Data Science Big & Data Courses

In this Introduction to Machine Learning course, you'll create and train models using no-code solutions, drag-and-drop tools, prepare and analyze data, and explore ready-to-use models for various tasks.

No Code Machine Learning, Data Evaluation, Prediction, Analysis, Optimization, Non-Technical Users, Technical Data Users, Business Analysts, Data Scientists, Data Engineers, In-Person Training, Online Training, Machine Learning Models, Drag-and-Drop Tools, Data Preparation, Data Analysis, Pre-built Pipelines, Algorithms, Natural Language Processing, Computer Vision, Clustering Models, Regression Models, Classification Models, Microsoft Azure, Amazon AWS, Datasets, Machine Learning Platforms, Visual Tools, Point-and-Click Tools, Training Models, Machine Learning Use Cases, Numeric Value Prediction, Item Categorization, No Coad Machine Lerning, Data Evalution, Predikshon, Analyzis, Optimezation, Non-Technikal Users, Teknical Data Usars, Bisness Analysts, Datta Scintists, Data Engeneers, In-Persun Training, Onlein Training, Mashine Learning Modles, Drag-and-Droop Toools, Data Preparashon, Data Analyzis, Pre-bilt Pipelins, Algorithems, Natchural Language Procesing, Computor Vizion, Clusturing Modals, Regreshion Modles, Classificashun Modles, Microsoft Azur, Amazun AWS, Datasits, Mashine Lerning Platfarms, Vizual Toools, Point-and-Clik Toools, Training Modles, Mashine Lerning Uce Cases, Numeric Valeu Prediction, Itum Categorizashon, No Code Machine Learning, Datautvärdering, Prediktion, Analys, Optimering, Icke-tekniska Användare, Tekniska Dataanvändare, Affärsanalytiker, Dataforskare, Dataingenjörer, Utbildning På Plats, Onlineutbildning, Maskininlärningsmodeller, Dra-och-Släpp-Verktyg, Datapreparering, Dataanalys, Förbyggda Pipelines, Algoritmer, Naturlig Språkbehandling, Datorseende, Klustermodeller, Regressionsmodeller, Klassificeringsmodeller, Microsoft Azure, Amazon AWS, Dataset, Maskininlärningsplattformar, Visuella Verktyg, Pek-och-Klicka-Verktyg, Träna Modeller, Användningsfall för Maskininlärning, Prediktion av Numeriska Värden, Kategorisering av Föremål

This hands-on introduction takes you on a transformative journey from raw data to invaluable insights, leveraging the power of data and AI.

Introduction to Big Data, Big Data training, data science training, store data, manage data, process data, analyze data, structured data, unstructured data, meaningful insights, live training, instructor-led training, on-demand training, blended training, output, tool, skills, massive amounts, real business gain, Big Data traning, data scinece training, strucutred data, unstrucutred data, meaingful insights, live trining, on-deman training, instrctor-led training.

Join our hands-on 2-day course to build practical skills in NLP and Generative AI training to develop advanced AI models like ChatGPT from OpenAI.

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Attend this hands-on Jupyter Notebooks & Python course & learn Anaconda distribution libraries, explore machine learning models with real datasets & more.

Applied Data Science, Python, Jupyter, Anaconda, machine learning, datasets, data processing, pipelines, visualizations, prediction models, skills, real world, professions, industries, open source, Notebooks, programming fundamentals, experience, libraries, Pandas, Matplotlib, scikit-learn. Apliced, DatA syenc, Jupitar, Anacodna, machin larning, data sets, visulizations, programing, Pandes, Maplotlib, scikit, sklearn.

This AI ML Data Science Python course teaches you how to use Python libraries to build, evaluate, & deploy Machine Learning & Artificial Intelligence models.

Introduction to Data Science, Machine Learning & AI using Python, CHAT GPT, , CHAT , CHAT GPTT, AI ML Data Science Python Course, Data Science, Python, Machine Learning, Artificial Intelligence, Course, Training, Libraries, Build, Evaluate, Deploy, Models, Insights, Data, Lifecycle, Manage, Transform, Visualize, Raw Data, Predictive Models, Future Opportunities, Mis-spellings Datascience, Pyton, Machin Learnin, Artifical Intelligance, Traning, Libaries, Insigts, Lyfecycle, Manag, Transfrm, Vizualize, Predective, Modles.

