Data Science Fundamentals
Master essential data science skills and concepts. Learn analytics, modeling, and data mining techniques for practical applications.
Master essential data science skills and concepts. Learn analytics, modeling, and data mining techniques for practical applications.
This comprehensive specialization introduces learners to fundamental data science concepts and techniques. Through four progressive courses, students explore analytics taxonomy, predictive modeling, cluster analysis, and natural language processing. The program emphasizes practical applications using the Cross-Industry Standard Process for Data Mining (CRISP-DM), combining theoretical knowledge with hands-on experience in solving real business problems.
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What you'll learn
Understand core data science concepts and methodologies
Master the CRISP-DM process for data mining
Develop skills in predictive modeling and regression analysis
Learn cluster analysis and market basket analysis techniques
Gain practical experience with classification models
Explore natural language processing applications
Skills you'll gain
This course includes:
30 Hours PreRecorded video
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FullTime access
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There are 4 courses in this program
Intro to Analytic Thinking, Data Science, and Data Mining
Course 1 · 7 Hours to complete · 4 modules
Predictive Modeling, Model Fitting, and Regression Analysis
Course 2 · 4 Hours to complete · 4 modules
Cluster Analysis, Association Mining, and Model Evaluation
Course 3 · 3 Hours to complete · 4 modules
Natural Language Processing and Capstone Assignment
Course 4 · 4 Hours to complete · 4 modules
Fee Structure
Payment options
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