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My next data analysis training starts on Monday
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Data Engineering free courses
Linked Data Engineering
🎬 Video Lessons
Rating ⭐️: 5 out of 5
Students 👨🎓: 9,973
Duration ⏰: 8 weeks long
Source: openHPI
🔗 https://t.co/otX44YpkL7
Data Engineering Essentials using Spark, Python and SQL
🎬 402 video lesson
🏃♂️ Self paced
Teacher: itversity
Resource: Youtube
🔗 https://t.co/JEbmLDSaGp
Data engineering with Azure Databricks
Modules ⏳: 5
Duration ⏰: 4-5 hours worth of material
🏃♂️ Self paced
Source: Microsoft ignite
🔗 https://t.co/51OrNbt5A0
Perform data engineering with Azure Synapse Apache Spark Pools
Modules ⏳: 5
Duration ⏰: 2-3 hours worth of material
🏃♂️ Self paced
Source: Microsoft Learn
🔗 https://t.co/MmZXpzHXmQ
📱 Python enthusiasts, this is for you: 15 BEST REPOSITORIES on GitHub for learning Python
▶️ Awesome Python — https://t.co/AUJ5cYHN41
— the largest and most authoritative collection of frameworks, libraries, and resources for Python — a must-save
▶️ TheAlgorithms/Python — https://t.co/xvraBBrbdd
— a huge collection of algorithms and data structures written in Python
▶️ Project-Based-Learning — https://t.co/Ctoj6qGRBD
— learning Python (and not only) through real projects
▶️ Real Python Guide — https://t.co/6o1gZO2KQp
— a high-quality guide to the Python ecosystem, tools, and best practices
▶️ Materials from Real Python — https://t.co/BhqqJLZeNl
— a collection of code and projects for Real Python articles and courses
▶️ Learn Python — https://t.co/LnxUo7GSK5
— a reference with explanations, examples, and exercises
▶️ Learn Python 3 — https://t.co/mXho8x140r
— a convenient guide to modern Python 3 with tasks
▶️ Python Reference — https://t.co/lQYbqlJqhF
— cheat sheets, scripts, and useful tips from one of the most respected Python authors
▶️ 30-Days-Of-Python — https://t.co/KzhzrK3Ss5
— a 30-day challenge: from syntax to more complex topics
▶️ Python Programming Exercises — https://t.co/f9CoDxZkjg
— 100+ Python tasks with answers
▶️ Coding Problems — https://t.co/ZbJJd4DK47
— tasks on algorithms and data structures, including for preparation for interviews
▶️ Projects — https://t.co/ca6ZcJTEcw
— a list of ideas for pet projects (not just Python). Great for practice
▶️ 100-Days-Of-ML-Code — https://t.co/0KOmzZHfv7
— machine learning in Python in the format of a challenge
▶️ 30-Seconds-of-Python — https://t.co/9rsJ9fyPHf
— useful snippets and tricks for everyday tasks
▶️ Geekcomputers/Python — https://t.co/tXLt43muyK
— various scripts: from working with the network to automation tasks
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