This course provides students with an understanding of the concept, analysis methods and precise modeling techniques of big tree data analysis. Through the course content, students can understand and use the analytical methods of big data analysis and the first and foremost accurate modeling ability required by big data and artificial intelligence.

Futures

1. Learning how simulate data from probabiltiy distributions, to prepare for finding the probaibltiy model for data.

2. Finding the probaiblity model for data by goodness of fit and the curve fitting method. (Univeral and Unique course to teach you find the probaiblty model for data, not seeing the frequency plot. )

3. Doing the statistical analysis of confidence interval by finding the data’s probabilty distribution first. This way can get the correct critical values for the statistical analayhsis of the parameters or the coefficients of descriptive statistics.

4. Building the accurate model of data. (Univeral and Unique course to teach the methodology with the outcomes including mathematical equations.)

Schedule

Text book

Text book of Traditional Chinese version

王冠先、李玫郁(Mei-Yu Lee)，2019，統計學不能做為大數據分析的工具-原因與補正，機統股份有限公司，初版。

Evaluation

1. online course video 30%
2. interactive 30%
3. final report 40%

Course Policies and Requirements

1. If there are any questions about online sections or contents, be free feel to leave messages on tronclass.
2. The live stream is very important to decide your final report topic. Join the live stream on time.
3. There are six assignments that connected with the final report.