University of California, Irvine
Data Science Fundamentals Specialization
University of California, Irvine

Data Science Fundamentals Specialization

Gain an overview of data science fundamentals.

Julie Pai

Instructor: Julie Pai

Access provided by New York State Department of Labor

6,438 already enrolled

Get in-depth knowledge of a subject
4.3

(149 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.3

(149 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Taught in English

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 California, Irvine
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Specialization - 4 course series

Intro to Analytic Thinking, Data Science, and Data Mining

Course 17 hours4.2 (147 ratings)

What you'll learn

  • The knowledge and skills needed to work in the data science profession

  • How data science is used to solve business problems

  • The benefits of using the cross-industry standard process for data mining (CRISP-DM)

Skills you'll gain

Category: Predictive Analytics
Category: Business Intelligence
Category: Data Mining
Category: Analytics
Category: Big Data
Category: Descriptive Analytics
Category: Data Science
Category: Data Ethics
Category: Business Analytics
Category: Data-Driven Decision-Making
Category: Small Data
Category: Data Analysis

What you'll learn

  • The application of predictive modeling to professional and academic work

  • Applications of classification analysis: decision trees

  • Applications of regression analysis (linear and logistic)

Skills you'll gain

Category: Predictive Modeling
Category: Regression Analysis
Category: Decision Tree Learning
Category: Classification And Regression Tree (CART)
Category: Predictive Analytics
Category: Supervised Learning
Category: Forecasting
Category: Descriptive Analytics
Category: Data Modeling
Category: Unsupervised Learning
Category: Machine Learning
Category: Statistical Modeling
Category: Data Analysis
Category: Analytics

What you'll learn

  • Cluster analysis and segmentation

  • Collaborative filtering and market basket analysis

  • Applications of classification- and regression-type prediction models

Skills you'll gain

Category: Correlation Analysis
Category: Regression Analysis
Category: Unsupervised Learning
Category: Statistical Analysis
Category: Scatter Plots
Category: Statistical Modeling
Category: Cross Selling
Category: Anomaly Detection
Category: Data Mining
Category: Classification And Regression Tree (CART)
Category: Predictive Analytics
Category: Machine Learning

Natural Language Processing and Capstone Assignment

Course 44 hours4.3 (40 ratings)

What you'll learn

  • Applications of natural language processing

  • Basics of social media analytics

  • Future trends and possibilities in data science

Skills you'll gain

Category: Big Data
Category: Social Media
Category: Data Science
Category: Deep Learning
Category: Internet Of Things
Category: Text Mining
Category: Business Analytics
Category: Geospatial Information and Technology
Category: Predictive Modeling
Category: Unstructured Data
Category: Customer Analysis
Category: Analytics
Category: Data Analysis
Category: Cloud Computing
Category: Natural Language Processing
Category: Machine Learning Methods

Instructor

Julie Pai
5 Courses16,428 learners

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