Linkedin | Python For Data Engineering From Beginner To Advanced [FCO]
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Lynda and other Courses >>> https://freecoursesonline.me/ Forum for discussion >>> https://onehack.us/ https://get.freecoursesonline.me/wp-content/uploads/2024/02/python-for-data.jpg 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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| 01 - Introduction/01 - Welcome to the course.en.srt | 873 B |
| 01 - Introduction/01 - Welcome to the course.mp4 | 1.79 MiB |
| 01 - Introduction/02 - What you should know.en.srt | 1.89 KiB |
| 01 - Introduction/02 - What you should know.mp4 | 2.02 MiB |
| 01 - Introduction/03 - CoderPad tour.en.srt | 2.62 KiB |
| 01 - Introduction/03 - CoderPad tour.mp4 | 4.71 MiB |
| 02 - 1. Python Basics/04 - Introduction to Python and data engineering.en.srt | 3.88 KiB |
| 02 - 1. Python Basics/04 - Introduction to Python and data engineering.mp4 | 7.15 MiB |
| 02 - 1. Python Basics/05 - Setting up your Python environment.en.srt | 3.54 KiB |
| 02 - 1. Python Basics/05 - Setting up your Python environment.mp4 | 6.41 MiB |
| 02 - 1. Python Basics/06 - Explore a Google Colab worksheet.en.srt | 5.73 KiB |
| 02 - 1. Python Basics/06 - Explore a Google Colab worksheet.mp4 | 9.88 MiB |
| 02 - 1. Python Basics/07 - Variables and data types.en.srt | 7.38 KiB |
| 02 - 1. Python Basics/07 - Variables and data types.mp4 | 10.34 MiB |
| 02 - 1. Python Basics/08 - Operators and expressions.en.srt | 8.04 KiB |
| 02 - 1. Python Basics/08 - Operators and expressions.mp4 | 14.35 MiB |
| 02 - 1. Python Basics/09 - Control structures.en.srt | 8.38 KiB |
| 02 - 1. Python Basics/09 - Control structures.mp4 | 11.77 MiB |
| 02 - 1. Python Basics/10 - Functions.en.srt | 8.13 KiB |
| 02 - 1. Python Basics/10 - Functions.mp4 | 13.3 MiB |
| 02 - 1. Python Basics/11 - Modules and packages.en.srt | 6.34 KiB |
| 02 - 1. Python Basics/11 - Modules and packages.mp4 | 11.44 MiB |
| 02 - 1. Python Basics/12 - String manipulation.en.srt | 9.53 KiB |
| 02 - 1. Python Basics/12 - String manipulation.mp4 | 17.48 MiB |
| 02 - 1. Python Basics/13 - Error handling.en.srt | 6.31 KiB |
| 02 - 1. Python Basics/13 - Error handling.mp4 | 11.88 MiB |
| 02 - 1. Python Basics/14 - Solution： Conditions.en.srt | 1.73 KiB |
| 02 - 1. Python Basics/14 - Solution： Conditions.mp4 | 3.29 MiB |
| 03 - 2. Python Collections/15 - Collection overview.en.srt | 2.72 KiB |
| 03 - 2. Python Collections/15 - Collection overview.mp4 | 4.91 MiB |
| 03 - 2. Python Collections/16 - Python collections： Tuples.en.srt | 6.94 KiB |
| 03 - 2. Python Collections/16 - Python collections： Tuples.mp4 | 12.8 MiB |
| 03 - 2. Python Collections/17 - Python collections： Lists.en.srt | 6.11 KiB |
| 03 - 2. Python Collections/17 - Python collections： Lists.mp4 | 13.08 MiB |
| 03 - 2. Python Collections/18 - Python collections： Sets.en.srt | 4.95 KiB |
| 03 - 2. Python Collections/18 - Python collections： Sets.mp4 | 10.72 MiB |
| 03 - 2. Python Collections/19 - Python collections： Dictionaries.en.srt | 8.18 KiB |
| 03 - 2. Python Collections/19 - Python collections： Dictionaries.mp4 | 18.36 MiB |
| 03 - 2. Python Collections/20 - Solution： Collections.en.srt | 1.42 KiB |
| 03 - 2. Python Collections/20 - Solution： Collections.mp4 | 2.35 MiB |
| 04 - 3. Python File Handling/21 - File I⧸O overview.en.srt | 2.72 KiB |
| 04 - 3. Python File Handling/21 - File I⧸O overview.mp4 | 6.06 MiB |
| 04 - 3. Python File Handling/22 - Working with CSV files.en.srt | 6.75 KiB |
| 04 - 3. Python File Handling/22 - Working with CSV files.mp4 | 19.7 MiB |
| 04 - 3. Python File Handling/23 - Working with JSON files.en.srt | 6.23 KiB |
| 04 - 3. Python File Handling/23 - Working with JSON files.mp4 | 12.7 MiB |
| 04 - 3. Python File Handling/24 - Solution： File handling.en.srt | 3.28 KiB |
| 04 - 3. Python File Handling/24 - Solution： File handling.mp4 | 5.97 MiB |
| 05 - 4. pandas DataFrame API/25 - Introduction to pandas.en.srt | 3.9 KiB |
| 05 - 4. pandas DataFrame API/25 - Introduction to pandas.mp4 | 8.06 MiB |
| 05 - 4. pandas DataFrame API/26 - Read files as DataFrames.en.srt | 7.2 KiB |
