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Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free
24 Hour Flash Deal **25-in-1 Industrial Design: Creating Functional and Aesthetic Products Mega Bundle** Industrial Design: Creating Functional and Aesthetic Products Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Industrial Design: Creating Functional and Aesthetic Products package online with Studyhub through our online learning platform. The Industrial Design: Creating Functional and Aesthetic Products bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Industrial Design: Creating Functional and Aesthetic Products course provides complete 360-degree training on Industrial Design: Creating Functional and Aesthetic Products. 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Here's what you get: Step by step Industrial Design: Creating Functional and Aesthetic Products lessons One to one assistance from Industrial Design: Creating Functional and Aesthetic Productsprofessionals if you need it Innovative exams to test your knowledge after the Industrial Design: Creating Functional and Aesthetic Productscourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Industrial Design: Creating Functional and Aesthetic Products courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Industrial Design: Creating Functional and Aesthetic Products certificate and transcript on the next working day Easily learn the Industrial Design: Creating Functional and Aesthetic Products skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Industrial Design: Creating Functional and Aesthetic Products training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Industrial Design: Creating Functional and Aesthetic Products Requirements To participate in this Industrial Design: Creating Functional and Aesthetic Products course, all you need is - A smart device A secure internet connection And a keen interest in Industrial Design: Creating Functional and Aesthetic Products Career path You will be able to kickstart your Industrial Design: Creating Functional and Aesthetic Products career because this course includes various courses as a bonus. This Industrial Design bundle is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Industrial Design: Creating Functional and Aesthetic Products career opportunities. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free
Duration 3 Days 18 CPD hours Overview The goal of this course is to enable technical students new to Cassandra to begin working with Cassandra in an optimal manner. Throughout the course students will learn to: Understand the Big Data needs that C* addresses Be familiar with the operation and structure of C* Be able to install and set up a C* database Use the C* tools, including cqlsh, nodetool, and ccm (Cassandra Cluster Manager) Be familiar with the C* architecture, and how a C* cluster is structured Understand how data is distributed and replicated in a C* cluster Understand core C* data modeling concepts, and use them to create well-structured data models Be familiar with the C* eventual consistency model and use it intelligently Be familiar with consistency mechanisms such as read repair and hinted handoff Understand and use CQL to create tables and query for data Know and use the CQL data types (numerical, textual, uuid, etc.) Be familiar with the various kinds of primary keys available (simple, compound, and composite primary keys) Be familiar with the C* write and read paths Understand C* deletion and compaction The Cassandra (C*) database is a massively scalable NoSQL database that provides high availability and fault tolerance, as well as linear scalability when adding new nodes to a cluster. It has many powerful capabilities, such as tunable and eventual consistency, that allow it to meet the needs of modern applications, but also introduce a new paradigm for data modeling that many organizations do not have the expertise to use in the best way.Introduction to Cassandra is a hands-on course designed to teach attendees the basics of how to create good data models with Cassandra. This technical course has a focus on the practical aspects of working with C*, and introduces essential concepts needed to understand Cassandra, including enough coverage of internal architecture to make good decisions. It is hands-on, with labs that provide experience in core functionality. Students will also explore CQL (Cassandra Query Language), as well as some of the ?anti-patterns? that lead to non-optimal