In this Introduction to Julia Programming for Artificial Intelligence course, learn the fundamentals of coding in Julia.

CHAT GPT, , CHAT , CHAT GPTT, Julia programming, machine learning, artificial intelligence, development environment, high performance, scripting environment, Python, compiled languages, C, Fortran, coding, programming techniques, cutting-edge, fundamentals, algorithms, AI, ML, Juila programming, masheen learning, artifical inteligence, devlopment environment, high performence, scriping environment, Pyton, compiled langauges, C, Fortan, codng, programming techniqus, cuting-edge, algorithims, A.I., M.L.

Work with time series data and R statistical modeling language in the Time Series Analysis Using R course.

r, Microsoft r, time series, data points, chronologically, finance, stock prices, marketing, new customers, sales, health, infections, deaths, science, earthquakes, analysis, R, statistics, forecasting, trend analysis, seasonality, autocorrelation, time sereis, dat apoints, financ, stalk prices, markeitng, helth, infetions, deths, scienc, eartquakes, analisys, Ahr, stattistics, forcasting, treand analysis, seasonaltiy, autocorellation, r, Microsoft r, time series analysis, R, chronologically, finance, stock prices, marketing, new customers, sales, health, infections, deaths, science, earthquakes, data points, contexts, trends, forecasting, modeling, seasonality, autocorrelation, outliers, time serie analysis, time series analisys, R programming, stock price analysis, sales trend analysis, health data analysis, earthquake forecasting, time series modeling. tidsserieanalys, R, kronologiskt, finans, aktiepriser, marknadsföring, nya kunder, försäljning, hälsa, infektioner, dödsfall, vetenskap, jordbävningar, datapunkter, sammanhang, trender, prognoser, modellering, säsongsvariation, autokorrelation, avvikande värden, stavfel tidsserieanalys, tidsserieanalys, R-programmering, analys av aktiepriser, analys av försäljningstrender, analys av hälsodata, prognos av jordbävningar, tidsseriemodellering.

Learn NLP techniques & neural network architecture selection in this course on Natural Language Processing.

CHAT GPT, CHAT, CHATGPT, GPT, CHATGPTT, Bard, Bings AI Chat Bot, AI Chat Bot, AI ChatBot, Chat Bot, ChatBot, Natural Language Processing, NLP, text pre-processing, neural network, deep learning, language modeling, sentiment analysis, text classification, word embedding, tokenization, syntax analysis, analysis, machine learning, artificial intelligence, data mining, information retrieval, text mining, information extraction, named entity recognition, topic modeling, mispelling Natural Langage Processing, NLP, deep learningg, languge modeling, sentiment anlysis, text classifcation, word embeding, tokennization, syntax anlysis, semntic analysis, machne learning, artficial intelligence, data minig, information retrival, text minig, information extractin, named entitiy recognition, topic modling.

This Data Analytics Introduction provides a clear understanding of data analytics's purpose, tools, and techniques.

data analytics, data analysis, data strategy, digital strategy, data tools, data techniques, data planning, data value, data understanding, data evolution, data organization, data employees, data attendees, dat analytics, data analitics, data strtategy, digital strtategy, data toos, data techniqus, data planing, data valu, data undrstanding, data evoluation, data orgnization, data employes, data atteendees.

Learn to use and communicate data effectively with our Data Literacy Training. No prerequisites. Join professionals from all fields.

Introduction, Data literacy, Training, Read, Use, Understand, Communicate, Information, Organizational level, Comprehend, Drive value, Workforce, knowledge, Conversations, Course, Interpret, Enterprise data, Trusted insights, Execution, Role, Organization, Mis-spellings Datta literacy, Trainning, Comprehence, Excecuttion, Orginization

This 1-day introduction to Big Data technologies, trends & insights provides the knowledge & skills to make effective Big Data business & technical decisions.

Big Data, big data technologies, big data trends, big data insights, data solutions, big data platforms, big data tools, big data adoption, technical decisions, business decisions, big data deployment, data analytics, data processing, data management, data warehousing, data visualization, data science, database management, data engineering, data architecture, data mining, data security, big dta, big dat, big date, big ata, big dat a, big dataa

Learn Python for data analytics: clean, manipulate, and mine data. Evaluate model performance with numpy, pandas, scipy, and scikit-learn.

