推薦想上 經濟學 迴歸分析課程的你，不曉得選擇一堂線上課程好對嗎？
現在的線上課程非常多種，多到不曉得該怎麼選以及也太多平台了
沒關係！就讓我為你推薦Udemy平台吧！
如果本文章沒有搜尋到你要的經濟學 迴歸分析課程的話，可以去到Udemy平台看看
為何我推薦Udemy，主要是因為此平台包含了非常多種線上課程
我介紹的線上課程主要是選擇比較熱門為主，當然的你還是可以去找找你適合的線上課程唷！
PS: 由於Udemy時常更新價格，此網站更新較慢，所以價格還是以官網為主，請見諒！
另外我推薦的課程都是以中文、英文為主，雖然很多人不太喜歡英文，但還是要介紹一下，畢竟Udemy英文課程滿多的，中文比較少。
不排斥的話，可以順便練練英文。
目錄
10堂CP值最高的經濟學 迴歸分析線上課程推薦給你
我分享的線上課程都是屬於比較多人推薦以及CP值我覺得滿高的，可以參考看看
可能經濟學 迴歸分析線上課程太多不知道怎麼選擇？
別擔心，我在最後有附上比較介紹經濟學 迴歸分析線上課程表格，讓你一目了然！
如果想直接到最後一頁，請點擊上方的目錄，可以快速滑動到你要的線上課程資訊喔！
可能線上課程未滿10堂，後續會慢慢補齊
① 88 折 Deep Learning Prerequisites: Linear Regression in Python
Data science, machine learning, and artificial intelligence in Python for students and professionals
導師: Lazy Programmer Inc.
課程上次更新 6/2021
評分:4.6
學生:
27336 ↑
時長:6小時 18分
售價
2,790 元
特價
330元
透過這堂課，你將學會👇
- Derive and solve a linear regression model, and apply it appropriately to data science problems
- Program your own version of a linear regression model in Python
② 44 折 Deep Learning Foundation : Linear Regression and Statistics
Learn linear regression from scratch, Statistics, R-Squared, Python, Gradient descent, Deep Learning, Machine Learning
導師: Jay Bhatt
課程上次更新 2/2021
評分:4.5
學生:
9163 ↑
時長:6小時 31分
售價
590 元
特價
330元
透過這堂課，你將學會👇
- Mathematics behind R-Squared, Linear Regression,VIF and more!
- Deep understating of Gradient descent and Optimization
- Program your own version of a linear regression model in Python
- Derive and solve a linear regression model, and implement it appropriately to data science problems
- Statistical background of Linear regression and Assumptions
- Assumptions of linear regression hypothesis testing
- Writing codes for T-Test, Z-Test and Chi-Squared Test in python
③ 44 折 Complete Linear Regression Analysis in Python
Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also
導師: Start-Tech Academy
課程上次更新 4/2021
評分:4.3
學生:
129703 ↑
時長:7小時 29分
售價
590 元
特價
330元
透過這堂課，你將學會👇
- Learn how to solve real life problem using the Linear Regression technique
- Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression
- Predict future outcomes basis past data by implementing Simplest Machine Learning algorithm
- Understand how to interpret the result of Linear Regression model and translate them into actionable insight
- Understanding of basics of statistics and concepts of Machine Learning
- Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem
- Learn advanced variations of OLS method of Linear Regression
- Course contains a end-to-end DIY project to implement your learnings from the lectures
④ 88 折 Regression Analysis / Data Analytics in Regression
Gain Important and Highly Marketable Skills in Regression Analysis – Tame the Regression Beast Today!
