Carpe Diem

シンシナティ大学で都市計画を勉強していた、ある大学院生の物語。現在はマンハッタンで就活。

[1 Month Challenge] Learn data science in a month Opening Session

2017-06-30 22:46:29 | daily life
ずっと勉強したかったデータサイエンス。
ただただ先延ばしにしてたけど、先延ばしにするのをやめよう。
そう思って、meetupを始めました。

初回は10人参加してくれて、
そのほとんどはFBやミートアップのイベントで知り合った人たち。
ただ数人はイベントを見てあったこともないのに集まってくれた人たち。

しかも1ヶ月のプロジェクトでこんなに集まるとは思わなかった。
しかもみんなのモチベーションが高い。
ただただ純粋に嬉しい。


下はイベントの告知文章。
-----
Hi Future Data Scientists!

We are excited to host our opening session for the Learn Data Science in A Month Challenge! If you are passionate to learn fundamental skills of data science and machine learning, we should talk.

In the coming month, we will organize 4 meetups to learn Python for Data Science and Machine Learning Bootcamp course ( https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp ) together.

People:

Anyone who has passion to learn data science. (Although it would be nice to have some coding experience, but you can learn through the course. )

Goal:

After finishing this challenge, you are able to apply the skillset you learned through the course to real-life projects.

Duration:

July 1 - July 31 (expected study hours: 50 hours)

Syllabus:

We use the following Udemy course as our learning material (Farmer data scientist at Google also recommended this course )

https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp

Schedule:

Week 1: Section 1 (Course Introduction) to Section 7 ( Python for Data Analysis - Pandas Exercises )

Week 2: Section 8 ( Python for Data Visualization - Matplotlib ) to Section 13 ( Python for Data Visualization - Matplotlib )

Week 3: Section 14 ( Introduction to Machine Learning ) to Section 21 ( K Means Clustering )

Week 4: Section 22 ( Principal Component Analysis ) to Section 26 ( Neural Nets and Deep Learning )

Fee:

You need to buy the Udemy course. Most of the time, you can buy the course around 2,000 yen.

Also please pay your dinner and drinks you buy at the Base Point

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