353 Data Analysis Courses
Social Network Analysis is a course that delves into the science of social networks, exploring their structure, evolution, and influence. Students will learn to...
Sports Performance Analytics provides an in-depth exploration of sports analytics, using real data sets from various sports leagues to construct predictive models...
Learn to write simple and complex SQL CASE statements to query databases efficiently.
SQL for Data Science Capstone Project is a hands-on course designed to equip learners with the essential SQL skills to analyze data, solve business problems, and...
Learn how to use SQL Mathematical Functions to manipulate tables in a database in this 2-hour project-based course.
SQL: A Practical Introduction for Querying Databases is a comprehensive course that equips learners with foundational and intermediate SQL knowledge necessary for...
Statistical Analysis using Python Numpy involves using statistical capabilities to find the significance of student test data from two groups.
Discover the power of storytelling in data analysis with this guided project. Learn to captivate your audience and convey insights effectively.
Structured Query Language (SQL) using SAS is a comprehensive course that equips learners with the skills to query and manipulate data in SAS programs using SQL,...
Learn to optimize supply chain networks using MILP on RStudio in under 2 hours.
Learn to build a Support Vector Machine for classification using scikit-learn and the Radial Basis Function (RBF) Kernel.
Survey Data Collection and Analytics is a comprehensive specialization covering survey fundamentals, data collection methods, and analysis techniques, culminating...
This Tableau Business Intelligence Analyst course prepares you for entry-level roles in business intelligence analytics. Gain essential skills in data manipulation,...
Tableau를 사용한 대시보드 및 스토리텔링 작성 과정은 데이터 시각화와 스토리텔링에 중점을 두고 있습니다.
Text Marketing Analytics is a specialized course offering advanced methods in text classification, topic modeling, and network analysis for marketing data.
This course provides an introduction to essential tools and concepts for data scientists. Students will learn to set up R, R-Studio, GitHub, and other useful tools,...
Discover the essential dimensions of the Total Data Quality Framework in this comprehensive course.
Tidyverse Skills for Data Science in R offers a comprehensive exploration of the Tidyverse framework, covering data importing, wrangling, visualization, and modeling....