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https://github.com/afondiel/ibm-data-science-professional-certificate-coursera

IBM Data Science Professional Certificate Coursera Notes
https://github.com/afondiel/ibm-data-science-professional-certificate-coursera

ai classification clustering coursera data-analysis data-engineering data-mining data-science data-science-challenges data-science-projects data-scientist data-visualization ibm ibm-certificate ibm-professional-certificate linear-algebra machine-learning python regression statistics

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IBM Data Science Professional Certificate Coursera Notes

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README

        

# IBM Data Science Professional Certificate - Coursera

![Spacex Falcon Heavy dual landing](https://media4.giphy.com/media/3ohs4gSs3V0Q7qOtKU/giphy.gif?cid=ecf05e4783dj1rqzpmjakyf4ro5fxexfzbh2a79vnf7r70je&ep=v1_gifs_related&rid=giphy.gif&ct=g)

I recently [completed](https://www.coursera.org/account/accomplishments/professional-cert/GRC4DCMSV5PH?utm_source=link&utm_medium=certificate&utm_content=cert_image&utm_campaign=pdf_header_button&utm_product=prof) the [IBM Data Science Professional Certificate](https://www.coursera.org/professional-certificates/ibm-data-science) from Coursera, and here are my notes, course resources and project assignments.

## Motivation

I took this course after reading this great article: ["Data Scientist: The Sexiest Job of the 21st Century"](https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century) from Harvard Business Review.

As a Software Engineer in the automotive sector, I wonder: What will the automotive industry resemble in the coming decades or even half a century (from 2022)?

I see a future dominated by self-driving or highly automated cars with advanced AI systems. With evolving features, sensor and ECU numbers will increase, substantial data will be generated and every solution will be `data-based`.

That's why I took this course, to become familiar with the laws of data science and understand how they can be applied in the automotive industry to make vehicles **smarter** and **safer**.

## What You Will Learn?

The full specialization consists of 10 courses, but each can be taken individually for those focused on specific topics.

1. [What is Data Science?](./course1_what_s_data_science/)
2. [Tools for Data Science](./course2_tools_for_data_science/)
3. [Data Science Methodology](./course3_data_science_methodology/)
4. [Python for Data Science, AI & Development](./course4_python_for_data_science_and_ai_dev/)
5. [Python Project for Data Science](./course6_databases_sql_for_data_science_w_python/)
6. [Databases and SQL for Data Science with Python](./course7_data_analysis_w_python/)
7. [Data Analysis with Python](./course7_data_analysis_w_python/)
8. [Data Visualization with Python](./course8_data_viz_w_python/)
9. [Machine Learning with Python](./course9_machine_learning_w_python/)
10. [Applied Data Science Capstone](./couse10_applied_data_science_capstone/)

Happy learning!

## References

- [Coursera - Certificate](https://www.coursera.org/professional-certificates/ibm-data-science)
- [My course notes & resources](https://github.com/afondiel/research-notes/tree/master/datascience-notes/courses/certificates/coursera/ibm)
- [Books suggested in this course](#)
- [Getting Started With Data Science - Murtaza Haider](https://github.com/afondiel/cs-books/blob/main/data-science/Getting%20started%20with%20data%20science%20-%20murtaza%20haider%20-%20full.pdf)
- [Harvard Business Review Post - Data Scientist: The Sexiest Job of the 21st Century](https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century)

>### "Data is the Oil of information age, AI is the engine, Data Science is the laws of Physics that cause the combustion to occur and piston to move"
> ### ~ Bernard Marr