Classes
Data Science

Subject: Information Technology

🧩 74 Practice Tests & Quizzes 📘 227 Study Guides
Introduction

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining.

Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science.


Latest Practice Tests / Quizzes
📝 Basic Data Analytics and Visualization Practice Test (Tableau)
📝 Data Science Practice Test Questions: Developing Data Products and Working with NumPy
📝 Data Science Practice Test Questions: Machine Learning
Latest Study Guides
📄 Data Science and Machine Learning 101: Programming and Data Engineering - Working with Big Data, Spark, Hadoop, Distributed Computing Basics
📄 Data Science and Machine Learning 101: Programming and Data Engineering - Version Control and ML Experiment Tracking, Git, DVC, MLflow
📄 Data Science and Machine Learning 101: Programming and Data Engineering - SQL for Analytics, Joins, Window Functions, Aggregations, Subqueries
Exam Survival Guides
Survival guide for this class coming soon.