We have hosted the application learn data science in 3 months in order to run this application in our online workstations with Wine or directly.


Quick description about learn data science in 3 months:

This project lays out a 12-week plan to go from basics to a portfolio-ready understanding of data science. It breaks the journey into clear stages: Python fundamentals, data wrangling, visualization, statistics, machine learning, and end-to-end projects. The schedule mixes learning and doing, encouraging you to build small deliverables each week�like notebooks, dashboards, and model demos�to reinforce skills. It also includes suggestions for datasets and problem domains so you aren�t stuck wondering what to analyze next. The plan is intentionally opinionated but flexible: you can swap resources while keeping the weekly objectives intact. By the end, you�re expected to have tangible artifacts to show employers or collaborators, not just notes and bookmarks.

Features:
  • Week-by-week syllabus from Python and pandas to modeling and deployment
  • Balanced mix of lectures, readings, coding exercises, and mini-projects
  • Guidance on finding datasets and framing problems with business value
  • Recommended tooling stack for notebooks, visualization, and experimentation
  • Portfolio focus with suggested project ideas and presentation tips
  • Flexible resource substitutions while preserving the overall trajectory



Categories:
Machine Learning

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