Get your dream role as a Data Scientist by following this go-to guide that covers all essential end to end topics.
InstructorPrince PatniComidoc has tracked 9 coupons for this course since 2025, last checked 1 month, 27 days ago. On average, a new coupon appears roughly every 40 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| 2026_AUG | 100% off | Expired | ~25 daysRan full term | |
| AUGUST_2026 | 100% off | Expired | 30d 15h | |
| JULY_2026 | 100% off | Expired | ~30 daysRan full term | |
| FIFA_WORLDCUP_2026 | 100% off | Expired | 30d 10h | |
| 2026_JUNE | 100% off | Expired | ~25 daysRan full term | |
| MAY_2026 | 100% off | Expired | ~30 daysRan full term |
Instruction covers building a professional presence through GitHub, LinkedIn, and Kaggle competitions.
The curriculum includes specific modules for resume optimization and interview preparation steps.
The content functions as a career roadmap rather than a technical training program for data science methods.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This slide outlines the foundational scope of data science by listing five essential topics: definition, professional roles, salary expectations, job market trends, and required skillsets.
This slide outlines the core components of a data science skillset, categorizing requirements into basic principles, advanced concepts, technical skills, and soft skills.
This slide outlines key components for building a professional portfolio, including GitHub repositories, Kaggle leaderboards, certifications, tech blogs, LinkedIn profiles, and open-source work.
This instructional slide outlines four key steps for interview preparation: adjusting your resume, researching the organization, preparing interview questions, and creating a demo.
The curriculum aligns well with the stated goals of entry-level seekers and those looking to build professional portfolios.