目录 (Table of Contents)

1. Introduction介绍
2. Udemy乌迪米
3. Machine Learning A-Z™: Hands-On Python & R In Data Science机器学习AZ™：数据科学中的动手Python和R
4. Python for Data Science and Machine Learning Bootcamp适用于数据科学和机器学习训练营的Python
5. The Data Science Course 2020: Complete Data Science Bootcamp2020年数据科学课程：完整的数据科学训练营
6. R Programming A-Z™: R For Data Science With Real Exercises!R编程AZ™：R用于具有实际练习的数据科学！
7. Data Science A-Z™: Real-Life Data Science Exercises Included数据科学AZ™：包括现实生活中的数据科学练习
8. Summary摘要

介绍 (Introduction)

For this article, I will focus on the top Data Science courses on Udemy, decided by Udemy [2]. In the past, I have looked into Kaggle, another prominent platform that shared knowledge on all things Data Science. I wanted to branch out and include courses on a platform where nearly 4 million students are learning Data Science. The top courses are also known as the most popular on Udemy; there are also the highest-rated and newest. I wanted to first talk about other platforms that were free, so I do have an article on those topics, which I will include at the end of this article. For now, these Udemy courses all cost around $100. I will outline the main features of each of the top five data science courses on Udemy below.

对于本文，我将重点介绍由Udemy [2]决定的有关Udemy的顶级数据科学课程。 过去，我研究过Kaggle，它是另一个著名的平台，可共享有关数据科学的所有知识。 我想扩展到一个平台上，并在将近400万学生学习数据科学的平台上开设课程。 热门课程也被称为Udemy上最受欢迎的课程； 也有收视率最高和最新的 。 我想先谈谈其他免费的平台，所以我确实有一篇关于这些主题的文章，我将在本文结尾处发表。 目前，这些Udemy课程的总费用约为100美元。 我将在下面概述有关Udemy的前五项数据科学课程的主要功能。

Included in each course section in this article will be what is included, some useful facts about the course, and what is unique about the course — what separates them from the other respective courses on Udemy.

本文的每个课程部分将包括其中的内容，有关该课程的一些有用事实以及该课程的独特之处-将它们与有关Udemy的其他各个课程区分开来。

乌迪米 (Udemy)

As mentioned earlier, nearly 4 million students are on Udemy for just Data Science alone, so you can validate that these course information, reviews, and benefits are up to a high standard. I wanted to attest that the knowledge in these courses is something worthy of your investment, as I am a Senior Data Scientist who has primarily learned online from courses like these.

如前所述，仅数据科学领域的Udemy学生就有近400万，因此您可以验证这些课程信息，评论和收益是否达到了高标准。 我想证明这些课程中的知识值得您投资，因为我是一位高级数据科学家，主要从此类课程中在线学习。

I would like to include more courses from other platforms, but for this article, the focus will be on Udemy. Feel free to comment down below any platforms or websites you would like to see me write about.

我想包括其他平台的更多课程，但对于本文，重点将放在Udemy上。 请随意在您希望看到我写信的任何平台或网站下方进行评论。

机器学习AZ™：数据科学中的动手Python和R (Machine Learning A-Z™: Hands-On Python & R In Data Science)

Our top course includes all things Machine Learning with not only Python programming language practice, but R as well. There are 10 main parts included in this course, all including very valuable key concepts of Data Science. At this moment, the course has a 4.5-star rating out of 5 stars with nearly 130,000 ratings, costing $104.99 [3].

我们的顶级课程包括机器学习所有内容，不仅包括Python编程语言实践，还包括R。 本课程包括10个主要部分，全部包括非常有价值的数据科学关键概念。 目前，该课程在5颗星中获得4.5颗星的评分，其中近130,000颗星的评分为$ 104.99 [3]。

包含什么？ (What is included?)

You can expect to learn a myriad of skills and concepts like:

您可以期望学习各种技能和概念，例如：

• Python and RPython和R
• Accurate predictions准确的预测
• Robust Machine Learning models强大的机器学习模型
• Dimensionality Reduction降维
• Intuition直觉
• Powerful analysis强大的分析
• Added value for your business为您的业务增值
• Reinforcement learning, NLP, and Deep Learning强化学习，NLP和深度学习
• Knowing which Machine Learning model is for each problem知道哪种机器学习模型适合每个问题

Some other important stats to know are that there are:

需要了解的其他一些重要统计数据包括：

45 sections323 lectures44h 30m total length

To set these popular courses apart, I will also be outlining unique features about the courses, as most of them are all-inclusive in Data Science.

为了使这些热门课程与众不同，我还将概述这些课程的独特功能，因为其中大多数都包含在数据科学中。

有什么独特之处？ (What is unique?)

• Apriori associate rule learning — in both Python and RApriori关联规则学习-在Python和R中
• Eclat associate rule learning — in both Python and Reclat关联规则学习-在Python和R中

It is recommended that you have some basic mathematics knowledge at the high school level. Most people who use this course are interested in Machine Learning, who are not as comfortable with coding, and want to start a career in Data Science. You can, of course, also utilize this course to brush up and improve upon your current kills, as well as making your resume more competitive.

