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 gives us a good balance between theory and practice. I wish there was an intermediate or advanced level to continue.
I learnt alot, a very good foundation course. It made me have more interest in learning more in Data Science particularly using Python language
This course is at right level for a beginner (python and analytics) while going into details around K means clustering
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.