By Coursera with IBM
Build job-ready skills in data science including Python, SQL, machine learning, and data visualization to prepare for entry-level data scientist roles
Solid beginner foundation but insufficient alone for employment. Good IBM branding and hands-on labs, though theory lacks depth and some content feels dated.
Comprehensive 12-course coverage with hands-on projects. Basic approach lacks theoretical depth; some outdated elements.
Corporate team format with mixed video quality. Clear for beginners but lengthy without substance in places.
Coursera platform reliable with IBM Cloud lab access. Good technical integration and lifetime access.
~$200-250 for 4-5 months completion. Reasonable for beginners but limited standalone job prospects.
Builds foundational portfolio and skills. Graduates need additional learning for competitive job market.
You're a complete beginner wanting structured introduction to data science
The systematic approach and IBM branding provide good foundation, especially if company pays for it.
You have programming experience or want rigorous theoretical understanding
Content may feel too basic and lacks depth needed for advanced applications or competitive positions.
About this AI Summary
This summary is generated by AI based on public internet data, including social networks and available articles.
This course is new and hasn't received any reviews yet. Share your experience and help others make an informed decision.
Write the First ReviewAll reviews on TrustCourse go through a verification process. We verify that the reviewer actually purchased and used the course by checking enrollment records and completion data provided by the course provider. Reviews marked with our verification badge have been confirmed authentic.
TrustCourse maintains a strict anti-fraud policy. Our team reviews suspicious activity patterns and removes reviews that violate our guidelines. We never edit or remove negative reviews just because a course provider doesn't like them, ensuring you get an honest view of the course quality.
Our TrustScore is a weighted average of all reviews. We place higher value on recent, verified reviews from users who completed the entire course. The score considers factors like course content quality, instructor delivery, value for money, platform usability, and support quality.
The most helpful reviews include specific details about your experience, what you learned, and whether the course met your expectations. Mention any standout features or areas where the course could improve. Be honest and balanced in your assessment to help future students make informed decisions.
You can update your review at any time by logging into your TrustCourse account and navigating to your review history. This allows you to reflect changes in your opinion as you progress through the course or if the provider addresses issues you've raised.