Udemy – 21 data science portfolio projects in 21 days 2025-3

21 data science portfolio projects in 21 days is a course to build your data science skills quickly, published by Udemy Online Academy. It’s a practical and highly impactful course designed to quickly build your data science skills while building an impressive, job-ready portfolio. Ideal for data scientists, analysts, and machine learning enthusiasts, this course takes you on a new real-world project every day—with a focus on practical applications and a variety of tools. You’ll explore a variety of domains, including finance, healthcare, marketing, natural language processing (NLP), computer vision, and more, while mastering Python, Pandas, Psychic-Learn, Seaborn, SQL, and other essential libraries.

This comprehensive data science course is structured as an intensive 21-day journey through the most relevant and in-demand areas of machine learning and artificial intelligence. Each day focuses on a complete project execution that is carefully designed to build both your technical skills and your professional portfolio. Each project is structured to be completed in one day, making learning fast, engaging, and portfolio-worthy.

What you will learn in 21 data science portfolio projects in 21 days:

• Build and implement various machine learning models for real-world business applications, from time series forecasting to natural language processing
• Master practical data science techniques including customer segmentation, sentiment analysis, and predictive modeling using industry-standard tools
• Develop comprehensive AI solutions for business problems such as fraud detection, product recommendations, and risk analysis
• Apply advanced analytics techniques to generate actionable insights from complex data sets across multiple domains
• And more…

Course specifications

Publisher: Udemy
Instructors: Vinay Karode
Language: English
Level: Intermediate
Number of Lessons: 21
Duration: 6 hours and 41 minutes

Course topics

21 data science portfolio projects in 21 days Prerequisites

Basic understanding of Python programming language
Familiarity with fundamental mathematical concepts (statistics, probability, and algebra)
No prior machine learning or AI experience required
A computer with internet access and ability to install required software packages
Basic understanding of data structures and algorithms would be helpful but not mandatory

Pictures

21 data science portfolio projects in 21 days introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: None

Quality: 720p

Download link

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 2 GB

Download Part 4 – 432 MB

Size

6.4 GB