USA LaoTu 高薪转行做数据第一平台
只要你有颗求变的心并愿意行动，到这里来，必使你得改变！成千聪明华人循此捷径高薪进入大公司！ => 注重实战的教学作风 新开课程 时间内容 => Topic started by: USA LaoTu Support Team on February 02, 2018, 06:41:40 PM
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Python for Data Analysis Term1,2 课程开出后，广受上课同学好评。我们将在2月份开出Term3 课程：
专家讲授 Python for Data Analysis第3期 18:00-20:30 Tue, Thur, 16:00-19:00 Sat, 02/20 to 03/15/18
Part I: Python fundamental
1.Lists and Tuples
2.working with strings
3.dictionaries：when indexes won't Do
4.conditions, loops and some other statements
5.Abstraction
6.Objects
7.Exceptions
8.magic methods, properties, and iterators
9.files and stuff
10.Database Support
Part II: Python for Data analysis
1.NumPy Basics: Arrays and Vectorized Computation
2.Getting Started with pandas
3.Data Loading, Storage, and File Formats
4.Data Wrangling: Clean, Transform, Merge, Reshape
5.Plotting and Visualization
6.Data Aggregation and Group Operations
7.Case Study
7.1 Analyzing the No-Show
7.2 House Prices - Data Exploration and Visualisation
7.3 Homicide Reports, 1980-2014
7.4 Global Terrorism Trends
7.5 Titanic Data Science Solutions
7.6 H-1B Visa Petitions 2011-2016
7.7 Person of the Year, 1927-Present
7.8 Emergency - 911 Calls
7.9 Presidential Inaugural Addresses US president name, date, and speech text
7.10Amazon Reviews Unlocked Mobile Phones
Part III：Machine Learning
1.How Models Work
2.Starting Your ML Project
3.Selecting and Filtering in Pandas
4.Your First Scikit-Learn Model
5.Model Validation
6.Underfitting, Overfitting and Model Optimization
7.Random Forests
8.Submitting From A Kernel
9.Handling Missing Values
10.Using Categorical Data with One Hot Encoding
11.Learning to Use XGBoost
12.Partial Dependence Plots
13.Scikit-Learn Pipelines
14.Cross-Validation
15.Data Leakage
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Is it too late to register this course? :)