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***24 Hour Limited Time Flash Sale*** Data Visualisation Professional - CPD Certified Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Data Visualisation Professional - CPD Certified Bundle provides unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Data Visualisation Professional - CPD Certified bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. But that's not all. When you enrol in Data Visualisation Professional - CPD Certified Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this Data Visualisation Professional - CPD Certified Career Bundle: Course 01: Master JavaScript with Data Visualization Course 02: SQL for Data Science, Data Analytics and Data Visualization Course 03: Spatial Data Visualization and Machine Learning in Python Course 04: Data Analysis Course 05: Excel Data Analysis Course 06: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 07: Python Programming Bible Course 08: Python Data Science with Numpy, Pandas and Matplotlib Course 09: Data Science & Machine Learning with Python Course 10: Statistics & Probability for Data Science & Machine Learning Course 11: R Programming for Data Science Course 12: Quick Data Science Approach from Scratch Course 13: Mastering SQL Programming Course 14: Learn Python, JavaScript, and Microsoft SQL for Data science Course 15: Web Scraping and Mapping Dam Levels in Python and Leaflet Course 16: Business Data Analysis Course 17: Business Intelligence and Data Mining Diploma Course 18: Google Data Studio: Data Analytics Course 19: Google Analytics for Everyone Course 20: Big Data Analytics with PySpark Tableau Desktop and MongoDB Course 21: Big Data Analytics with PySpark Power BI and MongoDB Course 22: Introduction to Data Analytics with Tableau Course 23: Microsoft Power BI - Master Power BI in 90 Minutes! Course 24: PowerBI Formulas Course 25: Develop Big Data Pipelines with R & Sparklyr & Tableau Course 26: Develop Big Data Pipelines with R, Sparklyr & Power BI Course 27: Microsoft Access Tables and Queries Course 28: Statistical Analysis Course 29: Research Methods in Business Course 30: Customer Analytics Training With Data Visualisation Professional - CPD Certified, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner. Don't let this opportunity pass you by. Enrol in Data Visualisation Professional - CPD Certified today and take the first step towards achieving your goals and dreams. Why buy this Data Visualisation Professional - CPD Certified? Free CPD Accredited Certificate upon completion of Data Visualisation Professional - CPD Certified Get a free student ID card with Data Visualisation Professional - CPD Certified Lifetime access to the Data Visualisation Professional - CPD Certified course materials Get instant access to this Data Visualisation Professional - CPD Certified course Learn Data Visualisation Professional - CPD Certified from anywhere in the world 24/7 tutor support with the Data Visualisation Professional - CPD Certified course. Start your learning journey straightaway with our Data Visualisation Professional - CPD Certified Training! Data Visualisation Professional - CPD Certified premium bundle consists of 30 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of the Data Visualisation Professional - CPD Certified is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Data Visualisation Professional - CPD Certified course. After passing the Data Visualisation Professional - CPD Certified exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Visualisation Professional - CPD Certified course is ideal for: Students seeking mastery in Data Visualisation Professional - CPD Certified Professionals seeking to enhance Data Visualisation Professional - CPD Certified skills Individuals looking for a Data Visualisation Professional - CPD Certified-related career. Anyone passionate about Data Visualisation Professional - CPD Certified Requirements This Data Visualisation Professional - CPD Certified doesn't require prior experience and is suitable for diverse learners. Career path After the assessment, you will be ready for countless job opportunities. Some of them are- Business Analyst Business Intelligence Analyst Analytics Manager Data Analyst Data Scientist However, in the growing market of the UK, these professionals are expected to earn between £25k to £80k yearly on average. 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.

About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

10 QLS Endorsed Courses for Developer | 10 Endorsed Certificates Included | Life Time Access

10 QLS Endorsed Courses for Pentest Programmer | 10 Endorsed Certificates Included | Life Time Access

In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.

Learn core Apache Kafka features along with creating Java, Node.js and Python producers and consumers

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) 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.

