Udemy - Statistics for Data Science - A Comprehensive Journey
Statistics for Data Science: A Comprehensive Journey
https://WebToolTip.com
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 25m | Size: 1.4 GB
Building the Foundation of Statistical Knowledge for Data-Driven Insights
What you'll learn
Understand key statistical concepts like probability, distributions, and hypothesis testing for effective data-driven decisions.
Apply descriptive and inferential statistics to summarize data, draw conclusions, and make predictions.
Use statistical models like regression to analyze data, identifying patterns, relationships, and trends.
Evaluate data quality and apply statistical reasoning to solve data science problems and make informed decisions.
Requirements
Basic Mathematics - Familiarity with high school-level math, including algebra and basic arithmetic operations.
Foundational Data Concepts - Understanding of data types (e.g., categorical, numerical) and basic data handling in spreadsheets or simple programming environments.
Introductory Programming Knowledge - Basic experience in Python or R is helpful, as some examples and exercises may involve code.
Logical Thinking - Ability to analyze problems and approach them systematically, which is essential for statistical reasoning.