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Visualização de dados com o Python
Alex Aklson
Alex Aklson
"Uma imagem vale mais que mil palavras". Todos conhecemos essa expressão. Ela é válida principalmente quando se tenta explicar algum insight obtido através de análises de conjuntos de dados cada vez maiores. A visualização de dados tem um papel essencial na...
Read more
"Uma imagem vale mais que mil palavras". Todos conhecemos essa expressão. Ela é válida principalmente quando se tenta explicar algum insight obtido através de análises de conjuntos de dados cada vez maiores. A visualização de dados tem um papel essencial na...
Read more
"Uma imagem vale mais que mil palavras". Todos conhecemos essa expressão. Ela é válida principalmente quando se tenta explicar algum insight obtido através de análises de conjuntos de dados cada vez maiores. A visualização de dados tem um papel essencial na representação de dados pequenos e de larga escala.
Uma das principais habilidades de um cientista de dados é conseguir contar uma história envolvente, exibindo dados e resultados de uma maneira acessível e estimulante. Aprender como alavancar uma ferramenta de software para visualizar dados também permite que você extraia informações, entenda melhor os dados e tome decisões mais eficazes.
O principal objetivo deste curso de Visualização de Dados com o Python é ensinar a você como pegar dados que à primeira vista têm pouco significado e apresentá-los de um jeito que faça sentido para as pessoas. Várias técnicas foram desenvolvidas para a apresentação de dados visualmente, mas neste curso usaremos algumas bibliotecas de visualização de dados no Python, como a Matplotlib, a Seaborn e a Folium.
OFERTA POR TEMPO LIMITADO: a inscrição custa apenas US$ 39 por mês para ter acesso a materiais avaliados e a um certificado.
Register for this course and see more details by visiting:
OpenCourser.com/course/v91940/visualizacao
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches data visualization techniques that are in high demand in industry
Emphasizes clear and engaging data presentation for effective communication
Specifically targets data scientists who need to communicate their findings
Uses popular and widely-used data visualization libraries in Python, making it industry-relevant
Provides a hands-on approach through interactive labs and materials
Requires prior knowledge in Python, which may be a barrier for beginners
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Career center
Learners who complete Visualização de dados com o Python will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use their knowledge to work with experts in various fields to analyze data and extract insights that can inform business decisions. This course will help build a foundation for a career in Data Analysis by providing an understanding of how to visual data to extract insights and meaning.
Data Scientist
Data Scientist
Encompassing a range of responsibilities from data modeling to analysis and visualization, Data Scientists work in many industries to uncover patterns and insights hidden within data. This course in data visualization can help build the necessary visualization skills to inform decisions and communicate insights effectively.
Business Analyst
Business Analyst
Business Analysts study an organization's business processes and identify opportunities for improvement. Their work can involve using data visualization to present their findings to stakeholders and make recommendations for action. Taking this course can help lay a foundation for this career by teaching foundational skills in data visualization.
Data Architect
Data Architect
Data Architects are responsible for understanding an organization's data and establishing structures to manage and use it. An understanding of data visualization can be essential for communicating with a variety of stakeholders. This course can help build this knowledge and provide hands-on experience in visualizing data.
Financial Analyst
Financial Analyst
Financial Analysts use a range of statistical and financial data and visualization tools to examine data and make recommendations on financial decisions. This course in data visualization can help aspiring Financial Analysts to gain skills in extracting insights from data through visualization techniques.
Market Researcher
Market Researcher
Market Researchers use data visualization techniques to present research findings to clients. The data visualization skills gained in this course can help build a foundation for aspiring Market Researchers by teaching them how to translate complex data into clear and insightful visualizations.
Marketing Analyst
Marketing Analyst
By using data visualization tools to present insights, Marketing Analysts can demonstrate how marketing efforts influence customer behavior. This course may be helpful for those looking to enter this field by offering hands-on experience in data visualization.
Information Architect
Information Architect
Information Architects design and organize the structure of websites and digital experiences. Gaining proficiency in data visualization can provide a competitive advantage for Information Architects by allowing them to present complex information in a user-friendly manner. This course teaches the fundamentals of data visualization and may help aspiring Information Architects build a strong foundation in this area.
User Experience (UX) Designer
User Experience (UX) Designer
UX Designers create digital products that are user-friendly and engaging. Data visualization skills can be a valuable asset for UX Designers, as they allow them to create visual representations of user data and insights. This course offers practical experience in data visualization that can help aspiring UX Designers stand out in the job market.
Product Manager
Product Manager
Product Managers are responsible for the development and success of a product. Data visualization skills can allow Product Managers to effectively communicate product data and insights to stakeholders. This course may be helpful for aspiring Product Managers who are looking to gain hands-on experience in using data visualization.
