Onderwerp
Automatisering & ICT/IT
Communicatie
Financieel
HR
Inkoop & logistiek
Management
Secretarieel & Administratief
Marketing
Opleiding & Onderwijs
Persoonlijke Effectiviteit
Productie, techniek & bouw
Kwaliteit- & Projectmanagement
Sales
Vitaliteit & Gezondheid
Taalcursus
Zorg & Verzorging
Juridisch
Internet & Media
Arbo & Veiligheid
Hobby & Vrije Tijd
Vastgoed & Makelaardij
Abonnementen
Locatie
Niveau
Type
Keurmerk

Opleidingen

43.489 resultaten

WINCHESTERS Lean Kaizen Event

WAT IS HET EN VOOR WIE? Kaizen is het Japanse woord voor continu verbeteren. In Kaizen events pakken we in een klein team van betrokkenen, complexere organisatie knelpunten aan die niet in de dagelijkse verbeterroutines opgelost kunnen worden. De duur van het event varieert van 1 tot meer dagen, afhankelijk van de grootte en complexiteit van het probleem. Het leuke van een Kaizen event is dat het knelpunt nog dezelfde dag of week opgelost wordt. Dat geeft energie en werkplezier! HET PROGRAMMA KAIZEN EVENT Een Kaizen event werkt volgens de A3 methodiek in vijf fasen: Definiëren van het probleem, probleemeigenaar, scope en stakeholders Verbeterteam vormen Huidige situatie in kaart brengen en doel situatie bepalen Workshop(s) om grondoorzaken van het probleem te identificeren en oplossingen bedenken. Implementeren van oplossingen en structurele borging. WAT KAN JE NA EEN KAIZEN EVENT? Jij kunt samen met collega’s organisatie knelpunten van alle groottes op een gestructureerde manier aanpakken en oplossen.
In-company / Maatwerk

WINCHESTERS High Performance Teambuilding

WAT IS HET EN VOOR WIE? Het behalen van teamdoelstellingen vraagt om een goed geoliede machine in samenwerking. Vaak ontstaat in verloop van tijd vervuiling in communicatie door onuitgesproken onbegrip en irritatie. In WINCHESTERS high performance teambuilding workshops maken we het onzichtbare zichtbaar en het onuitgesproken bespreekbaar. Teamspirit, vertrouwen en positiviteit in samenwerking is het resultaat. HET PROGRAMMA HIGH PERFORMANCE TEAMBUILDING (1 OF MEER DAGEN) In steeds afwisselende werk/spelvormen behandelen we onderstaande onderwerpen individueel, in duo’s/groepjes en plenair. Bij elke onderwerp staan we stil bij hoe dat nu is in het team en wat de gewenste situatie is. Het programma HPT is altijd maatwerk. Hieronder een voorbeeld van een dag. Warming up en kennismaking, wat weten mensen niet over jou? Wat zijn jouw diepste drijfveren, jouw kwaliteiten en valkuilen. Wat brengt jou in beweging? Door welke bril kijk jij naar je collega’s en de organisatie? Bovenstroom en onderstroom Conflictoplossing Hiërarchie van jouw belangrijkste waarden Werkenergie: starter, uitvoerder, afronder. Welke stijl past bij jou? De kracht van kwetsbaarheid Feedback en complimenten Samenwerkingsafspraken: wat gaan wij nu meer, minder en anders doen? WAT KAN JE NA EEN HIGH PERFORMANCE TEAMBUILDING WORKSHOP? Je hebt meer inzicht in interactie en begrip voor elkaar. Je kunt conflicten en irritaties gemakkelijker bespreekbaar maken en oplossen met elkaar. De sterktes en passies van elke individu worden benut waardoor flow ontstaat in het team.
In-company / Maatwerk

