Decision Science Courses

In this Introduction to Machine Learning course, you'll create and train models using no-code solutions, drag-and-drop tools, prepare and analyse 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, structured data, unstructured data, data management, data processing, data analysis, meaningful insights, live training, instructor-led training, on-demand training, blended training, big data traning, data mangement, data analisis. Introduction to Big Data, Big Data training, data science training, structured data, unstructured data, data management, data processing, data analysis, meaningful insights, live training, instructor-led training, on-demand training, blended training, big data training, data management, data analysis.

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.

data science, python, jupyter, anaconda, machine learning, datasets, reproducible, pipelines, visualizations, prediction models, programming fundamentals, pandas, matplotlib, scikit-learn, pyton, jupitor, anacondo, machin learning, datsets, reporducible, pipelins, vizualizations, predicion models, pandas, matlplotlib, scikit learn. data science, python, jupyter, anaconda, machine learning, datasets, reproducible, pipelines, visualisations, prediction models, programming fundamentals, pandas, matplotlib, scikit-learn, python, jupiter, anaconda, machine learning, datasets, reproducible, pipelines, visualisations, prediction models, pandas, matplotlib, scikit-learn.

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

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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 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.

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.

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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 organisation, data employees, data purpose, data attendees, dat analytics, data analisys, digital strategi, data planing, data evolusion, data orginisation, data emploees. data analytics, data analysis, data strategy, digital strategy, data tools, data techniques, data planning, data value, data understanding, data evolution, data organisation, data employees, data purpose, data attendees, data analytics, data analysis, digital strategy, data planning, data evolution, data organisation, data employees.

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

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This 1-day introduction to Data Management Tools, provides the knowledge & skills to make effective Machine Learning and AI 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 visualisation, data science, database management, modern data management, data engineering, data architecture, data mining, data security, big dta, big dat, big date, big ata, big dat a, big dataa, Big Data, Data Analytics, Data Science, Data Management, Data Warehousing, Data Mining, Data Insights, Data Trends, Big Data Platforms, Big Data Tools, Big Data Technologies, Big Data Solutions, Big Data Adoption, Big Data Deployment, Business Intelligence, Data-driven Decision Making, Data-driven Insights, Data-driven Strategies, Mis-spellings Big Dta, Big Dataa, Data Anlytics, Data Sceince, Data Managment, Data Warehosing, Data Mning. Stora data, dataanalys, datavetenskap, datahantering, datalagring, datamining, datainsikter, datatrender, stora dataplattformar, stora dataverktyg, stora datateknologier, stora datasolutions, stora dataanvändning, stora datadeployment, affärsintelligens, datadriven beslutsfattande, datadrivna insikter, datadrivna strategier, stavfel Stor Dta, Stor Dataa, Data Anlytics, Data Sceince, Data Managment, Data Warehosing, Data Mning.

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

Python, data analytics, programming, statistical computing, numPy, Pandas, sciPy, Scikit-learn, business questions, eBooks, on-demand courses, instructor-led course, review sessions, pyton, dat analytics, programing, statstical computing, numpy, pandas, scypy, scikit learn, busines questions Python, data analytics, programming, statistical computing, NumPy, Pandas, SciPy, Scikit-learn, business questions, eBooks, on-demand courses, instructor-led course, review sessions, Python, data analytics, programming, statistical computing, NumPy, Pandas, SciPy, Scikit-learn, business questions.

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.

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, artificial intelligence, Azure services, AI solutions, data scientists, software developers, hands-on exercises, Learn modules, reference materials, typical AI workloads, support, explore topics, reinforce, awareness. Microsft Azure Aritifical intelligence Azur services AI solutons data scientsits software developpers Learn moduels refernce materials typicall AI workloads suport exploer topics reiforce awarness. Microsoft Azure, AI, artificial intelligence, Azure services, AI solutions, data scientists, software developers, hands-on exercises, Learn modules, reference materials, typical AI workloads, support, explore topics, reinforce, awareness. Microsoft Azure Artificial intelligence Azure services AI solutions Data scientists Software developers Learn modules Reference materials Typical AI workloads Support Explore topics Reinforce Awareness.