Python training, data analytics, statistical computing libraries, numPy, Pandas, sciPy, Scikit-learn, analyzing data, business questions, eBooks, on-demand courses, instructor-led course, review sessions, Pythin training, dat analytics, statiscal computing libraries, numpy, Pandis, scipi, scikitlearn, anlyzing data, bisiness questions.

Learning Tree's Azure AI Fundamentals training provides fundamental concepts related to artificial intelligence in Microsoft Azure to create AI solutions.

AI900, CHAT GPT, CHAT , CHAT GPTT, Microsoft Azure AI Fundamentals, AI-900, artificial intelligence, AI solutions, data scientists, software developers, AI workloads, Azure services, hands-on exercises, Learn modules, reference materials, explore topics, typical AI workloads, Microsoft Azure, build awareness, create AI solutions, , , s.

Learning Tree's Microsoft Azure AI Solution training course is intended for software developers wanting to build AI infused applications and more.

AI102, CHAT GPT, CHAT , CHAT GPTT, Microsoft Azure, AI-102, Azure Cognitive Services, Azure Cognitive Search, Microsoft Bot Framework, C#, Python, JSON, REST, computer vision, language analysis, knowledge mining, intelligent search, conversational AI, training, software developers, programming language, APIs, deployment, managing, AI solutions, knowledge, navigation, Microsft Azuer, AI102, Azure Cogntive Services, Azure Cogntive Search, Micrsoft Bot Framework, C sharp, Pyton, JSon, REST programming, computer vison, launguage analsis, inteligent search, converational AI, trainning, software developpers, programming langauge, API, deploying, managin, AI solutons, knowlege, navigatoin.

In this AI Solutions with Azure course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.

ai-050, ai050, Azure OpenAI Service, Large Language Models, ChatGPT, Provisioning, Deploying Models, Generative AI Applications, Creativity and Innovation, AI Solutions with Azure, In-Person Delivery, Online Delivery, Building Azure OpenAI Service Solution, Building Apps, Prompt Engineering, Azure Portal, Programming Experience, C#, Python, Azure OpenAI Workloads, Generative AI Models, Azure OpenAI Language Capabilities, Azure OpenAI Code Capabilities, Azure OpenAI Image Capabilities, Responsible AI Practices, Limited Access Policies, Creating Azure OpenAI Service Resource, Types of Azure OpenAI Base Models, Azure OpenAI Studio, Azure OpenAI Console, Azure OpenAI REST API, Deploying a Base Model, Testing in Studio Playground, Generating Completions to Prompts, Managing Model Parameters, Building Natural Language Solutions, Differentiating between Endpoints, Using REST API, Using Language Specific SDKs, Designing and Optimizing Prompts, Including Clear Instructions, Requesting Output Composition, Using Contextual Content,Nyckelord,Undernyckelord Azure OpenAI-tjänst, Stora språkmodeller, ChatGPT, Provisionering, Implementering av modeller, Generativa AI-applikationer, Kreativitet och innovation, AI-lösningar med Azure, Leverans personligen, Onlineleverans, Bygga en Azure OpenAI-tjänstlösning, Bygga appar, Prompt Engineering, Azure Portal, Programmeringserfarenhet, C#, Python, Azure OpenAI arbetsbelastningar, Generativa AI-modeller, Azure OpenAIs språkkapacitet, Azure OpenAIs kodkapacitet, Azure OpenAIs bildkapacitet, Ansvarsfulla AI-praxis, Begränsade åtkomstpolicyer, Skapa en Azure OpenAI-tjänstresurs, Typer av Azure OpenAI basmodeller, Azure OpenAI Studio, Azure OpenAI-konsolen, Azure OpenAI REST API, Implementera en basmodell, Testning i Studio Playground, Generera kompletteringar till prompts, Hantera modellparametrar, Bygga naturliga språklösningar, Differentiera mellan slutpunkter, Använda REST API, Använda språkspecifika SDK:er, Designa och optimera prompts, Inkludera klara instruktioner, Begära utskriftssammansättning, Använda kontextuellt innehåll

This hands-on Introduction to Artificial Intelligence course will introduce you to the key concepts in modern AI and discuss how they apply to you and your business.

