LambdaML/Data-ML-Engineering-Career-Path

Career Path

---

1. • SQL For Data Analysis link

---

2. • Data Engineer link [Project 1,Project 2,Project 3]

---

3. • Intro To Statistics link

---

4. • Intro to Descriptive Statistics link

---

5. • Intro to Inferential Statistics link

---

6. • Intro To Machine Learning link

---

7. • Data Engineering on Google Cloud Platform Specialization link

---

8. • Preparing for the Google Cloud Professional Data Engineer Exam link

---

9. • Google Cloud Certified Professional Data Engineer Exam link

---

10. • Big Data for Data Engineers link

---

11. • Intro To Data Analysis link

---

12. • Data Analyst link

---

13. • Linear Algebra Refresher Course link

---

14. • Data Structures Algorithms in Python link

---

15. • Machine Learning Engineer link

---

16. • Machine Learning Interview Preparation link

---

Books

1. Kimball's Data Warehouse Toolkit Classics: The Data Warehouse Toolkit link
2. NoSQL and SQL Data Modeling: Bringing Together Data, Semantics, and Software link
3. Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals link
4. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems link