课程信息
4.6
1,185 个评分
169 个审阅
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为7 小时

建议:This course requires approximately two hours a week for six weeks....
可选语言

英语(English)

字幕:英语(English), 阿拉伯语(Arabic)

您将获得的技能

Predictive ModellingPython ProgrammingData AnalysisData Visualization (DataViz)Model Selection
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为7 小时

建议:This course requires approximately two hours a week for six weeks....
可选语言

英语(English)

字幕:英语(English), 阿拉伯语(Arabic)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 2 小时

Importing Datasets

...
Reading
5 个视频 (总计 15 分钟), 6 个测验
Video5 个视频
Understanding the Data2分钟
Python Packages for Data Science2分钟
Importing and Exporting Data in Python4分钟
Getting Started Analyzing Data in Python4分钟
Quiz5 个练习
Understanding the Data4分钟
Python Packages for Data Science4分钟
Importing and Exporting Data in Python4分钟
Getting Started Analyzing Data in Python4分钟
Importing Datasets16分钟
2
完成时间(小时)
完成时间为 2 小时

Data Wrangling

...
Reading
6 个视频 (总计 19 分钟), 6 个测验
Video6 个视频
Dealing with Missing Values in Python5分钟
Data Formatting in Python3分钟
Data Normalization in Python3分钟
Binning in Python1分钟
Turning categorical variables into quantitative variables in Python2分钟
Quiz5 个练习
Dealing with Missing Values in Python6分钟
Data Formatting in Python4分钟
Data Normalization in Python4分钟
Turning categorical variables into quantitative variables in Python4分钟
Data Wrangling12分钟
3
完成时间(小时)
完成时间为 2 小时

Exploratory Data Analysis

...
Reading
6 个视频 (总计 18 分钟), 6 个测验
Video6 个视频
Descriptive Statistics4分钟
GroupBy in Python3分钟
Correlation2分钟
Correlation - Statistics2分钟
Analysis of Variance ANOVA3分钟
Quiz5 个练习
Descriptive Statistics4分钟
GroupBy in Python4分钟
Correlation4分钟
Correlation - Statistics4分钟
Exploratory Data Analysis14分钟
4
完成时间(小时)
完成时间为 2 小时

Model Development

...
Reading
6 个视频 (总计 26 分钟), 6 个测验
Video6 个视频
Linear Regression and Multiple Linear Regression6分钟
Model Evaluation using Visualization4分钟
Polynomial Regression and Pipelines4分钟
Measures for In-Sample Evaluation3分钟
Prediction and Decision Making5分钟
Quiz5 个练习
Linear Regression and Multiple Linear Regression4分钟
Model Evaluation using Visualization4分钟
Polynomial Regression and Pipelines4分钟
Measures for In-Sample Evaluation4分钟
Model Development15分钟
4.6
169 个审阅Chevron Right
职业方向

55%

完成这些课程后已开始新的职业生涯
工作福利

54%

通过此课程获得实实在在的工作福利

热门审阅

创建者 OAJul 13th 2018

I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course

创建者 UDAug 6th 2018

I like this one very much. Yes, the course was difficult but easy to follow and enjoyable. Thank you for making me think a lot, and thank you for all your hardwork.

讲师

Avatar

Joseph Santarcangelo

Ph.D., Data Scientist at IBM
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 Data Science Professional Certificate 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....
IBM Data Science Professional Certificate

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