Informações sobre o curso
4.6
787 classificações
115 avaliações
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível iniciante

Nível iniciante

Horas para completar

Aprox. 7 horas para completar

Sugerido: This course requires approximately two hours a week for six weeks....
Idiomas disponíveis

Inglês

Legendas: Inglês, Árabe

Habilidades que você terá

Predictive ModellingPython ProgrammingData AnalysisData Visualization (DataViz)Model Selection
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível iniciante

Nível iniciante

Horas para completar

Aprox. 7 horas para completar

Sugerido: This course requires approximately two hours a week for six weeks....
Idiomas disponíveis

Inglês

Legendas: Inglês, Árabe

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
2 horas para concluir

Importing Datasets

...
Reading
5 vídeos (total de (Total 15 mín.) min), 6 testes
Video5 videos
Understanding the Data2min
Python Packages for Data Science2min
Importing and Exporting Data in Python4min
Getting Started Analyzing Data in Python4min
Quiz5 exercícios práticos
Understanding the Data4min
Python Packages for Data Science4min
Importing and Exporting Data in Python4min
Getting Started Analyzing Data in Python4min
Importing Datasets16min
Semana
2
Horas para completar
2 horas para concluir

Data Wrangling

...
Reading
6 vídeos (total de (Total 19 mín.) min), 6 testes
Video6 videos
Dealing with Missing Values in Python5min
Data Formatting in Python3min
Data Normalization in Python3min
Binning in Python1min
Turning categorical variables into quantitative variables in Python2min
Quiz5 exercícios práticos
Dealing with Missing Values in Python6min
Data Formatting in Python4min
Data Normalization in Python4min
Turning categorical variables into quantitative variables in Python4min
Data Wrangling12min
Semana
3
Horas para completar
2 horas para concluir

Exploratory Data Analysis

...
Reading
6 vídeos (total de (Total 18 mín.) min), 6 testes
Video6 videos
Descriptive Statistics4min
GroupBy in Python3min
Analysis of Variance ANOVA3min
Correlation2min
Correlation - Statistics2min
Quiz5 exercícios práticos
Descriptive Statistics4min
GroupBy in Python4min
Correlation4min
Correlation - Statistics4min
Exploratory Data Analysis14min
Semana
4
Horas para completar
2 horas para concluir

Model Development

...
Reading
6 vídeos (total de (Total 26 mín.) min), 6 testes
Video6 videos
Linear Regression and Multiple Linear Regression6min
Model Evaluation using Visualization4min
Polynomial Regression and Pipelines4min
Measures for In-Sample Evaluation3min
Prediction and Decision Making5min
Quiz5 exercícios práticos
Linear Regression and Multiple Linear Regression4min
Model Evaluation using Visualization4min
Polynomial Regression and Pipelines4min
Measures for In-Sample Evaluation4min
Model Development15min
4.6
115 avaliaçõesChevron Right

Melhores avaliações

por 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

por 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.

Instrutores

Avatar

Joseph Santarcangelo

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

Sobre 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....

Sobre o Programa de cursos integrados 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

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve em um curso, ganha acesso a todos os cursos no certificado e obtém um certificado quando completar o trabalho. Seu certificado eletrônico pode ser adicionado à sua página de Participações, de onde você pode imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, pode participar como ouvinte sem custo.

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