Skip to content

Commit 3fca5ed

Browse files
author
codebasics
committed
Merge branch 'master' of https://github.com/codebasics/py into master
2 parents 594643a + 8082e5c commit 3fca5ed

File tree

1 file changed

+83
-0
lines changed

1 file changed

+83
-0
lines changed
Lines changed: 83 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,83 @@
1+
## Learn data science step by step in 6 months
2+
----------------------------------------------
3+
4+
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.
5+
6+
### Week 1 and 2: Excel and Statistics
7+
8+
* Excel
9+
- Google templates gallery for personal finance etc : https://docs.google.com/spreadsheets/u/0/?ftv=1
10+
- Budget planner: https://www.vertex42.com/ExcelTemplates/budgets.html
11+
- Chandoo's youtube channel: https://www.youtube.com/channel/UC8uU_wruBMHeeRma49dtZKA
12+
- Chandoo's website: https://chandoo.org/
13+
14+
* Statistics
15+
- Khan academy: https://www.khanacademy.org/math/statistics-probability
16+
- Khan academy youtube: https://www.youtube.com/playlist?list=PL1328115D3D8A2566
17+
- Statistics by Marin : https://www.youtube.com/playlist?list=PLqzoL9-eJTNBZDG8jaNuhap1C9q6VHyVa
18+
- Statquest youtube channel: https://www.youtube.com/user/joshstarmer
19+
20+
### Week 3 and 4: Python
21+
22+
* Python
23+
- Codebasics python tutorials (first 16) - https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0
24+
- Make sure to work on exercises
25+
* R
26+
- Marin's lectures: https://www.youtube.com/playlist?list=PLqzoL9-eJTNBlVXxWvJkq0dtVut2sICUW
27+
28+
### Week 5, 6, 7, 8: Numpy, Pandas, Data Visualization Libraries
29+
30+
* NumPy and Pandas
31+
- Codebasics Numpy playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uset9zIVzJWqplaWBiacTEU
32+
- Codebasics pandas playlist (first 9): https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
33+
34+
* Visualization library
35+
- Matplotlib: codebasics matplotlib playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl
36+
- Seaborn: codebasics seaborn tutorials: https://www.youtube.com/playlist?list=PLJIOr9Je9wzHT-ptgfelpt2Nyx4VGX_j9
37+
38+
* Kaggle exploratory data analysis
39+
- Notebooks: https://www.kaggle.com/notebooks
40+
- Datasets: https://www.kaggle.com/datasets
41+
42+
### Week 9, 10, 11, 12: Machine Learning
43+
44+
* Machine learning
45+
- codebasics ml playlist (first 16): https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
46+
- data science regression project: same playlist as above. Tutorial 18 to 25
47+
48+
### Week 13, 14, 15, 16: Deep Learning
49+
50+
* Deep learning (artificial neural network, convolutional neural network, recurrent neural network)
51+
- codebasics deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO
52+
53+
### Week 17, 18, 19, 20: SQL & MongoDB
54+
55+
* SQL
56+
- kudavenkat playlist (first 16): https://www.youtube.com/playlist?list=PL08903FB7ACA1C2FB
57+
- khanacademy SQL course: https://www.khanacademy.org/computing/computer-programming/sql
58+
59+
* MongoDB
60+
- https://www.coursera.org/learn/introduction-mongodb
61+
62+
### Week 21, 22, 23, 24: BI tools
63+
64+
* Tableau
65+
- Abhishek Agarwal: https://www.youtube.com/playlist?list=PL6_D9USWkG1C4raCOTlTf_oq4XnNNNtm9
66+
- Bharti consultancy: https://www.youtube.com/playlist?list=PLyD1XCIRA3gQmN73dHwQWr4R08ABZFMtZ
67+
68+
* Power BI (project)
69+
- codebasics sales insights project: https://www.youtube.com/playlist?list=PLeo1K3hjS3uva8pk1FI3iK9kCOKQdz1I9
70+
71+
## Soft skills
72+
---------------
73+
* Learn anything effectively: https://www.youtube.com/watch?v=yZFrSDjRvjk&t=16s
74+
75+
* Group learning
76+
- Codebasics discord server: https://discord.gg/r42Kbuk
77+
- Hold each other accountable
78+
79+
## Books and other resources
80+
--------------------------------------
81+
* Free book on statistics: http://greenteapress.com/thinkstats/thinkstats.pdf
82+
* Another good book on statistics (not free) Naked Statistics - Charles Wheelan
83+

0 commit comments

Comments
 (0)