建议您在高中阶段具备一些基本的数学知识。 使用本课程的大多数人都对机器学习感兴趣，他们对编码不太满意，并希望开始从事数据科学职业。 当然，您也可以利用此课程来完善和改进当前的技能，以及使简历更具竞争力。

适用于数据科学和机器学习训练营的Python (Python for Data Science and Machine Learning Bootcamp)

This course focuses on Python for both Data Science and Machine Learning; including NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, TensorFlow, and more. This $109.99 course’s rating is slightly higher at 4.6 stars, but with fewer ratings around 83,000 [4].

本课程的重点是用于数据科学和机器学习的Python； 包括NumPy，Pandas，Seaborn，Matplotlib，Plotly，Scikit-Learn，机器学习，TensorFlow等。 这门$ 109.99的课程评分稍高一点，为4.6星，但评分较少，大约为83,000 [4]。

包含什么？ (What is included?)

There are quite a few things this course highlights that you will learn, including, but not limited to:

本课程将重点介绍许多要学习的内容，包括但不限于：

• Pandas for Data Science熊猫数据科学
• Seaborn for statistical plotsSeaborn统计图
• SciKit-Learn for Machine LearningSciKit-学习机器学习
• Logistic Regression逻辑回归
• Random Forest and Decision Trees随机森林和决策树
• Neural Networks神经网络
• Matplotlib and Plotly for plotting and dynamic visualizationsMatplotlib和Plotly用于绘图和动态可视化

Some other important stats to know are that there are:

需要了解的其他一些重要统计数据包括：

27 parts165 lectures24h 54m total length

To set this course apart from the others, I will include some unique sections this course offers.

为了使本课程与众不同，我将提供本课程提供的一些独特部分。

有什么独特之处？ (What is unique?)

• Spark for Big Data Analysis — this skill is extremely useful and lucrative

  大数据分析的火花- 此技能非常有用且有利可图

• Natural Langauge Processing and Spam Filters天然语言处理和垃圾邮件过滤器

I really like that these unique factors are included in this course as I have seen most data scientists fail to have Spark experience, and somewhat have Natural Language Processing (NLP), but usually without useful, practical implication knowledge.

我真的很喜欢将这些独特的因素包括在本课程中，因为我已经看到大多数数据科学家都没有Spark经验，并且有些人具有自然语言处理(NLP)，但通常没有有用的，实际的暗示知识。

2020年数据科学课程：完整的数据科学训练营 (The Data Science Course 2020: Complete Data Science Bootcamp)

This course especially prides itself in the year 2020, so you can rest assured it is up-to-date. This course focuses on mathematics, statistics, Python, advanced statistics in Python, and Machine and Deep Learning. With a rating of 4.5 stars and around 72,000 ratings, this $114.99 course is the third most popular course on Udemy for Data Science [5].

该课程在2020年尤其引以为傲，因此您可以放心，它是最新的。 本课程侧重于数学，统计学，Python，Python中的高级统计学以及机器和深度学习。 这项价格为$ 114.99的课程获得了4.5星的好评，并且获得了72,000个评分，它是Udemy for Data Science上第三受欢迎的课程[5]。

包含什么？ (What is included?)

There are even more concepts in this course that are highlighted than the previous course. You will learn, including, but not limited to:

与上一课程相比，本课程中强调的概念更多。 您将学习，包括但不限于：

• Underfitting, overfitting, training, validation, and n-fold cross-validation拟合不足，拟合过度，训练，验证和n折交叉验证
• Testing, hyperparameters测试，超参数
• Pre-process data预处理数据
• Cluster and factor analysis聚类和因子分析
• Deep neural networks深度神经网络

Some other important stats to know are that there are:

需要了解的其他一些重要统计数据包括：

62 sections471 lectures28h 52m total length

To set this course apart from the others, I will include some unique sections this course offers.

为了使本课程与众不同，我将提供本课程提供的一些独特部分。

有什么独特之处？ (What is unique?)

• Tableau画面
• Google’s TensorFlowDevelop谷歌的TensorFlowDevelop

Tableau is something you may not learn in other courses or at a university, so this course will offer some additional benefits with this unique skill. The TensorFlowDevelop by Google is also unique and offers a way to code and solve important business problems with big data.

Tableau是您在其他课程或大学中可能不会学到的东西，因此，使用此独特技能，本课程将提供一些其他好处。 Google的TensorFlowDevelop也是独特的，它提供了一种编码和解决大数据重要业务问题的方法。

R编程AZ™：R结合实际练习，用于数据科学！ (R Programming A-Z™: R For Data Science With Real Exercises!)

Whereas most of the previous courses focused on Python, this course focuses on R. You can expect to learn R Studio, Data Analytics, Data Science, functions, and ggplot2. With a rating of 4.6 stars from about 34,000 students, this course is cheaper at $94.99 [6].

之前的大多数课程都针对Python，而本课程则针对R。您可以期望学习R Studio，数据分析，数据科学，函数和ggplot2。 大约34,000名学生获得4.6星的评价，这门课程的价格较为便宜，为$ 94.99 [6]。

包含什么？ (What is included?)

