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Since February 2025
Instructor since February 2025
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Online tutoring for students in computer science, engineering and programming
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From 34.98 C$ /h
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Our team of experts is at your disposal in the fields of engineering, programming and computer science - individually and professionally specialized. The field of engineering includes several disciplines, such as mechanical engineering, electrical engineering, civil engineering and mechatronics. Below are some examples of subjects we cover, but we cover a much broader spectrum, so we can offer support in almost all engineering subjects: Mechanical engineering: statics, strength of materials, thermodynamics, mechanics, materials science, technical drawings, building services engineering, mathematics at all levels, mechanics and manufacturing technologies Electrical engineering: electrical networks, signal processing, electronics, control engineering, circuits Civil engineering: building materials, static calculations, structures, foundations, architectural planning Mechatronics: machines and mechanisms, mechanics of materials, dynamic systems, manufacturing engineering In the field of programming, we offer support in the following technologies: Java, C, C++, C#, Python, SQL, application development and web development. What do we offer you? Effective help in learning the material Support in preparing homework and projects Optimal preparation for exams, also online Whether theoretical questions or practical tasks - our goal is to make the learning process understandable and motivating for you. We offer flexible, customized tutoring so that you can progress confidently and successfully in your studies.
Location
location type icon
Online from Austria
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
German
English
Hungarian
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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3. Data Analysis Using Python (NumPy and Pandas)
This course introduces essential tools for data manipulation and analysis using Python libraries.
Topics include:
Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
Real-world exercises with sample datasets
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