| 0. Websites you may like | |||
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| 2. FTUApps.com Download Cracked Developers Applications For Free.url | 239 B | ||
| 01 - Introduction | |||
| 01 - Welcome to the course.en.srt | 873 B | ||
| 01 - Welcome to the course.mp4 | 1.79 MB | ||
| 02 - What you should know.en.srt | 1.89 KB | ||
| 02 - What you should know.mp4 | 2.02 MB | ||
| 03 - CoderPad tour.en.srt | 2.62 KB | ||
| 03 - CoderPad tour.mp4 | 4.71 MB | ||
| 02 - 1. Python Basics | |||
| 04 - Introduction to Python and data engineering.en.srt | 3.88 KB | ||
| 04 - Introduction to Python and data engineering.mp4 | 7.15 MB | ||
| 05 - Setting up your Python environment.en.srt | 3.54 KB | ||
| 05 - Setting up your Python environment.mp4 | 6.41 MB | ||
| 06 - Explore a Google Colab worksheet.en.srt | 5.73 KB | ||
| 06 - Explore a Google Colab worksheet.mp4 | 9.88 MB | ||
| 07 - Variables and data types.en.srt | 7.38 KB | ||
| 07 - Variables and data types.mp4 | 10.34 MB | ||
| 08 - Operators and expressions.en.srt | 8.04 KB | ||
| 08 - Operators and expressions.mp4 | 14.35 MB | ||
| 09 - Control structures.en.srt | 8.38 KB | ||
| 09 - Control structures.mp4 | 11.77 MB | ||
| 10 - Functions.en.srt | 8.13 KB | ||
| 10 - Functions.mp4 | 13.3 MB | ||
| 11 - Modules and packages.en.srt | 6.34 KB | ||
| 11 - Modules and packages.mp4 | 11.44 MB | ||
| 12 - String manipulation.en.srt | 9.53 KB | ||
| 12 - String manipulation.mp4 | 17.48 MB | ||
| 13 - Error handling.en.srt | 6.31 KB | ||
| 13 - Error handling.mp4 | 11.88 MB | ||
| 14 - Solution： Conditions.en.srt | 1.73 KB | ||
| 14 - Solution： Conditions.mp4 | 3.29 MB | ||
| 03 - 2. Python Collections | |||
| 15 - Collection overview.en.srt | 2.72 KB | ||
| 15 - Collection overview.mp4 | 4.91 MB | ||
| 16 - Python collections： Tuples.en.srt | 6.94 KB | ||
| 16 - Python collections： Tuples.mp4 | 12.8 MB | ||
| 17 - Python collections： Lists.en.srt | 6.11 KB | ||
| 17 - Python collections： Lists.mp4 | 13.08 MB | ||
| 18 - Python collections： Sets.en.srt | 4.95 KB | ||
| 18 - Python collections： Sets.mp4 | 10.72 MB | ||
| 19 - Python collections： Dictionaries.en.srt | 8.18 KB | ||
| 19 - Python collections： Dictionaries.mp4 | 18.36 MB | ||
| 20 - Solution： Collections.en.srt | 1.42 KB | ||
| 20 - Solution： Collections.mp4 | 2.35 MB | ||
| 04 - 3. Python File Handling | |||
| 21 - File I⧸O overview.en.srt | 2.72 KB | ||
| 21 - File I⧸O overview.mp4 | 6.06 MB | ||
| 22 - Working with CSV files.en.srt | 6.75 KB | ||
| 22 - Working with CSV files.mp4 | 19.7 MB | ||
| 23 - Working with JSON files.en.srt | 6.23 KB | ||
| 23 - Working with JSON files.mp4 | 12.7 MB | ||
| 24 - Solution： File handling.en.srt | 3.28 KB | ||
| 24 - Solution： File handling.mp4 | 5.97 MB | ||
| 05 - 4. pandas DataFrame API | |||
| 25 - Introduction to pandas.en.srt | 3.9 KB | ||
| 25 - Introduction to pandas.mp4 | 8.06 MB | ||
| 26 - Read files as DataFrames.en.srt | 7.2 KB | ||
| 26 - Read files as DataFrames.mp4 | 18.61 MB | ||
| 27 - Data cleaning and preprocessing.en.srt | 7.66 KB | ||
| 27 - Data cleaning and preprocessing.mp4 | 23.93 MB | ||
| 28 - Data manipulation and aggregation.en.srt | 6.73 KB | ||
| 28 - Data manipulation and aggregation.mp4 | 16.27 MB | ||
| 29 - Data visualization.en.srt | 6.06 KB | ||
| 29 - Data visualization.mp4 | 15.38 MB | ||
| 30 - Write DataFrames as files.en.srt | 4.15 KB | ||
| 30 - Write DataFrames as files.mp4 | 11.71 MB | ||
| 31 - Solution： pandas.en.srt | 2.12 KB | ||
| 31 - Solution： pandas.mp4 | 3.85 MB | ||
| 06 - 5. NumPy | |||
| 32 - Introduction to NumPy.en.srt | 3.87 KB | ||
| 32 - Introduction to NumPy.mp4 | 8 MB | ||
| 33 - Array creation and attributes.en.srt | 7.01 KB | ||
| 33 - Array creation and attributes.mp4 | 13.7 MB | ||
| 34 - Array operations.en.srt | 8.41 KB | ||
| 34 - Array operations.mp4 | 14.68 MB | ||
| 35 - Indexing and slicing.en.srt | 10.06 KB | ||
