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What are the top skills for a programmer working with IS data analysis and visualization?

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If you are a programmer who wants to work with information systems (IS) data analysis and visualization, you need to master some essential skills that will help you create effective and engaging solutions. IS data analysis and visualization is the process of collecting, processing, and presenting data from various sources and systems in a meaningful and interactive way. It can help organizations improve decision making, performance, and innovation. In this article, we will discuss the top skills for a programmer working with IS data analysis and visualization, and how you can develop them.

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1 Programming languages

One of the most fundamental skills for a programmer working with IS data analysis and visualization is to know how to use one or more programming languages that are suitable for the task. Depending on the type and complexity of the data, the platform, and the audience, you may need to use different languages or frameworks. Some of the most popular and versatile languages for IS data analysis and visualization are Python, R, SQL, JavaScript, and HTML/CSS. You should be familiar with the syntax, libraries, and tools of these languages, and how to apply them to different scenarios.

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Andre Diniz
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Nas organiza??es de grande porte e corpora??es, Python emerge como uma das linguagens preponderantes para a automa??o de processos. Todavia, é imperativo reconhecer que, embora o SQL n?o se configure formalmente como uma linguagem, sua proficiência é indispensável para qualquer análise que englobe a manipula??o de dados. Uma dica: Estudo de Lógica da Programa??o.

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2 Data manipulation and analysis

Another key skill for a programmer working with IS data analysis and visualization is to know how to manipulate and analyze data from various sources and systems. You should be able to perform tasks such as data cleaning, filtering, merging, aggregating, transforming, and querying. You should also be able to apply statistical and mathematical methods to explore, summarize, and interpret data. You should be able to use tools such as Excel, pandas, dplyr, and SQL to perform these tasks efficiently and accurately.

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Andre Diniz
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Embora ferramentas de Business Intelligence, tais como o Power BI, Tableau e similares, desfrutem de uma ampla ado??o nas corpora??es de grande porte, é imprescindível que profissionais envolvidos na manipula??o e análise de dados possuam competências avan?adas em Excel. Muitas empresas ainda armazenam uma quantidade significativa de dados nessa plataforma da Microsoft, tornando o domínio do Excel uma habilidade fundamental para garantir uma análise eficaz e abrangente.

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3 Data visualization

The third skill for a programmer working with IS data analysis and visualization is to know how to create and customize data visualizations that are appropriate for the data, the platform, and the audience. You should be able to choose the right type of chart, graph, map, dashboard, or interactive element that can convey the message and the insights of the data effectively and aesthetically. You should also be able to use tools such as matplotlib, ggplot2, Plotly, D3.js, and Tableau to create and modify data visualizations.

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Andre Diniz
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Com base em minha experiência, identifico o Microsoft Power BI e o Tableau como as duas principais ferramentas para visualiza??o de dados. Entretanto, é importante observar que o Looker Studio, desenvolvido pela empresa Google, está emergindo como uma op??o de uso em larga escala por startups.

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4 Communication and storytelling

The fourth skill for a programmer working with IS data analysis and visualization is to know how to communicate and tell stories with data. You should be able to explain the purpose, the process, and the results of your data analysis and visualization project in a clear and concise way. You should also be able to use narrative techniques, such as context, structure, logic, emotion, and action, to engage and persuade your audience. You should be able to use tools such as PowerPoint, Jupyter Notebook, R Markdown, and Shiny to present and share your data stories.

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Andre Diniz
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Ao longo da minha trajetória profissional, optei consistentemente pelo uso do Microsoft PowerPoint para a condu??o de narrativas visuais com dados.

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5 Critical thinking and problem-solving

The fifth skill for a programmer working with IS data analysis and visualization is to know how to think critically and solve problems with data. You should be able to define the problem, identify the data sources and requirements, design the solution, implement the solution, test the solution, and evaluate the solution. You should also be able to identify and overcome the challenges, limitations, and biases of data analysis and visualization. You should be able to use tools such as Google, Stack Overflow, and online courses to learn and improve your skills.

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6 Collaboration and teamwork

The sixth skill for a programmer working with IS data analysis and visualization is to know how to collaborate and work in a team. You should be able to communicate, coordinate, and cooperate with other programmers, analysts, managers, and stakeholders in your data project. You should also be able to use tools such as GitHub, Slack, and Zoom to share, review, and update your code, data, and visualizations. You should be able to respect, support, and learn from your team members, and contribute to the success of the project.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Andre Diniz
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A considera??o do Figma como uma ferramenta para viabilizar um design mais acessível e aprimorar a compreens?o dos insights por parte dos nossos clientes também merece ser ponderada pelos profissionais do setor de análise de dados.

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What are the top skills for a programmer working with IS data analysis and visualization?

1

2

3

4

5

6

7

1 Programming languages

2 Data manipulation and analysis

3 Data visualization

4 Communication and storytelling

5 Critical thinking and problem-solving

6 Collaboration and teamwork

7 Here’s what else to consider

Information Systems

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What are the top skills for a programmer working with IS data analysis and visualization?

1

2

3

4

5

6

7

1 Programming languages

2 Data manipulation and analysis

3 Data visualization

4 Communication and storytelling

5 Critical thinking and problem-solving

6 Collaboration and teamwork

7 Here’s what else to consider

Information Systems

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