When talking about data it is important to understand the role of databases and modeling. With this training you will see how to evaluate the quality of a data organization in order to establish possible improvements to be made.
When talking about data, it is important to understand the role of databases and modeling. With this training, you will learn how to evaluate the quality of a data organization in order to establish possible improvements to be made.
This requires having a clear understanding of modeling as a whole: the objectives, the integration into the development process, the formalisms, the stages... there are so many points to anticipate in order to build data models.
Training Aims
Be able to describe the stages and levels of modeling, present the main approaches, build data schemas, and evaluate the quality, weaknesses, and improvements of a data organization.
Target Customers
All development positions (except supervision), Web specialist positions, all network positions (except security), and purchasing and marketing positions
Prerequisites
Training Architecture
Introduction: databases and architecture
Levels of data modeling: conceptual, logical and physical
Techniques, objectives, benefits and limits of modeling
Conceptual model: entities, properties, identifiers, relationships, cardinalities, rules and construction activities
Normalization (1FN, 2FN, 3FN)
Rules for constructing diagrams
Design activities and strategies
Miscellaneous advice: generalization, personalization and grouping
Logical model: tables, columns, connectors, primary, alternate and foreign keys, integrity and derivation rules
Rules for constructing a relational diagram
Transforming entities
Physical model: internal organization of data and access methods
Relationships: 1:1, 1:n, n:m, association attributes
Current directions
Since 1996, Technologia has been a training and skills development partner, enabling business leaders and managers to improve their performance, as well as that of their teams, through a wide variety of learner-centered training. We offer consulting and support services based on the company's business objectives.
Our main areas of training expertise cover:
Project management, transformation and operations
Leadership and talent management
Information Technology
Marketing and customer relations
Essential knowledge
Our mission
Support organizations in all sectors and their employees in developing their skills by offering them learning management consulting services as well as training adapted to their needs.
We firmly believe that competence is a strategic element directly linked to achieving business objectives and improving overall performance.
What We Aspire To:
Position ourselves as a leader, a strategic partner par excellence in Quebec, able to offer a global and integrated service in the field of corporate training. It is obvious to us that maintaining and developing skills is essential to the success of individuals and the performance of organizations.
This Is Why Technologia:
Advises and equips Quebec companies to promote the development of their skills and the achievement of desired performance levels
Supports individuals in updating their skills during the development of their careers.
Use the Data Structures and Algorithms in Python course and lab to master all the concepts associated with Data Structures algorithms. The lab is cloud-based, device-enabled, and can easily be integrated with an LMS.
This data provides organizations with the information they need to respond quickly to organizational and market changes and opportunities.
Data structures course training is offered by Launchpad Learning for adults. Launchpad Learning has a lot to offer. We have many years of experience helping students from Mount Royal University, University of Calgary and SAIT.
This course aims to provide a thorough understanding of fundamental data structures and their implementation in Python. Students will learn how to work with arrays, linked lists, stacks, queues, trees, and more, as well as gain a foundational knowledge of algorithm analysis.
Evaluate the most practical industry technologies and teach the best languages, best tools, and best practices. Provide courses that lead to a technical certificate or a vocation.
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