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SQL & Relational Database (SQL_&_RD_EN)

  • With the SQL & Relational Databases course, you will gain practical expert knowledge of SQL and relational databases. You will break down common SQL practices and learn how to get the most out of relational databases with the latest best practices.

    The seminar will take place as e-learning/self-study units that must be completed within a specified time period. We offer this as a closed seminar for whole groups of a company. If you are interested in this measure for your employees, please contact us by stating the course title via service.spe@siemens.com.

    Start dates:
    18.09.2023 - 15.10.2023
    16.10.2023 - 12.11.2023
    13.11.2023 - 10.12.2023
    04.12.2023 - 31.12.2023
    22.01.2024 - 18.03.2024
    19.02.2024 - 17.03.2024
    18.03.2023 - 14.04.2023
    15.04.2024 - 12.05.2024
    13.05.2024 - 09.06.2024
    10.06.2024 - 07.07.2024
    08.07.2024 - 04.08.2024
    05.08.2024 - 01.09.2024
    02.09.2024 - 29.09.2024
    30.09.2024 - 27.10.2024
    28.10.2024 - 24.11.2024
    25.11.2024 - 22.12.2024

Ziele

  • Getting started and working with SQL.
Typ E-Learning
Dauer 32 Stunden
Sprache en

Zielgruppe

  • The mid level course is designed for anyone who wants
  • to learn SQL quickly and in a hands-on manner, apply the
  • knowledge and thus improve their IT skills.
  • The course is also suitable for people who want to pursue a
  • career in the IT or tech industry or become Data Scientist or
  • Business Intelligence Consultants.

Inhalte

  • Use SQL to quickly get a practical overview of the data in
  • order to write and carry out basic and advanced SQL queries
  • Select the correct SQL query technique for each specific
  • situation and generate optimized queries
  • Key functions for organizing, filtering and categorizing
  • information in a relational database
  • Elected practical projects and programming exercises
  • in Jupyter Notebooks
  • Advanced knowledge of views, CTEs, subqueries
  • and window functions

Teilnahmevoraussetzung

  • Interest in working with data or data processing tools. Basic math and a logical understanding. No programming skills are required.

Hinweise

  • Onlinetraining

Gebühr

2.100 EUR

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