[FreeCoursesOnline.Me] Linkedin - Python for Data Engineering： from Beginner to Advanced

Creation Time	March 29, 2024, 4:37 a.m.
Last Access Time	Jan. 19, 2026, 5:41 a.m.
File Size	531.4 MB
Keywords	FreeCoursesOnline Me from Beginner for Python - Linkedin to Engineering Data Advanced
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Total Files	107
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09 - 8. Capstone Project/50 - Solution： Capstone project.mp4 50.6 MB
05 - 4. pandas DataFrame API/27 - Data cleaning and preprocessing.mp4 23.9 MB
04 - 3. Python File Handling/22 - Working with CSV files.mp4 19.7 MB
05 - 4. pandas DataFrame API/26 - Read files as DataFrames.mp4 18.6 MB
03 - 2. Python Collections/19 - Python collections： Dictionaries.mp4 18.4 MB
02 - 1. Python Basics/12 - String manipulation.mp4 17.5 MB
06 - 5. NumPy/35 - Indexing and slicing.mp4 17.0 MB
05 - 4. pandas DataFrame API/28 - Data manipulation and aggregation.mp4 16.3 MB
05 - 4. pandas DataFrame API/29 - Data visualization.mp4 15.4 MB
06 - 5. NumPy/34 - Array operations.mp4 14.7 MB
02 - 1. Python Basics/08 - Operators and expressions.mp4 14.4 MB
06 - 5. NumPy/33 - Array creation and attributes.mp4 13.7 MB
02 - 1. Python Basics/10 - Functions.mp4 13.3 MB
03 - 2. Python Collections/17 - Python collections： Lists.mp4 13.1 MB
03 - 2. Python Collections/16 - Python collections： Tuples.mp4 12.8 MB
04 - 3. Python File Handling/23 - Working with JSON files.mp4 12.7 MB
02 - 1. Python Basics/13 - Error handling.mp4 11.9 MB
02 - 1. Python Basics/09 - Control structures.mp4 11.8 MB
06 - 5. NumPy/36 - Linear algebra and statistics.mp4 11.7 MB
05 - 4. pandas DataFrame API/30 - Write DataFrames as files.mp4 11.7 MB
02 - 1. Python Basics/11 - Modules and packages.mp4 11.4 MB
03 - 2. Python Collections/18 - Python collections： Sets.mp4 10.7 MB
06 - 5. NumPy/37 - Write DataFrames as files.mp4 10.7 MB
02 - 1. Python Basics/07 - Variables and data types.mp4 10.3 MB
02 - 1. Python Basics/06 - Explore a Google Colab worksheet.mp4 9.9 MB
07 - 6. OOP with Python/40 - Implementation： Classes and objects in Python.mp4 9.5 MB
08 - 7. Advanced Data Engineering/47 - Importance of visualization tools in DE.mp4 8.7 MB
05 - 4. pandas DataFrame API/25 - Introduction to pandas.mp4 8.1 MB
06 - 5. NumPy/32 - Introduction to NumPy.mp4 8.0 MB
02 - 1. Python Basics/04 - Introduction to Python and data engineering.mp4 7.1 MB
07 - 6. OOP with Python/42 - Solution： OOP.mp4 6.6 MB
02 - 1. Python Basics/05 - Setting up your Python environment.mp4 6.4 MB
08 - 7. Advanced Data Engineering/44 - What is ETL in the data engineering world？.mp4 6.2 MB
09 - 8. Capstone Project/49 - Capstone project： Retail sales analysis.mp4 6.1 MB
04 - 3. Python File Handling/21 - File I⧸O overview.mp4 6.1 MB
08 - 7. Advanced Data Engineering/46 - Understand PySpark for data engineering.mp4 6.0 MB
04 - 3. Python File Handling/24 - Solution： File handling.mp4 6.0 MB
08 - 7. Advanced Data Engineering/43 - Tips to write efficient Python code.mp4 5.7 MB
07 - 6. OOP with Python/41 - Understand OOP features： Abstraction, inheritance, and more.mp4 5.7 MB
08 - 7. Advanced Data Engineering/48 - On-prem vs. cloud data engineering.mp4 5.1 MB
03 - 2. Python Collections/15 - Collection overview.mp4 4.9 MB
01 - Introduction/03 - CoderPad tour.mp4 4.7 MB
07 - 6. OOP with Python/39 - Understanding classes and objects.mp4 4.5 MB
08 - 7. Advanced Data Engineering/45 - What is Hadoop？.mp4 4.3 MB
05 - 4. pandas DataFrame API/31 - Solution： pandas.mp4 3.9 MB
06 - 5. NumPy/38 - Solution： NumPy.mp4 3.7 MB
02 - 1. Python Basics/14 - Solution： Conditions.mp4 3.3 MB
03 - 2. Python Collections/20 - Solution： Collections.mp4 2.4 MB
01 - Introduction/02 - What you should know.mp4 2.0 MB
01 - Introduction/01 - Welcome to the course.mp4 1.8 MB
10 - Conclusion/51 - Next steps.mp4 1.8 MB
