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  1. Courses
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  3. Master Data Science with Python

Lesson 1 of 60 · python

Course Overview & Environment Setup

Duration: 20 minutes

Course Overview & Setup

Welcome to Data Science with Python! This course will guide you through the entire data science workflow, from data ingestion to model deployment.

What you'll build

  • Data cleaning scripts with Pandas
  • Exploratory visualizations with Matplotlib/Seaborn
  • Predictive models using scikit‑learn
  • A deep learning image classifier with TensorFlow

Setting up your environment

We'll use conda to manage packages. Open a terminal and run:

conda create -n ds-python python=3.11
conda activate ds-python
conda install numpy pandas matplotlib seaborn scikit-learn jupyterlab
conda install -c conda-forge tensorflow pytorch

Tip: If you prefer pip, replace the above commands with pip install equivalents.

Info

Make sure you have at least 4 GB of RAM available for the exercises.

Next: Jupyter Notebook Basics