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)
Programme Structure
Courses include:
- Classification Analysis
- Regression Analysis
- Clustering Analysis
- Association Rules Analysis
- Data Analysis with Python Project
Key information
Duration
- Part-time
- 2 months
- Flexible
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Data Analytics View 179 other Short Courses in Data Analytics 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
Intermediate level
- Students are expected to have taken the specialization "Data Wrangling with Python" or have equivalent skill sets
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with 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. You'll need to complete this step for each course in the Specialization, including the Capstone Project.