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| Item Details | Price | ||
|---|---|---|---|
Why Build? Showcase your data skills with real projects that prove expertise.
Career Benefit: Stand out with practical ML projects and real-world data experience.
Create a portfolio that sets you apart in the data science field
| LANGUAGE : HinglishDescription:
This course is designed to help data science professionals create a standout portfolio that showcases their skills and experiences. Through practical tips and guidance, you will learn how to curate your projects, highlight your achievements, and present your work effectively to potential employers or clients.
Key Highlights:
What you will learn:
Choose the right plan that works for you. No hidden fees.
AVAILABLE Mode
The program mentioned here is solely for the purpose of LIVE Training Mode. If you are looking for Industrial Training, Certifications, Premium Courses, Vocational Courses, or Workshops, please contact us at +91-80-9042-9042 or visit Contact Us .
Python combined with Pandas lets you efficiently clean, analyze, and manipulate large datasets. By integrating Pandas into your portfolio projects, you can showcase data wrangling, trend analysis, and actionable insights - proving your ability to handle real-world data problems.
Tableau paired with machine learning models allows you to create interactive, insightful dashboards powered by predictive analytics. Including these projects in your portfolio demonstrates your capability to turn raw data into visually compelling, decision-driving reports for employers or clients.
✅ Build focuses on foundational software skills with a simpler project.
✅ Launch is for complex, industry-level projects with advanced features.
✅ Integrate is similar to Launch but focuses on projects integrating APIs and real-world platforms (e.g. Google Maps, OpenAI).
✅ Build: 10–11 live classes
✅ Launch: 13–14 live classes
✅ Integrate: 13–14 live classes
✅ Your live project is unlocked after ~50% of modules are completed:
Quickly join and start building your data science skills with structured projects and hands-on guidance.
Quickly join and start building your data science skills with structured projects and hands-on guidance.
Publish your projects, share your portfolio with recruiters or clients, and demonstrate your practical data science expertise.