【Python】Pandas Basics 02 (#202.a2)

2019/04/21(日)09:30 〜 12:00 開催
ブックマーク

イベント内容

【Python in English】Pandas Basics 02 (#202.a2)

About this course

This course is an extension for course【Pandas Basics 01 (#202.a1)】.

In this course, you will get a deep understanding of the relations between Series and DataFrame. Also, you will be able to practice more on data preprocessing with real world dataset.

Features of this course

  1. A recommended follow-up course after “Python Advanced (#102)” & “Numpy (#201)” & “Pandas Basics 01 (#202.a1)”.
  2. Each row and each code will be explained in plain words.
  3. Free to ask any question with python or data analysis.
  4. Minimum number of participants(最少遂行人数): 2 people. (If there is not enough participants 5 days before the course date, this course will be cancelled.)
  5. The whole course will be presented in English while Chinese or Japanese questions are also available.

※ 講座は全部英語で進めますが、質問は日本語や中国語でも対応しております。

※ 本次课程内容虽为全英语授课,如有问题的话日语和中文也可以对应。

Who this course is for

  1. Anyone interested in learning Pandas for data preprocessing for Machine Learning & Deep Learning.
  2. Anyone interested about the rapidly expanding world of data science.
  3. Anyone who wants to explore the value of data in order to solve business problems but don’t know how to start.
  4. Anyone who wants to jump into AI world and becomes a data analyst.

Prerequisites

  • Basic knowledge and skill for Python & Numpy & Pandas. (more than 2 hours for each packages is highly recommended.)

  • Your personal Laptop.

    • Programming software "Anaconda" is highly recommended. Please install the latest one before you come to the class.
    • Here is the download link (Free): https://www.anaconda.com/distribution/
    • Please choose the version based on the system of your laptop. E.g. Windows, macOS, Linux.
  • Your notebook as needed.

Agenda

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Course Schedule

09:20〜09:30|Reception starts

09:30〜11:50|Course based on agenda above

11:50〜12:00|Free talk

12:00〜|Finish

※ Schedule might be slightly changed without notification in advance.

Whole Course Map

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Tuition Fee

Pay at the door 当日払い: 3000 JPY

注意事項

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