| 35 - Indexing and slicing.mp4 | 16.97 MB | ||
| 36 - Linear algebra and statistics.en.srt | 7.08 KB | ||
| 36 - Linear algebra and statistics.mp4 | 11.74 MB | ||
| 37 - Write DataFrames as files.en.srt | 5.53 KB | ||
| 37 - Write DataFrames as files.mp4 | 10.71 MB | ||
| 38 - Solution： NumPy.en.srt | 2.03 KB | ||
| 38 - Solution： NumPy.mp4 | 3.72 MB | ||
| 07 - 6. OOP with Python | |||
| 39 - Understanding classes and objects.en.srt | 2.32 KB | ||
| 39 - Understanding classes and objects.mp4 | 4.52 MB | ||
| 40 - Implementation： Classes and objects in Python.en.srt | 4.46 KB | ||
| 40 - Implementation： Classes and objects in Python.mp4 | 9.52 MB | ||
| 41 - Understand OOP features： Abstraction, inheritance, and more.en.srt | 3.67 KB | ||
| 41 - Understand OOP features： Abstraction, inheritance, and more.mp4 | 5.7 MB | ||
| 42 - Solution： OOP.en.srt | 3.78 KB | ||
| 42 - Solution： OOP.mp4 | 6.6 MB | ||
| 08 - 7. Advanced Data Engineering | |||
| 43 - Tips to write efficient Python code.en.srt | 4.78 KB | ||
| 43 - Tips to write efficient Python code.mp4 | 5.71 MB | ||
| 44 - What is ETL in the data engineering world？.en.srt | 4.43 KB | ||
| 44 - What is ETL in the data engineering world？.mp4 | 6.25 MB | ||
| 45 - What is Hadoop？.en.srt | 3.6 KB | ||
| 45 - What is Hadoop？.mp4 | 4.27 MB | ||
| 46 - Understand PySpark for data engineering.en.srt | 4.51 KB | ||
| 46 - Understand PySpark for data engineering.mp4 | 5.98 MB | ||
| 47 - Importance of visualization tools in DE.en.srt | 4.59 KB | ||
| 47 - Importance of visualization tools in DE.mp4 | 8.74 MB | ||
| 48 - On-prem vs. cloud data engineering.en.srt | 4.59 KB | ||
| 48 - On-prem vs. cloud data engineering.mp4 | 5.07 MB | ||
| 09 - 8. Capstone Project | |||
| 49 - Capstone project： Retail sales analysis.en.srt | 4.18 KB | ||
| 49 - Capstone project： Retail sales analysis.mp4 | 6.09 MB | ||
| 50 - Solution： Capstone project.en.srt | 20.52 KB | ||
| 50 - Solution： Capstone project.mp4 | 50.64 MB | ||
| 10 - Conclusion | |||
| 51 - Next steps.en.srt | 1.21 KB | ||
| 51 - Next steps.mp4 | 1.76 MB | ||
| Ex_Files_Python_Data_Eng_Beginner_to_Advanced.zip | 442.55 KB | ||
| FreeCoursesOnline.me Download Udacity, Masterclass, Lynda, PHLearn, etc Free.url | 290 B | ||
| Support Us.txt | 185 B |
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Linkedin - Python for Data Engineering: from Beginner to Advanced [FCO]
About
Get up and running with the basics of Python before progressing to more advanced topics specific to data engineering. In this hands-on, interactive course, join instructor Deepak Goyal to practice performing a wide range of data engineering tasks in Python to boost your technical know-how, prepare for an interview, or land a new role. This course includes Code Challenges powered by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can get hands-on coding practice to advance your coding skills. Deepak helps you boost your skills as a Python programmer with six specific coding challenges. Explore language basics, Python collections, file handling, Pandas, NumPy, OOP, and advanced data engineering tools that use Python. The course ends with a capstone project focused on retail sales analysis.
Skills you’ll gain
• Data Engineering
• Python (Programming Language)
What’s included
• Practice while you learn
- 1 exercise file
• Test your knowledge
- 7 quizzes
Instructor(s):
Hi, I'm Deepak Goyal, a certified Big data, and Azure Cloud Solution…
Media Information:
MP4 | Video: h264, 1920x1080p | Audio: AAC, 44.100 KHz, 2 Ch
Genre: eLearning | Language: English + SRT | Released: 1/30/2024 | Duration: 51 Lessons ( 3h 51m 7s ) | Author: Deepak Goyal
Course Source: https://www.linkedin.com/learning/python-for-data-engineering-from-beginner-to-advanced
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[LinkedIn Learning] Advance Your Skills in Python - Complete 7 Courses Posted by
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