【Python in English】Pandas Advanced (#202.2)

【Python in English】Pandas Advanced (#202.2)

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Free (無料)
先着順 無料 5人 / 定員8人

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【Python in English】Pandas Advanced (#202.2)

About this course

This course is the extension for 【Pandas Basics (#202.1)】.

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 Basics (#201)” & “Pandas Basics (#202.1)”.
  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: 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.

※ At least 6 hours programming with Python. (Control Statements, data types, etc.) ※ At least 2 hours programming with Numpy. (Arrays & Matrices Creation, Indexing & Slicing, etc.) ※ At least 2 hours programming with Pandas. (Series, DataFrame, etc.)

  • Personal laptop. (Editor "Anaconda" is highly recommended.)
  • Personal 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

Free (無料)

注意事項

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