# 🚀 Data Science & ML Mastery: Top 20 Skills (2026)

This roadmap takes you from beginner to expert with 100% free, high-quality resources.

| # | Skill | Proficiency | Resource Link |
| :--- | :--- | :--- | :--- |
| 1 | Python Programming |


Beginner | [Kaggle Learn](https://www.kaggle.com/learn/python) |

| 2 | Linear Algebra & Calculus |

Beginner | [3Blue1Brown](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3Mne08OtBDPsE22yz4Os) |


| 3 | Statistics & Probability |

Beginner | [StatQuest](https://www.youtube.com/c/joshstarmer) |

| 4 | SQL & Data Querying |


Beginner | [SQLZoo Interactive](https://sqlzoo.net/) |

| 5 | Data Manipulation


| Beginner | [Pandas Official Guide](https://pandas.pydata.org/docs/getting_started/index.html) |

| 6 | Exploratory Data Analysis |


Beginner | [Google Data Prep](https://developers.google.com/machine-learning/data-prep) |
| 7 | Data Visualization |



Intermediate | [Fundamentals of Data Viz](https://clauswilke.com/dataviz/) |

| 8 | Classical Machine Learning |



Intermediate | [Google ML Crash Course](https://developers.google.com/machine-learning/crash-course) |

| 9 | Feature Engineering |



Intermediate | [Kaggle Learn](https://www.kaggle.com/learn/feature-engineering) |

| 10 | Model Evaluation |



Intermediate | [Scikit-Learn Guide](https://scikit-learn.org/stable/modules/model_evaluation.html) |

| 11 | Deep Learning Foundations |



Intermediate | [Fast.ai Course](https://course.fast.ai/) |

| 12 | NLP


| Intermediate | [Hugging Face Course](https://huggingface.co/learn/nlp-course) |

| 13 | Computer Vision



| Advanced | [Stanford CS231n](http://cs231n.stanford.edu/) |

| 14 | Time Series Analysis



| Advanced | [FPP3 Forecasting](https://otexts.com/fpp3/) |

| 15 | Big Data (PySpark) |



Advanced | [IBM Spark Fundamentals](https://cognitiveclass.ai/courses/what-is-spark) |

| 16 | MLOps & Deployment |



Advanced | [ML Zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp) |

| 17 | Generative AI Engineering |



Expert | [Microsoft GenAI](https://github.com/microsoft/generative-ai-for-beginners) |

| 18 | RAG & Vector DBs



| Expert | [Pinecone Learning](https://www.pinecone.io/learn/) |

| 19 | AI Agent Orchestration



| Expert | [DeepLearning.ai Agents](https://www.deeplearning.ai/short-courses/ai-agents-in-langchain/) |

| 20 | AI Ethics & Governance



| Expert | [Google ML Fairness](https://developers.google.com/machine-learning/fairness-overview) |

---
*Roadmap curated for the 2026 Data Frontier.*

Analyzing Video Games Matches like Dota 2,lol,and other games and gaining insights from hidden patterns in games and players behaviours

There are many data on net and Kaggle for this purpose

وقتی روی چیزی تمرکز گردید که نمی‌خواهید و حس بدی به شما می دهد به وضوح می‌تواند به شما بگوید که چه چیزی میخواهید وقتی که از ابتدا خواسته مشخص و شفافی در ذهن ندارین

مانند استخدام تو شرکت ها با اون حقوق ها و اون پیش نیاز ها برای یه متخصص که حقوق یه کارمند میان رده رو بگیره


کلا زیر دستی یا استخدامی هیچ وقت گزینه خوبی نیس

Resources | Linear Algebra | Mathematics | MIT OpenCourseWare
https://ocw.mit.edu/courses/18-06-linear-algebra-spring-2010/download/

برای آمار و احتمال BlitzStein

mml-book.pdf

ریاضیات ماشین

Below is the same quick suggested sequence, but now with the full direct URLs so you can open them immediately.

---

## 1) Orientation – Data Science overview

Data Science Tutorial (Index)
[https://www.tutorialspoint.com/data_science/index.htm](https://www.tutorialspoint.com/data_science/index.htm)

This gives you the roadmap, workflow, lifecycle, tools, and terminology.

