À propos de ce cours
4.7
323 notes
46 avis
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire

Niveau intermédiaire

Data Analysis with Python

Heures pour terminer

Approx. 11 heures pour terminer

Recommandé : 5-6 weeks of study, 3-6 hours per week...
Langues disponibles

Anglais

Sous-titres : Anglais
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire

Niveau intermédiaire

Data Analysis with Python

Heures pour terminer

Approx. 11 heures pour terminer

Recommandé : 5-6 weeks of study, 3-6 hours per week...
Langues disponibles

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
Heures pour terminer
1 heures pour terminer

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 vidéos (Total 24 min), 1 quiz
Video4 vidéos
Welcome3 min
Introduction to Machine Learning8 min
Python for Machine Learning6 min
Supervised vs Unsupervised5 min
Quiz1 exercices pour s'entraîner
Intro to Machine Learning10 min
Semaine
2
Heures pour terminer
5 heures pour terminer

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 vidéos (Total 50 min), 5 quiz
Video6 vidéos
Simple Linear Regression12 min
Model Evaluation in Regression Models8 min
Evaluation Metrics in Regression Models3 min
Multiple Linear Regression13 min
Non-Linear Regression7 min
Quiz1 exercices pour s'entraîner
Regression10 min
Semaine
3
Heures pour terminer
5 heures pour terminer

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 vidéos (Total 81 min), 5 quiz
Video9 vidéos
K-Nearest Neighbours9 min
Evaluation Metrics in Classification7 min
Introduction to Decision Trees4 min
Building Decision Trees10 min
Intro to Logistic Regression7 min
Logistic regression vs Linear regression15 min
Logistic Regression Training13 min
Support Vector Machine8 min
Quiz1 exercices pour s'entraîner
Classification10 min
Semaine
4
Heures pour terminer
4 heures pour terminer

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 vidéos (Total 41 min), 1 lecture, 4 quiz
Video6 vidéos
Intro to k-Means9 min
More on k-Means3 min
Intro to Hierarchical Clustering6 min
More on Hierarchical Clustering5 min
DBSCAN6 min
Reading1 lectures
IBM Digital Badge2 min
Quiz1 exercices pour s'entraîner
Clustering10 min
4.7
46 avisChevron Right

Meilleurs avis

par 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

par 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!

Enseignants

Avatar

SAEED AGHABOZORGI

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

À propos de 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....

À propos de la Spécialisation IBM Data Science Professional Certificate

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

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours du Certificat, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.