課程信息
4.6
1,177 個評分
168 個審閱
專項課程
100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
初級

初級

完成時間(小時)

完成時間大約為7 小時

建議:This course requires approximately two hours a week for six weeks....
可選語言

英語(English)

字幕:英語(English), 阿拉伯語(Arabic)

您將獲得的技能

Predictive ModellingPython ProgrammingData AnalysisData Visualization (DataViz)Model Selection
專項課程
100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
初級

初級

完成時間(小時)

完成時間大約為7 小時

建議:This course requires approximately two hours a week for six weeks....
可選語言

英語(English)

字幕:英語(English), 阿拉伯語(Arabic)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 2 小時

Importing Datasets

...
Reading
5 個視頻 (總計 15 分鐘), 6 個測驗
Video5 個視頻
Understanding the Data2分鐘
Python Packages for Data Science2分鐘
Importing and Exporting Data in Python4分鐘
Getting Started Analyzing Data in Python4分鐘
Quiz5 個練習
Understanding the Data4分鐘
Python Packages for Data Science4分鐘
Importing and Exporting Data in Python4分鐘
Getting Started Analyzing Data in Python4分鐘
Importing Datasets16分鐘
2
完成時間(小時)
完成時間為 2 小時

Data Wrangling

...
Reading
6 個視頻 (總計 19 分鐘), 6 個測驗
Video6 個視頻
Dealing with Missing Values in Python5分鐘
Data Formatting in Python3分鐘
Data Normalization in Python3分鐘
Binning in Python1分鐘
Turning categorical variables into quantitative variables in Python2分鐘
Quiz5 個練習
Dealing with Missing Values in Python6分鐘
Data Formatting in Python4分鐘
Data Normalization in Python4分鐘
Turning categorical variables into quantitative variables in Python4分鐘
Data Wrangling12分鐘
3
完成時間(小時)
完成時間為 2 小時

Exploratory Data Analysis

...
Reading
6 個視頻 (總計 18 分鐘), 6 個測驗
Video6 個視頻
Descriptive Statistics4分鐘
GroupBy in Python3分鐘
Correlation2分鐘
Correlation - Statistics2分鐘
Analysis of Variance ANOVA3分鐘
Quiz5 個練習
Descriptive Statistics4分鐘
GroupBy in Python4分鐘
Correlation4分鐘
Correlation - Statistics4分鐘
Exploratory Data Analysis14分鐘
4
完成時間(小時)
完成時間為 2 小時

Model Development

...
Reading
6 個視頻 (總計 26 分鐘), 6 個測驗
Video6 個視頻
Linear Regression and Multiple Linear Regression6分鐘
Model Evaluation using Visualization4分鐘
Polynomial Regression and Pipelines4分鐘
Measures for In-Sample Evaluation3分鐘
Prediction and Decision Making5分鐘
Quiz5 個練習
Linear Regression and Multiple Linear Regression4分鐘
Model Evaluation using Visualization4分鐘
Polynomial Regression and Pipelines4分鐘
Measures for In-Sample Evaluation4分鐘
Model Development15分鐘
4.6
168 個審閱Chevron Right
職業方向

55%

完成這些課程後已開始新的職業生涯
工作福利

54%

通過此課程獲得實實在在的工作福利

熱門審閱

創建者 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

創建者 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.

講師

Avatar

Joseph Santarcangelo

Ph.D., Data Scientist at IBM
IBM Developer Skills Network

關於 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....

關於 IBM Data Science Professional Certificate 專項課程

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

常見問題

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 您注册课程后,将有权访问证书中的所有课程,并且会在完成作业后获得证书。您的电子证书将添加到您的成就页中,您可以通过该页打印证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

還有其他問題嗎?請訪問 學生幫助中心