1. 数据科学与大数据分析培训
     数据科学与大数据分析培训
   培训大纲
   1. Big Data Analytics 
   Big Data 
   State of the Practice in Analytics 
   Data Scientist 
   Big Data Analytics in Industry Verticals 
   2. Data Analytics Lifecycle 
   Discovery 
   Data Preparation 
   Model Planning 
   Model Building 
   Communicating Results 
   Operationalizing 
   3. Basic Data Analytic Methods Using R 
   Using R to Look at Data 
   Analyzing and Exploring the Data 
   Statistics for Model Building and Evaluation 
   4. Advanced Analytics: Theory and Methods 
   K Means Clustering 
   Association Rules 
   Linear Regression
   Logistic Regression 
   Naïve Bayesian Classifier 
   Decision Trees 
   Time Series Analysis 
   Text Analysis 
   5. Advanced Analytics: Technologies and Tools 
   Analytics for Unstructured Data 
   MapReduce and Hadoop 
   Hadoop Ecosystem 
   In-Database Analytics: SQL Essentials 
   Advanced SQL and MADlib for In-Database Analytics 
   6. Putting it All Together 
   Operationalizing an Analytics Project 
   Creating the Final Deliverables 
   Data Visualization Techniques 
   Final Lab Exercise on Big Data Analytics
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