Packt: Statistics for Data Science and Business Analysis

MP4 | Video: AVC 1280×720 | Audio: AAC 44.1 KHz 2ch | Duration: 4 hours 19 minutes | English | 702 MB

Video Description
This course will teach you fundamental skills that will enable you to understand complicated statistical analysis directly applicable to real-life situations. Modern software packages and programming languages are now automating most of these activities, but this course gives you something more valuable—critical thinking abilities. This course will help you understand the fundamentals of statistics, learn how to work with different types of data, calculate correlation and covariance, and more. Careers in the field of data science are some of the most popular in the corporate world today. And, given that most businesses are starting to realize the advantages of working with the data at their disposal, this trend will only continue to grow

Style and Approach
A complete course (packed with extensive case studies, complete training, an HD video, and animations) that covers major statistical topics and helps you become a marketing analyst, a business intelligence analyst, a data analyst, or a data scientist. No prior experience is required for the course.

Table of Contents
INTRODUCTION
SAMPLE OR POPULATION DATA?
THE FUNDAMENTALS OF DESCRIPTIVE STATISTICS
MEASURES OF CENTRAL TENDENCY, ASYMMETRY, AND VARIABILITY
PRACTICAL EXAMPLE: DESCRIPTIVE STATISTICS
DISTRIBUTIONS
ESTIMATORS AND ESTIMATES
CONFIDENCE INTERVALS: ADVANCED TOPICS
PRACTICAL EXAMPLE: INFERENTIAL STATISTICS
HYPOTHESIS TESTING: INTRODUCTION
HYPOTHESIS TESTING: LET’S START TESTING!
PRACTICAL EXAMPLE: HYPOTHESIS TESTING
THE FUNDAMENTALS OF REGRESSION ANALYSIS
SUBTLETIES OF REGRESSION ANALYSIS
ASSUMPTIONS FOR LINEAR REGRESSION ANALYSIS
DEALING WITH CATEGORICAL DATA
PRACTICAL EXAMPLE: REGRESSION ANALYSIS

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