---

## 2) Mathematics Foundations

Statistics Tutorial
[https://www.tutorialspoint.com/statistics/index.htm](https://www.tutorialspoint.com/statistics/index.htm)

Probability Tutorial
[https://www.tutorialspoint.com/statistics/probability.htm](https://www.tutorialspoint.com/statistics/probability.htm)

Linear Algebra Tutorial
[https://www.tutorialspoint.com/linear_algebra/index.htm](https://www.tutorialspoint.com/linear_algebra/index.htm)

Calculus Tutorial
[https://www.tutorialspoint.com/calculus/index.htm](https://www.tutorialspoint.com/calculus/index.htm)

Focus especially on:

* Probability distributions
* Hypothesis testing
* Matrix operations
* Eigenvalues & eigenvectors
* Partial derivatives & gradients

---

## 3) Python for Data Science

Python Tutorial (Core Programming)
[https://www.tutorialspoint.com/python/index.htm](https://www.tutorialspoint.com/python/index.htm)

NumPy Tutorial
[https://www.tutorialspoint.com/numpy/index.htm](https://www.tutorialspoint.com/numpy/index.htm)

Pandas Tutorial
[https://www.tutorialspoint.com/python_pandas/index.htm](https://www.tutorialspoint.com/python_pandas/index.htm)

Matplotlib Tutorial
[https://www.tutorialspoint.com/matplotlib/index.htm](https://www.tutorialspoint.com/matplotlib/index.htm)

Python for Data Science Tutorial
[https://www.tutorialspoint.com/python_data_science/index.htm](https://www.tutorialspoint.com/python_data_science/index.htm)

This stage builds your practical data manipulation and visualization skills.

---

## 4) SQL + Data Wrangling

SQL Tutorial
[https://www.tutorialspoint.com/sql/index.htm](https://www.tutorialspoint.com/sql/index.htm)

MySQL Tutorial (optional but useful)
[https://www.tutorialspoint.com/mysql/index.htm](https://www.tutorialspoint.com/mysql/index.htm)

You’ll use this for:

* Data extraction
* Joins
* Aggregations
* Filtering
* Grouping

---

## 5) Machine Learning (Core Algorithms)

Machine Learning Tutorial
[https://www.tutorialspoint.com/machine_learning/index.htm](https://www.tutorialspoint.com/machine_learning/index.htm)

Machine Learning with Python
[https://www.tutorialspoint.com/machine_learning_with_python/index.htm](https://www.tutorialspoint.com/machine_learning_with_python/index.htm)

Pay special attention to:

* Linear & Logistic Regression
* Decision Trees
* Random Forest
* SVM
* K-Means
* PCA
* Model evaluation metrics

---

## 6) Deep Learning & Advanced Topics

Deep Learning Tutorial
[https://www.tutorialspoint.com/deep_learning/index.htm](https://www.tutorialspoint.com/deep_learning/index.htm)

TensorFlow Tutorial
[https://www.tutorialspoint.com/tensorflow/index.htm](https://www.tutorialspoint.com/tensorflow/index.htm)

Keras Tutorial
[https://www.tutorialspoint.com/keras/index.htm](https://www.tutorialspoint.com/keras/index.htm)

---

## 7) Big Data & Production

Apache Spark Tutorial
[https://www.tutorialspoint.com/apache_spark/index.htm](https://www.tutorialspoint.com/apache_spark/index.htm)

Data Science Tutorial (advanced sections)
[https://www.tutorialspoint.com/data_science/index.htm](https://www.tutorialspoint.com/data_science/index.htm)

---

## 8) Structured Paid Course (Optional – Full Path in One Place)

Mastering A-Z of Data Science & Machine Learning
[https://market.tutorialspoint.com/course/mastering-the-a-z-of-data-science-machine-learning/index.asp](https://market.tutorialspoint.com/course/mastering-the-a-z-of-data-science-machine-learning/index.asp)

