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Database lessons in Zawyat An Nwaçer

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13 database teachers in Zawyat An Nwaçer

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13 database teachers in Zawyat An Nwaçer

Marouane - Rabat$21
$21Business intelligence, data warehouse, Etl, SQL server, star schema or snowflake, power bi
Trusted teacher: As a data scientist with in-depth expertise in artificial intelligence, machine learning, deep learning, time series and data mining, I put my skills at your disposal as a data engineer specializing in Business Intelligence within a large company. I offer you comprehensive training covering the entire Business Intelligence pipeline, from data collection to visualization. During these sessions, you will learn: • The conception and design of data warehouses adapted to your specific needs. • Data models such as star schema and snowflake to optimize your data structure. • Practical use of SQL Server as well as other SQL databases to efficiently manage your data. • Advanced Extraction, Transformation and Loading (ETL) techniques with SSIS to automate processes. • Creating interactive reports and impactful dashboards with Power BI and DAX or IBM Cognos. In-depth presentations, based on solid practical experience and up-to-date theoretical knowledge, covering all aspects of the Business Intelligence pipeline. Concrete and relevant examples, taken from real use cases, to illustrate theoretical concepts and facilitate their understanding. Please feel free to contact me to discuss your specific needs and to schedule training sessions tailored to your schedule and goals. With this training, you will be ready to take full advantage of your data and make informed strategic decisions.
Computer science · Database · Microsoft sql server
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(1 review)
Mousab - Casablanca$19
$19Mr: Mousab -Training and courses: Merise and database
Trusted teacher: The Merise course is a methodology for the design and development of information systems, in particular databases. It is structured around different steps to analyze, design and implement a database in an IT environment. Here is a general description of the main elements of the Merise Database Management course: When using the Merise methodology for database design, one generally works with three main types of models: MCD - Conceptual Data Model: The Conceptual Data Model is a representation of entities, their attributes and the relationships between them, independent of any technical aspect. It is often developed using Entity-Relationship (ER) diagrams. MCD focuses on representing business concepts and the relationships between them. It allows you to visualize the major entities of the organization and their interactions. MMD - Multidimensional Model: The Multidimensional Model is particularly used in the field of data warehousing. Unlike the traditional relational model (used in operational databases), the multidimensional model is designed to analyze data along different dimensions. It is based on data cubes containing measurements and axes (dimensions) to analyze these measurements. This model is more suitable for decision analysis. MPD - Physical Data Model: The Physical Data Model is a concrete and technical representation of the structure of the database. It takes into account the specificities of the database management system (DBMS) chosen for implementation. MPD focuses on implementation details such as tables, columns, data types, indexes, constraints, etc. These three models are generally used as part of the Merise methodology to gradually move from an abstract and conceptual representation of data (MCD) to a more concrete and technical representation (MPD) while taking into account the specific needs of the organization or the project. MMD, on the other hand, is more oriented towards data analysis for decision-making processes and is not directly linked to the physical structure of the database.
Database
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Jerome - Paris, France$152
$152PhD in cognitive psychology and statistician teaches psychology, neurosciences and statistics
Trusted teacher: Experienced teacher in science and doctor in psychology and cognitive neurosciences graduated from the University of Strasbourg (holder of a master 2 in research in Biology and a professional master 2 in scientific communication), I offer private lessons in psychology (cognitive , social, developmental psychology, neuropsychology etc.), neurosciences as well as in statistics (theoretical and applied to experimental protocols) with a personalized methodology according to the needs and potentialities of each student. Thanks to a rigorous pedagogical approach, specific and adapted to each request, I offer effective methodological assistance (references available) to meet the expectations of the students and to achieve or even exceed the objectives set. My courses also include a coaching method to optimize the learning and training necessary to pass university exams in psychology, neuroscience and statistics (as well as your research dissertations and oral defenses with or without PowerPoint support). My courses are aimed at students (in psychology, neurosciences, medicine, etc.) wishing to optimize their performance and marks in exams and competitions. Schools, Universities and teaching institutes: Universities of Strasbourg and Paris 8, CNRS, Ecole Polytechnique, ESSEC Business School, ISTH, IONIS Education Group, EEEA, Institut Tocqueville etc.
Statistics · Database · Cognitive psychology
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Noshima - Prilly, Switzerland$31
$31Foundation of Data Science -- For Beginners students.
Trusted teacher: Hi Students, Foundation of Data Science is for complete Beginners. This course is In-depth knowledge and hands-on tools to use and work with different kinds of data. Gaining practical experience across the data science pipeline by acquiring proficiency in the data science coding language R. Foundations of Data Science is for those who work with both structured – spreadsheets and data tables – and unstructured data and who need to understand how to automate data to gain insights, contribute to strategic discussions and make data-driven decisions. With my Course you’ll gain a broad understanding of the tools and techniques used to work with data. 1. What is Data: Learn about data types, structures and frameworks 2. Interacting with Data: Understanding how data is used and how to use data 3. Where Data comes from: The processes for acquiring and sharing Data 4. Storing & Structuring Data: Working with different types of databases and data sets 5. Cleaning Data: Working with messy or incomplete data sets 6. Analyzing Data: Gaining insights with data science techniques and tools 7. Visualizing Data: Best practices and tools for data visualization and presentation 8. Machine Learning & Artificial Intelligence: How data is used by machines 9. Working as a Data Scientist: What do data scientists really do? 10. Data & Society: Ethics and the uses of data in society
Database · Computer science
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 23 reviews.

[PYTHON - Data Science - AI] Learn Python & Data Science & Artificial Intelligence from beginner to advanced (La Celle-sous-Gouzon)
Emna
Emna is an excellent teacher. Emna makes every lesson fun to learn and my son (9 years) is having fun learning to code. He has taken so much interest after starting Python with Emna that he started coding himself after just 10 lessons! Highly recommend Emna.
Review by NIRAJ
Statistics, Data Analysis, Math, Economics all levels (Luxembourg)
Ana Cecilia
Cecilia was a great and I am very thankful for her support in my studies. She is very thorough and educational in her methods. It patent she enjoys teaching and is passionate about Stats and Econometrics.
Review by LUIS
Computer science and coding development: WEB Desktop Mobile. (Fribourg)
Zara
Zohra is a very nice and helpful person with huge knowledge in her expertise. I would highly recommend her for Python classes.
Review by ADRIENNE

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