WINCHESTERS Drijfveren in Beweging

WAT IS HET EN VOOR WIE? Deze training is voor teams die prettiger en effectiever willen samen werken. Waar krijg jij energie van en waar loop je op leeg? Door welke bril kijk jij naar de wereld en hoe is dat van invloed op jouw overtuigingen en gedrag? Wat zijn onze kwaliteiten als team en hoe kunnen we elkaar onderling aanvullen of versterken?​ In een combinatie van fun, theorie en praktijk ervaar je dit aan den lijve. Je krijgt inzicht in je persoonlijke drijfverenprofiel en het teamprofiel. Je leert vooroordelen en misverstanden gemakkelijker uit de wereld te helpen, elkaar te versterken en meer slagkracht te genereren. HET PROGRAMMA DRIJFVEREN IN BEWEGING            (1 DAG OF 2 DAGEN): Theorie drijfveren (RealDrives) Jouw kwaliteiten/persoonlijk profiel Positief en negatief gedrag Verwachtingen vanuit het filter van je drijveren Feedback geven per kleur Omgangsvormen: dos en don’ts Teamprofiel: Wat zijn onze kwaliteiten en hoe kunnen we elkaar versterken? Strategie per kleur Managementstijl per kleur: Hoe motiveer je? Kleurentaal: commitment, professionaliteit, integriteit, openheid WAT KAN JE NA DEZE TRAINING? Je hebt inzicht in jouw persoonlijke drijfveren, overtuigingen en gedrag en die van je collega’s. Je begrijpt waarom het team functioneert zoals het functioneert en kunt dit positief beïnvloeden. Je werkt gemakkelijker en prettiger samen. Je weet wat wel en niet bij je past op het werk. In teamverband komen ieders kwaliteiten tot hun recht en ondersteunen de teamleden elkaar om continu te verbeteren.
In-company / Maatwerk

WINCHESTERS Inclusie Werkt!

WAT IS HET EN VOOR WIE? In deze training beginnen we bij de basis. Want wat houden diversiteit en inclusie precies in? Hoe zijn ze van invloed op de werkvloer? Hoe kan jij als medewerker concreet een bijdrage leveren aan een meer inclusieve organisatie? Tijdens de training gaan we op een laagdrempelige en positieve manier aan de slag met deze thema’s. In twee dagen maak je kennis met diversiteit en inclusie. We onderzoeken hoe ieders achtergrond van invloed is op de kansen en mogelijkheden die die heeft. We bekijken de rol van onbewuste vooroordelen en taal. We ontdekken hoe een inclusieve organisatie er uit ziet en hoe jij daar zelf een bijdrage aan levert. Deze training is leerzaam en zinvol voor medewerkers uit alle lagen van de organisatie. HET PROGRAMMA INCLUSIE WERKT!  Diversiteit en inclusie. Wat is dat? De invloed van achtergrond Onbewuste vooroordelen Taal Toegankelijkheid Welke rol pak jij? Inclusie toolbox WAT KAN JE NA DEZE TRAINING? Je krijgt alle tools aangereikt waarmee je de organisatie in kleine stapjes inclusiever maakt. Je weet op welke manier jij een bijdrage kan en wil leveren aan een inclusieve organisatie. Je weet welke concrete stappen je kan zetten. Je ziet dat inclusie een werkwoord is en begrijpt dat er geen statisch eindpunt is waar je naartoe werkt. In een inclusieve organisatie blijf je continu verbeteren.
In-company / Maatwerk
max 12

Van Data naar Inzicht met Microsoft Power BI

Leer alles over Microsoft Power BI op een unieke locatie. Ga naar huis met een eigen gemaakt dashboard. Over dit evenement Wij van de Data Brewery zijn van mening dat een inspirerende locatie belangrijk is tijdens een training. Stap even uit je dagelijkse werkomgeving en volg een training in een industriële loods, jeu de boules-baan of brouwerij. Leer in deze training hoe je data kan omzetten in inzichten. Wij zorgen ervoor dat er data beschikbaar is die past bij jouw bedrijf of afdeling. Wil je zelf data meenemen? Graag! Laat het ons weten en wij zorgen dat de training hierop wordt afgestemd. Om van data tot inzicht te komen leren we je om de tool Microsoft Power BI te gebruiken, kennis die je ook direct even mee pakt. Aan het eind van de training ga je niet alleen naar huis met deze kennis, maar ook met een dashboard waar je direct mee aan de slag kan. We gaan je helpen om jouw vragen en doelstellingen te vertalen naar de juiste KPI's en deze te visualiseren! Waarom bij Data Brewery? Naast dat je alles gaat leren over het vertalen van data naar inzicht, vinden wij het belangrijk dat je ook een leuke en inspirerende dag hebt. Dus geen suf kantoorpand, maar een toplocatie, een goede lunch, en een afsluitende bierproeverij om samen de dag goed af te sluiten. Wat gaan we behandeling in de training? > Maak je eigen dashboard op basis van relevante of eigen data en use cases > Leer Power BI in één dag > Intieme setting, kleine groep en maximaal 1 trainer per 4 personen > Vergroot de impact: Bring your own data > Leer je doelstellingen te vertalen naar KPI's > Ga aan de slag met het inladen van data > Combineer en transformeer data > Vertaal je KPI's naar visualisaties > Inspireer elkaar door het delen van de eindresultaten Let op! Microsoft Power BI werkt alleen op Windows laptops.
€385
Klassikaal
max 12

