Data Science Bootcamp New! | Watch Udemy The Data Science Course 2020: Complete

Real-world data lives in databases. The course teaches you how to use SQL to query data, filter results, and prepare datasets for analysis. This is often the most used skill in a day-to-day data role. 4. Python Programming

Overall, The Data Science Course 2020: Complete Data Science Bootcamp is a comprehensive and practical course that provides a thorough introduction to data science. While it may have some limitations, such as outdated materials and a steep learning curve, it is a great resource for those who want to gain hands-on experience in data science. I recommend this course to anyone who wants to gain a solid foundation in data science and machine learning.

But as an introduction ? 8.5/10.

If 365 Careers updated this course for 2026, the outline would need to change dramatically: Real-world data lives in databases

In 2020, the data science gold rush was at its peak. Udemy’s flagship offering, “The Data Science Course 2020: Complete Data Science Bootcamp” (created by 365 Careers), promised a zero-to-expert journey through the entire data science pipeline. This paper dissects the course not merely as a set of videos, but as a pedagogical artifact. We explore what it taught (and crucially, what it omitted), how its structure mirrors the industry’s fragmentation, and whether a single bootcamp—even a well-rated one—can truly produce a competent practitioner. The conclusion: the course is an excellent map , but not the territory .

The course’s greatest value may be negative —it shows you what you don’t know. After completing it, a motivated learner will realize that statistics intuition, SQL fluency, and Python data wrangling are just the first 10% of the journey. The remaining 90%—deployment, monitoring, communication, ethics, and continuous learning—cannot fit into any 30-hour bootcamp. And that’s the real lesson of data science: it’s not a course you finish, but a practice you live.

Let’s grade the course against the 2020 data science hiring rubric (from sources like Kaggle’s State of Data Science 2020): I recommend this course to anyone who wants

This course is suitable for:

Understanding distributions, hypothesis testing, and confidence intervals so you can interpret your data correctly. 3. Database Management (SQL)

The instructor of the course is Jose Portilla, who has experience in data science and machine learning. He is generally responsive to questions and provides helpful feedback. the math remains the same

Module 2 (Python) is 8 hours. Module 5 (Tableau) is only 2 hours. This implies a belief that coding is the primary bottleneck—yet many industry data scientists spend more time in visualization and communication than in pure coding.

While the keyword mentions , the instructors at 365 Careers are known for keeping their content updated. The core logic of data science hasn't changed; the math remains the same, and Python continues to dominate the field. The course now includes updated libraries and modern best practices, ensuring your skills aren't outdated. Who Should Watch This?