The digital learning ecosystem An efficient management approach to capability development, delivering smarter teams, improved productivity and better business outcome for the managers.
Bridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
Industry and client recognition
Best Outreach Program Finalist: WorldOil Awards
Overall Customer Satisfaction Score
Training provider of the year: 2013, 14 and 15
Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
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Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
Develop measurable skills and capabilities
A five-day, lecture and hands-on lab course for people who have completed the Intro to Python course, people who have completed the Intro to Python for Non-Programmers: Parts 1 & 2 course sequence, or people with equivalent Python programming experience.
Intended for Python programmers and based on the innovative textbook Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud (https://deitel.com/IntroToPythonContentsDiagram) by Paul Deitel and Harvey Deitel, this course provides a code-intensive introduction to some of today’s most compelling, leading-edge data science, AI and big data computing technologies, with cool examples on natural language processing, data visualization, data mining Twitter® for sentiment analysis, cognitive computing with IBM® Watson™, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning with a convolutional neural network, sentiment analysis through deep learning with a recurrent neural network, and big data with Spark™ streaming, NoSQL databases and the Internet of Things (IoT).
Attendees leverage key, open-source, Python data-science libraries, Python AI libraries and infrastructure platforms to maximize productivity, quickly creating powerful applications with minimal code. The course offers extensive hands-on lab coding practice. Deitel LabAssist notes provide hints for each hands-on lab, enabling you to work through many labs efficiently.
Paul Deitel, CEO and Chief Technical Officer of Deitel & Associates, Inc., is an MIT graduate with 40 years in computing. He is one of the world’s most experienced programming-languages trainers, having taught hundreds of instructor-present and virtual courses worldwide (based on his Pearson Education programming-language college textbooks and professional books) to software developers of all skill levels since 1992. He is a top author on O’Reilly Online Learning where his Python Fundamentals LiveLessons, Java Fundamentals LiveLessons and C# Fundamentals LiveLessons 50+ hour asynchronous video courses have ranked #1 eight of the last 12 years among 6,000 video products from 200+ publishers. Thousands of users have viewed his asynchronous streaming Python Fundamentals LiveLessons videos for over 10.5 million contact minutes. 10,000+ students have attended his live (synchronous), one-day, code-intensive Python Full Throttle and Python Data Science Full Throttle courses for over 2.7 million live contact minutes.
Together, he and his co-author, Dr. Harvey M. Deitel, are among the world’s best-selling programming-language textbook, professional book, video and interactive multimedia e-learning authors, having written 100+ Pearson Education/Prentice Hall college textbooks and professional books on Python, Java, C++, C, C#, Internet/Web, Android, iOS, Swift, Visual Basic and more. Their books have 100+ translations into Italian, Japanese, German, Russian, Spanish, French, Polish, Simplified Chinese, Traditional Chinese, Korean, Portuguese, Greek, Urdu and Turkish.
Deitel clients include some of the world’s largest companies, government agencies, branches of the military, and academic institutions—SLB, UCLA Anderson School of Management, Cisco, IBM, Siemens, Sun Microsystems (now Oracle), Dell, Fidelity, NASA at the Kennedy Space Center, White Sands Missile Range, the National Oceanic and Atmospheric Administration (NOAA), the National Severe Storm Laboratory, Rogue Wave Software, Boeing, Puma, iRobot and many more.
Natural Language Processing
Data Mining Twitter
IBM Watson and Cognitive Computing
Machine Learning with scikit-learn
Deep Learning
Big Data: Relational Databases
Big Data: NoSQL
Big Data: Apache Spark and the pyspark Library
Big Data: Internet of Things (IoT) and Dashboards
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