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Overview
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.
This Foundations of Data Science - K-Means Clustering in Python course offered by Coursera in partnership with University of London, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses.
You will consider these fundamental concepts on an example data clustering task, and you will use this example to learn basic programming skills that are necessary for mastering Data Science techniques. During the course, you will be asked to do a series of mathematical and programming exercises and a small data clustering project for a given dataset.
What You Will Learn
- 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.
Skills you'll gain
- Data Analysis
- Computer Programming
- Python Programming
- Statistical Programming
- Machine Learning
- Machine Learning Algorithms
- General Statistics
- Data Visualization
Programme Structure
Courses include:
- Data Science: K-means Clustering in Python
- Means and Deviations in Mathematics and Python
- Moving from One to Two Dimensional Data
- Pandas and Using K-means to Analyse Data
- A Data Clustering Project
Key information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Data Science & Big Data Software Engineering View 416 other Short Courses in Computer Sciences in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner Level
- You will need mathematical and statistical knowledge and skills at least at high-school level.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved.
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