PenseumPenseum
πŸ“Š Data Science Essentials

πŸ“Š Data Science Essentials

Mathematics
ByDaniel Wu
Description
Unlock the power of data with πŸ“Š 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, πŸ“Š 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 mins
Students
337 Members
Language
English