Ex_Files_Python_Data_Eng_Beginner_to_Advanced.zip 442.6 KB
09 - 8. Capstone Project/50 - Solution： Capstone project.en.srt 20.5 KB
06 - 5. NumPy/35 - Indexing and slicing.en.srt 10.1 KB
02 - 1. Python Basics/12 - String manipulation.en.srt 9.5 KB
06 - 5. NumPy/34 - Array operations.en.srt 8.4 KB
02 - 1. Python Basics/09 - Control structures.en.srt 8.4 KB
03 - 2. Python Collections/19 - Python collections： Dictionaries.en.srt 8.2 KB
02 - 1. Python Basics/10 - Functions.en.srt 8.1 KB
02 - 1. Python Basics/08 - Operators and expressions.en.srt 8.0 KB
05 - 4. pandas DataFrame API/27 - Data cleaning and preprocessing.en.srt 7.7 KB
02 - 1. Python Basics/07 - Variables and data types.en.srt 7.4 KB
05 - 4. pandas DataFrame API/26 - Read files as DataFrames.en.srt 7.2 KB
06 - 5. NumPy/36 - Linear algebra and statistics.en.srt 7.1 KB
06 - 5. NumPy/33 - Array creation and attributes.en.srt 7.0 KB
03 - 2. Python Collections/16 - Python collections： Tuples.en.srt 6.9 KB
04 - 3. Python File Handling/22 - Working with CSV files.en.srt 6.7 KB
05 - 4. pandas DataFrame API/28 - Data manipulation and aggregation.en.srt 6.7 KB
02 - 1. Python Basics/11 - Modules and packages.en.srt 6.3 KB
02 - 1. Python Basics/13 - Error handling.en.srt 6.3 KB
04 - 3. Python File Handling/23 - Working with JSON files.en.srt 6.2 KB
03 - 2. Python Collections/17 - Python collections： Lists.en.srt 6.1 KB
05 - 4. pandas DataFrame API/29 - Data visualization.en.srt 6.1 KB
02 - 1. Python Basics/06 - Explore a Google Colab worksheet.en.srt 5.7 KB
06 - 5. NumPy/37 - Write DataFrames as files.en.srt 5.5 KB
03 - 2. Python Collections/18 - Python collections： Sets.en.srt 4.9 KB
08 - 7. Advanced Data Engineering/43 - Tips to write efficient Python code.en.srt 4.8 KB
08 - 7. Advanced Data Engineering/47 - Importance of visualization tools in DE.en.srt 4.6 KB
08 - 7. Advanced Data Engineering/48 - On-prem vs. cloud data engineering.en.srt 4.6 KB
08 - 7. Advanced Data Engineering/46 - Understand PySpark for data engineering.en.srt 4.5 KB
07 - 6. OOP with Python/40 - Implementation： Classes and objects in Python.en.srt 4.5 KB
08 - 7. Advanced Data Engineering/44 - What is ETL in the data engineering world？.en.srt 4.4 KB
09 - 8. Capstone Project/49 - Capstone project： Retail sales analysis.en.srt 4.2 KB
05 - 4. pandas DataFrame API/30 - Write DataFrames as files.en.srt 4.2 KB
05 - 4. pandas DataFrame API/25 - Introduction to pandas.en.srt 3.9 KB
02 - 1. Python Basics/04 - Introduction to Python and data engineering.en.srt 3.9 KB
06 - 5. NumPy/32 - Introduction to NumPy.en.srt 3.9 KB
07 - 6. OOP with Python/42 - Solution： OOP.en.srt 3.8 KB
07 - 6. OOP with Python/41 - Understand OOP features： Abstraction, inheritance, and more.en.srt 3.7 KB
08 - 7. Advanced Data Engineering/45 - What is Hadoop？.en.srt 3.6 KB
02 - 1. Python Basics/05 - Setting up your Python environment.en.srt 3.5 KB
04 - 3. Python File Handling/24 - Solution： File handling.en.srt 3.3 KB
04 - 3. Python File Handling/21 - File I⧸O overview.en.srt 2.7 KB
03 - 2. Python Collections/15 - Collection overview.en.srt 2.7 KB
01 - Introduction/03 - CoderPad tour.en.srt 2.6 KB
07 - 6. OOP with Python/39 - Understanding classes and objects.en.srt 2.3 KB
05 - 4. pandas DataFrame API/31 - Solution： pandas.en.srt 2.1 KB
06 - 5. NumPy/38 - Solution： NumPy.en.srt 2.0 KB
01 - Introduction/02 - What you should know.en.srt 1.9 KB
02 - 1. Python Basics/14 - Solution： Conditions.en.srt 1.7 KB
03 - 2. Python Collections/20 - Solution： Collections.en.srt 1.4 KB
10 - Conclusion/51 - Next steps.en.srt 1.2 KB
01 - Introduction/01 - Welcome to the course.en.srt 873 bytes
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[FreeCoursesOnline.Me] Linkedin - Python for Data Engineering： from Beginner to Advanced

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