
π Data Science Essentials
Mathematics
ByDaniel Wu
Description
Unlock the power of data with π Data Science Essentials, designed for undergraduate students eager to master data analysis and predictive modeling. This course at our school offers a comprehensive introduction to data science, covering key concepts like machine learning, data visualization, and statistical methods. You'll learn to clean and interpret data, build models, and communicate insights effectively. Gain hands-on experience with tools such as Python and R, and explore real-world applications that prepare you for careers in analytics, research, and technology. Whether you're aiming to excel in exams or launch a data-driven project, π Data Science Essentials equips you with the foundational skills to succeed. Enroll today and start transforming data into actionable knowledge.Course content
Data Science Lecture Notes
Treatment Compliance Strategy
Subject Percentage Blocks
Spread Mean Gap
Web Data Extraction
Linear Regression Modeling
Root Mean Square Error
Independent Event Probability
Ticket Number Count
Population Standard Deviation
Selection Bias Types
Sampling Without Replacement
Extreme Value Hypothesis Test
T Distribution Shape
Independent Plant Experiments
ByDaniel Wu
Students Rating
5 (2)Duration
1 h 12 minsStudents
337 MembersLanguage
English