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

6,778 already enrolled

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4.3

(154 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

(154 reviews)

Beginner level

Recommended experience

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

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Specialization - 4 course series

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

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

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: Data Analysis
Category: Supervised Learning
Category: Cross Selling
Category: Statistical Analysis
Category: Probability & Statistics
Category: Scatter Plots
Category: Predictive Analytics
Category: Statistical Modeling
Category: Anomaly Detection
Category: AI Personalization
Category: Data Mining
Category: Predictive Modeling
Category: Machine Learning
Category: Classification And Regression Tree (CART)
Category: Market Analysis

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

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Instructor

Julie Pai
5 Courses17,167 learners

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