Beginner Data Science with Python and Jupyter

Course 1263

  • Duration: 1 day
  • Sandbox: Yes
  • Language: English
  • Level: Foundation

This hands-on course introduces data science fundamentals using the Python programming language and the powerful Jupyter Notebook platform. You’ll explore everything from data cleaning and machine learning to web scraping and interactive visualization—turning raw data into smart insights with real-world relevance.

Beginner Data Science with Python and Jupyter Delivery Methods

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Beginner Data Science with Python and Jupyter Course Information

In this course, you will:

  • Learn by doing: practice with real datasets and coding exercises.
  • Gain fluency in Jupyter Notebooks, Python libraries, and machine learning tools.
  • Build models to solve classification problems and interpret results.
  • Scrape data from the web and visualize it like a pro.
  • Walk away with a toolkit to tackle data-driven problems in any domain.

Prerequisites

  • Knowledge of programming fundamentals and some experience with Python, including Python libraries, Pandas, Matplotlib, and scikit-learn.

Beginner Data Science with Python and Jupyter Training Outline

Lesson 1: Jupyter Fundamentals

  • Introduction to Jupyter Notebooks
  • Data exploration using the Boston Housing Dataset
  • First steps in predictive analytics

Lesson 2: Data Cleaning & Machine Learning

  • Data preprocessing strategies
  • Classification models: SVM, KNN, Random Forests
  • Model evaluation and dimensionality reduction (PCA)

Lesson 3: Web Scraping & Interactive Visualizations

  • HTTP requests & HTML parsing with Python
  • Data scraping with Beautiful Soup
  • Building interactive plots with Bokeh

Lesson 4: Applied Projects

  • Investigating datasets through EDA
  • Training and tuning classification models
  • Creating impactful, interactive visualizations

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Course FAQs

Python developers write the code necessary to develop applications using Python's built-in statements, functions, and collection types. Python is also a very popular language for data analytics.

No. This course is intended for people who already know the basics of Python Programming. This course will teach you the basics of Data Analysis.

Some Python familiarity helps, but we ease you in with beginner-friendly examples.

Yes! You'll complete practical exercises and projects to reinforce each lesson.

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