There are several concepts in R that you will learn in this course, including, but not limited to:

您将在本课程中学习R中的几个概念，包括但不限于：

• Core principles of R programmingR编程的核心原理
• Creating variables创建变量
• while() and for() loop in RR中的while()和for()循环
• matrix(), rbind(), and cbind() functionsmatrix()，rbind()和cbind()函数
• Understanding the Normal distribution了解正态分布
• Creating vectors in R在R中创建向量
• Practice with statistical data in R在R中使用统计数据进行练习

Some other important facts to know is that there are:

要知道的其他一些重要事实是：

8 sections82 lectures10h 39m total length

有什么独特之处？ (What is unique?)

• Working with financial data处理财务数据
• Law of Large Numbers大数定律

Apart from this course being completely over R programming, this course offers unique concepts that are very beneficial as well. As a Data Scientist who has worked with tons of financial data, I can attest to how useful and practical it is to study with financial data in not only Python, but R as well. This course also seems to focus more on statistics with the inclusion of the Law of Large Numbers, which is something I did not find as prominent in the other courses.

除了完全通过R编程来学习本课程之外，本课程还提供了非常有益的独特概念。 作为处理大量财务数据的数据科学家，我可以证明，不仅使用Python而且使用R对财务数据进行研究是多么有用和实用。 本课程似乎也将重点放在统计学上，包括《大数定律》，这是我在其他课程中没有发现的。

数据科学AZ™：包括现实生活中的数据科学练习 (Data Science A-Z™: Real-Life Data Science Exercises Included)

Last but not least, this course focuses on everything Data Science with the importance of exercises. You can expect to learn real Analytics examples, Data Mining, Model, and Tableau visualizations. Also cheaper, this course is $94.99, with a 4.6 rating from around 27,000 raters [7].

最后但并非最不重要的一点是，本课程侧重于所有具有练习重要性的数据科学。 您可以期望学习真正的Analytics示例，数据挖掘，模型和Tableau可视化。 同样便宜的是，这门课程的价格为94.99美元，来自27,000个评估者提供4.6评分[7]。

包含什么？ (What is included?)

Out of all of the courses, this course lists the most concepts. You will learn, including, but not limited to:

在所有课程中，本课程列出了最多的概念。 您将学习，包括但不限于：

• Data Mining in TableauTableau中的数据挖掘
• Ordinary Least Squares for creating Linear Regressions用于创建线性回归的普通最小二乘法
• Reading a confusion matrix读取混乱矩阵
• Training and test data for robust model building训练和测试数据以建立可靠的模型
• Cleaning data and anomaly detection清洁数据和异常检测
• Chi-Sqaured staatsical test卡方统计检验

Some other important facts to know is that there are:

要知道的其他一些重要事实是：

28 sections217 lectures21h 18m total length

This course, perhaps, offers the most unique concepts and skills that you can learn in Data Science. It not only references statistics in-depth , but SQL as well.

本课程也许提供您可以在数据科学中学习的最独特的概念和技能。 它不仅引用了深入的统计信息，而且还引用了SQL。

有什么独特之处？ (What is unique?)

• Understanding the Odds Ratio了解赔率
• Create Scripts in SQL在SQL中创建脚本
• Robust Geodemographic Segmentation Model鲁棒的地理人口分割模型
• Building a CAP curve in Excel在Excel中建立CAP曲线

摘要 (Summary)

To be quite frank, although these courses are on the pricey side, or simply not free, they are still, by far, a great deal. You will have hours upon hours, hundreds of lectures, and a plethora of common and unique data science sections. You have now learned some of the overviews of the top five Data Science courses on Udemy. Here they are again, listed out for easy viewing:

坦率地说，尽管这些课程价格昂贵，或者根本不是免费的，但到目前为止，它们仍然是很多。 您将要花费数小时的时间，数百次讲座，以及大量常见和独特的数据科学部分。 您现在已经了解了有关Udemy的前五门数据科学课程的一些概述。 在此再次列出，以方便查看：

Machine Learning A-Z™: Hands-On Python & R In Data SciencePython for Data Science and Machine Learning BootcampThe Data Science Course 2020: Complete Data Science BootcampR Programming A-Z™: R For Data Science With Real Exercises!Data Science A-Z™: Real-Life Data Science Exercises Included

Thank you for reading my article. I hope you found it both interesting and useful. Please feel free to comment down below and suggest some other common or unique courses you can take on Udemy.

感谢您阅读我的文章。 我希望您发现它既有趣又有用。 请在下面随意评论，并建议您可以选择参加Udemy的其他一些常见或独特的课程。

Here are the links to my other articles regarding Data Science courses on both Kaggle [8]:

这是我在Kaggle [8]上有关数据科学课程的其他文章的链接：

I am not affiliated with Udemy. I am reporting the most popular Data Science courses on their website, as well as my commentary and view of them and what makes them unique.

我不隶属于Udemy。 我在他们的网站上报告了最受欢迎的数据科学课程，以及我对它们的评论和看法以及使它们与众不同的原因。