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IT Academy](https://www.barcelonactiva.cat/es/itacademy)\n![IT-Academy](https://esmarketingdigital.com/images/IT-Academy1.png)\n\n[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)  \n \n[![Made withJupyter](https://img.shields.io/badge/Made%20with-Jupyter-orange?style=for-the-badge\u0026logo=Jupyter)](https://jupyter.org/try)  \n\n[![Linkedin: JesusSantana](https://img.shields.io/badge/-JesusSantana-blue?style=flat-square\u0026logo=Linkedin\u0026logoColor=white\u0026link=https://www.linkedin.com/in/chus-santana/)](https://www.linkedin.com/in/chus-santana/)  \n\n[![GitHub JesusSantana](https://img.shields.io/github/followers/jesussantana?label=follow\u0026style=social)](https://github.com/jesussantana)  \n\n---\n# Objectives\n\n\n## In the Data Science itinerary with Python we will learn how to extract value from data by ingesting, transforming, storing, analyzing and visualizing data.\n\n---\n# Final Project\n## - [Project Crypto Punks](https://drive.google.com/file/d/1PpVMcJtAnLuVKMa4fPB6SqX1Fb2bbI-G/view?usp=drive_link)\n# Technical Test\n## - [Barcelona Rainfall Analysis](https://drive.google.com/file/d/1NVu3lp8N7PPKJEqoKxQ469SYdIPACB3b/view?usp=sharing)\n---\n# COURSE SYLLABUS\n\n## S01 Installation of the work environment\n\n## S02 Introduction to Python\n\n## S03 Data Structure and Control Structures\n\n- [S03 T01: Data structure](https://github.com/jesussantana/estructures_dades)\n\n- [S03 T02: Structure of a Matrix](https://github.com/jesussantana/imatges_numpy)\n\n- [S03 T03: Control structure](https://github.com/jesussantana/estructures_control)\n\n- [S03 T04: Practice with numerical programming](https://github.com/jesussantana/programacio_Numerica)\n\n- [S03 T05: Data exploration](https://github.com/jesussantana/estructures_Dataframe)\n\n## S04 Data visualization\n\n- [S04 T01: Graphic display of a dataset](https://github.com/jesussantana/visualitzacio_exploratoria)\n\n- [S04 T02: Graphic display of Multiple variables](https://github.com/jesussantana/Visualitzacio_grafica_Multiples_variables)\n\n##  S05 Other basic Python modules\n\n- [S05 T01: Log Transformation with Regular Expressions](https://github.com/jesussantana/Registre_de_logs)\n\n## S06 Sampling methods\n\n- [ S06 T01: Sampling Models](https://github.com/jesussantana/Sampling)\n\n## S07 Data, Probabilities and Statistics\n\n- [S07 T01: Data, probabilities and statistics](https://github.com/jesussantana/Statistics)\n\n## S08 Hypothesis Testing\n\n- [S08 T01: Hypothesis test](https://github.com/jesussantana/Hypothesis-testing)\n\n## S09 Correlation, Feature Scaling \u0026 Feature Engineering\n\n- [ S09 T01: Feature Engineering](https://github.com/jesussantana/Feature-Engineering)\n\n## S10 Introduction Machine Learning\n\n## S11 Train and Test\n\n- [S11 T01: Practicing with training and test sets](https://github.com/jesussantana/SkLearn-Train-Test)\n\n## S12 Supervised Learning - Regressions\n\n- [S12 T01: Supervised Learning - Regressions](https://github.com/jesussantana/Supervised-Regression)\n\n## S13 Supervised Learning - Classification\n\n- [S13 T01: Supervised Learning - Classification](https://github.com/jesussantana/Supervised-Classification)\n\n## S14 Imbalance Classification Dataset\n\n## S15 Unsupervised Learning - Clustering\n\n- [S15 T01: Unsupervised Learning - Clustering](https://github.com/jesussantana/Unsupervised-Classification)\n\n## S16 Advanced Machine Learning\n\n- [S16 T01: Pipelines, grid search i text mining](https://github.com/jesussantana/Advanced-Machine-Learning)\n\n- [S16 T02: Web Scraping](https://github.com/jesussantana/Web-Scraping)\n\n## S17 Relational databases\n\n- [S17 T01: Relational databases](https://github.com/jesussantana/Database)\n\n- [S17 T02: MySQL database](https://github.com/jesussantana/SQL-Database)\n\n## S18 NoSQL databases\n\n- [S18 T01: NoSQL database](https://github.com/jesussantana/NoSQL-Database)\n\n## S19 Data science Toolbox\n\n- [S19 T01: Interactive display with ElasticSearch Stack Kibana](https://github.com/jesussantana/Kibana/blob/main/notebooks/S19_T01_Kibana.ipynb)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjesussantana%2Fdata-science-with-python-it-academy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjesussantana%2Fdata-science-with-python-it-academy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjesussantana%2Fdata-science-with-python-it-academy/lists"}