362 Data Visualization courses

***24 Hour Limited Time Flash Sale*** Basics of Data Science - CPD Certified Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter In a world where 2.5 quintillion bytes of data are produced every day, how can professionals leverage this data for strategic decision-making and competitive advantage? In the UK, the data science industry is booming, with an estimated increase in demand for data scientists and analytics professionals by over 28% by 2020. This Basics of Data Science bundle gives you diverse analytical skills to launch or advance your analytics career. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Basics of Data Science bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. 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Data Analyst Business Analyst Data Scientist Marketing Analyst Financial Analyst Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

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Duration 3 Days 18 CPD hours This course is intended for If you have worked in C++ but want to learn how to make the most of this language, especially for large projects, this course is for you. Overview By the end of this course, you'll have developed programming skills that will set you apart from other C++ programmers. After completing this course, you will be able to: Delve into the anatomy and workflow of C++ Study the pros and cons of different approaches to coding in C++ Test, run, and debug your programs Link object files as a dynamic library Use templates, SFINAE, constexpr if expressions and variadic templates Apply best practice to resource management This course begins with advanced C++ concepts by helping you decipher the sophisticated C++ type system and understand how various stages of compilation convert source code to object code. You'll then learn how to recognize the tools that need to be used in order to control the flow of execution, capture data, and pass data around. By creating small models, you'll even discover how to use advanced lambdas and captures and express common API design patterns in C++. As you cover later lessons, you'll explore ways to optimize your code by learning about memory alignment, cache access, and the time a program takes to run. The concluding lesson will help you to maximize performance by understanding modern CPU branch prediction and how to make your code cache-friendly. Anatomy of Portable C++ Software Managing C++ Projects Writing Readable Code No Ducks Allowed ? Types and Deduction C++ Types Creating User Types Structuring our Code No Ducks Allowed ? Templates and Deduction Inheritance, Polymorphism, and Interfaces Templates ? Generic Programming Type Aliases ? typedef and using Class Templates No Leaks Allowed ? Exceptions and Resources Exceptions in C++ RAII and the STL Move Semantics Name Lookup Caveat Emptor Separation of Concerns ? Software Architecture, Functions, and Variadic Templates Function Objects and Lambda Expressions Variadic Templates The Philosophers' Dinner ? Threads and Concurrency Synchronous, Asynchronous, and Threaded Execution Review Synchronization, Data Hazards, and Race Conditions Future, Promises, and Async Streams and I/O File I/O Implementation Classes String I/O Implementation I/O Manipulators Making Additional Streams Using Macros Everybody Falls, It's How You Get Back Up ? Testing and Debugging Assertions Unit Testing and Mock Testing Understanding Exception Handling Breakpoints, Watchpoints, and Data Visualization Need for Speed ? Performance and Optimization Performance Measurement Runtime Profiling Optimization Strategies Cache Friendly Code

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Architecture and course review Post course knowledge check Architecture review Course review

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Also, our Data Engineering Bundle is perfect for: Aspiring data engineers Business intelligence analysts Data-driven marketers IT professionals Statistics enthusiasts Career changers Requirements You will not need any prior background or expertise in the Data Engineering Bundle. Career path This Data Engineering bundle will allow you to kickstart or take your career to the next stage in the related sector such as: Data Analyst BI Developer ML Engineer Data Scientist Database Administrator Data Strategist Certificates CPD Accredited Digital Certificate Digital certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

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This ArcGIS for Hydrology Bundle Package includes: Course 01: Diploma in ArcGIS for Hydrology at QLS Level 4 10 Premium Additional CPD QS Accredited Courses - Course 01: QGIS Cartography Course 02: Spatial Analysis in ArcGIS Course 03: Remote Sensing in ArcGIS Course 04: Python Data Science Course 05: Business Intelligence and Data Mining Diploma Course 06: Spatial Data Visualization and Machine Learning in Python Level 4 Course 07: Create Smart Maps in Python and Leaflet Level 3 Course 08: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 Course 09: Maps in R Shiny and Leaflet Course 10: The Basics of ArcGIS for Hydrology Why Prefer This ArcGIS for Hydrology Bundle? You will receive a completely free certificate from the Quality Licence Scheme Option to purchase 10 additional certificates accredited by CPD Get a free Student ID Card - (£10 postal charges will be applicable for international delivery) Free assessments and immediate success results 24/7 Tutor Support After taking this ArcGIS for Hydrology bundle courses, you will be able to learn: Develop a deep understanding of hydrology and its applications Master the use of ArcGIS and QGIS for cartography and spatial analysis Learn how to use Python for data science, machine learning, and web scraping Enhance your data visualisation skills in ArcGIS and Python Gain expertise in creating smart maps and web applications using Leaflet and R Shiny Understand the basics of hydrology in ArcGIS for beginners Earn QLS-endorsed and CPD-QS accredited certificates to showcase your skills and knowledge. ***Curriculum breakdown of ArcGIS for Hydrology*** Section 01: Introduction to ArcGIS software Introduction to GIS Introduction to ArcGIS software Selection by Location, attributes, clip features and tables to Excel Performing actions on the data: change the projections, dissolve, clip From .TXT and .DXF to shapefile Calculations with attribute table and KML files in ArcMap Export from ArcMap to PDF ArcScene 3D GIS Example Test AutoCAD fixing polygon coordinates Section 02: ArcGIS for Hydrology Download hydrological data Calculate flow direction and flow accumulation Watershed delineation Clip layers to watershed boundary Stream segments and catchments areas Stream order convert to vector Spatial join to catchments Join stream id to stream order Map data and initial layout Add and format map elements How is the ArcGIS for HydrologyBundle Assessment Process? You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams. CPD 220 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is perfect for: Environmentalists, geologists, hydrologists, and scientists GIS professionals, software engineers, and developers Students and researchers in the fields of hydrology and environmental sciences Anyone interested in learning about hydrology and its practical applications. Career path Here are a few options that people explore in this industry: GIS Analyst: £22,000 - £36,000 per year Hydrologist: £25,000 - £45,000 per year Environmental Scientist: £24,000 - £40,000 per year Data Scientist: £35,000 - £75,000 per year Web Developer: £24,000 - £50,000 per year Machine Learning Engineer: £45,000 - £85,000 per year Certificates CPD QS Accredited Certificate Digital certificate - Included Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally. CPD QS Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location. Diploma in ArcGIS for Hydrology at QLS Level 4 Hard copy certificate - Included

