Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!
oferecido por
IBMInformações sobre o curso
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Resultados de carreira do aprendiz
42%
comecei uma nova carreira após concluir estes cursos
41%
consegui um benefício significativo de carreira com este curso
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 16 horas para completar
Inglês
Legendas: Árabe, Vietnamita, Coreano, Turco, Inglês
Habilidades que você terá
Predictive ModellingPython ProgrammingData AnalysisData Visualization (DataViz)Model Selection
Resultados de carreira do aprendiz
42%
comecei uma nova carreira após concluir estes cursos
41%
consegui um benefício significativo de carreira com este curso
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 16 horas para completar
Inglês
Legendas: Árabe, Vietnamita, Coreano, Turco, Inglês
oferecido por
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.
Programa - O que você aprenderá com este curso
2 horas para concluir
Importing Datasets
2 horas para concluir
6 vídeos (Total 20 mín.)
6 videos
The Problem1min
Understanding the Data2min
Python Packages for Data Science2min
Importing and Exporting Data in Python4min
Getting Started Analyzing Data in Python4min
Accessing Databases with Python4min
5 exercícios práticos
Understanding the Data4min
Python Packages for Data Science4min
Importing and Exporting Data in Python4min
Getting Started Analyzing Data in Python4min
Importing Datasets16min
2 horas para concluir
Data Wrangling
2 horas para concluir
6 vídeos (Total 19 mín.)
6 videos
Dealing with Missing Values in Python6min
Data Formatting in Python3min
Data Normalization in Python3min
Binning in Python1min
Turning categorical variables into quantitative variables in Python2min
5 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
2 horas para concluir
Exploratory Data Analysis
2 horas para concluir
6 vídeos (Total 19 mín.)
6 videos
Descriptive Statistics4min
GroupBy in Python3min
Correlation2min
Correlation - Statistics2min
Analysis of Variance ANOVA4min
5 exercícios práticos
Descriptive Statistics4min
GroupBy in Python4min
Correlation4min
Correlation - Statistics4min
Exploratory Data Analysis14min
2 horas para concluir
Model Development
2 horas para concluir
6 vídeos (Total 27 mín.)
6 videos
Linear Regression and Multiple Linear Regression6min
Model Evaluation using Visualization4min
Polynomial Regression and Pipelines4min
Measures for In-Sample Evaluation3min
Prediction and Decision Making5min
5 exercícios práticos
Linear Regression and Multiple Linear Regression4min
Model Evaluation using Visualization4min
Polynomial Regression and Pipelines4min
Measures for In-Sample Evaluation4min
Model Development15min
Avaliações
Principais avaliações do ANÁLISE DE DADOS COM PYTHON
por RP19 de Abr de 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.
por SC5 de Mai de 2020
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
por AB12 de Fev de 2020
Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.
por RJ16 de Out de 2018
It will be helpful if a video is added on: 1) how to store multiple results from different models in single dataframe\n\n2) how to automate the process. More example needed on Grid and Pipeline.
Perguntas Frequentes – FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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