Rajaa hakua
Piilota rajaukset
TE00CS06-3003
Opintojaksolle osallistuvalta edellytetään äidinkielen tasoista suomen kielen taitoa eli C-taitotasoa.
Opiskelijalla on vastuu tarkistaa edeltävyysehtojen täyttyminen ennen ilmoittautumista.
Opettajalla on peruste hylätä ilmoittautuminen, jos edeltävyysehdot eivät täyty.
Viestintäkanavana käytetään sähköpostia ja Itslearningia.
TE00CM20-3003
The teacher will inform about the course practicalities in itslearning.
If you have any questions about the course, please contact the course teachers by email.
Enroll to course in Peppi. When your enrollment is accepted, you'll get access to course's itslearning (within a day or two after enrollment acceptance).
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Course material and assignments in Its Learning and AWS academy.
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Qualifications:
Before taking an "Introduction to Data Engineering with Python" course, students typically need a foundational understanding of several key areas. Here are the mandatory and recommended prerequisite courses and topics.
1. Mandatory Prerequisites:
1.1. Programming:
1.1.1. Introduction to Programming: Knowledge of programming fundamentals,
including concepts like variables, loops, conditionals, and functions.
1.1.2. Python Programming: Familiarity with Python, including basic syntax, data
types, control structures, and function and modules
1.1.3. Error Handling
1.1.4. Object-oriented programming (OOP)
1.1.5. Data Manipulation: Skills in using Pandas library including DataFrames and
Series, reading, writing, filtering, and transforming data
1.2. Databases: Knowledge of how databases work, including concepts like tables, keys, normalization, and indexing.
2. Recommended Topics:
2.1. Algorithms and Data Structures: Basic understanding of algorithms and data
structures such as arrays, lists, trees, and graphs, which are crucial for data
processing
2.2. Having the fundamental knowledge of cloud services or passing the Cloud Services
Course in TUAS (Lecturer: Ali Khan)
2.3. Version Control Systems: Basic understanding of tools like Git for version control.
2.4. Basic Algebra and Calculus: Fundamental math skills to handle data transformations
and calculations.
2.5. Statistics: Understanding of basic statistical concepts like mean, median, standard
deviation, and probability distributions.+
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** Prerequisites for Back- End Development Course:
1- JavaScript: Basic Syntax and Control Structures, Functions and Scope, Asynchronous Programming
2- Databases
** Recommendations (Optional but Beneficial):
1- Basic Understanding of RESTful APIs: Knowledge of HTTP methods (GET, POST, PUT, DELETE) and status codes.
2- Experience with JSON: Understanding of JSON format for data interchange.
3- Basic Knowledge of Git: Familiarity with version control using Git.
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An oral communication is used during the classes. For the written communication Itslearning and e-mail are applied.
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Tehtäväpalautukset ja läsnäolot: It's Learning
Henkilökohtainen viestintä: Sähköposti
Kurssilla ei ole esitietovaatimuksia.
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The course's and theFIRMA itslearning and Microsoft Teams.
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Avoimen AMK:n opiskelijoita otetaan mukaan opintojaksolle max 3.
Lue myös opintojakson edeltävyysehdot (=opiskelijalla pitää olla ohjelmoinnin perusteet suoritettuna tai vastaavat taidot).
TE00BR87-3005
the course's and theFIRMA itslearning and Microsoft Teams
TE00BR88-3004
Course material and assignments are in It´s Learning
3011633-3007
+ Qualifications/Prerequisites:
Student enrollment in the course will not be accepted by the instructor if they have not passed the following prerequisite courses:
- Python programming skills and skills in utilizing Pandas for data manipulation and Numpy for numerical operations and array handling
- Basic knowledge of probability, statistics and linear algebra
+ Communication Channel:
Itslearning and email
TT00CD87-3003
Course material and assignments in Its Learning and AWS academy.
USE OF ARTIFICIAL INTELLIGENCE REPORTED
Allowed, can be used, must be reported. Artificial intelligence can be used in the creation of outputs, but the student must clearly report its use. Failure to disclose the use of AI will be interpreted as fraud. The use of AI may affect the assessment.