SQL advanced course (EN/NL/FR)

SQL is a living, modern language. It entails a lot more possibilities than it did traditionally. Are you practising SQL already for quite some years? Learn in this one-day course at ABIS how you can do more with SQL! Applications are becoming more demanding than before in their use of database systems like Oracle, Db2, SQL Server, PostgreSQL ... and the SQL used by data warehouse BI-tools (e.g. Business Objects) and ERP solutions (e.g. SAP, Siebel) is also becoming more advanced. By using modern SQL syntax, also relatively complex questions for the RDBMS remain readable and maintainable. Questions that we try to answer during this advanced SQL training are: How will we cope with these modern - often dynamic - SQL statements? How to write SQL queries which are as readable and as maintainable as possible? Can we take advantage of relatively new standard SQL features, which could provide interesting possibilities? Can we use unknown SQL-syntactic features that can simplify existing SQL code, or make it more readable and more efficient? Do you accept the challenge? By using very concrete SQL examples and exercises, we show that the possibilities of the extended SQL tool set may have an important positive impact. Intended for This training is intended for users and developers for database systems like e.g. Oracle, Db2, SQL Server, MySQL, MariaDB, PostgreSQL, Hive, ... Backgroud A good knowledge of SQL is required (see e.g. our SQL workshop). You can test for yourself to see if you have enough background by filling out the on-line self-test "SQL Intermediate". Main topics Overview of the reference material for the SQL standard and of the different RDBMS platforms Nested Selects, Common Table Expressions ("WITH" clause), and correlated references in a nested select Clever ways to combine inner and outer joins "Time travel" queries Where clause: predicates, regular expressions, and some unexpected side effects of NULL values A first encounter with OLAP functions (for a.o. ranking and windowing) Possible applications of the Order By and Fetch First clauses; pagination Select from Insert, Update, Delete Update and Delete with correlated subqueries The Merge statement Recursive SQL Training method Using several examples and giving lots of exercises, you will be guided step by step through this material. After the training, you get access to our on-line database environment, so you can practise at home/work. Delivered as a live, interactive training – available in-person or online, or in a hybrid format. Training can be implemented in English, Dutch, or French. Certificate At the end of the session, the participant receives a "Certificate of Completion". Duration 1 day.
€655
Klassikaal
max 12

Oracle fundamentals course (ENh/NL/FR)

In this 3-day ABIS course, the basic characteristics of the Oracle database system are thoroughly explained and practically practiced. Extremely useful for anyone who will eventually work with Oracle - analysts, developers, administrators, .... Classroom presentation, interactive session! Prior knowledge of SQL is recommended. The Oracle database system is widely used in larger and smaller organisations; sometimes as a black-box system to which no one has access. But in most cases fortunately as a data source used by application developers. Regardless of your job and background, basic knowledge of the Oracle system is required to work with it effectively! This course: gives an overview of the Oracle RDBMS architecture; examines the physical and logical Oracle objects, and their relationship - tablespaces, tables, indexes, views, synonyms, ... describes the general and syntactical characteristics of the Oracle RDBMS: security, locking, data utilities; gives some basic rules concerning application performance. Intended for Analysts, (DevOps) developers, and (starting) database administrators who are going to use Oracle. Everybody who wants a thorough overview of the Oracle RDBMS. Backgroud General knowledge of informatics and some familiarity with database systems and SQL (see course SQL and relational databases fundamentals). You can test for yourself to see if you have enough background by filling out the online self-test. Main topics Oracle architectureOracle instance and Oracle database • Oracle Client/server architecture Data definition and Oracle ObjectsOracle logical object structure • link with physical structure • DDL statements Application developmentoverview 3GL and 4GL Catalogcatalog • performance tables Security conceptstype privileges • roles Basic utilitiesexport/import • loader • scenarios Lockinglock types • versioning' Performance and Tuningexplain utility Training method Live instructor-led training, with plenty of opportunities for hands-on exercises and discussion Delivered as a live, interactive training: available in-person or online, or in a hybrid format.  Training can be implemented in English, Dutch, or French. If interested in organising this training internally, get in touch with us; we can even customise it to meet your specific needs. Certificate At the end of the course session, the participant receives a 'Certificate of Completion'. Duration 3 days. This course can be extended with the module 3GL application development (day 4).
€1.785
Klassikaal
max 12

Oracle Application Express (APEX)(EN/NL/FR)

