About this Specialization

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.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approximately 4 months to complete
Suggested pace of 1 hour/week
English
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approximately 4 months to complete
Suggested pace of 1 hour/week
English

There are 4 Courses in this Specialization

Course1

Course 1

Intro to Analytic Thinking, Data Science, and Data Mining

4.1
stars
27 ratings
8 reviews
Course2

Course 2

Predictive Modeling, Model Fitting, and Regression Analysis

4.3
stars
13 ratings
Course3

Course 3

Cluster Analysis, Association Mining, and Model Evaluation

4.6
stars
16 ratings
1 reviews
Course4

Course 4

Natural Language Processing and Capstone Assignment

4.7
stars
10 ratings
1 reviews

Offered by

Placeholder

University of California, Irvine

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