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Wiidev Academy

Intro to Data Science

Dive into data analysis, machine learning with Python and Pandas.

Level: beginnerDuration: one_monthFormat: remoteNext session: Sep 15, 202610 Spots left
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Full overview

4-week intro to data science. You start from scratch (or near) and progress to deploying a supervised machine learning model. Each week combines lectures, guided labs and a personal project coached by the trainer.

What you'll learn

  • Manipulate data with Pandas and NumPy
  • Build impactful visualizations (Matplotlib, Seaborn, Plotly)
  • Prepare a dataset (cleaning, encoding, feature engineering)
  • Train and evaluate a classification and a regression model
  • Understand the basics of supervised and unsupervised ML
  • Present results to non-technical audiences

Prerequisites

  • Basic Python (loops, functions, libraries)
  • Elementary statistics (mean, median, distribution)
  • Curious about data and how to exploit it

Curriculum

  1. 01Week 1 — Python data: Pandas, NumPy, Jupyter notebooks
  2. 02Week 2 — Visualization and data storytelling
  3. 03Week 3 — Statistics, data preparation, feature engineering
  4. 04Week 4 — Supervised ML, evaluation, production deployment

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