S******y
发帖数: 1123 | 1 Saturday 4/19
Python Class - Saturday 8:30 AM (Pacific Daylight Time )
- Data Types and Expressions
- Variables
- Statements
- Functions, Methods and Modules
- Strings
- Lists and Tuples
- Dictionary
- Handling Exceptions
- File I/O
- Conditionals, Loops and other statements
- Hands on coding (inc. Examples: financial underwriting data)
- a quick demo on Hadoop File System, Hive and Python streaming.
---------------------------
R Class - Saturday 11:00 AM (Pacific Daylight Time)
1) R concepts review thoroughly (data types, data structure - vector, list,
data frame, matrix, array; functions, control statements, File I/O, graphs)
and often used R packages
2) R to visualize, re-code, and explore variables in a real-world financial
underwriting data set from an online financial institution
3) Walking through one Kaggle.com Competition data from beginning to end (
using R to build your own tree model, generate & submit your own prediction
scores)
4) a quick demo on Hadoop File System, Hive and Python streaming.
Besides, 大家可就current job market and interviews 提问。我会详细解答。
========================================
Real-world example and coding will be included. You can also use Q&A to
discuss data science questions with me.
it will be interactive via Skype and you will see my PC screen throughout
the session.
========================================
发信人: StatsGuy (StatsGuy), 信区: Statistics
标 题: ~回答一个同学们经常问的 关于Python培训课的问题
发信站: BBS 未名空间站 (Tue Apr 15 00:40:46 2014, 美东)
同学们经常问 - 两个小时的培训课是否太短了，能学会Python吗？
Here is how my students grasp Python/R in two hours -
1) After a student registers, he/she will be receive pre-class installation
instructions, and class materials (including entire deck for class, real-
world data files, hands-on exercise/code) prior to class. Students can
study thoroughly prior to class). You can email me any time with questions
before class.
2) Python and R, each is a vast topic. In my class, we focus on Python & R
data science capabilities. We stay laser-focused on real-world practices in
data science field. (Unlike generic Python training classes, we do not have
to worry about things such as drawing button on a canvas, or building a
calculator). Upon leaving my class, students will have gained capability
toread in data files in Python & R, and to perform summarization &
visualization of data.
3) Students can re-take the class one more time (free of charge) if he/she
likes.
-------------
Happy Python!
-StatsGuy
m*********[email protected]
欢迎浏览Python/R/Hadoop实战速成课(+工业界coding实例)网页-
http://plus.google.com/+statsGuyMITBBS/about |
|
