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Tenez-vous au courant des derniers cours.
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DATA
Data Engineering
En suivant l'une des formations de cette catégorie et en réussissant le test d'évaluation des compétences, vous obtiendrez le badge numérique "Data" CERTIFIED ENGINEER à partager sur vos réseaux sociaux préférés.
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Big Data Fundamentals
Code: KLA-BDFUND
Duration: 1 day
Level: Basic
Main Category
DATA
Related Categories
CLOUD
COURSE DESCRIPTION
Explore the essentials of Big Data in this course. Gain a solid understanding of key concepts, tools, and technologies driving the Big Data revolution. Covering topics such as data storage, processing frameworks, and analytics, this course provides a foundational knowledge base for navigating the vast landscape of Big Data. At the end of the course you will be able to understand managing and insights technics from large datasets.
Data Analysis and Presentation
Code: KLA-DATANPR
Duration: 2 dayS
Level: Basic
Main Category
DATA
Related Categories
CLOUD
COURSE DESCRIPTION
This training will cover basic data analysis and presentation tools, in the context of the CRISP-DM framework. Participants will learn to navigate through the stages of data understanding, preparation, and modeling, followed by effective data presentation techniques. The course emphasizes hands-on experience with the most common tools available, in order to transform raw data into meaningful insights and visualizations, providing foundational skills for clear data storytelling.
Mastering Big Data Ecosystem
Code: KLA-MASTBDE
Duration: 4 days
Level: Intermediate
Main Category
DATA
Related categories
CLOUD
DEVOPS
COURSE DESCRIPTION
In this course you will learn about the key characteristics of Big Data, the benefits it can provide, and the types of data it incorporates. You will also be introduced to the different ways Big Data can be managed, using the components of the Apache Hadoop Framework: all the main building blocks (HDFS, Spark, HBase, Tez, Kafka and others) are discussed with hands-on, providing best practices for managing Big Data through an effective information lifecycle.
Unleashing the Power of NoSQL: Dive into MongoDB Mastery
Code: KLA-NSQLMDB
Duration: 2 days
Level: Intermediate
Main Category
DATA
COURSE DESCRIPTION
This training will introduce the idea of NoSQL databases, focusing on MongoDB concepts and applications. Participants will delve into MongoDB’s unique features, including its document-oriented structure, scalability, and flexibility. The course emphasizes hands-on experience with data modeling, querying, indexing, management, also introducing the Aggregation Framework. The training will enable learners with the skills to efficiently work with NoSQL databases in modern web applications and data-driven projects.
Increasing Scalability: NoSQL with Apache Cassandra
Code: KLA-NSQLCSS
Duration: 2 days
Level: Intermediate
Main Category
DATA
COURSE DESCRIPTION
This training will introduce the idea of NoSQL databases, focusing on Apache Cassandra database’s distributed architecture, advanced data modeling, and query techniques. Participants will gain practical skills in querying, indexing, managing and working with Cassandra key-value databases, understanding how to implement scalable, fault-tolerant solutions in real-world scenarios.
Graph Databases Unveiled: the World of Neo4j and NoSQL
Code: KLA-GRAPHDB
Duration: 2 days
Level: Intermediate
Main Category
DATA
COURSE DESCRIPTION
This training will introduce the idea of NoSQL databases, focusing on Neo4J concept and applications. The course will delve into the world of graph databases, highlighting Neo4J’s unique capabilities in handling complex data relationships. Participants will gain practical experience in data modeling, querying and understanding Neo4J’s architecture. The course aims to equip attendees with the skills to efficiently implement and manage graph databases in various data-intensive environments.
Tableau for Data Presentation
COURSE DESCRIPTION
This training will provide foundational skills to analyze data with Tableau and its intuitive interface. Participants will learn how to connect to data and create engaging charts, dashboards and reports, focusing on visualization design and storytelling techniques. Ideal for beginners, this course equips learners with practical abilities to transform data into clear, impactful visual presentations, enhancing their data communication skills.
