# Mathematics for Data Science 專項課程

Build a Foundation for your Data Science Skills. Master a wide range of math underlying Data Science and learn how to apply it in practice

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### 您將獲得的技能

## 關於此 專項課程

## 應用的學習項目

Each course of the specialisation ends with a project that gives an opportunity to see how the material of the course is used in Data Science. Each project is directed at solving practical problem in Data Science. In particular, in your projects you will analyse social graphs, predict estate prices and uncover hidden relations in the data.

#### 可分享的證書

#### 100% 在線課程

#### 靈活的計劃

#### 初級

無需相關領域的預備知識無需相關經驗。

#### 完成時間大約為3 個月

#### 英語（English）

### 專項課程的運作方式

### 加入課程

Coursera 專項課程是幫助您掌握一門技能的一系列課程。若要開始學習，請直接註冊專項課程，或預覽專項課程並選擇您要首先開始學習的課程。當您訂閱專項課程的部分課程時，您將自動訂閱整個專項課程。您可以只完成一門課程，您可以隨時暫停學習或結束訂閱。訪問您的學生面板，跟踪您的課程註冊情況和進度。

### 實踐項目

每個專項課程都包括實踐項目。您需要成功完成這個（些）項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程，則需要在開始之前完成其他所有課程。

### 獲得證書

在結束每門課程並完成實踐項目之後，您會獲得一個證書，您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

### 此專項課程包含 4 門課程

### Discrete Math and Analyzing Social Graphs

The main goal of this course is to introduce topics in Discrete Mathematics relevant to Data Analysis.

### Calculus and Optimization for Machine Learning

Hi! Our course aims to provide necessary background in Calculus sufficient for up-following Data Science courses.

### First Steps in Linear Algebra for Machine Learning

The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and machine learning. Another goal is to improve the student’s practical skills of using linear algebra methods in machine learning and data analysis. You will learn the fundamentals of working with data in vector and matrix form, acquire skills for solving systems of linear algebraic equations and finding the basic matrix decompositions and general understanding of their applicability.

### Probability Theory, Statistics and Exploratory Data Analysis

Exploration of Data Science requires certain background in probability and statistics. This course introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science.

### 關於 国立高等经济大学

### 審閱

#### 4.3

##### 來自MATHEMATICS FOR DATA SCIENCE的熱門評論

this is a great course i love it and i learned many things like counting , basic of probability graphs\n\nthe first four weeks are amazing the last two weeks was hard to me but possible to solve

The course is very understandable and assignments are very interesting and applicable. I love the way Russians teach mathematics, therefore I will continue watching courses from this University.

This course is very helpful to gain analyzing skills and mindset with discrete math. Some math concepts I struggled was easy to absorb during the course.

Great Course. Concise and Easy to Follow. Final Assignment should have been more comprehensive.

The material was very well presented, and the exercises were helpful for learning

A nice introduction for beginners and those who need a warm up.

Lessons are well-paced and instructors explain well

## 常見問題

退款政策是如何规定的？

我可以只注册一门课程吗？

可以！点击您感兴趣的课程卡开始注册即可。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分，系统会自动为您订阅完整的专项课程。访问您的学生面板，跟踪您的进度。

有助学金吗？

我可以免费学习课程吗？

此课程是 100% 在线学习吗？是否需要现场参加课程？

此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

完成专项课程需要多长时间？

Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 6-8 months.

What background knowledge is necessary?

As prerequisites we assume precollege level math, basic programming in python (functions, loops, recursion) and common sense. Our intended audience are all people that work or plan to work in Data Science.

Do I need to take the courses in a specific order?

We recommend taking the courses in the order presented, as each subsequent course uses some knowledge from previous courses.

完成专项课程后我会获得大学学分吗？

What will I be able to do upon completing the Specialization?

You will be able to understand mathematics behind Data Science. This will boost your skills in Data Analysis.

還有其他問題嗎？請訪問 學生幫助中心。