Get ready for an exceptional online learning experience with the Data Analysis, Data Science, Data Protection, Business Analysis, Python & Excel bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The Data Analysis & Data Protectionl is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, theData Analysis & Data Protection package has something for everyone. As part of the Data Analysis, Data Science, Data Protection, Business Analysis, Python & Excel package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Data Analysis & Data Protection bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This Bundle Comprises the Following Data Analysis, Data Science, Data Protection, Business Analysis, Python & Excel CPD-accredited courses: Course 01: Data Analytics Course 02: Diploma in Data Analytics with Tableau Course 03: Google Data Studio: Data Analytics Course 04: Business Intelligence Analyst Course 05: Diploma in Business Analysis Course 06: Data Science & Machine Learning with Python Course 07: Spatial Data Visualization and Machine Learning in Python Course 08: Python Programming: Beginner To Expert Course 09: SQL For Data Analytics & Database Development Course 10: Easy to Advanced Data Structures Course 11: R Programming for Data Science Course 12: Data Center Training Essentials: General Introduction Course 13: Data Analysis In Excel Course 14: Data Protection Course 15: Microsoft Excel Complete Course Course 16: Career Development Plan Fundamentals Course 17: CV Writing and Job Searching Course 18: Learn to Level Up Your Leadership Course 19: Networking Skills for Personal Success Course 20: Ace Your Presentations: Public Speaking Masterclass What will make you stand out? Upon completion of this online Data Analysis, Data Science, Data Protection, Business Analysis, Python & Excel bundle, you will gain the following: CPD QS Accredited Proficiency with this Data Analysis & Data Protection bundle After successfully completing the Data Analysis & Data Protection bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials of this Data Analysis & Data Protection bundle The online test with immediate results You can study and complete the Data Analysis & Data Protection bundle at your own pace. Study for the Data Analysis & Data Protection bundle using any internet-connected device, such as a computer, tablet, or mobile device. Each course in this Data Analysis, Data Science, Data Protection, Business Analysis, Python & Excel bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Data Analysis & Data Protection bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with Data Analysis, Data Science, Data Protection, Business Analysis, Python & Excel, a rich anthology of 30 diverse courses. Our experts handpick each course in the Data Analysis & Data Protection bundle to ensure a wide spectrum of learning opportunities. This Data Analysis & Data Protection bundle will take you on a unique and enriching educational journey. The Data Analysis, Data Science, Data Protection, Business Analysis, Python & Excel bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Data Analysis & Data Protection bundle offers you the flexibility and convenience to learn at your own pace. Make the Data Analysis & Data Protection package your trusted companion in your lifelong learning journey. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Data Analysis, Data Science, Data Protection, Business Analysis, Python & Excel bundle is perfect for: Start Your Data Journey: Ideal for those new to data analysis or looking to enhance their skills. Data-Driven Business: Perfect for business professionals who want to leverage data for better decisions. Aspiring Data Scientist: Excellent for those eager to learn advanced data science techniques. Data Compliance Expertise: Great for privacy and compliance officers needing data protection knowledge. Lifelong Data Learner: Beneficial for individuals who want to combine Python and Excel for data analysis. Requirements You are warmly invited to register for this Data Analysis, Data Science, Data Protection, Business Analysis, Python & Excel bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Upon Data Analysis, Data Science, Data Protection, Business Analysis, Python & Excel course completion, you can expect to: Data Analyst Data Scientist Business Analyst Data Protection Officer Data Engineer Machine Learning Engineer Data Consultant Operations Analyst Marketing Analyst Project Manager Certificates 20 CPD Quality Standard Pdf Certificates Digital certificate - Included