我们的专家评审员团队在筛选大量数据并聆听数小时视频后,列出了10 个最佳在线 统计模型 培训、课程、班级、资格认证、教程和方案的清单。
10 个最佳在线 统计模型 课程、培训、班级和指南
课程名称 | 注册学生(人数) | 评论(数) |
---|---|---|
1. Applied Statistical Modeling for Data Analysis in R 最佳之选 | 7750+ | 1132+ |
2. Machine Learning 101 with Scikit-learn and StatsModels | 7878+ | 404+ |
3. Machine Learning and Statistical Modeling with R Examples | 2222+ | 159+ |
4. Data Science: Machine Learning and Statistical Modeling in R | 448+ | 58+ |
5. Statistical Modeling for Data science | 122+ | 16+ |
6. Statistics for Data Science and Business Decisions | 1867+ | 14+ |
7. Design and Analysis of Experiments – Part 1 | 75+ | 13+ |
8. Choosing an Appropriate Distribution | 19+ | 3+ |
9. Statistics for Managers using MS Excel | 8+ | 0+ |
10. SimpleR | 4+ | 0+ |
1. Applied Statistical Modeling for Data Analysis in R 由 Minerva Singh 教授 Udemy 课程 最佳之选
Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R
在撰写本文时,已有超过 7750+人参加了此课程,并留下了 1132+ 条评论。
2. Machine Learning 101 with Scikit-learn and StatsModels 由 365 Careers 教授 Udemy 课程
“New to machine learning? This is the place to start: Linear regression, Logistic regression & Cluster Analysis”
在撰写本文时,已有超过 7878+人参加了此课程,并留下了 404+ 条评论。
3. Machine Learning and Statistical Modeling with R Examples 由 R-Tutorials Training 教授 Udemy 课程
“Learn how to use machine learning algorithms and statistical modeling for clustering, decision trees, etc by using R”
在撰写本文时,已有超过 2222+人参加了此课程,并留下了 159+ 条评论。
4. Data Science: Machine Learning and Statistical Modeling in R 由 Star Academy 教授 Udemy 课程
Master machine learning techniques with R to solve Real-World problems and gain valuable insights from your data.
在撰写本文时,已有超过 448+人参加了此课程,并留下了 58+ 条评论。
5. Statistical Modeling for Data science 由 TechNet Consultancy 教授 Udemy 课程
Become a master of Core Stats For A Data Science Career. Master Statistical modeling and Many More
在撰写本文时,已有超过 122+人参加了此课程,并留下了 16+ 条评论。
6. Statistics for Data Science and Business Decisions 由 Abhishek Kumar 教授 Udemy 课程
Master Statistics for Data Science and Business Decisions.
在撰写本文时,已有超过 1867+人参加了此课程,并留下了 14+ 条评论。
7. Design and Analysis of Experiments – Part 1 由 Abdul Nazar K P 教授 Udemy 课程
Design of Experiments
在撰写本文时,已有超过 75+人参加了此课程,并留下了 13+ 条评论。
8. Choosing an Appropriate Distribution 由 Fernando Hernandez 教授 Udemy 课程
@RISK and other Monte Carlo simulation software users benefit by knowing how to select appropriate distributions.
在撰写本文时,已有超过 19+人参加了此课程,并留下了 3+ 条评论。
9. Statistics for Managers using MS Excel 由 Ash Narayan Sah 教授 Udemy 课程
A Step-by- Step Approach
在撰写本文时,已有超过 8+人参加了此课程,并留下了 0+ 条评论。
10. SimpleR 由 Darrin Thomas 教授 Udemy 课程
Using Machine Learning Algorithms in R
在撰写本文时,已有超过 4+人参加了此课程,并留下了 0+ 条评论。