This comprehensive course covers the full data science lifecycle — from data collection and cleaning to analysis, visualization, and machine learning. Students will gain hands-on experience with tools like Python, Pandas, NumPy, SQL, and Scikit-learn. Designed for beginners and professionals alike, the course equips learners with practical skills to solve real-world problems and prepare for roles like Data Analyst, Data Scientist, or ML Engineer.
Beginner to Job-ready: 3 to 6 months (if learning part-time)
Accelerated Bootcamp: 10–16 weeks (full-time)
Yes, as a full stack developer, you should understand both. However, you can choose to specialize in either frontend or backend after mastering the basics.
Yes! Most courses include capstone projects, mini-projects after each module, and a final full-stack application to showcase in your portfolio.
Building RESTful APIs (using Express or Django)
Fetching data in frontend (using fetch or axios)
Full stack integration
Yes, many full stack courses start with the basics of web development and gradually build up to more advanced topics.
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