Feva Works IT Education Centre

Certificate in Data Science with Python

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Course Information

Schedules
  • 28 Nov 2024 (Thu) - 13 Feb 2025 (Thu) 7:00 PM - 10:00 PM
  • 13 Dec 2024 (Fri) - 28 Feb 2025 (Fri) 7:00 PM - 10:00 PM
Registration period
7 Oct 2024 (Mon) - 12 Dec 2024 (Thu)
Price
HKD 7,500
Course Level
Study Mode
Duration
30 Hour(s)
Language
Cantonese
Location
北角 / 長沙灣
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Course Overview

Python是一個強大、快速、簡單易讀的程式語言

自1990年代初由GuidovanRossum(又常被稱為GvR或BDFL)創造至今已歷十數年發展,應用於系統管理、網路管理、網路傳輸程式、網頁程式開發、數值分析程式、圖形介面應用程式等方面,均有優秀的表現。

30多年過去,如今,Python已經成為最受歡迎的程式設計語言之一,在Web開發、科學計算和統計、軟體發展、後端開發,以及近年來備受關注的人工智慧等領域有著廣泛的應用。Python已經成為各行業的必修課。

越來越多的人愛上了這門簡潔優雅的語言,開始學習Python,使用Python。

FevaWorks全新開辦CertificateinDataSciencewithPython專業課程,導師會以深入淺出的方法,透過實際的例子,教授Python在日常工作中的應用包括:編寫,數據處理等等,機器學習演算法的原理和實際應用,機器學習演算法的優點和缺點,大量關於金融題目的實際案例包括:Pairtrading/Futurestrading)等等,進而找出隱藏在資料中的重要訊息,亦會教授其他相關的入門技術,不懂程式也能輕鬆學習,課程以一人一機實戰練習。

What You’ll Learn


Certificate in Data Science with Python (30hrs)
1. Data Management with Python - Part One
 
  Python basic: data structures, list and dictionary, for loop/if statement, define function
2. Data Management with Python - Part Two
 
  Pandas: series / dataframe
3. Data Management with Python - Part Three (Data Visualization Techniques)
 
  Practical use of pandas features: data aggregation / joining / datetime management etc Different types of charts
  Different types of charts
4. Web scraping with Python
 
  Use of beautifulSoup and selenium
5. Overview of the use of machine learning
 
  Supervised learning / unsupervised learning
  Model Evaluation
  Data mining workflow
6. Tree based Machine Learning Algorithms
 
  Decision tree algorithm / random forest
7. Artificial neural network (ANN) & Deep learning
 
  ANN and DNN with tensorflow
8. Clustering Algorithms
 
  Kmeans and other algorithms
9. Regression
 
  Linear and polynomial regression techniques
10. Text analytics with Python
 
  Text mining techniques

 

Note: The course outline is subject to change based on the needs and requirements of the students and the latest updates in the market.

 


 



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