, you can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Please visit our site (ms-officetraining co uk) to get a feel of the excellent feedback our courses have had and look at other courses you might be interested in. Introduction to Power BI Power BI Jargon explained A quick look at Power BI Desktop A quick look at the Power BI service Helpful resources Power BI and Excel Introduction to using Excel data in Power BI Upload Excel data to Power BI Import Power View and Power Pivot to Power BI Getting started with Power BI Desktop Overview of Power BI Desktop Accessing Help and Helpful resources Connect to data sources in Power BI Desktop Shaping and Transforming Data with Query Editor Introduction to the Query Editor Data Sources Power BI Desktop can Connect to Introduction to Steps and M code Combining Data Using Merge and Append Queries Data Type Properties Working with Delimiters Clean and transform your data with the Query Editor Text Specific Transformation Tools Number Specific Transformation Tools Date Specific Transformation Tools Split and Merge columns Creating an Index Column Adding Conditional Columns Columns From Examples Grouping and Aggregating data Pivoting and Unpivoting Using filters Modeling the data Introduction to modeling your data How to manage your data relationships Create calculated columns Optimizing data models Create calculated measures Show Values As and Quick Measures Create calculated tables Explore your time-based data Introduction to DAX DAX calculation types DAX functions Visualizations Introduction to visuals in Power BI Create and customize simple visualizations Modify colors in charts and visuals Shapes, text boxes, and images Page layout and formatting Group interactions among visualizations Visual hierarchies and drill-down Using custom visualizations Create a KPI Visualization Geo-Data and Maps Reports, Publishing and Sharing Introduction to the Power BI service Quick insights in Power BI Create and configure a dashboard Ask questions of your data with natural language Create custom Q&A suggestions Share dashboards with your organization Introduction to content packs, security, and groups Publish Power BI Desktop reports Print and export dashboards and reports Create groups in Power BI Use content packs Update content packs Publish to web Who is this course for? Who is this course for? This course facilitates you with knowledge on the potential for Power BI Desktop to analyse and connect to different sources of data, creating Relationships between those different datasets, Query the data using Shaping and data Modelling, and to create Visualizations, and publish Reports to different platforms. Requirements Requirements Before attending this course, delegates should have: - A general knowledge of database concepts (fields, records and relationships) - Familiarity with Excel. Career path Career path Business Intelligence Data Analysis ETL & Data Warehousing