Bring Your Data To Life | Designed by Industry Specialist | Level 7 | QLS Endorsed Diploma | Certificate Included

In the fast-evolving landscape of UK DevOps engineering, the demand for skilled professionals has reached unprecedented levels. Recent challenges in the industry underscore the need for adept DevOps Engineers who seamlessly integrate web development, programming, and Linux proficiency. Our CPD Certified DevOps Engineer course is meticulously crafted to address these demands, offering a comprehensive journey through web development, Linux mastery, and specialised programming languages. Embrace a transformative learning experience that not only equips you with essential technical skills but also positions you at the forefront of the DevOps revolution in the UK. This DevOps Engineer - CPD Certified Bundle Consists of the following Premium courses: Course 01: Complete Web Development Course 02: Linux for Cloud and DevOps Engineers Course 03: Computer Programming Specialist Certificate Course 04: Basic C# Coding Course 05: C# Basics Course 06: JavaScript Functions Course 07: PHP Web Development with MySQL; GitHub & Heroku Course 08: ASP.Net MVC and Entity Framework Course Course 09: Learn Spring & Angular Material with a Full Web Application Course 10: Build Progressive Web Apps with Angular Course 11: Computer Science with Python Course Course 12: JavaScript Foundations for Everyone Course 13: Learn to Code HTML, CSS & Javascript Course 14: Asynchronous JavaScript Basics Course 15: Node JS: API Development with Swagger Interface Description Language Course 16: Mobile and Web Development with Ionic & Angular JS Course 17: Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML Course 18: Basics of WordPress: Create Unlimited Websites Course 19: Master JavaScript with Data Visualization Course 20: Web Applications for Specialisation on Development 10 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01: Effective Communication Skills Diploma Course 02: Business Networking Skills Course 03: Influencing and Negotiation Skills Course 04: Delegation Skills Training Course 05: Time Management Course 06: Leadership Skills Training Course 07: Decision Making and Critical Thinking Online Course Course 08: Emotional Intelligence and Social Management Diploma Course 09: Assertiveness Skills Course 10: Touch Typing Complete Training Diploma Learning Outcomes: Upon completion of this DevOps Engineer - CPD Certified bundle, you should be able to: Proficiency in complete web development and Linux for DevOps. Mastery in C# coding, ASP.Net MVC, and Entity Framework. Fluency in JavaScript, including advanced functions and asynchronous basics. Competence in mobile and web development with Ionic & Angular JS. Expertise in Python for computer science and data visualisation. Ability to create unlimited websites using WordPress and JavaScript. As you embark on this CPD-certified journey, you'll unravel the intricacies of complete web development fortified by Linux expertise. From mastering C# and JavaScript to delving into the realms of ASP.Net MVC and Entity Framework, this course ensures a holistic understanding of the technologies shaping the industry. Elevate your capabilities by building progressive web apps, exploring Python in computer science, and conquering the nuances of mobile and web development with Ionic & Angular JS. Join us to unlock the keys to success in the world of DevOps engineering, making an impact that echoes throughout the UK tech industry. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals aspiring to become DevOps Engineers. Web developers looking to enhance their Linux proficiency. Programmers seeking expertise in C# and JavaScript. Tech enthusiasts interested in ASP.Net MVC and Entity Framework. Those wanting to excel in mobile and web development. Individuals keen on mastering Python for data visualisation. