Get ahead w/ Data Analysis & Visualization skills. Enhance your career by learning to analyze data using Excel spreadsheets, and create stunning visualizations and interactive dashboards with Cognos.

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Programa de cursos integrados Data Analysis and Visualization FoundationsIBM Skills Network

O que você vai aprender

Describe the data ecosystem, tasks a Data Analyst performs, as well as skills and tools required for successful data analysis
Explain basic functionality of spreadsheets and utilize Excel to perform a variety of data analysis tasks like data wrangling and data mining
List various types of charts and plots and create them in Excel as well as work with Cognos Analytics to generate interactive dashboards
Explain what Data Analytics is and the key steps in the Data Analytics process

Habilidades que você terá

Sobre este Programa de cursos integrados

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Deriving insights from data and communicating findings has become an increasingly important part of virtually every profession. This Specialization prepares you for this data-driven transformation by teaching you the core principles of data analysis and visualization and by giving you the tools and hands-on practice to communicate the results of your data discoveries effectively. You will be introduced to the modern data ecosystem. You will learn the skills required to successfully start data analysis tasks by becoming familiar with spreadsheets like Excel. You will examine different data sets, load them into the spreadsheet, and employ techniques like summarization, sorting, filtering, & creating pivot tables. Creating stunning visualizations is a critical part of communicating your data analysis results. You will use Excel spreadsheets to create the many different types of data visualizations such as line plots, bar charts, pie charts. You will also create advanced visualizations such as treemaps, scatter charts & map charts. You will then build interactive dashboards. This Specialization is designed for learners interested in starting a career in the field of Data or Business Analytics, as well as those in other professions, who need basic data analysis and visualization skills to supplement their primary job tasks. This program is ACE® recommended—when you complete, you can earn up to 9 college credits.

Projeto de Aprendizagem Aplicada

Build your data analytics portfolio as you gain practical experience from producing artifacts in the interactive labs and projects throughout this program. Each course has a culminating project to apply your newfound skills:

In the first course, create visualizations to detect fraud by analyzing credit card data.
In the second course, import, clean, and analyze fleet vehicle inventory with Excel pivot tables.
In the third course, use car sales key performance indicator (KPI) data to create an interactive dashboard with stunning visualizations using Excel and IBM Cognos Analytics.

Only a modern web browser is required to complete these practical exercises and projects — no need to download or install anything on your device.

Certificados compartilháveis

Tenha o certificado após a conclusão

Cursos 100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Cronograma flexível

Definição e manutenção de prazos flexíveis.

Nível iniciante

Aproximadamente 4 meses para ser concluído

Ritmo sugerido de 2 horas/semana

Inglês

Sua empresa se beneficiaria do treinamento dos funcionários em habilidades sob demanda?

Experimente o Coursera for Business

Certificados compartilháveis

Tenha o certificado após a conclusão

Cursos 100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Cronograma flexível

Definição e manutenção de prazos flexíveis.

Nível iniciante

Aproximadamente 4 meses para ser concluído

Ritmo sugerido de 2 horas/semana

Inglês

Sua empresa se beneficiaria do treinamento dos funcionários em habilidades sob demanda?

Experimente o Coursera for Business

Veja como os funcionários das principais empresas estão se especializando em habilidades sob demanda

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Como funciona o programa de cursos integrados

Fazer cursos

Um programa de cursos integrados do Coursera é uma série de cursos para ajudá-lo a dominar uma habilidade. Primeiramente, inscreva-se no programa de cursos integrados diretamente, ou avalie a lista de cursos e escolha por qual você gostaria de começar. Ao se inscrever em um curso que faz parte de um programa de cursos integrados, você é automaticamente inscrito em todo o programa de cursos integrados. É possível concluir apenas um curso — você pode pausar a sua aprendizagem ou cancelar a sua assinatura a qualquer momento. Visite o seu painel de aprendiz para controlar suas inscrições em cursos e progresso.

Projeto prático

Todos os programas de cursos integrados incluem um projeto prático. Você precisará completar com êxito o(s) projeto(s) para concluir o programa de cursos integrados e obter o seu certificado. Se o programa de cursos integrados incluir um curso separado para o projeto prático, você precisará completar todos os outros cursos antes de iniciá-lo.

