@@ -17,7 +17,7 @@ Following is a schedule to learn data science step by step considering **4 hours
1717 - Statistics by Marin : https://www.youtube.com/playlist?list=PLqzoL9-eJTNBZDG8jaNuhap1C9q6VHyVa
1818 - Statquest youtube channel: https://www.youtube.com/user/joshstarmer
1919
20- ### Week 3, 4, 5, 6 : BI tools
20+ ### Week 3, 4, 5: BI tools
2121
2222* Tableau
2323 - Abhishek Agarwal: https://www.youtube.com/playlist?list=PL6_D9USWkG1C4raCOTlTf_oq4XnNNNtm9
@@ -26,15 +26,13 @@ Following is a schedule to learn data science step by step considering **4 hours
2626* Power BI (project)
2727 - codebasics sales insights project: https://www.youtube.com/playlist?list=PLeo1K3hjS3uva8pk1FI3iK9kCOKQdz1I9
2828
29- ### Week 7 and 8 : Python
29+ ### Week 6 and 7 : Python
3030
3131* Python
3232 - Codebasics python tutorials (first 16) - https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0
3333 - Make sure to work on exercises
34- * R
35- - Marin's lectures: https://www.youtube.com/playlist?list=PLqzoL9-eJTNBlVXxWvJkq0dtVut2sICUW
36-
37- ### Week 9, 10: Numpy, Pandas, Data Visualization Libraries
34+
35+ ### Week 8, 9: Numpy, Pandas, Data Visualization Libraries
3836
3937* NumPy and Pandas
4038 - Codebasics Numpy playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uset9zIVzJWqplaWBiacTEU
@@ -48,7 +46,7 @@ Following is a schedule to learn data science step by step considering **4 hours
4846 - Notebooks: https://www.kaggle.com/notebooks
4947 - Datasets: https://www.kaggle.com/datasets
5048
51- ### Week 11, 12: SQL & MongoDB
49+ ### Week 10, 11, 12: SQL & MongoDB
5250
5351* SQL
5452 - kudavenkat playlist (first 16): https://www.youtube.com/playlist?list=PL08903FB7ACA1C2FB
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