Visualização de dados com o Python from Coursera

"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.

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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

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Visualização de dados com o Python with these activities:

Review Python Syntax

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Python is the primary programming language used in this course, and familiarity with its syntax is crucial

Browse courses on Python

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Revisit core Python syntax resources

Connect with professionals in data visualization

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Seeking guidance from experts can accelerate your progress and provide valuable insights

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Attend networking events and conferences related to data visualization
Reach out to professionals on LinkedIn and request informational interviews

Practice creating visualizations with libraries

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These libraries are fundamental to the course and practicing with them is essential for proficiency

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Follow tutorials on creating visualizations using Matplotlib
Create scatterplots, line charts, and histograms using Seaborn

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Interpret visualizations and draw conclusions

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Developing the ability to derive meaningful insights from visualizations is key to data analysis

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Study various visualizations and identify patterns and trends
Practice drawing conclusions and making inferences based on the visualizations

Develop a visual story using data

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Data visualization is the art of storytelling with numbers, and this project challenges you to apply your skills to communicate insights

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Gather data on a topic of your interest
Clean and prepare the data for visualization
Create visualizations that effectively convey your insights
Present your findings

Contribute to open-source data visualization projects

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Contributing to open-source projects allows you to collaborate and learn from others in the field

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Identify open-source data visualization projects that align with your interests
Review the project codebase and documentation
Propose and implement improvements or bug fixes

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 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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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