
Overview
This Data Analysis with Python Specialization offered by Coursera in partnership with University of Colorado Boulder will provide a comprehensive overview of various techniques for analyzing data. The courses will cover a wide range of topics, including Classification, Regression, Clustering, Dimension Reduction, and Association Rules.
The courses will be very hands-on and will include real-life examples and case studies, which will help students develop a deeper understanding of Data Analysis concepts and techniques. The courses will culminate in a project that demonstrates the student's mastery of Data Analysis techniques.
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from University of Colorado Boulder
Skills you'll gain
- Data Clustering Algorithms
- Dimensionality Reduction
- K-Means Clustering
- Principal Component Analysis (PCA)
- Dbscan
- Ensemble Learning
- Linear Regression
- Cross Validation
- regression
- Scikit-Learn
- Bayesian Statistics
- Logistic Regression
- Support Vector Machine (SVM)
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Classification Analysis
- Regression Analysis
- Clustering Analysis
- Association Rules Analysis
- Data Analysis with Python Project
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 months
- Flexible
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Data Analytics View 182 other Short Courses in Data Analytics in United StatesExplore more key information
Visit programme websiteWhat 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
Intermediate level
- Students are expected to have taken the specialization "Data Wrangling with Python" or have equivalent skill sets
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months.
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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. You'll need to complete this step for each course in the Specialization, including the Capstone Project.