COM SCI X 450.2 - Exploratory Data Analysis and Visualization
160090
Delivery Options
Hybrid
and
Online
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Course Description
Data science involves uncovering key intelligence by analyzing historical data to learn what happened in the past, and predictive analytics to forecast what may happen in the future. This iterative process is called exploratory data analysis (EDA). Effective data visualization is also an integral component of the process, and quickly becoming a top business intelligence and analytics technology. In this course, you’ll learn skills including EDA, data analysis techniques and data exploration, with a specific focus on visualization utilizing Tableau.Course Outline
Learn the iterative process of exploratory data analysis (EDA), data analysis techniques, data exploration, and visualization. Course tools include R for data analysis and Tableau for data visualization.Course Outline
The core objectives of the course are:
- to provide solid understanding of the process of Exploratory Data Analysis
- to educate students in data exploration, analysis, and visualization
- to train students in industry standard tools for data analysis and visualization
Course Major Topics:
- Exploratory Data Analysis: Explore, Visualize, Analyze, Repeat
- Selective data collective and data exploration
- Data analysis
- Data visualization (using Tableau, D3.js)
Recommendations
COM SCI X 450.1 Introduction to Data Science or equivalent experience.Applies Towards the Following Certificates
- Applications Programming : Elective Courses
- Business Analysis : Electives
- Data Science : Required Courses
- Data Science with Concentration in Cybersecurity : Required Courses
- Database Management : Electives
- Study Abroad at UCLA Program : Required
- Systems Analysis : Electives
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