Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government.
Ofrecido Por
Foundations of Data Science: K-Means Clustering in Python
Universidad de LondresAcerca de este Curso
You will need mathematical and statistical knowledge and skills at least at high-school level.
Qué aprenderás
Define and explain the key concepts of data clustering
Demonstrate understanding of the key constructs and features of the Python language.
Implement in Python the principle steps of the K-means algorithm.
Design and execute a whole data clustering workflow and interpret the outputs.
Habilidades que obtendrás
- K-Means Clustering
- Machine Learning
- Programming in Python
You will need mathematical and statistical knowledge and skills at least at high-school level.
Programa - Qué aprenderás en este curso
Week 1: Foundations of Data Science: K-Means Clustering in Python
Week 2: Means and Deviations in Mathematics and Python
Week 3: Moving from One to Two Dimensional Data
Week 4: Introducing Pandas and Using K-Means to Analyse Data
Reseñas
- 5 stars72,65 %
- 4 stars21,48 %
- 3 stars3,32 %
- 2 stars1,36 %
- 1 star1,17 %
Principales reseñas sobre FOUNDATIONS OF DATA SCIENCE: K-MEANS CLUSTERING IN PYTHON
This course has great potential for future Data Scientists and it gives a breif explination of what we are dealing in the companies by giving us real life problems and making us solve those problems.
This course was excellent. Though I already knew the concepts in this course and the programing skills, it has inspired me to 100% take the MSC provided. Excellent lectures. Just Excellent.
Highly recommended to anyone who wants to delve into data science. The instruuctors, the universities and Coursera team are well dedicated and the course is of high quality.
It was a great journey to get through it. Thanks a lot to all the instructors for their valuable job and effort :)
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si compro el Certificado?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Estudiante.