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Qualitative and Mixed Methods Data Analysis Using Dedoose® A Practical Approach for Research Acro…

By uploader on June 13, 2026

Qualitative and Mixed Methods Data Analysis Using Dedoose® A Practical Approach for Research Across the Social Sciences, 2e | 45.2 MB

Title: Qualitative and Mixed Methods Data Analysis Using Dedoose® A Practical Approach for Research Across the Social Sciences, 2e
Author: Michelle Salmona, Dan Kaczynski, Sara E. Grummert
Category: Nonfiction, Reference & Language, Reference, Education & Teaching, Social & Cultural Studies, Social Science
Language: English | 403 Pages | ISBN: 9781071949955

Precision Medicine Improving Healthcare with Data Science and Machine Learning

By uploader on June 12, 2026

Precision Medicine Improving Healthcare with Data Science and Machine Learning | 74.73 MB

Title: Precision Medicine: Improving Healthcare with Data Science and Machine Learning
Author: Prasad Lokulwar, Basant Kumar Verma, Mitu Sehgal, Kailash Kumar & Mohan Kolhe
Category: Nonfiction, Health & Well Being, Medical, Specialties, Preventive Medicine
Language: English | 282 Pages | ISBN: 1032945443

Research Data that Can Be Trusted

By uploader on June 11, 2026

Research Data that Can Be Trusted | 15.5 MB

Title: Research Data that Can Be Trusted
Author: Michael Bouzinier, Dmitry Etin, Naeem Khoshnevis, Max Shad, Scott Yockel
Category: Nonfiction, Computers, Database Management, Advanced Computing, Artificial Intelligence, Health & Well Being, Medical
Language: English | 206 Pages | ISBN: 0306831287

Query And Explore Data In Databricks Sql

By uploader on June 10, 2026

Query And Explore Data In Databricks Sql
Released 6/2026
By Lucian Lazar
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 15m 35s | Size: 172.9 MB
Data teams waste hours hunting through unfamiliar tables, writing one-off queries that nobody can find later, and rebuilding the same filtering logic repeatedly because there’s no systematic approach to data exploration.
Data teams waste hours hunting through unfamiliar tables, writing one-off queries that nobody can find later, and rebuilding the same filtering logic repeatedly because there’s no systematic approach to data exploration. Without structured query skills and organized workflows, analysts spend more time searching and recreating work than actually discovering insights.

Python For Data Science & Machine Learning Foundations

By uploader on June 10, 2026

Python For Data Science & Machine Learning Foundations
Published 6/2026
Created by General Gichohi Kihara
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 32 Lectures ( 6h 33m ) | Size: 2.8 GB
Master NumPy, Pandas, Matplotlib, Scikit-Learn & PyTorch with real African datasets – before your first ML model.
What you’ll learn
⚡ Write clean Python for data science: comprehensions, OOP, file I/O, and *args/**kwargs
⚡ Use NumPy arrays, broadcasting, and vectorisation instead of slow Python loops
⚡ Wrangle messy real-world data using Pandas groupby, merge, and feature engineering
⚡ Produce publication-quality EDA charts with Matplotlib and Seaborn
⚡ Build production-ready Scikit-Learn pipelines that prevent data leakage

Coursera – Applied Bayesian Data Analysis Specialization

By uploader on June 10, 2026

Coursera – Applied Bayesian Data Analysis Specialization
Released 5/2026
By Konstantinos Pelechrinis – University of Pittsburgh
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 61 Lessons ( 4h 10m ) | Size: 1.4 GB
Master Bayesian Methods for Data Analysis.
What you’ll learn
⚡ Apply Bayes’ theorem, conjugate priors, and MCMC methods to perform Bayesian inference and construct credible intervals for parameter estimation.
⚡ Build and validate Bayesian regression models including linear, hierarchical, and GLM models for predictive analytics and model comparison.
⚡ Implement advanced Bayesian methods-variational inference and non-parametric modeling-for complex data analysis and Bayesian decision theory.

Microsoft Excel For Project Data Analysis And Reporting

By uploader on June 9, 2026

Microsoft Excel For Project Data Analysis And Reporting
Published 6/2026
Created by Hesamoddin Kheirbakhsh
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 28 Lectures ( 4h 24m ) | Size: 3.3 GB
Master Excel using real-world project databases, reporting techniques, Pivot Tables, VLOOKUP, SUMIF, COUNTIF
What you’ll learn
⚡ Work with real project databases in Excel
⚡ Analyze and compare project data professionally
⚡ Create reports using practical Excel formulas
⚡ Use IF, IFS, VLOOKUP, SUMIF, SUMIFS, and COUNTIFS in projects
⚡ Analyze project data with Pivot Tables and Conditional Formatting