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Data-ML-Engineering-Career-Path

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# 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)

Data-ML-Engineering-Career-Path

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