Obtenha um certificado

Ao concluir todos os cursos e completar o projeto prático, você obterá um certificado que pode ser compartilhado com potenciais empregadores e com sua rede profissional.

Este Programa de cursos integrados contém 4 cursos

Curso1

Curso 1

Introduction to Data Analytics

4.8

estrelas

10,185 classificações

Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers.

You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pipelines. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you’ll be able to understand the fundamentals of the data analysis process including gathering, cleaning, analyzing and sharing data and communicating your insights with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, and provide a real-world scenario of data analysis tasks. This course does not require any prior data analysis, spreadsheet, or computer science experience.

Curso2

Curso 2

Excel Basics for Data Analysis

4.8

estrelas

4,964 classificações

Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data.

This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. No prior experience with spreadsheets or coding is required - all you need is a device with a modern web browser and the ability to create a Microsoft account to access Excel online at no cost. If you have a desktop version of Excel, you can also easily follow along with the course. Throughout this course, you'll gain valuable experience working with data sets and spreadsheets. We'll start by introducing you to spreadsheets like Microsoft Excel and Google Sheets, and show you how to load data from multiple formats. From there, you'll learn how to perform basic data wrangling and cleansing tasks using functions, and expand your knowledge of data analysis through the use of filtering, sorting, and pivot tables. There is a strong focus on practice and applied learning in this course. With each lab, you'll have the opportunity to manipulate data and gain hands-on experience using Excel. You'll learn how to clean and format your data efficiently, and convert it into a pivot table to make it more organized and readable. The final project will allow you to showcase your newly acquired data analysis skills by working with real data sets and spreadsheets. By the end of this course, you'll have a solid foundation in using Excel for data analysis. You'll have worked with multiple data sets and spreadsheets, and will have the skills and knowledge needed to effectively clean and analyze data without having to learn any code. So let's get started!

Curso3

Curso 3

Data Visualization and Dashboards with Excel and Cognos

4.7

estrelas

2,409 classificações

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code.

You'll start by creating simple charts in Excel such as line, pie and bar charts. You will then create more advanced visualizations with Treemaps, Scatter Charts, Histograms, Filled Map Charts, and Sparklines. Next you’ll also work with the Excel PivotChart feature as well as assemble several visualizations in an Excel dashboard. This course also teaches you how to use business intelligence (BI) tools like Cognos Analytics to create interactive dashboards. By the end of the course you will have an appreciation for the key role that data visualizations play in communicating your data analysis findings, and the ability to effectively create them. Throughout this course there will be numerous hands-on labs to help you develop practical experience for working with Excel and Cognos. There is also a final project in which you’ll create a set of data visualizations and an interactive dashboard to add to your portfolio, which you can share with peers, professional communities or prospective employers.

Curso4

Curso 4

Assessment for Data Analysis and Visualization Foundations

4.4

estrelas

95 classificações

This is the final course in the Data Analysis and Visualization Foundations Specialization. It contains a graded final examination covering content from three courses: Introduction to Data Analytics, Excel Basics for Data Analysis, and Data Visualization and Dashboards with Excel and Cognos.

From the Introduction to Data Analytics course, you will be assessed on your knowledge of topics such as the data ecosystem and the fundamentals of data analysis, including data gathering and data mining tools. From the Excel Basics for Data Analysis course, you should be prepared to answer test items on topics like how Excel spreadsheets are used in data analytics, cleansing and wrangling data, as well as pivot tables. Finally, from the Data Visualization and Dashboards with Excel and Cognos course, you will demonstrate your knowledge on topics such as the basics of IBM Cognos and using Excel for data visualization.

