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Beginner Data Science with Python and Jupyter

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
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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

Learning Objectives

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

Get This Course 8 830 kr

1-day instructor-led training course
One-on-one after course instructor coaching

Include dates with afternoon start times

#1263

sep 2 15:00 - 22:30 CEST

Virtual
sep 17 9:00 - 16:30 CEST

Virtual
sep 17 10:00 - 17:30 CEST

Virtual
okt 22 15:00 - 22:30 CEST

Virtual
dec 8 10:00 - 17:30 CET

Virtual
dec 8 9:00 - 16:30 CET

Virtual
jan 20 15:00 - 22:30 CET

Virtual
mar 24 10:00 - 17:30 CET

Virtual
mar 24 9:00 - 16:30 CET

Virtual
jun 24 10:00 - 17:30 CEST

Virtual
jun 24 9:00 - 16:30 CEST

Virtual

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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.

Beginner Data Science with Python and Jupyter

Beginner Data Science with Python and Jupyter Delivery Methods

Beginner Data Science with Python and Jupyter Course Information

Beginner Data Science with Python and Jupyter Training Outline

Learning Objectives

Course FAQs

What does a Python developer do?

Will I learn how to Program in Python?

Do I need prior coding experience?

Will I build a complete project?

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