Description Nowadays, SQL Developers are in-demand and becoming a SQL developer can be a rewarding and fulfilling profession. This SQL Masterclass: SQL for Data Analytic is intended for absolute beginners that concentrate on giving the appropriate knowledge of Microsoft SQL Server and help to acquire the skills and abilities to become an SQL Server developer as well as offer many job opportunities in the competitive job market. In this course, you will learn how to create databases, tables, design databases and tables. You will also learn to create flat file database, confidently use SSMS Tool as well as write basic T-SQL Queries. In addition to that, learn to create constraints and views in the most dynamic way possible. Enrol right now and start exploring SQL, the most popular relational database management system. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. SQL for Data Analytic - Beginner Level Module: 01 Introduction FREE 00:16:00 Tools for Creating Views 00:11:00 Examples 00:21:00 Updating Data Using a View 00:13:00 Columns and Indexed Views 00:18:00 Module: 02 Introduction Stored Procedures 00:18:00 Creating Stored Procedures 00:19:00 Returning Data 00:14:00 Module: 03 Testing and Debugging 00:17:00 Execute with Result Sets 00:11:00 Creating Triggers 00:26:00 Module: 04 Overview and Scalar Functions 00:20:00 Inline Table Valued Functions 00:11:00 Multi Statement 00:16:00 Views and Stored Procedures 00:18:00 Module: 05 Transaction Concepts 00:30:00 Applications and Transactions 00:13:00 Creating Explicit Transactions 00:29:00 Structured Error Handling 00:25:00 Module: 06 Introduction to SQL CLR 00:08:00 Writing SQL CLR Code 00:24:00 Using SQL CLR Code 00:22:00 SQL CLR Code 00:13:00 SQL CLR Security 00:20:00 SQL for Data Analytic - Intermediate Level Module: 07 Topic A Aggregates FREE 00:27:00 Topic B User Defined Types 00:17:00 Topic C Table and Functions 00:10:00 Topic D Managing Code Modules 00:08:00 Module: 08 Topic A Introduction Data Tools 00:19:00 Topic B Connected Database Development 00:20:00 Topic C Updating a Connected Database 00:16:00 Module: 09 Topic A Creating New Objects with TSQL 00:12:00 Topic B Comparing Database Schemas 00:10:00 Topic C Offline Database Development 00:13:00 Topic D Database Project Settings 00:18:00 Module: 10 Topic A Using APPLY 00:15:00 Topic B MERGE Statement 00:23:00 Topic C Creating Recursive Queries 00:08:00 Topic D Grouping Sets 00:12:00 Module: 11 Topic A ROLLUP and CUBE Operators 00:12:00 Topic B Creating Pivot Queries 00:14:00 Topic C Executing Dynamic SQL 00:28:00 Module: 12 Topic A Complex Query Execution 00:26:00 Topic B Using Execution Plans 00:16:00 Topic C Execution Plan Operators 00:12:00 Topic D Common Join Operators 00:16:00 Module: 13 Topic A Hierarchy ID Data Type 00:12:00 Topic B Exploring a Hierarchy 00:09:00 Topic C Sparse Columns 00:16:00 Topic D Column Sets 00:12:00 Module: 14 Topic A Filtered Indexes 00:09:00 Topic B FILESTREAM Storage 00:22:00 Topic C Adding Sequences to Queries 00:22:00 Module: 15 Topic A Introduction to Spatial Data 00:13:00 Topic B Spatial Data in SQL Server 00:23:00 Topic C Manipulating Spatial Shapes 00:10:00 Topic D Interactions Between Objects 00:09:00 SQL for Data Analytic - Advanced Level Module: 16 Topic A Partitioning FREE 00:20:00 Topic B Creating Partition Tables 00:30:00 Topic C Querying Partitions 00:14:00 Topic D Managing Partitions 00:17:00 Module: 17 Topic A Complex Querying 00:22:00 Topic B Rankings 00:15:00 Topic C SubQueries 00:21:00 Topic D Common Table Expressions 00:17:00 Module: 18 Topic A Complex Data and Structures 00:26:00 Topic B Efficient Queries 00:36:00 Topic C Complex Queries 00:17:00 Module: 19 Topic A XML Data Type 00:28:00 Topic B XML Schemas 00:17:00 Topic C Querying XML 00:20:00 Topic D Best Practices 00:08:00

All about containers, Docker, and Kubernetes for Python engineers.

