课程信息
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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

根据您的日程表重置截止日期。

初级

完成时间大约为11 小时

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

英语(English)

字幕:英语(English), 韩语, 土耳其语(Turkish), 阿拉伯语(Arabic)
User
学习Professional Certificate的学生是
  • Data Analysts
  • Data Scientists
  • Risk Managers
  • Business Analysts
  • Biostatisticians

您将获得的技能

Predictive ModellingPython ProgrammingData AnalysisData Visualization (DataViz)Model Selection
User
学习Professional Certificate的学生是
  • Data Analysts
  • Data Scientists
  • Risk Managers
  • Business Analysts
  • Biostatisticians

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

根据您的日程表重置截止日期。

初级

完成时间大约为11 小时

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

英语(English)

字幕:英语(English), 韩语, 土耳其语(Turkish), 阿拉伯语(Arabic)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 2 小时

Importing Datasets

5 个视频 (总计 15 分钟), 6 个测验
5 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
5 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
完成时间为 2 小时

Data Wrangling

6 个视频 (总计 19 分钟), 6 个测验
6 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
5 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
完成时间为 2 小时

Exploratory Data Analysis

6 个视频 (总计 18 分钟), 6 个测验
6 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
5 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
完成时间为 2 小时

Model Development

6 个视频 (总计 26 分钟), 6 个测验
6 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
5 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
759 个审阅Chevron Right

42%

完成这些课程后已开始新的职业生涯

41%

通过此课程获得实实在在的工作福利

来自使用 Python 进行数据分析的热门评论

创建者 RPApr 20th 2019

perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.

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

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....

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