- Data Science
- Deep Learning
- Machine Learning
- Big Data
- Data Mining
- Github
- Python Programming
- Jupyter notebooks
- Rstudio
- Methodology
- Data Analysis
- Pandas
Certificado Profissional Ciência de dados da IBM
Kickstart your career in data science & ML. Build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models. No degree or prior experience required.
101.958 já se inscreveram
oferecido por
Crédito elegível para o certificado Bachelor of Science in Computer Science
Universidade de Londres
O que você vai aprender
Learn what data science is, the various activities of a data scientist’s job, and methodology to think and work like a data scientist
Develop hands-on skills using the tools, languages, and libraries used by professional data scientists
Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python
Apply various data science skills, techniques, and tools to complete a project and publish a report
Habilidades que você terá
Sobre este Certificado profissional
512.961 visualizações recentes
Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience.
It’s a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry level data scientist.
The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.
Upon successfully completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science.
In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in data science.
Projeto de Aprendizagem Aplicada
This Professional Certificate has a strong emphasis on applied learning. Except for the first course, all other courses include a series of hands-on labs in the IBM Cloud that will give you practical skills with applicability to real jobs, including:
Tools: Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.
Projects: random album generator, predict housing prices, best classifier model, Predicting successful rocket landing, dashboa rd and interactive map
Resultados de carreira do aprendiz
30%
Começou uma nova carreira depois de completar o Programa de cursos integrados.
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
Não é necessário ter experiência prévia.Não é necessária experiência prévia.
Aproximadamente 11 meses para ser concluído
Ritmo sugerido de 4 horas/semana
Inglês
Legendas: Inglês, Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Turco, Espanhol, Persa, Coreano
Resultados de carreira do aprendiz
30%
Começou uma nova carreira depois de completar o Programa de cursos integrados.
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
Não é necessário ter experiência prévia.Não é necessária experiência prévia.
Aproximadamente 11 meses para ser concluído
Ritmo sugerido de 4 horas/semana
Inglês
Legendas: Inglês, Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Turco, Espanhol, Persa, Coreano
O que é um Certificado Profissional?
Adquira o conhecimento para garantir uma vaga
Não importa se quer começar uma nova carreira ou aperfeiçoar a atual: os Certificados Profissionais do Coursera ajudam você a ficar pronto para conseguir uma vaga. Aprenda no seu ritmo, quando e onde for melhor para você. Matricule-se já e descubra um novo plano de carreira com o teste grátis de 7 dias. Você pode parar o aprendizado por um tempo ou cancelar a inscrição quando quiser.
Projetos práticos
Use o conhecimento adquirido com projetos práticos e crie um portfólio que mostre que é o candidato ideal a possíveis empregadores. Você precisará concluir o(s) projeto(s) para receber o Certificado.
Obtenha uma credencial na carreira
Depois de concluir todos os cursos no programa, você receberá o certificado para compartilhar com sua rede profissional, bem como terá acesso a recursos de apoio à carreira para ajudá-lo a começar com o pé direito. Muitos Certificados Profissionais contam com parceiros de contratação que reconhecem as qualificações do Certificado Profissional, enquanto outros ajudam a preparar você para um exame de certificação. É possível obter mais informações sobre o que pode ser feito com um Certificado Profissional nas páginas específicas.
Este Certificado profissional contém 10 cursos
O que é ciência de dados?
54,129 classificações
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
Tools for Data Science
23,851 classificações
What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.
Data Science Methodology
17,614 classificações
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.
Python for Data Science, AI & Development
26,282 classificações
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.
oferecido por
IBM
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.
Obtenha créditos para um diploma
Ao concluir esse certificado, você poderá ganhar créditos universitários quando for aceito em Bachelor of Science in Computer Science da Universidade de Londres.
Perguntas Frequentes – FAQ
Qual é a política de reembolso?
Posso me inscrever em um único curso?
Este curso é realmente 100% on-line? Eu preciso assistir alguma aula pessoalmente?
How can I earn my IBM Badge?
What is data science?
What are some examples of careers in data science?
How long does it take to complete the Professional Certificate?
What background knowledge do I need for this program?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Professional Certificate?
What will I be able to do upon completing the Professional Certificate?
I already completed some of the other courses in this Professional Certificate. Will I get "credit" for them?
I have already completed the Introduction to Data Science Specialization. Can I still enroll in this Professional Certificate?
Which program should I enroll in - the Introduction to Data Science Specialization, or this Professional Certificate?
I have already completed the Applied Data Science Specialization. Can I still enroll in this Professional Certificate?
How can I access job opportunities with IBM and other organizations after completing this Professional Certificate?
Mais dúvidas? Visite o Central de Ajuda ao estudante.
