課程信息
4.7
314 個評分
45 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。
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中級

中級

Data Analysis with Python

完成時間(小時)

完成時間大約為11 小時

建議:5-6 weeks of study, 3-6 hours per week...
可選語言

英語(English)

字幕:英語(English)
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。
中級

中級

Data Analysis with Python

完成時間(小時)

完成時間大約為11 小時

建議:5-6 weeks of study, 3-6 hours per week...
可選語言

英語(English)

字幕:英語(English)

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 1 小時

Introduction to Machine Learning

In this week, you will learn about applications of Machine Learning in different fields such as health care, banking, telecommunication, and so on. You’ll get a general overview of Machine Learning topics such as supervised vs unsupervised learning, and the usage of each algorithm. Also, you understand the advantage of using Python libraries for implementing Machine Learning models....
Reading
4 個視頻 (總計 24 分鐘), 1 個測驗
Video4 個視頻
Welcome3分鐘
Introduction to Machine Learning8分鐘
Python for Machine Learning6分鐘
Supervised vs Unsupervised5分鐘
Quiz1 個練習
Intro to Machine Learning10分鐘
2
完成時間(小時)
完成時間為 5 小時

Regression

In this week, you will get a brief intro to regression. You learn about Linear, Non-linear, Simple and Multiple regression, and their applications. You apply all these methods on two different datasets, in the lab part. Also, you learn how to evaluate your regression model, and calculate its accuracy....
Reading
6 個視頻 (總計 50 分鐘), 5 個測驗
Video6 個視頻
Simple Linear Regression12分鐘
Model Evaluation in Regression Models8分鐘
Evaluation Metrics in Regression Models3分鐘
Multiple Linear Regression13分鐘
Non-Linear Regression7分鐘
Quiz1 個練習
Regression10分鐘
3
完成時間(小時)
完成時間為 5 小時

Classification

In this week, you will learn about classification technique. You practice with different classification algorithms, such as KNN, Decision Trees, Logistic Regression and SVM. Also, you learn about pros and cons of each method, and different classification accuracy metrics....
Reading
9 個視頻 (總計 81 分鐘), 5 個測驗
Video9 個視頻
K-Nearest Neighbours9分鐘
Evaluation Metrics in Classification7分鐘
Introduction to Decision Trees4分鐘
Building Decision Trees10分鐘
Intro to Logistic Regression7分鐘
Logistic regression vs Linear regression15分鐘
Logistic Regression Training13分鐘
Support Vector Machine8分鐘
Quiz1 個練習
Classification10分鐘
4
完成時間(小時)
完成時間為 4 小時

Clustering

In this section, you will learn about different clustering approaches. You learn how to use clustering for customer segmentation, grouping same vehicles, and also clustering of weather stations. You understand 3 main types of clustering, including Partitioned-based Clustering, Hierarchical Clustering, and Density-based Clustering....
Reading
6 個視頻 (總計 41 分鐘), 1 個閱讀材料, 4 個測驗
Video6 個視頻
Intro to k-Means9分鐘
More on k-Means3分鐘
Intro to Hierarchical Clustering6分鐘
More on Hierarchical Clustering5分鐘
DBSCAN6分鐘
Reading1 個閱讀材料
IBM Digital Badge2分鐘
Quiz1 個練習
Clustering10分鐘
4.7
45 個審閱Chevron Right

熱門審閱

創建者 JJDec 6th 2018

I am happy to have this online education, I drop out my nuclear engineering degree, I am happy to learn practical things with future... I work for IBM also...but I want to become a data scientis

創建者 MDNov 19th 2018

Really high quality videos and labs.\n\nThis is the best Coursera course I have taken so far, and I have taken many.\n\nGreat job Saeed!

講師

Avatar

SAEED AGHABOZORGI

Ph.D., Sr. Data Scientist
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

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