{"id":5545,"date":"2024-03-19T17:23:34","date_gmt":"2024-03-19T15:23:34","guid":{"rendered":"https:\/\/wawiwa-tech.com\/?p=5545"},"modified":"2024-06-12T20:05:12","modified_gmt":"2024-06-12T17:05:12","slug":"skills-that-data-analysts-need-in-2024","status":"publish","type":"post","link":"https:\/\/wawiwa-tech.com\/pt\/blog\/tech-jobs\/skills-that-data-analysts-need-in-2024\/","title":{"rendered":"Habilidades essenciais que os analistas de dados precisam ter em 2024"},"content":{"rendered":"
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Os dados s\u00e3o o novo ouro e aqueles que conseguem extrair e interpretar esse precioso recurso t\u00eam as chaves para liberar valor em todos os setores. A an\u00e1lise de dados \u00e9 um campo que est\u00e1 no cruzamento de n\u00fameros, tecnologia e tomada de decis\u00f5es. Pode-se argumentar que qualquer profissional precisa de um certo n\u00edvel de habilidades de an\u00e1lise de dados para desempenhar bem sua fun\u00e7\u00e3o. Este blog explora as habilidades essenciais que todo analista de dados precisa ter este ano e fornece dicas \u00fateis para obt\u00ea-las.\u00a0<\/span><\/p>

Excel - uma ferramenta indispens\u00e1vel para analistas de dados<\/b><\/h3>

Excel<\/b><\/a> continua sendo uma ferramenta indispens\u00e1vel para os analistas de dados. Sua simplicidade para organizar dados, aliada a recursos avan\u00e7ados como tabelas din\u00e2micas, fun\u00e7\u00f5es e f\u00f3rmulas, faz com que seja a primeira etapa para qualquer pessoa que se dedique \u00e0 an\u00e1lise de dados. Por exemplo, o uso da fun\u00e7\u00e3o VLOOKUP permite que os analistas encontrem rapidamente dados espec\u00edficos e atributos correspondentes em grandes conjuntos de dados. A versatilidade do Excel em lidar com tudo, desde a entrada de dados b\u00e1sicos at\u00e9 a an\u00e1lise estat\u00edstica complexa, garante sua relev\u00e2ncia em qualquer tarefa orientada por dados. Apesar dos avan\u00e7os em outras ferramentas, <\/span>mais de 50% de profissionais de dados usam SQL como sua principal linguagem de consulta<\/span><\/a>.<\/span><\/p>

SQL - Intera\u00e7\u00e3o com bancos de dados<\/b><\/h3>

Linguagem de consulta estruturada<\/b><\/a> (SQL) \u00e9 a espinha dorsal da manipula\u00e7\u00e3o de dados e da recupera\u00e7\u00e3o de bancos de dados. Entender como consultar bancos de dados com SQL significa que voc\u00ea pode interagir eficientemente com grandes bancos de dados para extrair, atualizar ou excluir dados. Por exemplo, a elabora\u00e7\u00e3o de uma consulta SQL para recuperar dados de clientes com base em crit\u00e9rios espec\u00edficos de um banco de dados ajuda as empresas a tomar decis\u00f5es informadas. A capacidade do SQL de lidar com grandes volumes de dados faz dele uma habilidade essencial para qualquer analista de dados.<\/span><\/p>

Python - An\u00e1lise complexa mais f\u00e1cil<\/b><\/h3>

Python<\/b><\/a> surgiu como uma das principais linguagens de programa\u00e7\u00e3o para an\u00e1lise de dados devido \u00e0 sua facilidade de leitura e \u00e0s bibliotecas poderosas que oferece, como o Pandas para manipula\u00e7\u00e3o de dados e o NumPy para an\u00e1lise num\u00e9rica. Com o Python, os analistas podem automatizar o processo de limpeza de dados, realizar an\u00e1lises complexas e at\u00e9 mesmo criar modelos de aprendizado de m\u00e1quina. Um exemplo pr\u00e1tico \u00e9 usar Python para extrair dados da Web, limp\u00e1-los e analisar tend\u00eancias ao longo do tempo.<\/span><\/p>

