MP4 | Video: AVC 1280x720 | Audio: AAC 44.1 KHz 2ch | Duration: 4 hours 19 minutes | English | 702 MBVideo DescriptionThis 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 growStyle and ApproachA 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 ContentsINTRODUCTIONSAMPLE OR POPULATION DATA?THE FUNDAMENTALS OF DESCRIPTIVE STATISTICSMEASURES OF CENTRAL TENDENCY, ASYMMETRY, AND VARIABILITYPRACTICAL EXAMPLE: DESCRIPTIVE STATISTICSDISTRIBUTIONSESTIMATORS AND ESTIMATESCONFIDENCE INTERVALS: ADVANCED TOPICSPRACTICAL EXAMPLE: INFERENTIAL STATISTICSHYPOTHESIS TESTING: INTRODUCTIONHYPOTHESIS TESTING: LET'S START TESTING!PRACTICAL EXAMPLE: HYPOTHESIS TESTINGTHE FUNDAMENTALS OF REGRESSION ANALYSISSUBTLETIES OF REGRESSION ANALYSISASSUMPTIONS FOR LINEAR REGRESSION ANALYSISDEALING WITH CATEGORICAL DATAPRACTICAL EXAMPLE: REGRESSION ANALYSIS