Introduction to AI,Key concepts in modern AI,Hands-on AI,Challenges of AI adoption,Artificial Intelligence Training,Confidence in AI,Artificial Intelligence for businesses,Machine learning,Uniform decision-making,Deep learning,Interpret images,AI limitations,AI risks,Module 1,What is Artificial Intelligence?,AI terms,AI technologies,AI constraints,AI limitations,Define intelligence,Module 2,Machines that learn,Machine learning,Benefits of AI,AI best practices,AI effectiveness,Module 3,Image recognition,Neural networks,Teaching neural networks,Classify complex images,Module 4,Chatbots,Generative AI,AI applications,Generative AI potential,Module 5,Protecting AI Systems,AI security,AI risks,Protecting your business,Protecting your privacy,Module 6,AI society and ethics,Biases in AI,Ethical use of AI,AI impact on society,Business context of AI,Module 7,The future of AI,AI threat on humanity,Future of work,AI in business future, Introduktion till AI,Nyckelkoncept inom modern AI,Hands-on AI,Utmaningar med AI-adoption,Artificiell Intelligensutbildning,Självförtroende i AI,Artificiell intelligens för företag,Maskininlärning,Uniformt beslutsfattande,Djupinlärning,Tolkning av bilder,AI begränsningar,AI risker,Modul 1,Vad är artificiell intelligens?,AI-termer,AI-teknologier,AI-begränsningar,AI-begränsningar,Definiera intelligens,Modul 2,Maskiner som lär sig,Maskininlärning,Fördelar med AI,AI bästa praxis,AI effektivitet,Modul 3,Bildigenkänning,Neurala nätverk,Undervisa neurala nätverk,Klassificera komplexa bilder,Modul 4,Chattbots,Generativ AI,AI-applikationer,Generativ AI potential,Modul 5,Att skydda AI-system,AI-säkerhet,AI risker,Skydda ditt företag,Skydda din integritet,Modul 6,AI, samhälle och etik,Bias inom AI,Etisk användning av AI,AI:s påverkan på samhället,Affärssammanhang av AI,Modul 7,AI:s framtid,AI-hot mot mänskligheten,Framtiden för arbete,AI i affärsframtid

This 1-hour ChatGPT for Business Users: On-Demand course will explore Conversational AI and develop your own Prompt Engineer to streamline prompt creation and ensure accurate responses.

OnDemand course, Conversational AI, ChatGPT, related terms, applications, business, personal life, day-to-day activities, office, optimize features, prompts, responses, improve results, Prompt Engineer, streamline prompt creation, accurate responses, familiarize, daily use, valuable tips, utilizing effectively, develop skills, detailed prompts, optimal results, Business Users, On-Demand Training Outline, Introduction, comprehensive understanding, practical ways, daily interactions, Getting Started, guide, better results, queries, Engineering, customization, personalized prompts, best responses, specific business use cases,OnDemand-kurs, Konversationell AI, ChatGPT, relaterade termer, applikationer, affär, personligt liv, vardagliga aktiviteter, kontor, optimera funktioner, uppmaningar, svar, förbättra resultat, Prompt Engineer, effektivisera skapandet av uppmaningar, korrekta svar, bekanta sig, daglig användning, värdefulla tips, utnyttja effektivt, utveckla färdigheter, detaljerade uppmaningar, optimala resultat, Affärsanvändare, On-Demand-utbildningsplan, Introduktion, omfattande förståelse, praktiska sätt, dagliga interaktioner, Komma igång, guide, bättre resultat, förfrågningar, Teknik, anpassning, personliga uppmaningar, bästa svar, specifika affärsfall.

In this Graph Databases for Data Analytics and AI Training course, you will learn how databases for graph data can support data analytics and artificial intelligence in ways not practical with traditional relational databases.

