Data Science: Principles & AI

Sadržava oglase
Kategorizacija sadržaja
Svako
1Ā hilj.+
Preuzimanja
Slika snimka ekrana
Slika snimka ekrana
Slika snimka ekrana
Slika snimka ekrana
Slika snimka ekrana
Slika snimka ekrana
Slika snimka ekrana

O aplikaciji

The definitive study companion for the Principles of Data Science and Artificial Intelligence.

Designed to support one- or two-semester university courses, Data Science: Principles & AI provides a structured academic framework for students and professionals. This app bridges the gap between complex theory and practical application, using Python as a technical supplement to master data-driven decision-making.

Whether you are a Data Science major or studying Business, Healthcare, or Engineering, this app is your digital textbook and interactive tutor for the modern era.

šŸ“š ACADEMIC CORE CURRICULUM

Data Foundations: Explore data collection, web scraping, and the essentials of data cleaning.

Statistical Mastery: Deep dives into descriptive statistics, probability theory, hypothesis testing, and ANOVA.

Predictive Modeling: Master linear regression, correlation analysis, and time series forecasting.

AI & Machine Learning: Foundations of Classification, Decision Trees, Neural Networks (CNNs), and NLP.

šŸŽ„ INTERACTIVE LEARNING: VIDEOS & QUIZZES

Video Lessons: Expert-led breakdowns of complex theoretical concepts and data models.

Exam-Style Quizzes: Test your knowledge with chapter-specific quizzes designed to mirror university-level assessments.

Knowledge Checks: Instant feedback on quantitative problems and critical thinking exercises.

šŸ PYTHON AS A TOOL

This app provides technical illustrations and Python code to supplement the principles and theory.

Access direct links to downloadable datasets.

View Python code examples that bring statistical concepts to life.

Learn to use Python for encoding data, heatmaps, and geospatial plots.

āš–ļø ETHICS & REAL-WORLD CONTEXT

Deep Ethics Coverage: Data ethics and the emergence of AI are woven throughout the material.

Real-World Data: Practice using datasets from the Federal Reserve Economic Database (FRED) and Nasdaq.

Diverse Applications: Scenarios spanning finance, healthcare, social sciences, and demographics.

🌟 STUDENT-CENTRIC FEATURES

Rich Practice: Extensive in-chapter example problems and practice exercises.

Chapter Reviews: Quick-access summaries of key terms and core formulas.

Group Projects: Collaborative scenarios designed for classroom or independent study.

šŸŽÆ WHO IS THIS FOR?

University Students: The perfect companion for Data Science majors and minors.

Non-CS Majors: Essential for those in Finance, Health, or Policy needing data literacy.

Academic Instructors: A supplemental resource to provide students with clean code and data links.

Download Data Science: Principles & AI today and master the theories shaping the future!
Ažurirano dana
4. apr 2026.

Sigurnost podataka

Sigurnost počinje razumijevanjem na koji način programeri prikupljaju i dijele vaŔe podatke. Privatnost podataka i sigurnosne prakse se mogu razlikovati ovisno o koriŔtenju, regiji i dobi. Programer je naveo ove informacije i može ih s vremenom ažurirati.
Podaci se ne dijele s trećim stranama
Saznajte viŔe o načinu na koji programeri pružaju izjavu o dijeljenju
Podaci se ne prikupljaju
Saznajte viŔe o načinu na koji programeri pružaju izjavu o prikupljanju
Podaci se Ŕifriraju tokom prenosa

Å to je novo

What’s New:
šŸŽ¬ Video Hub: Premium data science lessons & analytics guides.
🧠 Expanded Quizzes: 500+ new machine learning & Python questions.
šŸ”” Study Reminders: Personalized nudges to keep learning on track.
šŸŽØ New Design: Edge-to-edge UI for focused data science study.
šŸ“„ Offline Boost: Faster data course downloads & sync.
šŸš€ Instant Loading: Quick caching for lightning-fast quiz access.