Course Outline
Python Struktur Data dan Operasi
- Bilangan bulat dan pecahan
- String dan byte
- Tuple dan list
- Dictionary dan ordered dictionary
- Set dan frozen set
Object-Oriented Programming dengan Python
- Pewarisan
- Polimorfisme
- Kelas statis
- Fungsi statis
- Dekorator
Data Analysis dengan Pandas
- Data frame (pandas)
- Pembersihan data
- Menggunakan data tervektorisasi di pandas
- Pengolahan data
- Pengurutan dan penyaringan data
- Operasi agregasi
- Menganalisis deret waktu
Data Visualization
- Membuat diagram dengan matplotlib
- Menggunakan matplotlib dari dalam pandas
- Membuat diagram berkualitas
Vektorisasi Data di Numpy
- Membuat array Numpy
Python untuk Web
- Paket untuk pemrosesan web
- Web crawling
- Parsing HTML dan XML
- Mengisi formulir web secara otomatis
Requirements
- Pengalaman pemrograman dari tingkat pemula hingga menengah.
- Pengetahuan tentang matematika dan statistika.
- Pengetahuan tentang konsep database.
Testimonials (5)
Fakta memiliki lebih banyak latihan praktis menggunakan data yang lebih mirip dengan apa yang kami gunakan dalam proyek kami (gambar satelit dalam format raster)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
Machine Translated
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Course - Data Analysis in Python using Pandas and Numpy
I mostly enjoyed everything.