In this Graph Databases for Data Analytics and AI Training course, you will learn how databases for graph data can support data analytics and artificial intelligence in ways not practical with traditional relational databases. You will see practical and profitable use cases and understand the importance of graph data in today’s world. You will master the practical aspects of importing and exporting data for graph databases, and how graph databases are searched and queried. Graph databases are also ideal for the representation of human knowledge, not just simple facts. You will understand how knowledgebase graphs integrate with artificial intelligence systems and learn to use these systems to provide business analyses and insights. Why Graph Databases are Important Objectives: • Understand what graph data is and why it is important • Explore a few or the many practical applications of graph databases Contents: • What are graphs? • How graphs are used to provide structure to data • Business use-cases of graph databases Module 2: Foundations of Graphs and Graph Data Objectives: • Storing graph data in simple files • What is a relational database? • How graph databases differ from traditional relational databases Contents: • How graphs are used to provide structure to data o Graph software • Graph data in files o File format alternatives o Scripts for manipulating and characterising graph data • Diagramming graphs o Diagramming graphs with Python o Using GraphViz software Module 3: Graph Database Platforms Objectives: • Examine commercial graph database systems • Understand the differences among graph database systems Contents: • Options for graph database systems • Introduction to Neo4j • Introduction to GraphDB • Introduction to CogniPy Module 4: Querying and Analysing Graph Data Objectives: • Learn how to query data in a graph database • Understand the differences among graph database query languages Contents: • Using the Neo4j browser • The Cypher® graph query language o Structure of Cypher® queries o Viewing and interpreting query results • Other graph query languages • GraphQL • Gremlin • SPARQL Module 5: Using Graph Database APIs to Build Systems Objectives: • Understand how APIs are used to build a system • Explore some examples using Python Contents: • Using Python to manage and query a Neo4j graph database • How graphs are used to provide structure to data Module 6: Knowledge Graphs Objectives: • Learn how human knowledge can be represented in graph data using semantic nets • Create a simple knowledge graph • Understand ontologies Contents: • Semantic nets and the Resource Description Framework (RDF) o Formats for representing RDF triples • Ontologies o The structure of ontology documents o Tools for creating and editing ontologies o Protege and other Tools • Semantic Nets and Knowledge graphs o Loading knowledge graphs into a graph database o Applying logic-based “reasoners” to knowledge graphs Module 7: Graph Neural Networks Objectives: • Understand the Need for “Hybrid” AI • Applying convolutional neural networks to graph data Contents: • “Hybrid” AI o Creating graph neural networks • Applying convolutional neural networks to graph data o Review the basics of convolutional neural networks o Training the hybrid AI

In this Automating Prompt Engineering with Python Training, you will use the latest and most powerful python and LangChain tools to unlock sustainable business value and get the most value out of artificial intelligence.