---


TGStat


شیرو خورشید آیپی شیروخورشید | فایل شیر و خورشید آموزش - شیر خورشید فیلترشکن
16 May, 13:14
لیست آیپی جدید مناسب اپلیکیشن شیر و خورشید ارسالی از ممبرا متصل برای ایرانسل و همراه اول✅👑

104.88.70.105 92.123.10.153 96.16.248.152 104.83.197.160 96.16.248.133 96.16.249.54 96.16.248.162 173.222.249.155 184.87.193.138 96.6.34.243 96.17.96.7 96.16.248.137 104.110.191.32 184.51.97.129 104.116.98.32 184.87.193.139 184.84.221.34 96.16.248.139 96.16.249.52 88.221.0.39 96.16.249.28 96.16.248.142 96.17.72.48 104.117.76.106 104.109.128.163 96.17.72.51 96.17.72.75 104.109.250.11 104.115.39.202 96.16.249.38 184.85.134.164 104.76.210.6 104.117.76.16 104.117.76.8 184.84.81.125 23.66.101.71 96.16.248.177 92.123.10.217 184.85.155.41 88.221.0.52 173.222.146.221 184.51.102.248 96.17.72.80 96.17.72.58 173.222.249.146 104.115.39.104 96.17.72.57 173.222.249.153 173.222.108.57 96.17.72.10 23.67.142.129 173.222.108.49 88.221.0.58 96.16.248.182 104.110.191.39 104.110.191.41 96.16.248.159 96.16.248.156 96.16.248.153 104.110.191.14 88.221.0.38 88.221.0.44 104.108.86.50 96.7.105.201 96.16.248.166 173.222.249.160 96.16.248.183 88.221.0.56 184.51.102.88 96.16.249.23 88.221.0.50 104.68.103.205 96.16.248.170 104.116.96.159 96.16.249.20 88.221.0.36 96.17.180.45 96.16.249.11 96.16.248.181 104.83.197.135 173.222.108.120 23.64.59.9 92.122.16.5 104.120.56.96 104.117.76.147 92.123.10.232 184.86.103.159 104.117.76.137 104.117.76.145 104.117.76.139 104.117.76.114 104.69.81.4 104.117.76.104 104.117.76.99 104.117.76.179 104.117.76.153 104.120.90.56 104.117.76.90 104.117.76.91 96.6.33.250 104.117.76.67 104.117.76.72 104.117.76.64 104.117.76.57 104.117.76.58 104.117.76.19 184.86.103.20 184.86.103.12 184.86.103.23 184.86.103.14 184.86.103.19 173.223.109.20 96.17.96.31 104.76.220.65 173.222.148.49 184.51.96.7 104.76.220.42 184.51.149.33 104.108.238.182 104.80.48.203 92.122.17.9 92.123.8.93 104.76.210.216 104.76.220.112 23.64.224.224 173.222.168.212 173.222.168.191 92.123.8.87 92.123.10.140 184.51.102.58 184.51.102.177 104.76.220.170 104.76.220.168 92.122.6.109 173.223.29.67 92.123.8.100 23.65.117.219 173.222.148.43 23.75.23.33 184.86.103.223 184.86.103.217 184.86.103.196 23.67.129.53 184.86.103.139 184.86.103.142 104.108.237.97 184.86.103.13 104.112.135.94 23.64.59.26 92.122.9.160 104.120.80.245 173.223.239.52 92.122.1.249 173.222.116.88 96.16.249.50 96.16.249.33 96.16.249.60 96.16.248.151 96.16.248.145 96.16.248.148 96.16.248.176 96.16.248.136 96.16.248.154 96.16.248.143 92.123.8.77 104.124.165.104 96.16.249.12 96.16.248.155 96.16.248.179 96.16.248.171 96.16.248.147 96.16.248.144 23.65.124.89 96.16.249.9 23.65.124.88 96.16.249.16 96.16.249.6 96.16.248.174 96.16.248.167 96.16.248.164 92.123.8.99 92.123.8.94 23.65.124.104 92.123.8.74 23.65.124.91 23.65.124.106 23.65.124.105 104.108.231.170 23.66.101.79 184.85.137.131 104.120.82.77 104.120.77.233 23.64.12.168 104.120.89.53 104.120.76.148

     
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