Udemy - Statistics for Data Analysts and Scientists

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[ DevCourseWeb.com ] Udemy - Statistics for Data Analysts and Scientists
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Welcome to the Course.mp4 (24.9 MB)
    • 2. Introduction to Statistics.mp4 (35.3 MB)
    • 3. Statistical Scale of Measurement.mp4 (19.0 MB)
    • 4. Common Terms in Statistics.mp4 (40.3 MB)
    10. Multiple Linear Regression Analysis
    • 1. Multiple Linear Regression Overview.mp4 (133.2 MB)
    • 2. Running the Test.mp4 (24.4 MB)
    • 3. Interpret the Results of Multiple Linear Regression Analysis.mp4 (34.6 MB)
    11. One Way Analysis of Variance
    • 1. One Way Analysis of Variance Test Overview.mp4 (100.1 MB)
    • 2. Running the Test.mp4 (36.8 MB)
    • 3. Interpret the Results of One Way Analysis of Variance Test.mp4 (44.9 MB)
    2. Course Resources
    • 1. Downloading IBM Statistics.mp4 (9.7 MB)
    • 2. Course Resources.mp4 (3.7 MB)
    • 3. Acknowledgement.mp4 (3.3 MB)
      • Example data
      • age_income.sav (1.3 KB)
      • clothing_expenses.sav (1.2 KB)
      • examrevision.sav (0.6 KB)
      • herrings.sav (1.2 KB)
      • parsley.sav (1.2 KB)
      • phone_brands.sav (1.7 KB)
      • reaction_times.sav (1.6 KB)
      • study_time.sav (0.9 KB)
      3. Understanding Inferential Statistics
      • 1. Intro to Inferential Statistics.mp4 (46.4 MB)
      4. Chi Square Test of Independence
      • 1. Chi Square Test of Independence Overview.mp4 (30.0 MB)
      • 2. Running the Test.mp4 (39.7 MB)
      • 3. Interpret the Results of Chi Square Test of Independence.mp4 (18.4 MB)
      5. One Sample t-test
      • 1. One Sample t-test Overview.mp4 (40.2 MB)
      • 2. Running the Test.mp4 (19.3 MB)
      • 3. Interpret the Results of One Sample t-test.mp4 (34.6 MB)
      6. Independent Sample t-test
      • 1. Independent Sample t-test Overview.mp4 (41.4 MB)
      • 2. Running the Test.mp4 (30.8 MB)
      • 3. Interpret the Results of Independent Sample t-test.mp4 (16.9 MB)
      7. Dependent (Paired) Sample t-test
      • 1. Dependent or Paired Sample t-test Overview.mp4 (47.4 MB)
      • 2. Running the Test.mp4 (21.5 MB)
      • 3. Interpret the Results of Dependent Sample t-test.mp4 (10.8 MB)
      8. Correlation Analysis
      • 1. Pearson Correlation Analysis Overview.mp4 (46.8 MB)
      • 2. Running the Test.mp4 (18.2 MB)
      • 3. Interpret the Results of Correlation Analysis.mp4 (15.8 MB)
      9. Simple Linear Regression Analysis
      • 1. Simple Linear Regression Analysis Overview.mp4 (91.9 MB)
      • 2. Running the Test.mp4 (30.3 MB)
      • 3. Interpret the Results of Simple Linear Regression Analysis.mp4 (30.7 MB)
      • Bonus Resources.txt (0.4 KB)

Description

Statistics for Data Analysts and Scientists



https://DevCourseWeb.com

Published 2/2023
Created by Olanrewaju Oyinbooke
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 Lectures ( 2h 31m ) | Size: 1.11 GB

Ultimate course to master practical and business applications of essential statistical tests and concepts

What you'll learn
Develop a deep understanding of key statistical concepts, such as homoscedasticity of variance, multicollinearity, and homogeneity of variance
Gain the skills to apply statistical tests and concepts to real-world situations and communicate insights to key stakeholders
Understand how statistical tools can be used to gain insights into complex data sets and how these insights can be used to drive critical business decisions
Learn through practical examples, and case studies that will help them understand how statistical tests can be applied in real-world situations
Gain the confidence and expertise to excel as a data analyst or scientist, and apply statistical methods to a wide range of data-driven challenges
Understand the practical and business applications of essential statistical tests, including the Chi Square test, t-tests, correlation, Regression, etc
Learn how to conduct and interpret key statistical tests, including one-sample t-test, independent sample test, correlation and linear regression, OneWay ANOVA

Requirements
No programming or prior experience of statistics required



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Udemy - Statistics for Data Analysts and Scientists

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1.1 GB
seeders:11
leechers:11
Udemy - Statistics for Data Analysts and Scientists

Torrent hash: 186DA1AC27152950776E96D500408540D0E3D8EE