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1. 數(shù)據(jù)科學(xué)與大數(shù)據(jù)分析培訓(xùn)
   ? 數(shù)據(jù)科學(xué)與大數(shù)據(jù)分析培訓(xùn)
   培訓(xùn)大綱
   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?
   Na?ve 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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