EDITORIAL words
This year Data Science and Data Scientist is more "hot" term, and major companies, not just IT & ICT types of companies are working in related fields, recruitment and training of appropriate personnel. Data Science as a new career direction a wide caliber, full of job opportunities, but, no matter what you learn professional background, there is new professional knowledge to learn new areas. At present, many Data Scientists recruitment advertising, the professional requirements for applicants, usually written with burst length of string: "Applied Mathematics, Statistics, Computer Science, Economics, Operations Research or Engineering" - this last "Engineering" wide range, generally do quantitative or computational direction, will be modeling, we have considered. The wording, the meaning behind the words, as long as you can play with statistics, able to understand mathematics, and made the modeling, all are welcome.
Knowledge of statistics is to become a Data Scientist must have. So we need to start our journey from a statistical ......
(Start cramming knowledge of statistics)
Key statistical study notes summary
(A) the basic concepts of statistics
(Ii) collecting data
Digital signature (iv) Data Distribution
(E) the sampling distribution
(Vi) parameter estimation
(Vii) hypothesis testing
(Viii) Categorical Data Analysis
Analysis (nine) variance https://blog.csdn.net/seagal890/article/details/105021319
(X) correlation analysis and regression analysis
(Xi) Time Series Analysis
(Xii) index analysis