| 05 - 4. pandas DataFrame API/26 - Read files as DataFrames.mp4 | 18.61 MiB |
| 05 - 4. pandas DataFrame API/27 - Data cleaning and preprocessing.en.srt | 7.66 KiB |
| 05 - 4. pandas DataFrame API/27 - Data cleaning and preprocessing.mp4 | 23.93 MiB |
| 05 - 4. pandas DataFrame API/28 - Data manipulation and aggregation.en.srt | 6.73 KiB |
| 05 - 4. pandas DataFrame API/28 - Data manipulation and aggregation.mp4 | 16.27 MiB |
| 05 - 4. pandas DataFrame API/29 - Data visualization.en.srt | 6.06 KiB |
| 05 - 4. pandas DataFrame API/29 - Data visualization.mp4 | 15.38 MiB |
| 05 - 4. pandas DataFrame API/30 - Write DataFrames as files.en.srt | 4.15 KiB |
| 05 - 4. pandas DataFrame API/30 - Write DataFrames as files.mp4 | 11.71 MiB |
| 05 - 4. pandas DataFrame API/31 - Solution： pandas.en.srt | 2.12 KiB |
| 05 - 4. pandas DataFrame API/31 - Solution： pandas.mp4 | 3.85 MiB |
| 06 - 5. NumPy/32 - Introduction to NumPy.en.srt | 3.87 KiB |
| 06 - 5. NumPy/32 - Introduction to NumPy.mp4 | 8 MiB |
| 06 - 5. NumPy/33 - Array creation and attributes.en.srt | 7.01 KiB |
| 06 - 5. NumPy/33 - Array creation and attributes.mp4 | 13.7 MiB |
| 06 - 5. NumPy/34 - Array operations.en.srt | 8.41 KiB |
| 06 - 5. NumPy/34 - Array operations.mp4 | 14.68 MiB |
| 06 - 5. NumPy/35 - Indexing and slicing.en.srt | 10.06 KiB |
| 06 - 5. NumPy/35 - Indexing and slicing.mp4 | 16.97 MiB |
| 06 - 5. NumPy/36 - Linear algebra and statistics.en.srt | 7.08 KiB |
| 06 - 5. NumPy/36 - Linear algebra and statistics.mp4 | 11.74 MiB |
| 06 - 5. NumPy/37 - Write DataFrames as files.en.srt | 5.53 KiB |
| 06 - 5. NumPy/37 - Write DataFrames as files.mp4 | 10.71 MiB |
| 06 - 5. NumPy/38 - Solution： NumPy.en.srt | 2.03 KiB |
| 06 - 5. NumPy/38 - Solution： NumPy.mp4 | 3.72 MiB |
| 07 - 6. OOP with Python/39 - Understanding classes and objects.en.srt | 2.32 KiB |
| 07 - 6. OOP with Python/39 - Understanding classes and objects.mp4 | 4.52 MiB |
| 07 - 6. OOP with Python/40 - Implementation： Classes and objects in Python.en.srt | 4.46 KiB |
| 07 - 6. OOP with Python/40 - Implementation： Classes and objects in Python.mp4 | 9.52 MiB |
| 07 - 6. OOP with Python/41 - Understand OOP features： Abstraction, inheritance, and more.en.srt | 3.67 KiB |
| 07 - 6. OOP with Python/41 - Understand OOP features： Abstraction, inheritance, and more.mp4 | 5.7 MiB |
| 07 - 6. OOP with Python/42 - Solution： OOP.en.srt | 3.78 KiB |
| 07 - 6. OOP with Python/42 - Solution： OOP.mp4 | 6.6 MiB |
| 08 - 7. Advanced Data Engineering/43 - Tips to write efficient Python code.en.srt | 4.78 KiB |
| 08 - 7. Advanced Data Engineering/43 - Tips to write efficient Python code.mp4 | 5.71 MiB |
| 08 - 7. Advanced Data Engineering/44 - What is ETL in the data engineering world？.en.srt | 4.43 KiB |
| 08 - 7. Advanced Data Engineering/44 - What is ETL in the data engineering world？.mp4 | 6.25 MiB |
| 08 - 7. Advanced Data Engineering/45 - What is Hadoop？.en.srt | 3.6 KiB |
| 08 - 7. Advanced Data Engineering/45 - What is Hadoop？.mp4 | 4.27 MiB |
| 08 - 7. Advanced Data Engineering/46 - Understand PySpark for data engineering.en.srt | 4.51 KiB |
| 08 - 7. Advanced Data Engineering/46 - Understand PySpark for data engineering.mp4 | 5.98 MiB |
| 08 - 7. Advanced Data Engineering/47 - Importance of visualization tools in DE.en.srt | 4.59 KiB |
| 08 - 7. Advanced Data Engineering/47 - Importance of visualization tools in DE.mp4 | 8.74 MiB |
| 08 - 7. Advanced Data Engineering/48 - On-prem vs. cloud data engineering.en.srt | 4.59 KiB |
| 08 - 7. Advanced Data Engineering/48 - On-prem vs. cloud data engineering.mp4 | 5.07 MiB |
| 09 - 8. Capstone Project/49 - Capstone project： Retail sales analysis.en.srt | 4.18 KiB |
| 09 - 8. Capstone Project/49 - Capstone project： Retail sales analysis.mp4 | 6.09 MiB |
| 09 - 8. Capstone Project/50 - Solution： Capstone project.en.srt | 20.52 KiB |
| 09 - 8. Capstone Project/50 - Solution： Capstone project.mp4 | 50.64 MiB |
| 10 - Conclusion/51 - Next steps.en.srt | 1.21 KiB |
| 10 - Conclusion/51 - Next steps.mp4 | 1.76 MiB |
| Ex_Files_Python_Data_Eng_Beginner_to_Advanced.zip | 442.55 KiB |
| FreeCoursesOnline.me Download Udacity, Masterclass, Lynda, PHLearn, etc Free.url | 29 B |
| Support Us.txt | 185 B |