5-day, Automating, Prompt Engineering, Python, cutting-edge, artificial intelligence, latest, powerful, LangChain, automate, agents, creative ambition, controlled responsibility, sustainable, business value, Training Delivery Methods, In-Person, Online, Training Information, Benefits, best practice, large language models, framework, techniques, prompt templates, chains, vector embeddings, automated AI tools, public data, autonomous, practical, real-time, competitor analysis, dynamic marketing, insightful, recruitment, industries, Training Prerequisites, write, run, basic Python scripts, principles, libraries, API calls, Working knowledge, writing prompts, chat models, various, AI outputs, AI-generated, conversations, hallucinations, Training Outline, Accordion, drop down header, Introduction, Why, required, advanced, overview, tools, LLM, search, retrievers, Querying, deep dive, In-depth, Hands-on exercises, injection, sequencing, Day 3, Agents, Automation, Configuring, Monitoring, debugging, readiness, production, Day 4, theory, templates, Creating, effective, Injecting, dynamic data, Storing, outputs, vector databases, scaling, Day 5, Commercial, Use Cases, Assessment, Real-world, Hands-on workshop, solving, sample, challenges, Developing, end-to-end, Presentations, review, Capstone assessment, new, future applications, 5-dagars, Automatisering, Prompt Engineering, Python, banbrytande, artificiell intelligens, senaste, kraftfull, LangChain, automatisera, agenter, kreativ ambition, kontrollerat ansvar, hållbar, affärsvärde, Utbildningsleveransmetoder, Personligen, Online, Utbildningsinformation, Fördelar, bästa praxis, stora språkmodeller, ramverk, tekniker, prompt-mallar, kedjor, vektorembeddingar, automatiserade AI-verktyg, offentliga data, autonom, praktisk, realtid, konkurrentanalys, dynamisk marknadsföring, insiktsfull, rekrytering, industrier, Förkunskapskrav, skriva, köra, grundläggande Python-skript, principer, bibliotek, API-anrop, Arbetskunskap, skriva prompts, chattmodeller, olika, AI-utdata, AI-genererade, konversationer, hallucinationer, Utbildningsöversikt, Dragspel, fäll ner rubrik, Introduktion, Varför, nödvändig, avancerad, översikt, verktyg, LLM, sökning, retrievers, Frågeformulering, djupdykning, I detalj, Hands-on övningar, injektion, sekvensering, Dag 3, Agenter, Automation, Konfigurering, Övervakning, felsökning, beredskap, produktion, Dag 4, teori, mallar, Skapande, effektiv, Injicering, dynamiska data, Lagring, utdata, vektordatabaser, skalning, Dag 5, Kommersiell, Användningsfall, Bedömning, Verkliga världen, Hands-on workshop, lösa, exempel, utmaningar, Utveckling, ände-till-ände, Presentationer, granskning, Slutexamination, ny, framtida applikationer, Automating: Autamating, Automting, Automatng Prompt Engineering: Promt Engineering, Prompt Engeneering, Promt Enginering, Python: Pyhton, Pithon, Pythn, Cutting-edge: Cuttin-edge, Cuting-edge, Cuttng-edge, Artificial Intelligence: Artifical Intelligence, Artifitial Intelligence, Artificial Inteligence, LangChain: LangChian, LangChan, LangChainn, Automate: Autmate, Automat, Automte, Agents: Agants, Agnets, Agentz, Creative Ambition: Cretive Ambition, Creative Ambtion, Creatve Ambition, Controlled Responsibility: Controled Responsibility, Controled Responsiblity, Controlled Responsibilty, Sustainable: Sustainble, Sustanable, Sustaineble, Business Value: Buisness Value, Business Valu, Busines Value, Training Delivery Methods: Trainig Delivery Methods, Training Delvery Methods, Training Delevery Methods, In-Person: In-Persn, In-Peson, InPersn, Online: Onlin, On-line, Onlene, Training Information: Trainig Information, Training Informtion, Trainin Information, Benefits: Benifits, Benfits, Beneffits, Best Practice: Best Practise, Best Practie, Bes Practice, Large Language Models: Lrge Language Models, Large Languag Models, Large Langage Models, Framework: Framwork, Frameowrk, Frameork, Techniques: Techniqes, Tehniques, Tecniques, Prompt Templates: Promt Templates, Prompt Tempates, Prompt Templtes, Chains: Chanis, Chians, Chainz, Vector Embeddings: Vctor Embeddings, Vector Embddings, Vectr Embeddings, Automated AI Tools: Automted AI Tools, Automated AI Tols, Automated A Tools Public Data: Pubic Data, Public Dta, Pulbic Data, Autonomous: Autonmous, Autonomus, Atonomous, Practical: Practial, Practcal, Pratical, Real-time: Realtime, Reel-time, Rael-time, Competitor Analysis: Compettior Analysis, Competior Analysis, Competitor Analisis, Dynamic Marketing: Dinamic Marketing, Dyamic Marketing, Dyanmic Marketing, Basic Python Scripts: Basic Pyton Scripts, Basci Python Sctipts, Basic Pythn Scripts, Principles: Pinciples, Princples, Principlez, Libraries: Librairies, Librarys, Libaries, API Calls: AP Calls, AAPI Calls, API Calles, Working Knowledge: Workin Knowledge, Working Knowlege, Woriking Knowledge, Writing Prompts: Writting Prompts, Writin Prompts, Writing Prmopts, Chat Models: Chet Models, Chat Modles, Chat Mmodels, Various: Varous, Verious, Varios, AI Outputs: A Outputs, AI Ouputs, AI Outpts AI-generated: AIgenereted, AI-genrated, AI-genereted, Conversations: Coversations, Conversatons, Conversations Hallucinations: Halucinations, Halluciantions, Hallucintions, Training Outline: Trainig Outline, Training Outlin, Trainning Outline, Accordion: Acordion, Acordeon, Accordian, Drop Down Header: Drop Dwn Header, Drop Down Hedder, Dropp Down Header, Introduction: Introducton, Introdction, Introdcution, Why: Whi, Wai, Whyy, Required: Requried, Requred, Reqiured, Advanced: Adavanced, Advaced, Advansed, Overview: Overveiw, Oerview, Overviw, Tools: Toos, Tollz, Tols, LLM: LML, LMM, LLMs, Search: Searhc, Serach, Saerch, Retrievers: Retreivers, Retrievrs, Retriverz, Querying: Queering, Querrying, Queryng, Deep Dive: Depp Dive, Deep Dve, Deeep Dive, In-depth: In-deph, Indepth, In-Depth, Hands-on Exercises: Hands on Exersises, Hands-on Exercizes, Hands-om Exercises, Injection: Injction, Injecton, Injetion, Sequencing: 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In this Advanced Prompt Engineering for Business training, you will craft prompts and employ the many extra AI components now available on desktops/laptops such as plugins, APIs, visualizations.

