Search result for Data science certification from ibm Online Courses & Certifications
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SQL Concepts for Data Engineers
by Rav Ahuja- 0.0
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1 Weeks
This course builds on your existing SQL knowledge to learn about additional techniques that are key to Data Engineers. Finally, you will learn how to use different types of joins to accurately retrieve related data from multiple tables. PRE-REQUISITE: This course is intended as a follow on to SQL for Data Science course from IBM....
$99
Visualizing Data with Python
by Joseph Santarcangelo , Saishruthi Swaminathan , Alex Aklson- 0.0
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5 Weeks
Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general. In Watson Studio, you’ll be able to start creating your own data science projects and collaborating with other data scientists. How to create maps and visualize geospatial data...
$99
IBM Applied AI Professional Certificate
- 0.0
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You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in applied AI....
Applied AI with DeepLearning
by Romeo Kienzler , Niketan Pansare , Tom Hanlon , Max Pumperla , Ilja Rasin- 4.4
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Approx. 24 hours to complete
This course, Applied Artificial Intelligence with DeepLearning, is part of the IBM Advanced Data Science Certificate which IBM is currently creating and gives you easy access to the invaluable insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines. A warm welcome from John Cohn, IBM Fellow Watson IoT...
SQL Concepts for Data Engineers
by Rav Ahuja- 0.0
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1 Weeks
This course builds on your existing SQL knowledge to learn about additional techniques that are key to Data Engineers. Finally, you will learn how to use different types of joins to accurately retrieve related data from multiple tables. PRE-REQUISITE: This course is intended as a follow on to SQL for Data Science course from IBM....
$99
Databases and SQL for Data Science with Python
by Rav Ahuja , Hima Vasudevan- 4.7
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Approx. 18 hours to complete
SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. It is also intended to get you started with performing SQL access in a data science environment. As such, you will work with real databases, real data science tools, and real-world datasets. Welcome to SQL for Data Science...
SQL for Data Science
by Rav Ahuja- 0.0
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4 Weeks
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and extracting various data types from databases....
$99
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Visualizing Data with R
by Saishruthi Swaminathan , Gabriela de Queiroz , Tiffany Zhu , Yiwen Li- 0.0
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4 Weeks
Enroll in the course, watch the videos, work through the labs, and then watch your data science skills grow! If you do not have these skills, it is highly recommended that you first take the Introduction to R Programming for Data Science as well as the Data Analysis with R courses from IBM prior to starting this course....
$99
Visualizing Data with Python
by Alex Aklson- 0.0
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5 Weeks
Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general. In Watson Studio, you’ll be able to start creating your own data science projects and collaborating with other data scientists. How to create maps and visualize geospatial data...
$99
Big Data, Artificial Intelligence, and Ethics
by Martin Hilbert- 4.6
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Approx. 12 hours to complete
This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. Data is the fuel, but machine learning it the motor to extract remarkable new knowledge from vasts amounts of data. Big Data Overview A Note From UC Davis...
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