I would like to have an idea about the different paths in the field of Data Science.
Because I think that there are different trainings depending on the programming languages used.
For example :
1 - Data Science & ML for Python
2 - My SQL for data science
3 - Python for Data Science and Data Analysis
4 - Data Science, Machine Learning, Data Analysis, Python & R
5 - Mobile ML and Data Science with nitroproc
While highlighting that machine learning has transformed many industries, allowing companies to extract valuable insights from large amounts of data. However, implementing effective machine learning solutions comes with its own set of challenges. What is the right approach for small, growing businesses?