C* data models and be ready to work on production systems involving Cassandra. Session 1: Cassandra Overview Why We Need Cassandra - Big Data Challenges vs RDBMS High level Cassandra Overview Cassandra Features Optional: Basic Cassandra Installation and Configuration Session 2: Cassandra Architecture and CQL Overview Cassandra Architecture Overview Cassandra Clusters and Rings Nodes and Virtual Nodes Data Replication in Cassandra Introduction to CQL Defining Tables with a Single Primary Key Using cqlsh for Interactive Querying Selecting and Inserting/Upserting Data with CQL Data Replication and Distribution Basic Data Types (including uuid, timeuuid) Session 3: Data Modeling and CQL Core Concepts Defining a Compound Primary Key CQL for Compound Primary Keys Partition Keys and Data Distribution Clustering Columns Overview of Internal Data Organization Overview of Other Querying Capabilities ORDER BY, CLUSTERING ORDER BY, UPDATE , DELETE, ALLOW FILTERING Batch Queries Data Modeling Guidelines Denormalization Data Modeling Workflow Data Modeling Principles Primary Key Considerations Composite Partition Keys Defining with CQL Data Distribution with Composite Partition Key Overview of Internal Data Organization Session 4: Additional CQL Capabilities Indexing Primary/Partition Keys and Pagination with token() Secondary Indexes and Usage Guidelines Cassandra collections Collection Structure and Uses Defining and Querying Collections (set, list, and map) Materialized View Overview Usage Guidelines Session 5: Data Consistency In Cassandra Overview of Consistency in Cassandra CAP Theorem Eventual (Tunable) Consistency in C* - ONE, QUORUM, ALL Choosing CL ONE Choosing CL QUORUM Achieving Immediate Consistency Overview of Other Consistency Levels Supportive Consistency Mechanisms Writing / Hinted Handoff Read Repair Nodetool repair Session 6: Internal Mechanisms Ring Details Partitioners Gossip Protocol Snitches Write Path Overview / Commit Log Memtables and SSTables Write Failure Unavailable Nodes and Node Failure Requirements for Write Operations Read Path Overview Read Mechanism Replication and Caching Deletion/Compaction Overview Delete Mechanism Tombstones and Compaction Session 7: Working with IntelliJ Configuring JDBC Data Source for Cassandra Reading Schema Information Querying and Editing Tables. Additional course details: Nexus Humans Introduction to Cassandra (TTDS6776) 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 Introduction to Cassandra (TTDS6776) 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.
The aim of the course Bonds Analysis and Valuation is to provide students with the skills and knowledge necessary to analyze and value fixed-income securities. Through this course, students will learn how to evaluate bond characteristics, assess risks, and determine fair value, which are essential skills for a career in finance or investment management.After the successful completion of the course, you will be able to learn about the following, Understand the nature of Bonds and Bond Yields. Understand the process and techniques of Bond Valuation. Understand What are derivatives and their types. The course Bonds Analysis and Valuation is designed to provide students with an in-depth understanding of fixed-income securities. Through this course, students will learn about different types of bonds, bond pricing, yield curves, and interest rate risk. Additionally, students will develop skills in financial modeling and analysis, which are essential for careers in investment management, banking, and corporate finance. The course Bonds Analysis and Valuation is designed to provide students with an in-depth understanding of fixed income securities. Through this course, students will learn about different types of bonds, bond pricing, yield curves, and interest rate risk. Additionally, students will develop skills in financial modeling and analysis, which are essential for careers in investment management, banking, and corporate finance. 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. Bonds Analysis and Valuation Self-paced pre-recorded learning content on this topic. Bonds Analysis and Valuation 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. CEO, Director, Manager, Supervisor Fixed Income Analyst Bond Trader Portfolio Manager Credit Risk Analyst Investment Banker Quantitative Analyst Credit Research Analyst Treasury Analyst Asset Management Associate Financial Consultant 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.
Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist Overview Describe end-to-end analytics in Microsoft Fabric Describe core features and capabilities of lakehouses in Microsoft Fabric Create a lakehouse Ingest data into files and tables in a lakehouse Query lakehouse tables with SQL Configure Spark in a Microsoft Fabric workspace Identify suitable scenarios for Spark notebooks and Spark jobs Use Spark dataframes to analyze and transform data Use Spark SQL to query data in tables and views Visualize data in a Spark notebook Understand Delta Lake and delta tables in Microsoft Fabric Create and manage delta tables using Spark Use Spark to query and transform data in delta tables Use delta tables with Spark structured streaming Describe Dataflow (Gen2) capabilities in Microsoft Fabric Create Dataflow (Gen2) solutions to ingest and transform data Include a Dataflow (Gen2) in a pipeline This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. Introduction to end-to-end analytics using Microsoft Fabric Explore end-to-end analytics with Microsoft Fabric Data teams and Microsoft Fabric Enable and use Microsoft Fabric Knowledge Check Get started with lakehouses in Microsoft Fabric Explore the Microsoft Fabric Lakehouse Work with Microsoft Fabric Lakehouses Exercise - Create and ingest data with a Microsoft Fabric Lakehouse Use Apache Spark in Microsoft Fabric Prepare to use Apache Spark Run Spark code Work with data in a Spark dataframe Work with data using Spark SQL Visualize data in a Spark notebook Exercise - Analyze data with Apache Spark Work with Delta Lake Tables in Microsoft Fabric Understand Delta Lake Create delta tables Work with delta tables in Spark Use delta tables with streaming data Exercise - Use delta tables in Apache Spark Ingest Data with DataFlows Gen2 in Microsoft Fabric Understand Dataflows (Gen2) in Microsoft Fabric Explore Dataflows (Gen2) in Microsoft Fabric Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric
Description Fundamentals of Mechatronics Diploma The Fundamentals of Mechatronics Diploma is a comprehensive online course tailored for those looking to gain in-depth knowledge about the intersection of mechanical engineering, electronics, computer intelligence, and control engineering. As the world continues its rapid advance towards automation and sophisticated systems integration, mechatronics stands as one of the forefronts of this revolution. This diploma not only provides a solid foundation in mechatronics but also equips learners with the practical skills required to design and develop advanced mechatronic systems. Starting with an Introduction to Mechatronics, the course paves the way for learners by outlining the core concepts and principles that underpin this multidisciplinary field. As you progress, you'll explore the Elements and Components of Mechatronic Systems, understanding the intricacies of the systems that form the backbone of modern automation and robotics. A significant part of the Fundamentals of Mechatronics Diploma is dedicated to the Modeling and Simulation of Mechatronic Systems. This module aids students in visualising and predicting how different systems will interact and behave. This is crucial for anyone looking to design or troubleshoot complex mechatronic systems. Interfacing and Signal Conditioning for Mechatronics follow, highlighting the importance of seamless communication between various mechatronic components. Here, you'll learn how to ensure the proper transmission and reception of signals, ensuring optimal system performance. Errors can be costly, especially in precision-driven mechatronic systems. That's why the course covers Error Analysis and Instrumentation for Mechatronics, giving you the tools and knowledge to spot inaccuracies and calibrate systems accordingly. Next up, the Sensors and Actuators in Mechatronics section dives into the components that serve as the eyes, ears, and limbs of these systems. Grasp how these elements detect environmental changes and respond accordingly, playing a pivotal role in the system's overall functionality. Every mechatronic system relies on some form of digital backbone. With the Digital Hardware and Microcontrollers in Mechatronics section, understand the role of these digital brains in controlling and overseeing the system's operations. As the course progresses to Control Systems for Mechatronics, students learn about the algorithms and mechanisms that keep these complex systems in check. This understanding ensures mechatronic designs function as intended, with precision and reliability. The Mechatronic System Design and Development segment ties everything together, allowing learners to apply their accumulated knowledge in real-world scenarios, crafting systems that are both innovative and functional. To wrap it all up, the Emerging Trends in Mechatronics module offers a glimpse into the future. Stay abreast of the latest developments and innovations, ensuring you remain a relevant and informed professional in the field. Enrolling in the Fundamentals of Mechatronics Diploma is a decision to embrace the future of engineering and technology. Designed with clarity and depth, this online course offers a blend of theoretical knowledge and practical insights, setting the stage for a promising career in mechatronics. Whether you're a budding engineer, a professional looking to upscale, or simply someone intrigued by the melding of mechanical and electronic realms, this diploma stands as your comprehensive guide. Join today and embark on a journey of discovery in the dynamic world of mechatronics. What you will learn 1:Introduction to Mechatronics 2:Elements and Components of Mechatronic Systems 3:Modeling and Simulation of Mechatronic Systems 4:Interfacing and Signal Conditioning for Mechatronics 5:Error Analysis and Instrumentation for Mechatronics 6:Sensors and Actuators in Mechatronics 7:Digital Hardware and Microcontrollers in Mechatronics 8:Control Systems for Mechatronics 9:Mechatronic System Design and Development 10:Emerging Trends in Mechatronics 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.
