This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization.
This course will introduce you to the field of data science and prepare you for the next three courses in the Specialization: Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
PA
Great content. When you apply yourself to this course , there's no "dirty" data you can't handle.
AG
If someone wants to make their carrier in Data science,It is one fundamental course towards it.The course is good with engaging assignments,quizzes and projects.
MS
This course is more rewarding than I thought. The instructors give step by step explanation of the process also the syllabus of the course is just perfect, Highly recommended.
MZ
Excellent to start your career in machine learning!!!
YJ
It was a good Data Visualization course. I really liked it. It's a good beginner course to start with Data Visualization.
JP
A really good course to learn data preprocessing before implementing the machine learning module.
LJ
I wish the lectures are a bit more engaging. But content-wise it is good.
SS
Pretty easy to start with, especially with a background in CS.
SR
Goes into great detail on ways to actually use the code in sophisticated and useful ways. I feel like this course has started me on building a great python toolkit.
OD
Great course to start with programming for business analytics.
AC
Really nice. Learnt a lot ! Thanks to the faculties and UC San Diego.