Restart from basics, here's the learning path
✅ Step 1
Know Data Science
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✅ Step 2
Understand How to answer Why
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✅ Step 3
Machine Learning Key Terminology
https://lnkd.in/fCihY9W
✅ Step 4
Understand basics of data and algorithms
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✅ Step 5
Start learning data science with zero-programming experience https://lnkd.in/fUZKqjg
✅ Step 6
Selecting course on data science https://lnkd.in/fXBw833
✅ Step 7
From Excel to Pandas https://lnkd.in/fnU5apw
✅ Step 8
Communication & Data Storytelling https://lnkd.in/eqf5gUV
✅ Step 9
Data Manipulation with Python https://lnkd.in/g4DFNpJ
✅ Step 10
Data Visualization with Python (Matplotlib/Seaborn): https://lnkd.in/g_3fx_6
✅ Step 11
Advanced Pandas https://lnkd.in/fZWGp9B
✅ Step 12
Tricks on Pandas by Real Python https://lnkd.in/fXc9XSp
✅ Step 13
Becoming Efficient with Pandas https://lnkd.in/f64hU-Y
✅ Step 14
Pandas Advances Tips https://lnkd.in/fGyBc4c
✅ Step 15
Jupyter Notebook (Beginner) https://lnkd.in/fTFinFi
✅ Step 16
Jupyter Notebook (Advanced) https://lnkd.in/fFufePv
Youtube : https://lnkd.in/ftVzrtk