What Is Sales Analytics and How Does It Benefit My Business?
March 4, 2024
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This course is part of multiple programs.
Instructors: Ramesh Sannareddy
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Intermediate level
Basic Python Programming and using Jupyter Notebooks
(733 reviews)
Recommended experience
Intermediate level
Basic Python Programming and using Jupyter Notebooks
Demonstrate your skills in Python for working with and manipulating data
Implement webscraping and use APIs to extract data with Python
Play the role of a Data Engineer working on a real project to extract, transform, and load data
Use Jupyter notebooks and IDEs to complete your project
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Showcase your Python skills in this Data Engineering Project! This short course is designed to apply your basic Python skills through the implementation of various techniques for gathering and manipulating data.
You will take on the role of a Data Engineer by extracting data from multiple sources, and converting the data into specific formats and making it ready for loading into a database for analysis. You will also demonstrate your knowledge of web scraping and utilizing APIs to extract data. By the end of this hands-on project, you will have shown your proficiency with important skills to Extract Transform and Load (ETL) data using an IDE, and of course, Python Programming. Upon completion of this course, you will also have a great new addition to your portfolio! PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. NOTE: This course is not intended to teach you Python and does not have too much new instructional content. It is intended for you to mostly apply prior Python knowledge.
Module 1 introduces you to Extract, Transform, and Load operations basics. You will learn to extract required information from web pages using web scraping techniques and APIs. You will also access databases using Python and save the processed information as a table in a database.
5 videos3 readings2 assignments4 app items1 plugin
In this lesson, you will complete two projects, one for practice and one for assessment to apply what you’ve learned. These projects have you implement your skills learned in the previous course and the last module regarding the Extract, Transform, and Load process using web scraping and accessing databases using REST APIs and Python.
2 readings1 assignment1 peer review2 app items2 plugins
In this bonus module, you will become familiar with the best practices for coding as documented in the Python Enhancement Proposal (PEP8) style guide. You will learn about static code analysis, ensuring that your code adheres to the coding rules. Next, you will learn how to create and run unit tests. Finally, you will learn how to create, verify, and run Python packages.
3 videos2 readings1 assignment3 app items2 plugins
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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Fractal Analytics
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733 reviews
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Reviewed on Jan 21, 2025
Thank you very much for all the learning support given to me in this course, I am proud to have made it. Keep up with the momentum!!!
Reviewed on Nov 7, 2023
Excellent course - I would just remove the AI reading in some of the videos, listening to syntax for 1min straight is painful!
Reviewed on May 16, 2023
Really Nice. But it could be a little more advanced, which would feel like a Project. It was too basic.
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