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Title: GitHub - codin-eric/Data-Engineering-Roadmap: Roadmap for Data Engineering · GitHub

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Description: Roadmap for Data Engineering. Contribute to codin-eric/Data-Engineering-Roadmap development by creating an account on GitHub.

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X Description: Roadmap for Data Engineering. Contribute to codin-eric/Data-Engineering-Roadmap development by creating an account on GitHub.

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https://github.com/codin-eric/Data-Engineering-Roadmap#learn-linux
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Linux Command Line and Shell Scripting Bible, 4th Edition from Richard Blum, Christine Bresnahanhttps://www.wiley.com/en-gb/Linux+Command+Line+and+Shell+Scripting+Bible%2C+4th+Edition-p-9781119700937
https://github.com/codin-eric/Data-Engineering-Roadmap#data-structures-and-algorithms--system-design
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https://github.com/codin-eric/Data-Engineering-Roadmap#booktutorial-format-some-interactive
SQL Problems and Solutions – Interactive bookhttp://www.sql-tutorial.ru/
Learn SQL The Hard Wayhttp://sql.learncodethehardway.org/
GalaXQLhttp://sourceforge.net/projects/galaxql/
PostgreSQL Tutorialhttp://www.postgresqltutorial.com/
Head First SQLhttp://www.headfirstlabs.com/books/hfsql/
https://github.com/codin-eric/Data-Engineering-Roadmap#practice-resources
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SqlExhttp://www.sql-ex.ru/
SQLZoohttp://sqlzoo.net/wiki/Main_Page
PostgreSQL Exerciseshttp://pgexercises.com/index.html
https://github.com/codin-eric/Data-Engineering-Roadmap#testing
Agile Testing: A Practical Guide for Testers and Agile Teamshttps://www.amazon.com/Agile-Testing-Practical-Guide-Testers/dp/0321534468
The Art of Software Testinghttps://www.amazon.com/Art-Software-Testing-Glenford-Myers/dp/1118031962
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https://github.com/codin-eric/Data-Engineering-Roadmap#non-relational-databases
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Azure CosmosDBhttps://learn.microsoft.com/en-us/azure/cosmos-db/
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https://github.com/codin-eric/Data-Engineering-Roadmap#data-processing
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https://github.com/codin-eric/Data-Engineering-Roadmap#monitoring-datapipelines
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Introduction to Data Science with Rhttps://www.youtube.com/watch?v=32o0DnuRjfg&list=PLTJTBoU5HOCRrTs3cJK-PbHM39cwCU0PF&index=1
Machine Learning Algorithms from Scratchhttps://github.com/python-engineer/MLfromscratch
Python for Data Science: Fundamentalshttps://www.dataquest.io/course/python-for-data-science-fundamentals
Python for Data Science: Intermediatehttps://www.dataquest.io/course/python-for-data-science-intermediate/
https://github.com/codin-eric/Data-Engineering-Roadmap#machine-learning-resources
Google's Machine Learning Crash Coursehttps://developers.google.com/machine-learning/crash-course/
Andrew Ng's Machine Learning Coursera Coursehttps://www.coursera.org/learn/machine-learning
Intro to Machine Learninghttps://www.kaggle.com/learn/intro-to-machine-learning
Intermediate Machine Learninghttps://www.kaggle.com/learn/intermediate-machine-learning
Understanding Machine Learning: From Theory to Algorithmshttps://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/copy.html
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freecodecamp's courses for machine learninghttps://www.freecodecamp.org/learn/
A quick review of the linear algebra concepts relevant to machine learning.http://www.deeplearningbook.org/contents/linear_algebra.html
Calculushttp://cs231n.stanford.edu/handouts/derivatives.pdf
Statistical concepts for machine learninghttp://www-bcf.usc.edu/~gareth/ISL/
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Machine Learning Roadmap: A Step by Step Guidehttps://www.scaler.com/blog/machine-learning-roadmap/
TinyML Coursehttps://www.edx.org/professional-certificate/harvardx-tiny-machine-learning
Machine Learning Introduction with Pythonhttps://www.dataquest.io/path/machine-learning-intro-with-python/
Machine Learning Guide Podcasthttps://ocdevel.com/mlg
https://github.com/codin-eric/Data-Engineering-Roadmap#deep-learning-resources
Andrew Ng's Deep Learning Specializations Coursehttps://www.coursera.org/specializations/deep-learning
Convolutional networks CS231nhttps://cs231n.github.io/convolutional-networks/
Deep Learning Fundamentalshttps://www.dataquest.io/course/deep-learning-fundamentals/
Deep learning cheat sheethttps://stanford.edu/~shervine/teaching/cs-229/cheatsheet-deep-learning
Natural Language Processing CS224nhttp://web.stanford.edu/class/cs224n/
IBM Deep Learning Course with certificationhttps://cognitiveclass.ai/courses/introduction-deep-learning
https://github.com/codin-eric/Data-Engineering-Roadmap#mlops-tools
Tensorflow Extendedhttps://www.tensorflow.org/tfx
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