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.

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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.

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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.

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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.

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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: Seqencing, Sequenceing, Sequecning, Agents: Agnts, Agens, Aggents, Automation: Autmation, Automtion, Automattion, Configuring: Configurin, Confguring, Configurring, Monitoring: Monitering, Monitring, Monitorng, Debugging: Debuggin, Deugging, Debgging, Readiness: Rediness, Readines, Readyness Production: Prodution, Produktion, Producton, Theory: Theroy, Thoery, Theorie, Templates: Tempates, Templats, Templaets, Creating: Creatin, Creatng, Cretating, Effective: Efective, Effctive, Affective, Injecting: Injectin, Inecting, Injecing, Dynamic Data: Dyanmic Data, Dinamic Data, Dynamic Dta, Storing: Storeing, Storin, Stroring, Outputs: Ouputs, Outputz, Outpts, Vector Databases: Vctor Databases, Vector Datbases, Vector Databses, Scaling: Scalling, Scaing, Scaeling, Commercial: Comercial, Commecial, Commerial, Use Cases: Usee Cases, Us Cases, Use Caes, Assessment: Assement, Assesment, Asssesment, Real-world: Realword, Reel-world, Reall-world, Hands-on Workshop: Hands on Workshp, Hands-on Workshopp, Handson Workshop, Solving: Solvin, Solvng, Sollving, Sample: Sampl, Sampel, Sammple, Challenges: Challanges, Chalenges, Challengs, Developing: Develping, Developin, Develloping, End-to-end: End to end, End-toEnd, End-2-end, Presentations: Presntations, Presenttions, Presentationz,

The APMG Foundation Certificate in AI assesses understanding of AI terminology, principles, and ethical challenges.

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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 revolutionise 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 revolutionise 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 revolutionise 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. Utilising Graph Databases Learn how organisations 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.

Gain expertise with the AIOps Foundation (AIOF) Certification Course, mastering AI, machine learning in IT ops, and transforming digital landscapes.

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Master AI training for project management with our course. Unlock AI's potential in workflows, strategy, and innovation for project success.

AI in project management, Generative AI, ChatGPT, Google Bard, Bing Chat, Open AI’s ChatGPT, Google’s Gemini, and Microsoft’s Copilot, AI strategies, project management workflows, prompt engineering, AI-generated content, AI ethical considerations, AI future trends, AI applications in projects, AI prompting techniques, AI output optimisation, AI challenges, AI job risks, AI creativity in projects, AI empathy in communication, AI course for beginners, AI real-world examples, AI project management use cases, AI i projektledning, Generativ AI, ChatGPT, Google Bard, Bing Chat, AI-strategier, arbetsflöden för projektledning, framställning av prompts, AI-genererat innehåll, etiska överväganden inom AI, AI:s framtida trender, AI-applikationer i projekt, tekniker för AI-promptning, optimering av AI-output, utmaningar med AI, jobbrisker med AI, AIs kreativitet i projekt, AIs empati i kommunikation, AI-kurs för nybörjare, AI i verkliga exempel, användningsfall för AI i projektledning.

Learn how to apply Generative AI models in PM scenarios with AI for Project Managers On-Demand. Explore Open AI’s ChatGPT, Google’s Gemini, and Microsoft’s Copilot.

Master the intricacies of Microsoft Dynamics 365 Business Central development with our intensive MB 820 training course.

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Unleash the power of machine learning with Azure Databricks training course. The course equips you with the skills to build, deploy, and manage machine learning models using this powerful cloud platform.