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Requirements To participate in this DevOps Engineer course, all you need is - A smart device A secure internet connection And a keen interest in DevOps Engineer AWS Certified DevOps Engineer - Professional Career path Web Developer: •40,000 - •60,000 DevOps Engineer: •45,000 - •70,000 Full-Stack Developer: •50,000 - •75,000 Software Engineer: •45,000 - •65,000 JavaScript Developer: •40,000 - •60,000 Systems Administrator: •35,000 - •55,000 Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! Have you ever looked at a map and wondered how it was created? Have you ever wanted to gain the skills to analyse spatial data? Look no further than our Spatial Analysis in ArcGIS bundle. With our QLS-endorsed Spatial Analysis in ArcGIS course, you'll gain a deep understanding of geographic information systems and how to utilise ArcGIS software for spatial data analysis. Plus, receive a free QLS hardcopy certificate upon completion, an essential addition to your credentials. But the learning doesn't stop there. Our bundle includes ten more relevant courses, all CPD-QS accredited. From ArcGIS for Hydrology to Web Scraping and Mapping Dam Levels in Python and Leaflet, you'll gain a comprehensive skill set in the field of spatial analysis. Don't just take our word for it. Our courses have been meticulously designed by experienced people to provide you with a theoretical understanding of the subject matter. And with our user-friendly platform, you can learn at your own pace and convenience. Unlock the power of spatial analysis with our bundle today. Enrol now and start your journey towards becoming a skilled spatial analyst. This Spatial Analysis in ArcGIS Bundle Package includes: Course 01: Award in Spatial Analysis in ArcGIS at QLS Level 2 10 Premium Additional CPD QS Accredited Courses - Course 01: ArcGIS for Hydrology Course 02: Remote Sensing in ArcGIS Course 03: QGIS Cartography Course 04: Business Intelligence and Data Mining Diploma Course 05: Python Data Science Course 06: Spatial Data Visualization and Machine Learning in Python Level 4 Course 07: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 Course 08: Learn to Use Python for Spatial Analysis in ArcGIS Course 09: Maps in R Shiny and Leaflet Course 10: The Basics of ArcGIS for Hydrology Why Prefer This Spatial Analysis in ArcGIS 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 Spatial Analysis in ArcGIS bundle courses, you will be able to learn: Develop a comprehensive understanding of spatial analysis and its applications in the industry. Gain practical experience using ArcGIS software for spatial data analysis and hydrology. Learn to use remote sensing techniques in ArcGIS for data collection and analysis. Master the art of cartography using QGIS software. Gain expertise in business intelligence, data mining, and data science using Python. Explore spatial data visualisation and machine learning using Python. Learn how to use R Shiny and Leaflet for creating interactive maps. ***Curriculum breakdown of Spatial Analysis in ArcGIS*** Module 01: Point Density Analysis Module 02: Raster Calculator and Vector Isolation Module 03: Raster to Topography Module 04: Raster Reclassification Module 05: Raster Overlay Module 06: Slope Analysis and Hydrology tools Module 07: Introduction to TIFF Files Module 08: Introduction to 3D Surfaces Module 09: Satellite Images and TIN Surfaces Module 10: Exercise How is the Spatial Analysis in ArcGIS Bundle 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 160 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals looking to expand their skill set in the field of spatial analysis. Graduates seeking to enhance their employability in the GIS industry. Individuals seeking to understand spatial data analysis for research purposes. Students pursuing a degree in GIS or a related field. Career path This bundle will be beneficial for anyone looking to pursue a career as: GIS Analyst: £22,000 - £35,000 per annum. GIS Developer: £30,000 - £50,000 per annum. Spatial Data Scientist: £30,000 - £70,000 per annum. Data Analyst: £25,000 - £40,000 per annum. Business Intelligence Analyst: £35,000 - £60,000 per annum. Hydrologist: £25,000 - £40,000 per annum. Certificates Award in Spatial Analysis in ArcGIS at QLS Level 2 Hard copy certificate - Included After successfully completing the course, you can order an original hardcopy Certificate of Achievement endorsed by the Quality Licence Scheme. This certificate will be delivered to your home, free of charge. To obtain the additional Quality Licence Scheme Endorsed Certificate, you will need to pay the corresponding fee based on the level of the courses: Level 1: £59 Level 2: £79 Level 3: £89 Level 4: £99 Level 5: £119 Level 6: £129 Level 7: £139 CPD QS Accredited Certificate Digital certificate - £10 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 and will cost you £10 for each course. Also, the certificates are recognised throughout the UK and internationally. CPD QS Accredited Certificate Hard copy certificate - £29 International students are subject to a £10 delivery fee for their orders, based on their location.