4.6
2,239 个评分
223 个审阅

1

## From Problem to Approach and From Requirements to Collection

In this module, you will learn about why we are interested in data science, what a methodology is, and why data scientists need a methodology. You will also learn about the data science methodology and its flowchart.You will learn about the first two stages of the data science methodology, namely Data Requirements and Data Understanding. Finally, through a lab session, you will learn how to complete the Business Understanding and the Analytic Approach stages as well Data Requirements and Data Collection stages pertaining to any data science problem. ...
5 个视频 （总计 19 分钟）, 1 个阅读材料, 4 个测验
5 个视频
Welcome3分钟
Analytic Approach3分钟
Data Requirements3分钟
Data Collection2分钟
1 个阅读材料
Syllabus10分钟
2 个练习
From Problem to Approach10分钟
From Requirements to Collection10分钟
2

## From Understanding to Preparation and From Modeling to Evaluation

In this module, you will learn what it means to understand data, and prepare or clean data. You will also lean about the purpose of data modeling and some characteristics of the modeling process. Finally, through a lab session, you will learn how to complete the Data Understanding and the Data Preparation stages as well as the Modeling and the Model Evaluation stages pertaining to any data science problem....
6 个视频 （总计 21 分钟）, 1 个阅读材料, 4 个测验
6 个视频
Data Preparation - Concepts3分钟
Data Preparation - Case Study4分钟
Modeling - Concepts2分钟
Modeling - Case Study3分钟
Evaluation3分钟
1 个阅读材料
Correction10分钟
2 个练习
From Understanding to Preparation10分钟
From Modeling to Evaluation10分钟
3

## From Deployment to Feedback

In this module, you will learn about what happens when a model is deployed and why model feedback is important. Also, by completing a peer-reviewed assignment, you will demonstrate your understanding of the data science methodology by apply it to a problem that you define....
3 个视频 （总计 10 分钟）, 1 个阅读材料, 2 个测验
3 个视频
Deployment3分钟
Feedback3分钟
Course Summary3分钟
1 个阅读材料
1 个练习
From Deployment to Feedback20分钟
4.6
223 个审阅

## 14%

### 热门审阅

This is my favourite in the series, the 10 questions to be answered were mind opening. The repetition after every video makes easier for important points to stick to the brain. Very good indeed...

The example should be easier than CHF in the videos like the example of cuisines was. The CHF example was good but it was not self explanatory and it might be hard for some people.

## 讲师

### Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network

### Polong Lin

Data Scientist
IBM Developer Skills Network

## 关于 IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than \$6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

## 关于 IBM 数据科学专业证书 专项课程

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics. Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science. LIMITED TIME OFFER: Subscription is only \$39 USD per month for access to graded materials and a certificate....

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