Azure Databricks, Machine Learning, Delivery Methods, Training Information, Training Prerequisites, Training Outline, Explore Azure Databricks, Use Apache Spark, Train a Machine Learning Model, Use MLflow, Tune Hyperparameters, Use AutoML, Train Deep Learning Models, In-Person Training, Online Training, Private Team Training, Apache Spark, MLflow, Hyperopt, AutoML, Deep Learning, Python, Scikit-Learn, PyTorch, TensorFlow, Spark Clusters, Data Visualisation, Model Evaluation, Hyperparameter Optimisation, Model Training, Azure Databricks, Maskininlärning, Leveransmetoder, Utbildningsinformation, Förkunskapskrav, Utbildningsöversikt, Utforska Azure Databricks, Använda Apache Spark, Träna en maskininlärningsmodell, Använda MLflow, Stämma Hyperparametrar, Använda AutoML, Träna djupinlärningsmodeller, Utbildning på plats, Onlineutbildning, Privat teamutbildning, Apache Spark, MLflow, Hyperopt, AutoML, Djupinlärning, Python, Scikit-Learn, PyTorch, TensorFlow, Spark-kluster, Data visualisering, Modellutvärdering, Optimering av hyperparametrar, Modellträning

Master the art of training and deploying machine learning models in the cloud with our Azure Machine Learning (DP-3007) training course.

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Streamline your database migration with our Migrate SQL Server workload to Azure SQL (DP-3001) training course

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Harness the power of AI with Azure AI services AI-3004 training. This comprehensive course equips you to design, develop, and deploy intelligent applications using Microsoft's cutting-edge AI services.

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Our Azure AI Services (AI-3003) training course equips you to build, deploy, and manage intelligent solutions using Microsoft's powerful cloud platform.

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Master Azure AI Document Intelligence (AI-3002) and unlock the ability to extract data from structured and unstructured documents like forms, receipts, and invoices.

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Training course to learn to optimise productivity with Copilot for Microsoft 365. Empower your workforce with Copilot for Microsoft 365.

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Learn to craft effective and contextual prompts for Microsoft Copilot across Microsoft 365 applications. Ideal for all users looking to improve productivity and content creation.

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Unlock the power of real-time data analytics with Microsoft Fabric in this beginner-friendly, hands-on course. Learn to source streaming data, utilise Eventstream, and create dynamic dashboards in Microsoft Fabric.

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Master the data science process and machine learning model training for AI applications in Microsoft Fabric in this hands-on, beginner-level course.

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

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

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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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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 PL/SQL training course, you will learn how to execute PL/SQL programmes, 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 hands-on relational database design course provides a comprehensive foundation for designing, building & working with relational databases.

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

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

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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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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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The Data Insights & Visualization Professional Certificate Program equips individuals with an integrated learning model that combines training, assessment, coaching, and collaboration.

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

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In this 3-day AWS training, you will learn about the process of planning and designing both relational and nonrelational AWS databases.

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In this MongoDB course, you'll learn to develop highly scalable & cost efficient applications & build MongoDB data models for enterprise-scale applications.

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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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Boost your skills in Azure Files and Azure Blob Storage Security with our (AZ-1003) course. Learn to configure, manage, and secure Azure storage.

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Learn Azure DevOps Pipeline Security in course AZ-2001: Enhance IT skills with hands-on experience in secure pipeline configuration and management.

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Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data analytics workloads in a data lakehouse.

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Boost your career in data analytics and become an Azure Synapse expert. This training course equips you to design and implement data analytics solutions.

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Microsoft Fabric Analytics Engineer DP 600 Training Course. Gain the skills to transform data, manage pipelines, and prepare for the DP-600 exam.

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Learn to implement, load, monitor, and query a data warehouse in Microsoft Fabric with our DP-602 course. Perfect for beginners looking to enhance their data engineering skills.

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

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

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

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

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Maximise 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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Master data analysis and visualisation with Microsoft Power BI training course. Our DP-605 training course prepares you for the exam and equips you with the skills to create compelling reports and dashboards.

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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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In this Introduction to SQL course, you will learn how to optimise 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 mine business intel from your data with SSRS. Design reports with filters, interactive components, & safeguard with Windows authentication.

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

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