https://github.com/federicoserini/data-ml-engineering-career-path

https://github.com/federicoserini/data-ml-engineering-career-path

aws data-analysis data-engineering google-cloud-platform machine-learning statistics

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/federicoserini/data-ml-engineering-career-path
• Owner: FedericoSerini
• Created: 2019-03-27T10:45:43.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-10-06T08:59:49.000Z (over 5 years ago)
• Last Synced: 2023-08-18T09:59:32.824Z (over 1 year ago)
• Topics: aws, data-analysis, data-engineering, google-cloud-platform, machine-learning, statistics
• Size: 8.79 KB
• Stars: 13
• Watchers: 2
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Career Path

***

1. - [x] *SQL For Data Analysis*

[link](https://eu.udacity.com/course/sql-for-data-analysis--ud198)

***

2. - [x] *Data Engineer* [link](https://eu.udacity.com/course/data-engineer-nanodegree--nd027) [[Project 1](https://github.com/FedericoSerini/DEND-Project-1-Song-Play-Analysis-With-RDBMS),[Project 2](https://github.com/FedericoSerini/DEND-Project-2-Song-Play-Analysis-With-NoSQL),[Project 3](https://github.com/FedericoSerini/DEND-Project-3-Data-Warehouse-AWS)]

***

3. - [x] *Intro To Statistics*

[link](https://eu.udacity.com/course/intro-to-statistics--st101)

***

4. - [x] *Intro to Descriptive Statistics*

[link](https://eu.udacity.com/course/intro-to-descriptive-statistics--ud827)

***

5. - [x] *Intro to Inferential Statistics*

[link](https://eu.udacity.com/course/intro-to-inferential-statistics--ud201)

***

6. - [x] *Intro To Machine Learning*

[link](https://eu.udacity.com/course/intro-to-machine-learning--ud120)

***

7. - [ ] *Data Engineering on Google Cloud Platform Specialization*

[link](https://www.coursera.org/specializations/gcp-data-machine-learning?utm_source=googlecloud&utm_medium=institutions&utm_campaign=GoogleCloud_Training_Data_ML_DE)

***

8. - [ ] *Preparing for the Google Cloud Professional Data Engineer Exam*

[link](https://www.coursera.org/learn/preparing-cloud-professional-data-engineer-exam?utm_source=googlecloud&utm_medium=institutions&utm_campaign=GoogleCloud_Cert_Prep_PDE)

***

9. - [ ] *Google Cloud Certified Professional Data Engineer Exam*

[link](https://cloud.google.com/certification/data-engineer)

***

10. - [ ] *Big Data for Data Engineers*

[link](https://www.coursera.org/specializations/big-data-engineering)

***

11. - [ ] *Intro To Data Analysis*

[link](https://eu.udacity.com/course/intro-to-data-analysis--ud170)

***

12. - [ ] *Data Analyst*

[link](https://eu.udacity.com/course/data-analyst-nanodegree--nd002)

***

13. - [ ] *Linear Algebra Refresher Course*

[link](https://eu.udacity.com/course/linear-algebra-refresher-course--ud953)

***

14. - [ ] *Data Structures Algorithms in Python*

[link](https://eu.udacity.com/course/data-structures-and-algorithms-in-python--ud513)

***

15. - [ ] *Machine Learning Engineer*

[link](https://eu.udacity.com/course/machine-learning-engineer-nanodegree--nd009)

***

16. - [ ] *Machine Learning Interview Preparation*

[link](https://eu.udacity.com/course/machine-learning-interview-prep--ud1001)

***

# Books

1. Kimball's Data Warehouse Toolkit Classics: The Data Warehouse Toolkit [link](https://www.amazon.com/dp/1118875184/ref=cm_sw_em_r_mt_dp_U_Y0uXCbTVBCT7S)

2. NoSQL and SQL Data Modeling: Bringing Together Data, Semantics, and Software [link](https://www.amazon.com/NoSQL-SQL-Data-Modeling-Semantics/dp/1634621093/)

3. Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals [link](https://www.amazon.com/Hands-Big-Data-Modeling-professionals/dp/1788620909/)

4. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems [link](https://www.amazon.com/dp/1449373321/ref=cm_sw_em_r_mt_dp_U_j2uXCbVQ2BEFD)