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University of California, Irvine

Data Science Fundamentals

University of California, Irvine via Coursera Specialization

Overview

This specialization 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.

Syllabus

Course 1: Intro to Analytic Thinking, Data Science, and Data Mining
- Offered by University of California, Irvine. Welcome to Introduction to Analytic Thinking, Data Science, and Data Mining. In this course, we ... Enroll for free.

Course 2: Predictive Modeling, Model Fitting, and Regression Analysis
- Offered by University of California, Irvine. Welcome to Predictive Modeling, Model Fitting, and Regression Analysis. In this course, we will ... Enroll for free.

Course 3: Cluster Analysis, Association Mining, and Model Evaluation
- Offered by University of California, Irvine. Welcome to Cluster Analysis, Association Mining, and Model Evaluation. In this course we will ... Enroll for free.

Course 4: Natural Language Processing and Capstone Assignment
- Offered by University of California, Irvine. Welcome to Natural Language Processing and Capstone Assignment. In this course we will begin ... Enroll for free.

Courses

Taught by

Julie Pai

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