導師: Quantitative Specialists
課程上次更新 11/2017
評分:4.3
學生:
4268 ↑
時長:2小時 9分
售價
2,690 元
特價
330元
透過這堂課，你將學會👇
- Understand when to use simple, multiple, and hierarchical regression
- Understand the meaning of R-Square and the role it plays in regression
- Assess a regression model for statistical significance, including both the overall model and the individual predictors
- Effectively utilize regression models in your own work and be able to critically evaluate the work of others
- Understand predicted values and their role in the overall quality of a regression model
- Understand hierarchical regression, including its purpose and when it should be used
- Use regression to assess the relative value of competing predictors
- Make business decisions about the best models to maximize profits while minimizing risk
- Critically evaluate regression models used by others
- Learn how to conduct correlation and regression using both IBM SPSS and Microsoft Excel
⑤ 88 折 Regression Analysis for Statistics & Machine Learning in R
Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in R
導師: Minerva Singh
課程上次更新 11/2020
評分:4.5
學生:
3987 ↑
時長:7小時 26分
售價
2,690 元
特價
330元
透過這堂課，你將學會👇
- Implement and infer Ordinary Least Square (OLS) regression using R
- Apply statistical and machine learning based regression models to deals with problems such as multicollinearity
- Carry out variable selection and assess model accuracy using techniques like cross-validation
- Implement and infer Generalized Linear Models (GLMS), including using logistic regression as a binary classifier
- Build machine learning based regression models and test their robustness in R
- Learn when and how machine learning models should be applied
- Compare different different machine learning algorithms for regression modelling
⑥ 88 折 Machine Learning Regression Masterclass in Python
Build 8+ Practical Projects and Master Machine Learning Regression Techniques Using Python, Scikit Learn and Keras
導師: Dr. Ryan Ahmed, Ph.D., MBA,Mitchell Bouchard,Ligency Team
課程上次更新 8/2021
評分:4.6
學生:
3847 ↑
時長:10小時 21分
售價
2,790 元
特價
330元
透過這堂課，你將學會👇
- Master Python programming and Scikit learn as applied to machine learning regression
- Understand the underlying theory behind simple and multiple linear regression techniques
- Apply simple linear regression techniques to predict product sales volume and vehicle fuel economy
- Apply multiple linear regression to predict stock prices and Universities acceptance rate
- Cover the basics and underlying theory of polynomial regression
- Apply polynomial regression to predict employees’ salary and commodity prices
- Understand the theory behind logistic regression
- Apply logistic regression to predict the probability that customer will purchase a product on Amazon using customer features
⑦ 82 折 The STATA OMNIBUS: Regression and Modelling with STATA
4 COURSES IN 1! Includes introduction to Linear and Non-Linear Regression, Regression Modelling and STATA. Updated Freq.
導師: F. Buscha
課程上次更新 6/2021
評分:4.3
學生:
1441 ↑
時長:19小時 15分
售價
1,790 元
特價
330元
透過這堂課，你將學會👇
- The theory behind linear and non-linear regression analysis.
- To be at ease with regression terminology.
- The assumptions and requirements of Ordinary Least Squares (OLS) regression.
- To comfortably interpret and analyse regression output from Ordinary Least Squares.
- To learn and understand how Logit and Probit models work.
- To learn tips and tricks around Non-Linear Regression analysis.
- Practical examples in Stata
- Tips for building regression models
- An introduction to Stata
- Data manipulation in Stata
- Data visualisation in Stata
- Data analysis in Stata
⑧ 44 折 ML for Business Managers: Build Regression model in R Studio
Simple Regression & Multiple Regression| must-know for Machine Learning & Econometrics | Linear Regression in R studio
導師: Start-Tech Academy
課程上次更新 4/2021
評分:4.4
學生:
55462 ↑
時長:6小時 22分
售價
590 元
特價
330元
透過這堂課，你將學會👇
- Learn how to solve real life problem using the Linear Regression technique
- Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression
- Predict future outcomes basis past data by implementing Simplest Machine Learning algorithm
- Understand how to interpret the result of Linear Regression model and translate them into actionable insight
- Understanding of basics of statistics and concepts of Machine Learning
- Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem
- Learn advanced variations of OLS method of Linear Regression
- Course contains a end-to-end DIY project to implement your learnings from the lectures
⑨ 88 折 Linear Regression, GLMs and GAMs with R
How to extend linear regression to specify and estimate generalized linear models and additive models.
導師: Geoffrey Hubona, Ph.D.
課程上次更新 9/2020
評分:4.0
學生:
1920 ↑
時長:7小時 54分
售價
2,790 元
特價
330元
透過這堂課，你將學會👇
- Understand the assumptions of ordinary least squares (OLS) linear regression.
- Specify, estimate and interpret linear (regression) models using R.
