Trabalho de conclusão de Ciência de Dados Aplicada from Coursera

Este curso do projeto de conclusão mostrará um pouco do que os cientistas de dados passam na vida real ao trabalhar com dados. Você aprenderá sobre dados de localização e diferentes provedores de dados de localização, como o Foursquare. Você aprenderá como fazer chamadas de API RESTful para a API do Foursquare a fim de recuperar dados sobre locais em diferentes bairros do mundo. Você também aprenderá como usar a criatividade quando os dados não estiverem disponíveis na hora, coletando dados da Web e analisando o código HTML. Você utilizará Python e sua biblioteca do Pandas para manipular dados, o que ajudará você a refinar suas habilidades para explorar e analisar dados. Por fim, você deverá usar a biblioteca Folium para obter excelentes mapas de dados geoespaciais e para comunicar seus resultados e descobertas. Se optar por fazer este curso e obter o certificado de conclusão de curso do Coursera, você também poderá ganhar um selo digital da IBM. OFERTA LIMITADA: a assinatura custa apenas US$ 39,00 por mês para acesso a materiais classificados e a um certificado.

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Provides hands-on learning through data manipulation and visualization

Involves collecting data from real-world sources like the Foursquare API

Teaches practical skills in data analysis and visualization using Python and its libraries

Requires students to have some experience in Python and data analysis

May require additional resources to supplement the course materials

The curriculum is focused on a specific aspect of data analysis: geospatial data

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 Trabalho de conclusão de Ciência de Dados Aplicada with these activities:

Organize course materials

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Organize your notes and assignments to enhance your comprehension

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Create a dedicated folder for course materials
Regularly add notes, assignments, and quizzes to the folder

Refresh your HTML knowledge

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Brush up on HTML to enhance your web scraping skills

Browse courses on HTML

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Review HTML tutorials
Practice writing basic HTML code

Review Data Science for Business

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Review this book to get a foundational understanding of data science concepts

View Data Science for Business: What You Need to... on Amazon

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Read the first three chapters of the book
Summarize the key concepts discussed in each chapter

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Explore Folium documentation

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Follow guided tutorials or documentation on Folium to enhance your understanding of its features and how to create interactive maps.

Browse courses on Folium

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Visit the Folium documentation website.
Read through introductory tutorials on creating maps.

Analyze data using Pandas

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Engage in practice exercises that involve manipulating and analyzing data using Pandas, solidifying your ability to prepare data for geospatial analysis.

Browse courses on Pandas

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Solve problems on LeetCode or Kaggle related to data manipulation.
Create your own datasets and practice using Pandas functions.

Follow tutorials on Python data analysis

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Follow guided tutorials to enhance your Python data analysis skills

Browse courses on Python

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Find tutorials on Python data analysis
Watch the tutorials and follow along with the examples provided

Scrape data from Foursquare

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Start a hands-on project that involves scraping data from Foursquare using Python, allowing you to practice data retrieval and manipulation skills relevant to this course.

Browse courses on Data Scraping

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Set up a Python environment with necessary libraries.
Obtain a Foursquare API key.
Write code to make API calls and parse JSON responses.
Store the scraped data in a structured format.

Practice using the Foursquare API

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Complete practice drills to become proficient in using the Foursquare API

Browse courses on Foursquare API

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Create a Foursquare developer account
Install the Foursquare API Python library
Use the Foursquare API to get data on venues in a specific city

Develop a geospatial data dashboard

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Create a dashboard that visualizes geospatial data using tools such as Folium, reinforcing your ability to communicate findings through interactive and dynamic visualizations.

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Design the dashboard layout and choose appropriate visualizations.
Integrate Folium maps and other interactive elements.
Set up a hosting platform for the dashboard.

Create a data visualization project

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Create a data visualization project to showcase your understanding of the course material

Browse courses on Data Visualization

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Choose a dataset to visualize
Clean and prepare the data
Create a data visualization using a tool like Tableau or Power BI

Career center

Learners who complete Trabalho de conclusão de Ciência de Dados Aplicada will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists are experts in collecting, cleaning, and analyzing data to extract insights and inform decision-making. This course provides a foundation for this career by teaching you how to work with location data, make API calls, and use Python and Pandas for data manipulation. You'll also learn how to present your findings through interactive maps using the Folium library.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts use data to solve business problems and improve decision-making. This course provides a strong foundation for this role by teaching you how to collect, clean, and analyze data. You'll also learn how to use Python and Pandas for data manipulation and Folium for creating interactive data visualizations.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers design and build the systems that store, process, and analyze data. This course provides a foundation for this role by teaching you how to work with data in the cloud, use Python for data manipulation, and create data pipelines.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers build and deploy machine learning models to solve real-world problems. This course provides a foundation for this role by teaching you how to collect, clean, and analyze data, use Python for data manipulation, and build machine learning models.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be useful for this role by teaching you how to use Python for data manipulation and how to create interactive data visualizations.

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Web Developer

Web Developers design and develop websites and web applications. This course may be useful for this role by teaching you how to make API calls and how to create interactive data visualizations.

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Business Analyst

Business Analysts use data to understand business problems and improve decision-making. This course provides a foundation for this role by teaching you how to collect, clean, and analyze data. You'll also learn how to use Python for data manipulation and Folium for creating interactive data visualizations.

See salaries and explore the career path for Business Analyst

Project Manager

Project Managers plan, execute, and deliver projects. This course may be useful for this role by teaching you how to manage data-driven projects and how to communicate your findings effectively.

See salaries and explore the career path for Project Manager

Product Manager

Product Managers are responsible for the development and launch of new products. This course may be useful for this role by teaching you how to collect and analyze data to understand customer needs.

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Marketing Manager

Marketing Managers plan and execute marketing campaigns to promote products and services. This course may be useful for this role by teaching you how to collect and analyze data to understand customer behavior.

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Sales Manager

Sales Managers lead sales teams and are responsible for achieving sales goals. This course may be useful for this role by teaching you how to collect and analyze data to understand customer needs and trends.

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Operations Manager

Operations Managers are responsible for the day-to-day operations of a business. This course may be useful for this role by teaching you how to collect and analyze data to improve efficiency and productivity.

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Financial Analyst

Financial Analysts provide financial advice to individuals and organizations. This course may be useful for this role by teaching you how to collect and analyze data to make informed investment decisions.

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Consultant

Consultants provide advice and guidance to businesses and organizations. This course may be useful for this role by teaching you how to collect and analyze data to help clients solve problems and make informed decisions.

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Teacher

Teachers educate students at all levels. This course may be useful for this role by providing you with a foundation in data science that you can share with your students.

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Trabalho de conclusão de Ciência de Dados Aplicada

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