Code: KLA-TABLEAU
Duration: 1 day
Level: Non-Technical Skills
Main Category
DATA
Power BI for Data Presentation
Code: KLA-POWERBI
Duration: 1 day
Level: Non-Technical Skills
Main Category
DATA
Related categories
DIGITAL
COURSE DESCRIPTION
This training will provide foundational skills to analyze data with Microsoft Power BI’s intuitive interface. Attendees will learn to import different types of data into Power BI, design multiple visuals, and create interactive reports or dashboards. Ideal for beginners, the course offers key skills in crafting clear, insightful data visualizations, enabling effective communication of data insights.
KNIME for Low-Code Data Preparation
Code: KLA-KNIME
Duration: 1 day
Level: Basic
Main Category
DATA
Related categories
DIGITAL
COURSE DESCRIPTION
This training will provide the foundational skills on using KNIME for low-code data preparation. Participants will learn to import, clean, and manipulate data using Knime’s intuitive interface. The focus is on mastering key nodes and workflows essential for preparing datasets for analysis. Ideal for beginners, this course offers practical skills in data handling and transformation, setting a solid foundation for further data analysis projects.
Introduction to Cryptocurrency Technology
Code: KLA-CRYPTO
Duration: 1 day
Level: Non Technical Skills
Main Category
DATA
Related categories
DIGITAL
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COURSE DESCRIPTION
The Introduction to cryptocurrency technology course has been designed for non-technical people who need to understand how blockchain technology is applied to cryptocurrency. The course revolves around crypto introduction, decentralization, mechanics, storage locations, anonymity and security, ecosystem and future reflections.
BlockChain Technology and Applications
Code: KLA-BLKCN
Duration: 2 days
Level: Intermediate
Main Category
DATA
COURSE DESCRIPTION
This course is intended as an exploration of the broader concepts, features, and functionality of Blockchain technology and their future possibilities and implications, in order to portray the general scope and status of the blockchain industry and its possibilities. A key training for curious and enthusiastic minds about this highly evolving and spreading technology into our day to day lives.
Managing Real Time Event Streaming with Kafka
Code: KLA-KAFKA
Duration: 2 days
Level: Intermediate
Main Category
DATA
Related Categories
CODING
COURSE DESCRIPTION
Get into the world of real-time data processing with this Apache Kafka course designed for data enthusiasts, developers, and architects aiming to master the Kafka ecosystem. Apache Kafka, the leading open-source, distributed event-streaming platform, enables building robust, real-time streaming data pipelines and applications. By the course end, you will have a solid understanding of Kafka and its components, like Kafka Streams, Schema Registry, Kafka Connect, and ksqlDB, in order to harness the full potential of real-time data within your organization.
Python for Data Science
Code: KLA-PYTHDS
Duration: 2 days
Level: Advanced
Main Category
DATA
Related Categories
AI
CODING
COURSE DESCRIPTION
The objective of this course is to get started with Python as the programming language and give a taste of how to start working with data in Python. You will learn these tools all within the context of solving compelling data science problems. After completing this course, you will be able to find answers within large datasets by using python tools to import data, explore it, analyze it, learn from it, visualize it and ultimately generate easily shareable reports.
Mastering SQL: the Depths of Relational Databases
Code: KLA-MASTSQL
Duration: 2 days
Level: Advanced
Main Category
DATA
Related Categories
STORAGE
COURSE DESCRIPTION
This course shows how to create and manage Relational SQL Database systems, with hands-on experience in DB creation and maintenance of most popular software solutions. The main commands for editing, inserting and modifying data into tables are shown. We will analyze the search and filtering methods of the generated output from queries. The control methodologies of logs and storage, trigger insertion and alteration of the table output are discussed. Master the foundations of Relational DB and SQL, essential for anyone navigating the data-driven world.
Discovering Artificial Intelligence
Code: KLA-DISCAI
Duration: 1 day
Level: Non Technical Skills
Main Category
AI
Related Categories
DATA
COURSE DESCRIPTION
The course aims to discover the disruptive impact of Artificial Intelligence in all kind of business. The course is oriented to administrative staff, managers and other job functions who wish to understand Artificial Intelligence and how AI revolution can help to enhance decision-making, streamline processes, and faster innovation. The course will present the Artificial Intelligence evolution, from Machine Learning till the Generative AI, exploring applications and business AI oriented use cases.
