Programa de cursos integrados Introduction to Data Science

Launch your career in Data Science. Data Science skills to prepare for a career or further advanced learning in Data Science.

Sobre esse Programa de cursos integrados

In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge. Upon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations. LIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.

Desenvolvido por:

4 courses

Siga a ordem sugerida ou escolha a sua própria.

Projetos

Projetado para ajudar a praticar e aplicar as habilidades que aprendeu.

Certificados

Dê destaque às suas novas habilidades em seu currículo ou no seu perfil do LinkedIn.

Visão Geral dos Projetos

Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge. You will utilize tools like Jupyter, Zeppelin, R Studio and Watson Studio. You will also work with real-world data sets and query them using SQL from Jupyter notebooks.

Cursos

Beginner Specialization.: No prior experience required.

CURSO 1
What is Data Science?
Compromisso
3 weeks of study, 2-3 hours/week
Legendas
Inglês, Árabe
Sobre o curso
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. Sinc
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CURSO 2
Open Source tools for Data Science
Compromisso
3 weeks of study, 2-3 hours/week
Legendas
Inglês
Sobre o curso
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, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool
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CURSO 3
Data Science Methodology
Compromisso
3 weeks of study, 2 - 3 hours/week
Legendas
Inglês
Sobre o curso
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
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CURSO 4
Databases and SQL for Data Science
Compromisso
3-4 weeks of study, 2-4 hours/week.
Legendas
Inglês
Sobre o curso
Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to b
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Desenvolvedores

Making Smarter Real Industry by Industry
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.