Tips for Writing an Impactful HR Resume
August 19, 2024
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Instructors: Azim Hirjani
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(4,514 reviews)
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Intermediate level
You should have completed the prerequisite courses needed or have proficient knowledge in working with Python and Data.
(4,514 reviews)
Recommended experience
Intermediate level
You should have completed the prerequisite courses needed or have proficient knowledge in working with Python and Data.
Play the role of a Data Scientist / Data Analyst working on a real project.
Demonstrate your Skills in Python - the language of choice for Data Science and Data Analysis.
Apply Python fundamentals, Python data structures, and working with data in Python.
Build a dashboard using Python and libraries like Pandas, Beautiful Soup and Plotly using Jupyter notebook.
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This mini-course is intended to for you to demonstrate foundational Python skills for working with data. This course primarily involves completing a project in which you will assume the role of a Data Scientist or a Data Analyst and be provided with a real-world data set and a real-world inspired scenario to identify patterns and trends.
You will perform specific data science and data analytics tasks such as extracting data, web scraping, visualizing data and creating a dashboard. This project will showcase your proficiency with Python and using libraries such as Pandas and Beautiful Soup within a Jupyter Notebook. Upon completion you will have an impressive project to add to your job 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 instructional content. It is intended for you to apply prior Python knowledge.
In this module, you will demonstrate your skills in Python - the language of choice for Data Science and Data Analysis. You will apply Python fundamentals, Python data structures, and work with data in Python. By working on a real project, you will model a Data Scientist or Data Analyst's role, and build a dashboard using Python and popular Python libraries using Jupyter notebook.
2 videos8 readings2 quizzes1 peer review5 app items5 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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University of Michigan
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4,514 reviews
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Reviewed on Oct 5, 2021
Best course so far, under the IBM Data Science professional certificate program. It is heavy on the practical side, which is a good thing as it gives the person a more hands-on experience.
Reviewed on May 19, 2022
Very useful project and exercises included in this course. It teaches very well to students to really work from web scraping to data visualization with realistic use case
Reviewed on Sep 13, 2022
It was a great and informative course. I just hope further editions on this course can be a bit more detailed escpecially in explaining terms in the labs. Thank you for a well -put-together course.
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