- Understand how the assumptions of OLS regression are modified (relaxed) in order to specify, estimate and interpret generalized linear models (GLMs).
- Specify, estimate and interpret GLMs using R.
- Understand the mechanics and limitations of specifying, estimating and interpreting generalized additive models (GAMs).
經濟學 迴歸分析線上課程比較表
上面太多線上課程不曉得怎麼選嗎？參考下方表格，可以知道每個線上課程的差異
我會針對經濟學 迴歸分析的課程名稱、課程評價、課程學生、課程時長、課程老師、課程語言、課程更新日期、售價、折扣、特價來進行比較
表格是可以往右邊👉滑動的喲！
希望有幫助到正在猶豫不絕想學習經濟學 迴歸分析的你！
如果表格沒有你喜歡的線上課程可以參考Udemy
可以看到更多種類的線上課程喔！
| 課程圖片 | 課程名稱 | 課程評價 | 課程學生 | 課程時長 | 課程老師 | 課程語言 | 課程更新日期 | 售價 | 折扣 | 特價 | 課程連結 |
|---|---|---|---|---|---|---|---|---|---|---|---|
|
Deep Learning Prerequisites: Linear Regression in Python | 4.6 | 27336 ↑ | 6小時 18分 | Lazy Programmer Inc. | 英语 | 6/2021 |
330 |
|||
|
Deep Learning Foundation : Linear Regression and Statistics | 4.5 | 9163 ↑ | 6小時 31分 | Jay Bhatt | 英语 | 2/2021 |
330 |
|||
|
Complete Linear Regression Analysis in Python | 4.3 | 129703 ↑ | 7小時 29分 | Start-Tech Academy | 英语 | 4/2021 |
330 |
|||
|
Regression Analysis / Data Analytics in Regression | 4.3 | 4268 ↑ | 2小時 9分 | Quantitative Specialists | 英语 | 11/2017 |
330 |
|||
|
Regression Analysis for Statistics & Machine Learning in R | 4.5 | 3987 ↑ | 7小時 26分 | Minerva Singh | 英语 | 11/2020 |
330 |
|||
|
Machine Learning Regression Masterclass in Python | 4.6 | 3847 ↑ | 10小時 21分 | Dr. Ryan Ahmed, Ph.D., MBA, Mitchell Bouchard, Ligency Team | 英语 | 8/2021 |
330 |
|||
|
The STATA OMNIBUS: Regression and Modelling with STATA | 4.3 | 1441 ↑ | 19小時 15分 | F. Buscha | 英语 | 6/2021 |
330 |
|||
|
ML for Business Managers: Build Regression model in R Studio | 4.4 | 55462 ↑ | 6小時 22分 | Start-Tech Academy | 英语 | 4/2021 |
330 |
|||
|
Linear Regression, GLMs and GAMs with R | 4.0 | 1920 ↑ | 7小時 54分 | Geoffrey Hubona, Ph.D. | 英语 | 9/2020 |
330 |
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取得再生活上人們購買商品時，都會想找尋優惠的活動
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當天商品優惠活動是第一天，我會再當天早上9點左右通知
每天商品優惠碼資訊，我會再當天晚上8點左右通知
時間有需要更改可以留言跟我說一聲
PS:如果是過12點馬上通知可能沒辦法唷！因為需要同步商品活動資訊
Q3:發佈的格式會長怎樣？
給於當天優惠活動最後一天廠商的名稱以及優惠活動的數量有多少，最後附上文章連結，文章會再每天凌晨12點半會自動更新，因此不用擔心資訊會錯誤。
如果當天有商品優惠活動開跑也是一樣的格式喔！
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Q5:文章優惠活動內容太多，不知道怎麼找?
可以透過文章最上方的目錄連結快速找尋到你要的商品活動資訊，當然可以直接點擊目錄最後一個比較表進行查看所有的優惠活動。
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如果有遇到這個問題，需要詢問活動訊息的官方網站，因為我是去取得他們活動資訊內容分享給各位
以上如果還有任何問題，可以留言給我喔！
所有的優惠活動都會統一放在這篇進行更新👇👇👇
點擊上方網址需要等待幾秒鐘時間，因為優惠活動比較多，請見諒。
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