This 3-day ABIS course explains the basic characteristics of application development with APEX and practices them in a structured manner. Highly suitable for future professional and ad hoc APEX developers. Classroom presentation, interactive session! Prior knowledge of SQL as well as PL/SQL is recommended. This course provides students with product knowledge and skills needed to develop database driven web applications with Oracle Application Express (APEX). At the end of the course, students will: understand the APEX architecture (instance - workspace - application); be able to use the 'SQL Workshop & Utilities' component of APEX; be able to develop data(base)-centric web applications - focusing on the development of new, full-functioning APEX applications; be able to build and use application components to be integrated in APEX applications; be able to build and use navigation components integrated in APEX - including the use of Shared Components in an APEX application; understanding 'APEX' session management; understand workspace management - manage workspace users and groups; import/export workspaces and applications. Intended for This course is intended for web application developers in an Oracle APEX context who want to build data(base) driven websites.  Backgroud Before attending this course, students must have a working knowledge of relational databases and SQL (see SQL and relational databases fundamentals); some experience with PL/SQL (see course PL/SQL database programming) might come in handy. For more advanced topics —typically beyond the scope of this text— it is recommended, that students have basic knowledge of HTML and CSS. You can test for yourself to see whether you have sufficient SQL background by filling out the online self-test "SQL fundamentals". Main topics Introducing APEX Architecture: instance - workspace - application Managing Workspaces - managing users Starting with Oracle APEX Building an Application Basics of APEX application development From scratch - (From Spreadsheet - Building WebSheets) Import and Export (Workspaces, Applications) About Pages and Regions: Pages: Page Definition, Page rendering and Page processing, Page manipulations, Page Zero Regions: Region Definition About Themes and Templates - and overruling settings and attributes Application components (I) - Creating Reports Creating reports from scratch Creating distinct report 'types' (classic, interactive, subtype and special reports) Report headers - report templates - break formatting - column formatting Navigation and Layout The APEX List Manager: Lists, List regions, Trees Application Navigation Interface Breadcrumbs Session management - State management Application components (II) - Creating Forms & Items Creating forms from scratch Creating distinct form 'types' (procedure, table, master detail, interactive grid, SQL based, ...) Editing form attributes - form specifics Items Buttons Buttons Shared components List of Values - Types of LOVs Lists (substitution) variables Training method Live instructor-led training, with plenty of opportunities for hands-on exercises and discussion Delivered as a live, interactive training: available in-person or online, or in a hybrid format. Training can be implemented in English, Dutch, or French. Certificate At the end of the session, the participant receives a 'Certificate of participation'. Duration 3 days.
€1.695
Klassikaal
max 12

Machine Learning fundamentals using Python (EN/NL/FR)