Visualiza\u00e7\u00e3o de dados para insights pr\u00e1ticos<\/b><\/h3>

Visualiza\u00e7\u00e3o de dados<\/b><\/a> \u00e9 fundamental para transformar conjuntos de dados complexos em visuais que as pessoas possam entender facilmente e passar a insights acion\u00e1veis. Ferramentas como a <\/span>Power BI<\/b> permitem que os analistas criem relat\u00f3rios e pain\u00e9is interativos que tornam os dados compreens\u00edveis. Por exemplo, a cria\u00e7\u00e3o de um painel que monitore o desempenho das vendas em diferentes regi\u00f5es pode destacar as melhores regi\u00f5es geogr\u00e1ficas para uma empresa e as tend\u00eancias que informam as decis\u00f5es estrat\u00e9gicas.\u00a0<\/span><\/p>

Intelig\u00eancia Artificial (IA) para velocidade e efici\u00eancia<\/b><\/h3>

Incorpora\u00e7\u00e3o de <\/span>Intelig\u00eancia Artificial<\/b><\/a> (IA) na an\u00e1lise de dados est\u00e1 revolucionando a forma como interpretamos e agimos com base nos dados. Os algoritmos de IA podem examinar conjuntos de dados maci\u00e7os com muito mais rapidez do que seria humanamente poss\u00edvel, identificando padr\u00f5es e percep\u00e7\u00f5es que poderiam passar despercebidos. Essa integra\u00e7\u00e3o acelera o processo anal\u00edtico e abre novas possibilidades de an\u00e1lise preditiva e experi\u00eancias personalizadas para os clientes. Ao aproveitar a IA, os analistas de dados podem se concentrar em tarefas mais estrat\u00e9gicas, tornando suas fun\u00e7\u00f5es ainda mais cruciais.<\/span><\/p>

Habilidades interpessoais<\/b><\/h3>

Al\u00e9m da profici\u00eancia t\u00e9cnica, <\/span>habilidades interpessoais<\/b><\/a> Como o pensamento cr\u00edtico, a comunica\u00e7\u00e3o eficaz e a solu\u00e7\u00e3o de problemas desempenham um papel importante no sucesso de um analista de dados. A capacidade de interpretar dados, extrair insights e comunicar as descobertas de forma acess\u00edvel a todas as partes interessadas garante que as decis\u00f5es baseadas em dados sejam tomadas com efic\u00e1cia. Por exemplo, apresenta\u00e7\u00f5es claras e concisas podem preencher a lacuna entre os dados e os processos de tomada de decis\u00e3o. As habilidades interpessoais garantem que o conhecimento t\u00e9cnico se traduza em impacto no mundo real.\u00a0<\/span><\/p>

Dicas para prosperar como analista de dados<\/b><\/h3>

Novas ferramentas, t\u00e9cnicas e tecnologias est\u00e3o surgindo regularmente no campo da an\u00e1lise de dados. \u00c9 importante que os analistas de dados promovam uma cultura de aprendizado e curiosidade cont\u00ednuos. Explorar as \u00faltimas tend\u00eancias em IA, aprendizado de m\u00e1quina e ferramentas de visualiza\u00e7\u00e3o de dados pode direcion\u00e1-lo a maneiras mais eficientes de obter insights. A participa\u00e7\u00e3o em cursos, webinars e f\u00f3runs da comunidade o mant\u00e9m atualizado e aprimora seu conjunto de habilidades.<\/span><\/p>

Por exemplo, aprender sobre uma nova ferramenta de visualiza\u00e7\u00e3o de dados pode melhorar significativamente a maneira como voc\u00ea apresenta os dados, tornando-os mais impactantes. Encontrar um bom m\u00e9todo de aprendizado e um mentor que possa lhe ensinar as habilidades b\u00e1sicas tamb\u00e9m \u00e9 fundamental. <\/span>Depois de compreender os conceitos b\u00e1sicos, voc\u00ea poder\u00e1 explorar e aplicar novas t\u00e9cnicas de forma independente<\/span><\/a>permitindo que voc\u00ea prospere em sua carreira.<\/span><\/p>