Instrutores

oferecido por

IBM Skills Network

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

Perguntas Frequentes – FAQ

Qual é a política de reembolso?
Se você se inscrever, terá 7 dias para testar sem custo e, durante este período, pode cancelar sem multa. Depois disso, não reembolsamos, mas você pode cancelar sua inscrição a qualquer momento. Veja nossa política para o reembolso total.
Posso me inscrever em um único curso?
Sim! Para começar, clique na carta de curso que lhe interessa e se inscreva. Você pode se inscrever e concluir o curso para ganhar um certificado compartilhável ou você pode auditar para ver os materiais do curso de graça. Quando você se inscrever em um curso que faz parte de uma especialização, você está automaticamente inscrito para a especialização completa. Visite o seu painel de aluno para acompanhar o seu progresso.
Existe algum auxílio financeiro disponível?
Sim. Em programas de aprendizado selecionados, você pode solicitar auxílio financeiro ou uma bolsa de estudos caso não consiga pagar a taxa de inscrição. Se o auxílio financeiro ou bolsa de estudos estiver disponível para a seleção do seu programa de aprendizado, você encontrará um link para se inscrever na página de descrição.
Posso fazer o curso gratuitamente?
Quando se inscrever no curso, você terá acesso a todos os cursos na Especialização e ganhará um certificado quando concluir o trabalho. Se você só quiser ler e visualizar o conteúdo do curso, pode auditar o curso gratuitamente. Se não puder pagar a taxa, você pode solicitar ajuda financeira.
Este curso é realmente 100% on-line? Eu preciso assistir alguma aula pessoalmente?
Este curso é totalmente on-line, então não existe necessidade de aparecer em uma sala de aula pessoalmente. Você pode acessar suas palestras, leituras e atribuições a qualquer hora e qualquer lugar, via web ou dispositivo móvel.
Vou ganhar créditos universitários por concluir a Especialização?
Esta Especialização não carrega créditos universitários, mas algumas universidades podem optar por aceitar certificados de especialização como crédito. Verifique com sua instituição para saber mais.
Quanto tempo é necessário para concluir a Especialização?
Completing this specialization requires 30-36 hours of effort. Working 10-12 hours a week, it can be complete in about a month. Or if working 3-4 hours per week, it would take 2-3 months to complete.
What background knowledge is necessary?
This program does not pre-req any prior programming or statistical skills, and is suitable for learners with or without college degrees. All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to self-learn online, and the desire to enrich your profile with valuable skills.
Do I need to take the courses in a specific order?
Yes, it is strongly recommended to take the courses in the order suggested as the courses build upon the concepts in the previous courses.
Can I get college credit for taking the IBM Data Analysis and Visualization Foundations Specialization?
Yes. The IBM Data Analysis and Visualization Foundations Specialization recently secured a credit recommendation from the American Council on Education's (ACE) Credit Recommendation, which is the industry standard for translating workplace learning to college credit. Learners can earn a recommendation of 9 college credits for completing the program. This aims to help open up additional pathways to learners who are interested in higher education and prepare them for entry-level jobs.
What will I be able to do upon completing the Specialization?
After completing this professional certificate, you will be able to
Describe the data ecosystem, tasks a Data Analyst performs, as well as skills and tools required to become a successful Data Analyst
Explain basic functionality of spreadsheets, and utilize Excel to perform a variety of data analysis tasks like data wrangling and data mining
List various types of charts and plots and create them in Excel as well as work with Cognos Analytics to generate dashboards
Who can benefit by completing this Specialization?
This specialization caters to the needs of learners interested in developing foundational knowledge in Data Analysis without programming. This includes those who are interested in starting a career in the field of Data or Business Analytics, as well as those in other professions, such as marketing & sales personnel, executives, managers, researchers, citizen journalists, bloggers, and students who need basic data analysis and visualization skills to supplement their primary job tasks.
How do you share your proof of completion with the educational institutions for transferring credit?
To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credlybadge, which contains the ACE®️credit recommendation. Once claimed, you will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform. Please note that the decision to accept specific credit recommendations is up to each institution and is not guaranteed.
Where can I find more information on ACE credit recommendations?
Please see Coursera’s ACE Recommendations FAQ.

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Programa de cursos integrados Data Analysis and Visualization Foundations

O que você vai aprender

Habilidades que você terá

Sobre este Programa de cursos integrados

Projeto de Aprendizagem Aplicada