Welcome to the Blender to Unreal Engine 3D Props Medieval Market Stall course. In this course, we will be creating a medieval market stall game asset incorporating cloth simulation. One of the best parts of the course is finding out a clever way of distributing numerous vegetables in a crate using an emitter.
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Get the Overview of What You'll Learn Module 02: Planning your Financial Model Module 03: Building a Model Template Module 04: Projecting the Income Statement Module 05: Projecting the Balance Sheet Module 06: Projecting Cash Flows Module 07: Advanced Financial Modeling Module 08: BONUS LESSON: Top 5 Excel Features for Financial Modellers >> Financial Analysis Course << Module 01: Introduction to Financial Analysis Module 02: The Balance Sheet Module 03: The Income Statement Module 04: The Cash Flow Statement Module 05: Financial Reporting Module 06: Analysing Profitability Module 07: The Applications and Limitations of EBITDA Module 08: Credit Analysis Module 09: Equity Analysis Module 10: Ratio Analysis >> Financial Management << Module 01: Introduction to Financial Management Module 02: Fundamentals of Budgeting Module 03: The Balance Sheet Module 04: The Income Statement Module 05: The Cash Flow Statement Module 06: Statement of Stockholders' Equity Module 07: Analysing and Interpreting Financial Statements Module 08: Inter-Relationship Between all the Financial Statements Module 09: International Aspects of Financial Management >> Financial Trading Course & Mentoring << Module 01: Introduction to Forex Trading Module 02: Major Currencies and Market Structure Module 03: Kinds of Foreign Exchange Market Module 04: Money Management Module 05: Fundamental Analysis Module 06: Technical Analysis Module 07: Pitfalls and Risks Module 08: Managing Risk Module 09: Trading Psychology >> Investment << Module 01: Introduction to Investment Module 02: Types and Techniques of Investment Module 03: Key Concepts in Investment Module 04: Understanding the Finance Module 05: Investing in Bond Market Module 06: Investing in Stock Market Module 07: Risk and Portfolio Management >> Microsoft Project - Monitoring << Module 01: Getting Started with Microsoft Project Module 02: Working with Tasks Module 03: Working with Project Resources Module 04: Preparing a Project Plan for Finalization Module 05: Microsoft Project 2016 Advanced Module 06: Updating Task Information Module 07: Monitoring a Project Module 08: Working with Project Reports Module 09: Working with Other Projects >> Excel Data Analysis << Module 01: Excel data analysis - 1 Module 02: Excel data analysis - 2 Module 03: Excel data analysis - 3 Module 04: Excel data analysis - 4 Module 05: Excel data analysis - 5 Module 06: Excel data analysis - 6 Module 07: Excel data analysis - 7 Module 08: Excel data analysis - 8 Module 09: Excel data analysis - 9 >> Anti-Money Laundering (AML) << Module 01: Introduction to Money Laundering Module 02: Proceeds of Crime Act 2002 Module 03: Development of Anti-Money Laundering Regulation Module 04: Responsibility of the Money Laundering Reporting Office Module 05: Risk-based Approach Module 06: Customer Due Diligence Module 07: Record Keeping Module 08: Suspicious Conduct and Transactions Module 09: Awareness and Training >> Tax Accounting Course << Module 01: Tax System and Administration in the UK Module 02: Tax on Individuals Module 03: National Insurance Module 04: How to Submit a Self-Assessment Tax Return Module 05: Fundamentals of Income Tax Module 06: Payee, Payroll and Wages Module 07: Value Added Tax Module 08: Corporation Tax Module 09: Double Entry Accounting Module 10: Management Accounting and Financial Analysis Module 11: Career as a Tax Accountant in the UK Assessment Process Once you have completed all the modules in the FinTech Bundle, you can assess your skills and knowledge with an optional assignment. 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