Technical Writer
Technical Writer
Technical Writers create documentation for technical products and services. Data visualization skills can help Technical Writers present complex technical information in a clear and visually accessible manner. This course could be beneficial for aspiring Technical Writers who want to enhance their ability to convey technical data effectively through visualization.
Science Writer
Science Writer
Science Writers communicate scientific information to a wider audience. Data visualization skills can help Science Writers to present complex scientific data and concepts in visually engaging and understandable ways. This course offers practical experience in data visualization that can be particularly valuable for Science Writers looking to enhance their storytelling abilities.
Statistician
Statistician
Statisticians use data to understand and solve real-world problems. Data visualization is a crucial skill for Statisticians, as it allows them to communicate complex statistical concepts and insights visually. This course provides a foundation in data visualization techniques that could be beneficial for aspiring Statisticians.
Journalist
Journalist
Journalists report on and analyze current events and issues. Gaining proficiency in data visualization can give Journalists an edge in presenting data-driven stories and making complex information more accessible to the public. This course teaches the fundamentals of data visualization and could be a valuable asset for aspiring Journalists seeking to excel in data-driven journalism.
Consultant
Consultant
Consultants provide expert advice and guidance to organizations on a wide range of topics. Data visualization skills can be a valuable asset for Consultants, as they allow them to present complex data and insights to clients in a clear and compelling manner. This course offers practical experience in data visualization that could be beneficial for aspiring Consultants seeking to differentiate themselves in the job market.
For more career information including salaries, visit:
OpenCourser.com/course/v91940/visualizacao
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Visualização de dados com o Python.
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Provides a comprehensive guide to data visualization, covering everything from the basics of data visualization to advanced techniques. It includes numerous examples of effective data visualizations, and it valuable resource for anyone who wants to learn how to visualize data effectively.
Provides a practical guide to creating effective data visualizations. It covers the principles of data visualization, and how to choose the right chart for different types of data. This book is essential reading for anyone who wants to learn how to communicate data effectively through visualization.
Save
Provides a detailed overview of data visualization and the techniques you need to master. It explains the principles of data visualization, and how to avoid common pitfalls. Additionally, it covers a variety of advanced topics such as interactive visualizations and data storytelling.
Provides a comprehensive introduction to pattern recognition and machine learning. It covers all the essential topics, from supervised learning to unsupervised learning, and it valuable resource for anyone who wants to learn about pattern recognition and machine learning.
Provides a comprehensive introduction to machine learning from a probabilistic perspective. It covers all the essential topics, from Bayesian inference to deep learning, and it valuable resource for anyone who wants to learn about machine learning from a probabilistic perspective.
Provides a comprehensive guide to using Python for data analysis and visualization. It covers all the essential topics, from data import to data visualization, and it valuable resource for anyone who wants to learn how to use Python for data science.
Save
Provides a comprehensive guide to using R for data analysis and visualization. It covers all the essential topics, from data import to data visualization, and it valuable resource for anyone who wants to learn how to use R for data science.
Provides a comprehensive introduction to data science. It covers all the essential topics, from data cleaning to data visualization, and it valuable resource for anyone who wants to learn about data science.
Provides a comprehensive introduction to data science for business. It covers all the essential topics, from data mining to data visualization, and it valuable resource for anyone who wants to learn about data science for business.
Save
Provides a comprehensive introduction to data science for marketing. It covers all the essential topics, from data collection to data analysis, and it valuable resource for anyone who wants to learn about data science for marketing.
Save
Provides a comprehensive introduction to data mining. It covers all the essential topics, from data preprocessing to data visualization, and it valuable resource for anyone who wants to learn about data mining.
Provides a comprehensive introduction to the mathematical foundations of machine learning. It covers all the essential topics, from linear algebra to probability theory, and it valuable resource for anyone who wants to understand the mathematical foundations of machine learning.
Save
Provides a comprehensive introduction to deep learning. It covers all the essential topics, from neural networks to deep learning architectures, and it valuable resource for anyone who wants to learn about deep learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/v91940/visualizacao
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Via
Coursera
Institutions
IBM
IBM Skills Network
Instructor
Alex Aklson
Good to know
Teaches data visualization techniques that are in high demand in industry
Emphasizes clear and engaging data presentation for effective communication
Specifically targets data scientists who need to communicate their findings
Uses popular and widely-used data visualization libraries in Python, making it industry-relevant
Provides a hands-on approach through interactive labs and materials
Requires prior knowledge in Python, which may be a barrier for beginners
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