Overview
This Data Science Fundamentals course offered by Coursera in partnership with University of California Irvine demystifies data science and familiarizes learners with key data science skills, techniques, and concepts. The course begins with foundational concepts such as analytics taxonomy, the Cross-Industry Standard Process for Data Mining, and data diagnostics, and then moves on to compare data science with classical statistical techniques. The course also provides an overview of the most common techniques used in data science, including data analysis, statistical modeling, data engineering, manipulation of data at scale (big data), algorithms for data mining, data quality, remediation and consistency operations.
Applied Learning Project
This specialization includes a capstone assignment in the fourth course that allows students to apply what they've learned about data science to a practical business scenario.
This assignment requires students to evaluate a business scenario and then choose the best analytical approach that solves the stated business problem.
Skills You Will Gain:
- Environmental Data Analysis
- Data Documentation
- Geophysical Data
- Data Mining
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Visit programme websiteProgramme Structure
Courses include:
- Intro to Analytic Thinking, Data Science, and Data Mining
- Predictive Modeling, Model Fitting, and Regression Analysis
- Cluster Analysis, Association Mining, and Model Evaluation
- Natural Language Processing and Capstone Assignment
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- Flexible
Start dates & application deadlines
Language
Delivered
Disciplines
Data Science & Big Data View 592 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteAcademic 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
- No previous experience necessary
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 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.