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| 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 | + |
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