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

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Size
531 MB
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4
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0
Files
97
Category
Other
Added
03/09/24 at 5:32pm GMT+1
Infohash
39b74e52f96c04c234a7fa228bf12faf9eca884f

Description
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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

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

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