# Data Scientist Roadmap

[![data_science.jpeg](https://resources.planforfailure.com/uploads/images/gallery/2024-01/scaled-1680-/ftpXmCQJWpigDD4x-data-science.jpeg)](https://resources.planforfailure.com/uploads/images/gallery/2024-01/ftpXmCQJWpigDD4x-data-science.jpeg)

1️⃣ IBM Data Science Professional Certificate  
[https://lnkd.in/d58NA5mG](https://www.coursera.org/professional-certificates/ibm-data-science)

2️⃣ Python  
[https://lnkd.in/dTjC2nER](https://www.coursera.org/learn/python-for-applied-data-science-ai)

3️⃣ R  
[https://lnkd.in/dsKRzJD3](https://www.coursera.org/learn/data-analysis-r)

4️⃣ PowerBI  
[https://lnkd.in/dZBebfSR](https://www.coursera.org/professional-certificates/microsoft-power-bi-data-analyst)

5️⃣ Mathematics  
[https://lnkd.in/ds5dHAA9](https://www.coursera.org/learn/mathematical-thinking)

6️⃣ Tableau  
[https://lnkd.in/dvfNCjNX](https://www.coursera.org/specializations/data-visualization)

7️⃣ Excel and PowerBI  
[https://lnkd.in/dBZkzcfK](https://www.coursera.org/learn/extract-transform-and-load-data-in-power-bi)

8️⃣ Probability  
[https://lnkd.in/djHqTfZm](https://www.coursera.org/learn/probability-intro)

9️⃣ Statistics  
[https://lnkd.in/dyM7rU\_g](https://www.coursera.org/learn/stanford-statistics)

🔟 Linear Algebra  
[https://lnkd.in/d2vRH4Pi](https://www.coursera.org/learn/linear-algebra-machine-learning)

11\. Machine Learning  
[https://lnkd.in/dYcB6wTQ](https://www.coursera.org/specializations/machine-learning-introduction)

12\. Deep Learning  
[https://lnkd.in/d2G5bNcs](https://www.coursera.org/specializations/deep-learning)

13\. Data Analysis  
[https://lnkd.in/dEvKPC9Q](https://www.coursera.org/professional-certificates/google-data-analytics)

14\. Data Visualization  
[https://lnkd.in/dyrCKF5A](https://www.coursera.org/learn/data-visualization-dashboards-excel-cognos)

15\. SQL  
[https://lnkd.in/d2WZDU6B](https://www.coursera.org/specializations/learn-sql-basics-data-science)