Merge branch 'master' of https://github.com/codebasics/py into master

Author: codebasics

TechTopics/DataAnalystRoadMap2020/data_analyst_learning_path_2020.md

@@ -1,5 +1,5 @@
-## Learn data science step by step in 6 months
-----------------------------------------------
+## Learn data analyst skills step by step in 3 months
+------------------------------------------------------
 
 Following is a schedule to learn data science step by step considering **4 hours** of dedicated, focused study every single day. This program is perfect for beginners with no knowledge of data science and programming.
 
@@ -17,15 +17,23 @@ Following is a schedule to learn data science step by step considering **4 hours
 	- Statistics by Marin : https://www.youtube.com/playlist?list=PLqzoL9-eJTNBZDG8jaNuhap1C9q6VHyVa
 	- Statquest youtube channel: https://www.youtube.com/user/joshstarmer
 
-### Week 3 and 4: Python
+### Week 3, 4, 5: BI tools
+
+* Tableau
+  - Abhishek Agarwal: https://www.youtube.com/playlist?list=PL6_D9USWkG1C4raCOTlTf_oq4XnNNNtm9
+  - Bharti consultancy:  https://www.youtube.com/playlist?list=PLyD1XCIRA3gQmN73dHwQWr4R08ABZFMtZ
+  
+* Power BI (project)
+  - codebasics sales insights project: https://www.youtube.com/playlist?list=PLeo1K3hjS3uva8pk1FI3iK9kCOKQdz1I9
+  
+### Week 6 and 7: Python
 
 * Python
 	- Codebasics python tutorials (first 16) - https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0
-	- Make sure to work on exercises
-* R 
-  - Marin's lectures: https://www.youtube.com/playlist?list=PLqzoL9-eJTNBlVXxWvJkq0dtVut2sICUW
-  
-### Week 5, 6, 7, 8: Numpy, Pandas, Data Visualization Libraries  
+	- Codebasics python HINDI tutorials - https://www.youtube.com/playlist?list=PLPbgcxheSpE1DJKfdko58_AIZRIT0TjpO
+	- Make sure to work on exercises in these folders: https://github.com/codebasics/py/tree/master/Basics/Hindi
+
+### Week 8, 9: Numpy, Pandas, Data Visualization Libraries  
 
 * NumPy and Pandas
 	- Codebasics Numpy playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uset9zIVzJWqplaWBiacTEU
@@ -39,18 +47,7 @@ Following is a schedule to learn data science step by step considering **4 hours
 	- Notebooks: https://www.kaggle.com/notebooks
 	- Datasets: https://www.kaggle.com/datasets
 
-### Week 9, 10, 11, 12: Machine Learning
-
-* Machine learning
-	- codebasics ml playlist (first 16): https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
-	- data science regression project: same playlist as above. Tutorial 18 to 25
-	
-### Week 13, 14, 15, 16: Deep Learning
-
-* Deep learning	 (artificial neural network, convolutional neural network, recurrent neural network) 
-  - codebasics deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO
-  
-### Week 17, 18, 19, 20: SQL & MongoDB
+### Week 10, 11, 12: SQL & MongoDB
 
 * SQL
 	- kudavenkat playlist (first 16): https://www.youtube.com/playlist?list=PL08903FB7ACA1C2FB
@@ -59,14 +56,7 @@ Following is a schedule to learn data science step by step considering **4 hours
 * MongoDB 
   - https://www.coursera.org/learn/introduction-mongodb
 
-### Week 21, 22, 23, 24: BI tools
 
-* Tableau
-  - Abhishek Agarwal: https://www.youtube.com/playlist?list=PL6_D9USWkG1C4raCOTlTf_oq4XnNNNtm9
-  - Bharti consultancy:  https://www.youtube.com/playlist?list=PLyD1XCIRA3gQmN73dHwQWr4R08ABZFMtZ
-  
-* Power BI (project)
-  - codebasics sales insights project: https://www.youtube.com/playlist?list=PLeo1K3hjS3uva8pk1FI3iK9kCOKQdz1I9
 
 ## Soft skills
 ---------------
@@ -80,4 +70,15 @@ Following is a schedule to learn data science step by step considering **4 hours
 --------------------------------------    
 * Free book on statistics: http://greenteapress.com/thinkstats/thinkstats.pdf
 * Another good book on statistics (not free) Naked Statistics - Charles Wheelan
+* Mechanical engineer to data analyst transition success stories
+	https://youtu.be/34-RThWWRHM
+	https://www.youtube.com/watch?v=HgE2yOHl1RU
+
+* BCom to data analyst transition success story
+	https://youtu.be/lqEzYDuTnvU
+
+## Resume Guidance
+------------------
+* Data analyst resume review session with template resume: https://www.youtube.com/watch?v=YKPFQUvckU0
+