I have a deep understanding on what it entails getting a Data Scientist job role.

I like how things were laid out in clear and concise terms and descriptions. This is one of the more thorough interview preparation guides I've read/looked at .

This course has been an invaluable asset in honing my skills and preparing me for a career in data science. The knowledge I've gained is not only enhancing my effectiveness in job searching but also empowering me for successful interviews. A big thank you to IBM for providing this exceptional opportunity for learning and growth.

This isa good course that explains what to expect and how to prepare for an interview

Practice coding challenges and in-depth questions asked in a typical data science interview should be covered.

The Coursera Data Scientist Career Guide and Interview Preparation course is an excellent resource for anyone looking to break into the field of data science or advance their career. It offers a comprehensive overview of what it takes to succeed in data science, from technical skills to job search strategies, portfolio building, and interview techniques. Strengths: Comprehensive Content: The course covers all essential topics, including the technical skills required, how to present your work through portfolios, and strategies for passing interviews. It also addresses the softer side of job preparation, such as networking, negotiating offers, and understanding company culture. Real-World Application: The practical advice about crafting resumes, preparing for technical interviews, and building a portfolio using real-world data sets is invaluable. The mock interview sections, coding challenges, and tips on handling behavioral questions offer a real-world glimpse into the data science hiring process. Career-Focused: This course does an excellent job of preparing students not only for job interviews but also for the broader job search. It provides a detailed look at how companies operate, what recruiters look for, and what working as a data scientist entails. Engagement with Industry Trends: The inclusion of LinkedIn statistics and information about how data science is utilized in different industries keeps the content relevant and connected to current industry trends. Areas for Improvement: More Technical Depth: While the course provides a solid foundation, it would benefit from more in-depth technical practice, particularly with coding challenges and case studies to better simulate real-world data science problems. Interview Practice: While there is a good amount of advice on interviews, additional mock interviews or coding challenges with feedback would greatly enhance the learning experience, providing students with more hands-on practice. Conclusion: Overall, the Coursera Data Scientist Career Guide and Interview Preparation course is highly recommended for anyone transitioning into data science or looking to advance in the field. Its balance between career advice, interview preparation, and practical guidance makes it an essential resource for aspiring data scientists. With a bit more emphasis on technical practice, this course would be perfect for equipping candidates with the tools they need to succeed in the competitive world of data science.

Excellent course with useful recommendations and most importantly DO NOTs during the overall interview process.

Very well thought out. The mock interviews are great. Tips for preparation are excellent. Overall, excellent

Excelente todos los consejos y recomendaciones que dieron en este curso. es para tener en cuenta. Gracias...

Probably the best course ever about interview skills.

Mind blowing tips and solutions!

This course is very practical

Great informative course

Very good course

I’m So grateful

دورة رائعة جدا

Very practical

Good, helpful

great course

Excelente!!

SATISFACTORY

Interesting.

Excellent

good

good