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The APMG Foundation Certificate in Artificial Intelligence tests a candidate’s knowledge and understanding of the terminology and general principles of AI and challenges of Ethical and Sustainable Robust Artificial Intelligence.

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In this comprehensive On-Demand Introduction to AI Course, you’ll navigate AI's evolution, delve into its intricacies, harness its creative potential, and champion ethics in AI.

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In this on-demand Fundamentals of Graph Databases course, you’ll dive into the essentials of graph theory, explore real-world use cases, and discover how Graph Databases revolutionize data analysis, strategic decision-making, and AI integration.

Unlock the potential of data relationships with our comprehensive On-Demand Graph Databases course. Designed for professionals of all backgrounds, this foundational course provides a clear and concise introduction to the world of Graph Databases and their transformative applications. Dive into the essentials of graph theory, explore real-world use cases, and discover how Graph Databases revolutionize data analysis, strategic decision-making, and AI integration. With hands-on exercises using platforms like Neo4j, you'll gain practical experience in creating and querying Graph Databases. Whether you're a data analyst, business manager, database administrator, or technical training professional, this course equips you with the knowledge to harness the power of Graph Databases and elevate your expertise in modern data management and AI strategies. Module 1. Why Graph Databases Matter Explore the significance of Graph Databases in modern data management. Understand their unique advantages and how they revolutionize information retrieval and analysis. Module 2. Introduction to Graph Databases Gain a solid grasp of Graph Databases: their purpose, structure, and applications across various industries. Dive into the essentials of graph theory. Module 3. Utilizing Graph Databases Learn how organizations leverage Graph Databases to solve complex problems. Discover real-world use cases and harness the power of data relationships. Module 4. AI and Semantic Data Uncover the synergy between Artificial Intelligence and Semantic Web technologies. Explore RDF, semantic data formats, and their role in enhancing AI capabilities. Module 5. Graph Databases in AI Strategies Delve into the role of Graph Databases in AI-driven strategies. Understand knowledge representation, ontologies, and how to integrate Graph Databases in AI projects. Module 6. Building Knowledge Graphs Master the implementation of Knowledge Graphs. Explore Graph Neural Networks and how they enhance data-driven insights.

Implement a BI solution for valuable business insights. Integrate and transform data into valuable business insights in this hands-on BI training course.

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Watch and perform exercises to connect to 7 million records from various sources, refine the data in Power Query and import the tables into Power BI.

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In this Introduction to Power BI course, you will gain the basic skills and knowledge to manage and analyze data in Power BI.

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Learn best practices for Power BI with PL-300 Microsoft training. Align business and tech requirements.

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Learn to manage Power BI platform in your org. Configure access, monitor usage, and manage licenses. Join our Power BI Admin training today!

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Learn to use Microsoft Power BI dashboard in one day. Build your own data reports and dashboards with instructor support.

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In this Power BI Paginated Reports Training course, you will learn how to create, publish, and distribute paginated reports in Microsoft Power BI.

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Learn advanced Power BI visualization techniques, including report layouts, design patterns, and best practices for creating great reports and dashboards.

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Learn DAX from beginner to intermediate level. Covers syntax, structured writing, Data Analysis, and DAX Studio. Start your journey now.

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Learning Tree's SQL Server training course covers SQL Server basics: database management, table creation, and query writing for beginners.

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Learn to design BI Data Models for Power BI or Excel dashboards in our Designing Data Models in Excel for Power BI Reports Training.

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The SQL Server Integration Services (SSIS) training teaches data integration and transformation with package creation, execution & deployment for beginners.

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In this hands-on Oracle SQL queries course, learn the full potential of SQL to create complex queries for Oracle databases. Attend in-class or online.

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This hands-on relational database design course provides a comprehensive foundation for designing, building & working with relational databases.

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In this hands-on Oracle PL/SQL training course, you will learn how to execute PL/SQL programs, build stored procedures, execute modular applications & more.

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Learning Tree's DP-300 Certification training provides the knowledge to administer a SQL Server database infrastructure for cloud & hybrid relational databases.

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In this 2-day Microsoft SQL Training, you'll learn the basics of Microsoft's dialect of the standard SQL language: Transact-SQL.

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This course enables experienced SAP BW users, modelers as well as administrators to run and work with SAP BW/4HANA.

