Tag: Data

Top Data Scientist


Free Download Top Data Scientist
Published 5/2024
Created by Nancy Ticharwa
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 50 Lectures ( 3h 11m ) | Size: 1.43 GB

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The Data Science of Economics, Banking, and Finance


Free Download The Data Science of Economics, Banking, and Finance
Released: 05/2024
Duration: 1h 30m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 208 MB
Level: General | Genre: eLearning | Language: English
In this course, Barton Poulson-professor, consultant, entrepreneur, and data expert-presents a fresh, approachable view of how data science can be applied to the finance world, along with an insightful evaluation of the challenges that have occurred and potential solutions. Learn more about data science and how you can develop your skills in finance. Get an introduction to a number of possibilities, challenges, and solutions. Plus, explore social media and non-professional engagement with financial topics, including sections on AI, LLMs, ChatGPT, social media financial influences, and social payment apps.

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Low Code No-Code Data Literacy with KNIME From Basic to Advanced


Free Download Low Code No-Code Data Literacy with KNIME From Basic to Advanced
Released 5/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 2h 18m | Size: 298 MB
Low-code/no-code data analytics tools have been instrumental in enabling the transition from manual, code-heavy, and resource-intensive environments to an automated, scalable, and insights-driven focus. Instead of commands, low-code/no-code platforms have built-in functionality that enables users to start creating data science applications via a drag-and-drop interface. In contrast to coding approaches, low-code/no-code technologies offer an opportunity for users to concentrate on data science and less on the lines of code. The intuitive visual environment also enables business users with less technical skills to build and consume applications. In this course, learn how to use KNIME Analytics Platform to access, blend, analyze and visualize data in a low-code/no-code environment. For anyone who works with data, this course can take your data literacy to the next level by learning how to use a tool that makes sophisticated data analytics accessible to non-technical people.

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Intro To Data Engineering


Free Download Intro To Data Engineering
Published 5/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.39 GB | Duration: 3h 39m
Get an Introduction to the Data Engineering and Explore the Career Opportunities It Offers

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