Step into innovation and technology with our groundbreaking course, 'Arduino Interfacing with Sensors in Your Smartphone.' Embark on a journey where creativity meets functionality as you harness the power of Arduino to connect sensors to your smartphone seamlessly. From the thrill of setting up your hardware and software to crafting custom Android apps without coding, this course promises to unlock endless possibilities in mobile technology. Discover the essential components needed to kickstart your Arduino adventure, from hardware requirements to navigating the intricacies of MIT App Inventor. Dive deep into the realms of mobile app development as you explore the Designer and Blocks Editor, laying the foundation for your foray into creating intuitive mobile apps. With our guidance, even those with zero coding experience can craft innovative applications that effortlessly bridge the gap between Arduino and smartphones. Unlock the potential of sensors as you delve into the world of proximity, accelerometer, gyroscope, and magnetometer sensors. Learn how to read analogue sensor data with Arduino and translate it into interactive mobile experiences. Whether you're a budding technologist, a hobbyist seeking to expand your skills, or an entrepreneur with a vision for innovative mobile solutions, this course equips you with the tools and knowledge to turn your ideas into reality. Learning Outcomes: Understand the hardware and software requirements for interfacing Arduino with smartphones. Master MIT App Inventor to design and develop custom Android apps for Arduino projects. Explore various sensors, including proximity, accelerometer, gyroscope, and magnetometer. Learn to create mobile apps without coding, integrating Arduino seamlessly. Gain proficiency in reading analogue sensor data and controlling Arduino remotely via smartphones. Highlights of the Arduino Interfacing with Sensors in Your Smartphone : Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Arduino Interfacing with Sensors in Your Smartphone Course for? Tech enthusiasts eager to explore Arduino and smartphone integration. Hobbyists looking to expand their knowledge in mobile app development. Entrepreneurs seeking to develop innovative mobile solutions. Students interested in learning about sensor interfacing and mobile technology. Engineers and developers aiming to enhance their skills in IoT and mobile connectivity. How is the course assessed? To successfully complete the course you must pass an automated, multiple-choice assessment. The assessment is delivered through our online learning platform. You will receive the results of your assessment immediately upon completion. Will I receive a certificate of completion? Upon successful completion, you will qualify for the UK and internationally-recognised certification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hardcopy Certificate for £15. Requirements The Arduino Interfacing with Sensors in Your Smartphone is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16. Career Path Mobile App Developer: £25,000 - £70,000 per annum IoT Engineer: £30,000 - £65,000 per annum Software Engineer: £25,000 - £70,000 per annum Electronics Engineer: £25,000 - £55,000 per annum Embedded Systems Developer: £30,000 - £70,000 per annum Technology Consultant: £35,000 - £80,000 per annum Course Curriculum Introduction and Getting Started Introduction 00:03:00 Hardware and Software Requirements Hardware and Software Requirements 00:02:00 Download and Install MIT App Inventor 00:10:00 Download and Install Arduino Pro IDE 00:09:00 Setting Up App Inventor What is App Inventor 00:02:00 Designer and Blocks Editor MIT App Inventor User Interface Explained 00:04:00 First Mobile App to Control Arduino Make your first Mobile App - Blink LED 00:15:00 Code your Arduino - Blink LED 00:05:00 Proximity Sensor Proximity Sensor Mobile App 00:14:00 Light Sensor Mobile App and Arduino Code 00:13:00 Practical Testing 00:03:00 Accelerometer Sensor Accelerometer Sensor Mobile App 00:14:00 Coding Accelerometer Sensor 00:05:00 Gyroscope Sensor Gyroscope Sensor Mobile App and Arduino Code 00:06:00 Magnetometer Sensor Magnetometer Sensor Mobile App and Arduino Code 00:05:00 Make Android App With Zero Experience MIT App Inventor Introduction uuuu 00:03:00 What can you do and system requirements 00:03:00 What is app inventor in More Details 00:02:00 Java Vs App Inventor 00:03:00 Why using App Inventor 00:01:00 App Architecture 00:05:00 Let's Start Making Apps 00:05:00 First App Add Items and Start Programming with Blocks 00:10:00 First App Testing and Running the App using Emulator 00:13:00 Resources you need to visit to Create Better Apps 00:02:00 How to Create a website for your app for free and take credit for it 00:05:00 Android Apps for Arduino with MIT App Inventor without Coding Introduction 00:03:00 App Inventor Overview 00:04:00 An App Challenge 00:01:00 System Requirements 00:01:00 AppInventor Vs Java and C 00:03:00 Why App Inventor Works 00:02:00 App Architecture 00:05:00 Download and Install App Inventor on Your Device 00:09:00 AppInventor UserInterface With Example 00:14:00 Arduino Coding for Led On Off Practical Example 00:09:00 Making an Android App for Led On Off Practical Example 00:12:00 Testing On Off App with Arduino 00:07:00 Make a Login Protected Led Control App 00:14:00 Slider Application to Control Led Brightness 00:15:00 Slider Practical 00:09:00 Practical Connect Bluetooth Module 00:05:00 RGB Led Controller Android Application 00:14:00 RGB LED Arduino Coding 00:12:00 Sensor Readings Arduino Coding 00:09:00 Sensor Readings Android Application 00:17:00 LCD Text Arduino Coding 00:09:00 LCD Text Android Application 00:06:00 Remote Controlled Robot Android Application 00:09:00 Remote Controlled Robot Arduino Coding 00:15:00 Make Money with MIT App Inventor Apps 00:05:00 Reading Analog Sensor with Arduino Introduction 00:02:00 How to read analogue sensors using Arduino 00:02:00 Software Requirements 00:04:00 Wiring Analog Sensors to Arduino 00:09:00 Writing code to collect reading from analogue sensors 00:07:00 Practical Analogue Sensor Testing 00:03:00 Analyse and convert Sensor Reading 00:03:00 Manipulating Sensors Reading 00:06:00 ADC in Arduino Explained 00:14:00

QLS endorsed Qualification | Fully Online Course | Tutor Support | Well Planed Study Materials

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost