Hey there!
I was looking through some of the courses and I want to get this community's feedback on them since I am looking for a structured approach towards data science. I have to end goals in mind for selecting projects:
- Build up my fundamentals for data science (using python) and the statistical methods as fast as possible (is it possible to complete several courses in 1-2 months) while maximizing amount of spending
- Have the credentials (certificates) and projects that show recruiters that I can do it
Here are the courses:
- Coursera
- Introduction to Data Science in Python
- Applied Plotting Charting and Data Representation in Python
- Applied Machine Learning in Python
- Applied Social Network Analysis in Python
- DataCamp
- Introduction to Data Science in Python
- Career Track: Data Scientist in Python
- Other courses
- Kirill Eremenko - Data Science A-Z and Machine Learning A-Z
- Jose Portilla - Python for Data Science & Machine Learning Bootcamp
- https://www.coursera.org/learn/machine-learning
- https://mode.com/sql-tutorial/introduction-to-sql/
- https://www.coursera.org/learn/big-data-introduction
- Coursera - Python for Data Science, AI & Development
- Coursera - Deep Learning Specialization by Andrew Ng
I feel that with all of these courses floating online, it is becoming harder for me to select what are the best options for me to learn. Hoping to get your feedback for this journey and any help is much appreciated!