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Basic Statistics for Data Science

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Data Science Resources Data Science Statistics Statistics Fundamentals Statistics for Data Science

Basic Statistics for Data Science

Basic Statistics for Data Science
#

Important Webpages on Statistics
#

  1. Statistical Inference – an overview - ScienceDirect Topics
  2. Welcome – The Data Journalism Handbook
  3. Calculus – Get Help from Online Calculus Tutor - Math@TutorVista.com
  4. Probability
  5. Mathopolis Question Database
  6. Addition Rules for Probability - Math Goodies
  7. Combinations Calculator (nCr)
  8. Large Enough Sample Condition – Statistics How To
  9. Z Table - Z Table
  10. Probability in Python – Dataquest
  11. Z Score to Confidence Level Calculator – Evolytics - Data Analytics
  12. How to Find a Confidence Interval: The Easy Way! – Statistics How To
  13. Lesson 17: Distributions of Two Discrete Random Variables
  14. Optipedia: Glossary of CRO Terms & Acronyms
  15. Chi-square statistic for hypothesis testing (video) - Khan Academy
  16. Statistics Workbook For Dummies Cheat Sheet
  17. Polynomials – Definition, Types, Degree and Solved Examples
  18. Algebra 1 – Mathplanet
  19. Mathplanet

Websites to Learn Basic Statistics
#

  1. https://byjus.com
  2. https://calculatorsoup.com
  3. https://datajournalismhandbook.org
  4. https://dataquest.io
  5. https://dummies.com
  6. https://evolytics.com
  7. https://khanacademy.org
  8. https://math.tutorvista.com
  9. https://mathgoodies.com
  10. https://mathopolis.com
  11. https://mathplanet.com
  12. https://mathsisfun.com
  13. https://newonlinecourses.science.psu.edu
  14. https://optimizely.com
  15. https://sciencedirect.com
  16. https://statisticshowto.datasciencecentral.com
  17. https://ztable.net
Dr. Hari Thapliyaal's avatar
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Dr. Hari Thapliyaal

Writes on data science & AI, project management, and Advaita Vedanta—and builds training and consulting work around those threads.

  • Education: Doctorate in AI/NLP (SSBM, Geneva); masters study across computer science, business, data science, and economics.
  • Career: 30+ years in management and technology leadership; 16+ years across the software product lifecycle; a decade in PM training, coaching, and consulting; hands-on Data Science/AI product solution delivery, course design, and mentoring in GenAI, ML, Deep Learning, NLP and Analytics.
  • Verticals: Solutions and delivery across logistics, BFSI, investment banking, NGOs, staffing, and industrial engineering.
  • Strengths: Clarifying messy stakeholder problems and turning them into practical outcomes.

Away from work: long meditation and quiet time in nature.

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