A an\u00e1lise de dados prospera com a colabora\u00e7\u00e3o entre diferentes departamentos e partes interessadas. A capacidade de explicar suas descobertas em termos simples para membros n\u00e3o t\u00e9cnicos da equipe ou partes interessadas \u00e9 inestim\u00e1vel. A colabora\u00e7\u00e3o com outras pessoas tamb\u00e9m pode fornecer novas perspectivas e percep\u00e7\u00f5es, resultando em an\u00e1lises mais abrangentes e precisas.\u00a0<\/span><\/p>

O gerenciamento eficaz do tempo e a prioriza\u00e7\u00e3o s\u00e3o essenciais para o sucesso na an\u00e1lise de dados. Com a grande quantidade de dados e a demanda cont\u00ednua por insights oportunos, \u00e9 importante que os analistas de dados identifiquem e se concentrem nas tarefas de maior impacto. A utiliza\u00e7\u00e3o de ferramentas e t\u00e9cnicas de gerenciamento de projetos pode ajudar a organizar seu fluxo de trabalho e garantir que os prazos sejam cumpridos sem comprometer a qualidade da an\u00e1lise. A pr\u00e1tica do pensamento cr\u00edtico para questionar as fontes de dados e as suposi\u00e7\u00f5es pode levar a resultados mais robustos e confi\u00e1veis.\u00a0<\/span><\/p>

Programa e cursos da Wawiwa sobre an\u00e1lise de dados<\/b><\/h3>

A Wawiwa \u00e9 um provedor de educa\u00e7\u00e3o tecnol\u00f3gica que oferece programas de requalifica\u00e7\u00e3o e aprimoramento, sempre atualizados. A Wawiwa requalifica pessoas sem experi\u00eancia em an\u00e1lise de dados<\/a> para fun\u00e7\u00f5es de analista de dados e aprimora as habilidades de pessoas com alguma experi\u00eancia para usar melhor os dados em suas fun\u00e7\u00f5es de trabalho. Mesmo pessoas sem experi\u00eancia em tecnologia podem se tornar analistas de dados em 6 meses. Seja um profissional de marketing que deseja analisar os dados do cliente de forma mais eficaz, um analista financeiro que busca aprimorar seus recursos de relat\u00f3rio ou um gerente de projeto que deseja tomar decis\u00f5es orientadas por dados, o programa de analista de dados da Wawiwa oferece as habilidades necess\u00e1rias para aproveitar os dados para obter melhores resultados.<\/span><\/p>

A Wawiwa tamb\u00e9m oferece cursos de aperfei\u00e7oamento espec\u00edficos em ferramentas importantes, como <\/span>Excel<\/a>,<\/span> SQL<\/span><\/a>, <\/span>Python<\/span><\/a>e <\/span>Power BI<\/span><\/a>. Esses cursos s\u00e3o projetados para atender a indiv\u00edduos com uma necessidade espec\u00edfica de aprimoramento de habilidades. O Programa e os Cursos de Analista de Dados da Wawiwa integram o uso de ferramentas avan\u00e7adas de IA no processo de treinamento, permitindo que os alunos compreendam e apliquem metodologias anal\u00edticas orientadas por IA para aproveitar o poder dos dados de forma eficaz. <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Quais s\u00e3o as principais habilidades de an\u00e1lise de dados em 2024? Qual \u00e9 a import\u00e2ncia do Excel, SQL, Python e Power BI na era da IA? Leia nosso blog para descobrir e obter algumas dicas de requalifica\u00e7\u00e3o e aprimoramento em an\u00e1lise de dados, garantindo que seus insights gerem impacto no mundo real.<\/p>","protected":false},"author":1,"featured_media":5547,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[224,174],"tags":[530,153,58,22],"class_list":["post-5545","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-jobs","category-upskilling","tag-data-analyst-en","tag-data-analytics","tag-learning","tag-tech"],"acf":[],"yoast_head":"\nEssential Skills that Data Analysts Need in 2024<\/title>\n<meta name=\"description\" content=\"What are the top data analysis skills in 2024? What\u2019s the importance of Excel, SQL, Python, and Power BI, in the AI era? 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