Artificial Intelligence Fundamentals
Code: KLA-AIFUND
Duration: 4 days
Level: Basic
Main Category
AI
Related Categories
DATA
COURSE DESCRIPTION
The course provides from scratch the theory and the tools to understand and use the AI technology. The entire development and production chain of a ML system is examined, starting from the Data Mining and Feature Engineering stages and going on developing and maintaining a ML model. Neural Networks and Deep Learning are also addressed to enable advanced application as computer vision, natural language processing, automatic programming and much more. All the covered topics are supported by use-cases and lab activities.
Machine Learning Technology and Practice
Code: KLA-MLEARN
Duration: 3 days
Level: Intermediate
Main Category
AI
Related Categories
DATA
COURSE DESCRIPTION
In this course, you will learn about the most effective machine learning techniques and gain practice implementing them and getting them to work. Moreover, you will learn about not only the theoretical underpinnings of learning, but also the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you will learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI.
Deep Learning Using Artificial Neural Network
Code: KLA-DLEARN
Duration: 3 days
Level: Intermediate
Main Category
AI
Related Categories
DATA
COURSE DESCRIPTION
This course presents the mathematical, statistical and computational challenges of building stable representations for high-dimensional data, such as images, text and data. We will delve into selected topics of Deep Learning, discussing recent models from both supervised and unsupervised learning. Special emphasis will be given to convolutional architectures, invariance learning, unsupervised learning and non-convex optimization.
Mastering Data Management with Spring Boot
Code: KLA-DATASPB
Duration: 3 days
Level: Advanced
Main Category
CODING
Related Categories
DATA
COURSE DESCRIPTION
Advance your data management skills with this tailored course for Java developers. This comprehensive course delves into using Spring Boot with diverse data technologies such as MongoDB, Redis, Neo4j, PostgreSQL, and Kafka. Gain hands-on experience in integrating these systems using Spring Data JPA and mastering the nuances of SQL and NoSQL databases. The course emphasizes practical application, from setting up robust data models and repositories to implementing transaction management, caching strategies and data streaming for performance optimization.
Social Media Data Analysis
Code: KLA-SOMED
Duration: 1 day
Level: Non-Technical Skills
Main Category
DIGITAL
Related Categories
DATA
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COURSE DESCRIPTION
This course is aimed to professionals aiming to use the power of social media data for strategic decision-making. You will learn methods of collecting, processing, and interpreting social data to extract valuable insights. It covers advanced analytics techniques, sentiment analysis, and tools utilization to understand social trends and audience behaviour. Equipping participants with skills to translate social data into actionable business strategies, it is essential for those seeking to cope with social media diversity for organizational success.
Data-Driven Decision Making
Code: KLA-DDDMA
Duration: 2 days
Level: Basic
Main Category
DIGITAL
Related Categories
DATA
COURSE DESCRIPTION
The Data-Driven Decision Making training course is designed to empower professionals with the skills needed to make informed choices through rigorous data analysis. Participants will learn to collect, clean, and analyze data effectively, turning raw information into actionable insights. With a focus on practical applications, this course equips individuals across industries to navigate the complexities of today’s data-driven business environment and drive organizational success through informed decision-making.
Business Intelligence: Methods, Processes and Tools
Code: KLA-BIMPT
Duration: 3 days
Level: Intermediate
Main Category
DIGITAL
Related Categories
DATA
COURSE DESCRIPTION
Business Intelligence: Methods, Processes, and Tools training course equips participants with the essential skills to harness data for informed decision-making. Covering a spectrum of methodologies, we explore data collection, analysis, and visualization techniques. You will gain proficiency in utilizing cutting-edge BI tools, in order to extract actionable insights from complex datasets. This comprehensive program empowers professionals to navigate the dynamic landscape of business intelligence with a focus on strategic decision support.
SQL Server Implementation and Management
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Code: KLA-SQLSERV
Duration: 4 days
Level: Intermediate
Main Category
STORAGE
Related Categories
DATA
COURSE DESCRIPTION
This training spans key areas essential for effective Microsoft SQL Server administration. It covers database design principles, focusing on normalization, indexing, and schema design. It focuses on implementation of security measures, user permissions, roles, and encryption, performance tuning strategies, query optimization, and the utilization of advanced MS SQL Server features. Hands-on sessions provide practical experience in installation, configuration, and maintenance tasks, emphasizing real-world scenarios.