Programa Especializado - Applied Data Science

Get hands-on skills for a Career in Data Science. Learn Python, analyze and visualize data. Apply your skills to data science and machine learning.

Sobre este Programa Especializado

This is an action-packed specialization is for data science enthusiasts who want to acquire practical skills for real world data problems. It appeals to anyone interested in pursuing a career in Data Science, and already has foundational skills (or has completed the Introduction to Applied Data Science specialization). You will learn Python - no prior programming knowledge necessary. You will then learn data visualization and data analysis. Through our guided lectures, labs, and projects you’ll get hands-on experience tackling interesting data problems. Make sure to take this specialization to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning. Upon completing all courses in the specialization and receiving the Specialization certificate, you will also receive an IBM Badge recognizing you as a Specialist in Applied Data Science. LIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.

Creada por:

4 courses

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Proyectos

Diseñado para ayudarte a practicar y aplicar las habilidades que aprendiste.

Certificados

Resalta tus nuevas habilidades en tu currículum o LinkedIn.

Descripción general de los proyectos

You will complete hands-on labs and projects to apply and demonstrate your newly acquired skills and knowledge. For example the Python course includes a project to create a random album generator. The specialization Capstone involves a Battle of Neighborhoods using geospatial data and building a machine learning model.

Cursos

Beginner Specialization.: No prior experience required.

CURSO 1
Python for Data Science
Subtítulos
English, German
Acerca del Curso
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. Module 1 - Python Basics o
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CURSO 2
Data Analysis with Python
Dedicación
This course requires approximately two hours a week for six weeks
Subtítulos
English
Acerca del Curso
Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful
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CURSO 3
Data Visualization with Python
Dedicación
3 weeks of study, 4-5 hours/week
Subtítulos
English
Acerca del Curso
"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role i
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CURSO 4
Applied Data Science Capstone
Dedicación
5 weeks of study, 6-7 hours/week
Subtítulos
English
Acerca del Curso
This capstone project course will give you a taste of what data scientists go through in real life when working with data. You will learn about location data and different location data providers, such as Foursquare. You will learn how to make RESTfu
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Creadores

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.