Restart from basics,
Here’s the learning path
✅ Step 1 Know Data Science https://lnkd.in/fMHtxYP
✅ Step 2 Understand How to answer Why https://lnkd.in/f396Dqg
✅ Step 3 Machine Learning Key Terminology https://lnkd.in/fCihY9W
✅ Step 4 Understand basics of data and algorithms https://lnkd.in/gYKnJWN
✅ Step 5 Know data science use case (for Marketing) https://lnkd.in/fUDGAQW
✅ Step 6 Start learning data science with zero-programming experience https://lnkd.in/fUZKqjg
✅ Step 7 Selecting course on data science https://lnkd.in/fXBw833
✅ Step 8 From Excel to Pandas https://lnkd.in/fnU5apw
✅ Step 9 Communication https://lnkd.in/eqf5gUV
✅ Step 10 Data Manipulation https://lnkd.in/g4DFNpJ
✅ Step 11 Data Visualization with Python https://lnkd.in/g_3fx_6
✅ Step 12 Advanced Pandas https://lnkd.in/fZWGp9B
✅ Step 13 Tricks on Pandas by Real Python https://lnkd.in/fXc9XSp
✅ Step 14 Becoming Efficient with Pandas https://lnkd.in/f64hU-Y
✅ Step 15 Pandas Advances Tips https://lnkd.in/fGyBc4c
✅ Step 16 Jupyter Notebook (Beginner) https://lnkd.in/fTFinFi
✅ Step 17 Jupyter Notebook (Advanced) https://lnkd.in/fFufePv