During this three-day hands-on ABIS training, you learn to analyse data and build AI models by using ML tools with Python like scikit-learn. Artificial Intelligence (AI) promises us that, provided we have large amounts of relevant data (text, images, sales details, website click events, ...) available, it can build a model from it. A model is a simplified representation of reality that allows us describe, explain, and even predict phenomena. Actually, the model detected re-occurring "patterns" in the data, or more specifically relationships between the data "features". So it can now "guess" (or predict) a target feature (next word, pixel, per-product sales prognosis, break-in attempt, ...) from the rest of the data, e.g. generate new texts and images or trigger alarms. The semi-automated process of training (i.e.: learning) and making available AI models is called Machine Learning (ML): First, relevant data must be collected, and organized in so-called Data Frames. Then, the data is passed through a set of standard, established ML algorithms to build a first version of the data model. Next, the model should be evaluated to ensure it performs well on unseen validation data, i.e.: to minimize prediction error. A suboptimal model needs to be improved by starting over: adding new data sources, applying other ML algorithms, changing algorithm parameters, ... This can of course be a highly time consuming (but largely automatic) process, depending on the size of your training data. It might help to visualize the data, in order to help this process (like selecting data features, algorithms, or parameters). When ready (and promising), the model can now be deployed outside the ML setup, for prediction, explanation, or decision-making. (A "running" model is relatively lightweight, and can continuously generate predictions on new incoming data.) This process applies across disciplines, from physics and economics to image processing and language. Established machine learning algorithms have been developed over the past decades, and were implemented in several languages. Today, Python, and more specifically packages like scikit-learn and PyTorch are very popular and user-friendly front-ends to this large collection of available algorithms. Data in any (file) format can easily be loaded into a Python (Pandas) Data Frame, split into training and validation data, and passed though the building and evaluation process. Python also easily allows to visualize a Data Frame. One of the simplest and most fundamental machine learning models is linear regression. This model assumes that the relationship between input features and target feature can be expressed as a weighted sum of the inputs. Training a linear regression model means finding the weights that minimize the prediction error. Although often too simplistic on its own, linear regression is crucial as a building block: more advanced models often use it internally since its modelling is fast, and moreover it tends to avoid overfitting to the training data (which would make models less predictive on new, unseen data). Artificial neural networks extend the logic of linear regression into a far more flexible and powerful framework. Inspired by biological neurons, these models consist of layers of interconnected nodes, each of which processes inputs through a weighted sum and a nonlinear activation function. Hidden layers transform the input into increasingly abstract representations, allowing the network to capture complex, nonlinear relationships. Neural networks perform so-called deep learning, and provide the foundation for much of modern artificial intelligence. Neural networks can be built in Python with e.g. the PyTorch package. The process of building and evaluating them is of course more time and memory consuming, but promises remarkably good results, especially in the areas of image processing (e.g. surveillance camera data) and natural language processing (NLP), with so-called large language models (LLMs). This course will get you started with the elementary practical aspects of Artificial Intelligence (AI) and Machine Learning (ML). The essential steps in the ML process will be covered in detail: obtaining and organizing data, selecting a model family, training the model, validating its quality, finding optimal model parameters, and possibly starting over by selecting additional data. We will put this knowledge into practice by building (and using) our own machine learning models in Python with scikit-learn, a popular library for ML. We'll also briefly look into neural networks, and the Python package PyTorch. Intended for Anyone that needs the hands-on with machine learning to solve real-life problems. Backgroud Good knowledge of the Python programming language is a prerequisite (see Python fundamentals). Knowledge of Pandas (see course Python for data analytics) and of Jupyter Notebook is an advantage. Main topics Overview of the data pipeline process for creating and deploying AI models. Basic concepts & techniques in AI and Machine Learning: Supervised learning versus unsupervised learning Training & testing data; cross-validation Accuracy; confusion matrix Under-fitting versus over-fitting; the bias–variance trade-off Regularisation Automating the model selection process: validation curves The different model types to be trained with Machine Learning: Predicting a continuous feature: e.g. polynomial regression, Ridge regression Classification: e.g. logistic regression, anomaly detection, decision trees, random forests Clustering: e.g. K-means Dimensionality reduction: PCA & LDA A short introduction into neural networks and deep learning Building, validating and using Machine Learning models with scikit-learn Training method Classroom teaching, focused on practical examples and supported by in-depth exercises and individual practice. Delivered as a live, interactive training – available in-person or online, or in a hybrid format. Training can be implemented in English, Dutch, or French. Certificate At the end of the session, the participant receives a "Certificate of Completion". Duration 3 days
€2.055
Klassikaal
max 12

Programming fundamentals (EN/NL/FR)

During this two-day ABIS training “Programming Fundamentals” you will learn how to design, write, and implement a simple computer program. Are you an aspiring programmer? Or perhaps an analyst, architect, or infrastructure manager? For almost everyone in the IT world, basic programming knowledge is indispensable. During this training, you'll learn to write a simple program and gain insight into the structure of more complex software. You’ll put the principles into practice: formulating and analyzing a problem, devising a solution, designing and coding a program. This way, you’ll create your own computer programs! At the end of this training, the participant will: have a thorough overview of the different steps in the development of an application; be able to analyse a simple problem and identify the basic building blocks of a solution; be able to structure a problem solution by means of Program Structure Diagrams; be able to implement a problem solution using a 3rd generation language; be able to execute, test and adapt a program. Intended for Future programmers or analysts without a specific IT training, but also end-users who want to use the existing software (SAS, word processor, spreadsheet, ...) more efficiently. Backgroud No specific background is required. Main topics What does programming mean: overview of the different steps in the application development cycle different programming languages components of a programming language and a programming environment Programming: techniques for the determination of programming structures: sequence • selection • iteration working with different types of data Program Structure Diagrams (Nassi-Shneiderman, Flowchart, ...) structured programming Exercises: transformation of a problem into program structures or an algorithm coding and testing of limited programmes by means of a 3rd generation language Training method An interactive, live training —delivered in a physical classroom, online, or in a hybrid format. The course can be delivered in Dutch, English, or French. For exercises, we generally use the Python programming language; for corporate sessions, another language can be chosen. Certificate At the end of the session, the participant receives a 'Certificate of Completion'. Duration 2 days.
€1.695
Klassikaal
max 12