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Voltar para Data Science Fundamentals for Data Analysts

Comentários e feedback de alunos de Data Science Fundamentals for Data Analysts da instituição Databricks

17 classificações
6 avaliações

Sobre o curso

In this course we're going to guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world! With the help of our industry-leading data scientists, we’ve designed this course to build ready-to-apply data science skills in just 15 hours of learning. First, we’ll give you a quick introduction to data science - what it is and how it is used to solve real-world problems. For the rest of the course, we'll teach you the skills you need to apply foundational data science concepts and techniques to solve these real-world problems. By the end of this course, you'll be able to leverage your existing data analysis skills to design, execute, assess, and communicate the results of your very own data science projects....
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1 — 5 de 5 Avaliações para o Data Science Fundamentals for Data Analysts

por Dr. S D G

16 de Mai de 2021

I am indeed so happy to finish this course with coursera. Awesome teaching, clear plan and preparation of teaching modules and lab modules. Great exposure. I am so happy that I learnt how to design a course, start from the basics, move up and land with a project. Testing the skills after very session was is a great idea and give good impact on the learning. Overall look forward to take more courses. Thank you

por Leandro C

18 de Abr de 2021

Good explanition, but the exercises are not so practical.

Wait to someone to correct your works is really hard. For this reason, I recommend to star by this course.

por Crystal G

27 de Ago de 2021

A good primer into DS, but only tangentially related to this specialization. Work was done in Databricks, but could very easily have been done outside of it. Was hoping to learn more about DB platform for this specialization. Also, for the most part, the assignments were unclear as to what we were being asked to do.

The peer review of assignments is not a bad concept, but difficult to assess your peers when you (and probably they) don't even understand what is to be assessed.

por Ayon B

8 de Nov de 2021

Not satisfied with the peer review process. Delays generation of specialization certificate. I will not pay for another subscription cycle just to wait for peer review for my assignments. People also don't provide useful comments if they feel that something is wrong with the submission. This leaves the participant wondering where exactly things went wrong.

Also, instead of focusing on pyspark ML would have been better instead of sklearn which most course participants are already familiar with.

por Daniel F

9 de Nov de 2021


The notebooks in the course are broken. Many users posting in the forums but no response from Coursera or Databricks.