Machine Learning with Python and TensorFlow, BI techniques using Siebel and BIP, Gain hands-on in diverse projects
InstructorEDUCBA Bridging the Gap
Coupon
The curriculum integrates multiple languages and platforms, including Python, R, PySpark, and AWS Machine Learning.
Dedicated sections provide hands-on experience in domains such as shipping estimation, supply chain trends, and fraud detection.
Editorial course preview
This view highlights a concrete, legible example from the course presentation.
The laptop screen displays the course dashboard for Module 1, featuring organized lesson cards for Excel and Machine Learning alongside interactive quiz modules.
One signal from 2019 suggests issues with audio quality and transcript typos; while the course has a more recent update label, it does not prove these specific instructional polish concerns were resolved.
Historical feedback from 2018 and 2019 indicates a lack of provided datasets or resource files; the current update label does not confirm if these materials are now available.
The course aligns well with beginners across various roles, though some learners noted a mismatch in language focus for specific projects.