Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions!
InstructorJose Portilla
Coupon
The curriculum spans several critical pillars including Probability Theory, Statistics, Machine Learning, and SQL.
Instruction includes practical steps for the job search, such as resume preparation and negotiating offers.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This introductory slide presents instructor Jose Portilla, highlighting his background as a corporate trainer for Fortune 500 companies and an educator with over 300,000 students.
This graphic features an office desk and chair icon above the title 'General Data Science Career Discussion,' indicating a session focused on professional development in the field.
This slide highlights the community support features included in the course, specifically granting access to online Q&A forums and a dedicated Gitter chat room for student interaction.
Technical explanations can be brief, often relying on an external guidebook or basic web searches rather than providing deep theoretical breakdowns.
The format of presenting a question followed by a solution video can feel repetitive and may include unnecessary padding.
The number of hands-on exercises is low, with some technical sections lacking the complexity required for realistic interview scenarios.
Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.
The curriculum aligns well with the goal of interview preparation for those who already have a baseline of technical knowledge.