Overview
Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model.
Now that you've taken several courses on data science and machine learning, it’s time to put your learning to work on a data problem involving a real life scenario.
Employers really care about how well you can apply your knowledge and skills to solve real world problems, and the work you do in this capstone project will make you stand out in the job market.
Key facts
In this Data Science and Machine Learning Capstone Project program offered by EdX in partnership with IBMx, you’ll explore data sets in New York’s 311 system, which is used by New Yorkers to report complaints for the non-emergency problems they face.
Upon being reported, various agencies in New York get assigned to resolve these problems. The data related to these complaints is available in the New York City Open Dataset. On investigation, one can see that in the last few years the 311 complaints coming to the Department of Housing Preservation and Development in New York City have increased significantly.
By the end of this course, you will have used real world data science tools to create a showcase project and demonstrate to employers that you are job ready and a worthy candidate in the field of data science.
Programme Structure
What you will learn
Apply your knowledge of data science and machine learning to a real life scenario
- Analyze and visualize data using Python
- Perform a feature engineering exercise using Python
- Build and validate a predictive machine learning model using Python
- Create and share actionable insights to real life data problems
Key information
Duration
- Part-time
- 42 days
- 3 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Portland, United States
Disciplines
Computer Sciences Data Science & Big Data View 468 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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
To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
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International Applies to you
Applies to youNon-residents149 USD / full≈ 149 USD / full - Out-of-State149 USD / full≈ 149 USD / full
Additional Details
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