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This course enables experienced SAP BW users, modelers as well as administrators to run and work with SAP BW on SAP HANA.

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This course provides delta knowledge relevant for learners who are familiar with the SAP Business Suite/SAP ERP and want to up-skill to SAP S/4HANA.

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Learn simple ABAP code in this Introduction to Programming with ABAP (BC100) training course.

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Attend this Oracle Database 12c course & learn to build robust & scalable Oracle Database 12c applications & to use SQL Developer & PL/SQL & more.

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In this course, learn to deploy backup & recovery strategies to protect Oracle 12c data using RMAN & OEM & more. Plus learn to manage server performance.

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Learn to mine business intel from your data with SSRS. Design reports with filters, interactive components, & safeguard with Windows authentication.

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CompTIA Data+® is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.

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This CompTIA DataSys+ Certification Training provides comprehensive training covering all exam objectives to help you prepare for the DataSys+ certification exam.

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In this hands-on Crystal Reports course, learn to create sophisticated reports & transform raw data into meaningful information. Attend in-class or online.

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This Tableau Visual Analytics course will teach you to create interactive visualizations to deliver business insights using real-time data models.

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Take your Tableau skills to the next level with our Advanced Tableau course. Harness the full potential of data visualization and analysis.

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Learn data visualization with Python using NumPy, Pandas, Matplotlib, and Seaborn in this training course for better data analytics.

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Learn Data Governance & assess Data Maturity with IEC/ISO 38505 standards. Get trained now!

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Gain hands-on expertise in Apache Kafka with our comprehensive training. Learn to build scalable, real-time data streaming applications.

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Learn Python Data Wrangling: Extract/transform data from databases & Excel tables. Discover the benefits of NumPy & Pandas for efficient data cleaning.

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Attend this 3-day, hands-on IBM Cognos Analytics: Author Reports Fundamentals course & learn report building techniques using relational data models.

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Learning Tree's Azure Data Science certification course teaches you how to operate machine learning solutions at cloud scale using Azure Machine Learning.

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In the Microsoft Azure Data Fundamentals Training DP-900 course, you'll learn the fundamentals of database concepts and build foundational knowledge.

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In the (DP-203) Azure Data Engineering training course, students will learn about data engineering as it pertains to working with batch and real-time analytical solutions.

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Learn to use workload requirements to design databases and explore AWS database services. Choose the right service and design your database.

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This hands-on Data Warehousing on AWS course covers concepts, strategies, & best practices for designing a cloud-based data warehousing solution.

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This 1-day digital transformation course will equip you with the understanding & confidence to guide & implement a successful digital transformation program.

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Learn to build batch data analytics solutions on AWS using Amazon EMR, an enterprise-grade Apache Spark and Hadoop managed service.

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Learn to build an AWS data lake for structured and unstructured data analysis in this course.

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Learn to build data analytics solutions with Amazon Redshift. Focus on data collection, ingestion, cataloging, storage, and processing.

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This Microsoft Fabric (DP-601) course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept.

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This hands-on Introduction to Decision Analysis gives you the tools required to make better, more informed and justifiable decisions.

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Learn data analysis tools & R environment to draw conclusions. Get hands-on Fundamentals of Statistics training for Data Science.

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Learn advanced data modeling & shaping in Power BI with DAX formulas & Power Query M language in this course.

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Learn advanced data analytics at scale with this Designing & Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure & Power-BI (DP-500) course.

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Maximize your proficiency using Power BI Service with Power BI for Business Users! Learn to navigate the Power BI Service, & to interact with reports, dashboards, & AI visuals effectively.

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In this Advanced SQL course, you learn how to write robust sql queries, test your queries & avoid common errors & pitfalls. Attend in-class or online.

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Learn to leverage SQL Server Management Studio to write SQL queries in this 1-day hands-on course. Attend in-class or online from anywhere.

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Attend this 1-day, hands-on Writing SQL Queries course for an introduction to the SQL language used by all relational database products.

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Learn to write complex, powerful SQL queries, apply joins & subqueries, & select the most efficient solution to complex SQL problems in this 1-day course.

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In this Introduction to SQL course, you will learn how to optimize the accessibility and maintenance of data with the SQL programming language.

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Learn essential SQL Server skills: installation, storage structures, backup/recovery, and security management. Perfect for enterprise data management.

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Learn to create stored procedures, triggers, and T-SQL that maximizes SQL Server's potential with our Transact-SQL training.

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