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1. Analytics
1. Analytics
By: Richard Smolik
1 to 200 Math, Master Class For Data Science 1, 200+ working on4Decks292Flashcards1Learner -
GSBA 542 - Fall 2023
GSBA 542 - Fall 2023
By: Nelly Tian
Great Leadership Starts With Self-Awareness (Forbes), 5 Simple Ways to Become a Better Leader Today (Inc.), What Google Learned From Its Quest to Build the Perfect Team (Duhigg)28Decks704Flashcards3Learners -
21PSY-2AL-D2 PN
21PSY-2AL-D2 PN
By: Jess Aspin
Social Influence: Minority Influence & Social Change - MR, Research Methods: Hypotheses - DS, Memory: Explanations For Forgetting Pro/Retroactive Interference & Retrieval Failure Due To Absence Of Cues - JWW100Decks3,595Flashcards25Learners -
21PSY-2AL-C3 MR
21PSY-2AL-C3 MR
By: Jess Aspin
Social Influence: Minority Influence & Social Change - MR, Research Methods: Hypotheses - DS, Memory: Explanations For Forgetting Pro/Retroactive Interference & Retrieval Failure Due To Absence Of Cues - JWW COPY86Decks3,307Flashcards9Learners -
Psychology and AI
Psychology and AI
By: oisin mcelwain
Introduction, Prologue: Terrified, Chapter 1 + 310Decks235Flashcards1Learner -
Methodology
Methodology
By: Anton Freund
3. Chapter The starting Point: Asking Questions, Chapter 4: Data and Nature of Measurement, Chapter 5. Correlational and Differential methods of research11Decks161Flashcards17Learners -
Psychology: Research Methods
Psychology: Research Methods
By: Bella Davis
Experimental Method, Controlling Variables, Types of Experiment23Decks275Flashcards1Learner -
NSCA CSCS Flashcards
NSCA CSCS Flashcards
By: Paul Buono
Chapter 2 - Biomechanics, Chapter 3 - Bioenergetics of Exercise and Training, Chapter 4 - Endocrine Responses to Resistance Exercise16Decks587Flashcards1Learner -
Dangerous World Lecture Slides
Dangerous World Lecture Slides
By: Kieran Busby
Lecture 1: Introduction, Lecture 2: Magnitude, frequency and long term view, Lecture 3: Risk, Vulnerability, Sustainability20Decks377Flashcards2Learners -
Statistics for Data Analysis
Statistics for Data Analysis
By: Kelly Carmody
Fundamentals of Descriptive Statistics(Udemy Statistics for Data Science and Business Analysis), Measures of Central Tendency, asymmetry, and variability(Udemy Statistics for Data Science and Business Analysis), Distributions(Udemy Statistics for Data Science and Business Analysis)8Decks84Flashcards1Learner -
Data Science Interview Prep
Data Science Interview Prep
By: Kyle Newman
Statistics, SQL, Machine Learning8Decks157Flashcards2Learners -
Scientific Basis of Medicine
Scientific Basis of Medicine
By: Chrissy Taaffe
Research Methods - Encountering evidence, Research Methods - Representing risk, Research Methods - Calibrating cases35Decks1,073Flashcards1Learner -
research methods
research methods
By: Holly Scott
observational techniques, pilot studies and blind procedures, observational design29Decks253Flashcards2Learners -
psychology research methods
psychology research methods
By: Chloe Perryman
Experimental Method, Control of Variables, Types of Experiment25Decks285Flashcards1Learner -
!i want to die
!i want to die
By: g g
experimental method, research issues, experimental design27Decks191Flashcards1Learner -
python
python
By: Jinkyu Kim
Python for Data Science1Decks89Flashcards2Learners -
*Data Science Learning - January 2024
*Data Science Learning - January 2024
By: Hannah Madoff
The Data Science Handbook, Data Science for Dummies2Decks46Flashcards1Learner -
Information Design
Information Design
By: Renske UvT
(2) College 1: Functionele analyse, (3) Mangen, Walgermo & Brønnick (2013): Reading linear text on paper versus computer, (4) Kruikemeier et al. (2018): Learning from news on different media platforms: an eye tracking experiment18Decks240Flashcards8Learners -
Science Extension
Science Extension
By: Sophie Fox
Mod 1: The Development of Modern Science, Mod 1: Influences on Scientific Thinking, Mod 2: Developing the Question and Hypothesis10Decks108Flashcards1Learner -
SBM
SBM
By: Renée Theunissen
FM advantage in an internet-enabled market environment, Competing on Resources, The Rise of Corporate Science in AI16Decks180Flashcards2Learners -
Product Planning - Needs & opportunities
Product Planning - Needs & opportunities
By: Louise Selin
Course introduction, Product Planning, Customer needs12Decks111Flashcards1Learner -
M a c
M a c
By: Elegant Angel
Ch. 1 - The Science of Macroeconomics, Ch. 2 - The Data of Macroeconomics, Ch. 3 - National Income: Where It Comes From and Where It Goes41Decks1,979Flashcards3Learners -
Pawan's Courses
Pawan's Courses
By: Kamath Pawan
CyberSecurity Course Cards, Python For Data Science Course (IBM)2Decks17Flashcards2Learners -
PSYSTAT
PSYSTAT
By: ROUANNA YSABELLE GUCE
01.01-01.02---MEASURES OF CENTRAL TENDENCY, MEASURES OF VARIABILITY FOR MODE/MEDIAN/MEAN, 01.03_Pt.1---NORMALITY, NON-NORMALITY, 01.03_Pt.2---DATA TRANSFORMATION, AREAS UNDER THE NORMAL CURVE, Z-SCORES & Z DIST., TRANSFORMED SCORES12Decks175Flashcards1Learner -
Data Science from Scratch with Python
Data Science from Scratch with Python
By: Thomas Reinecke
Python Basics for Data Science, Statistics, Probability16Decks84Flashcards1Learner -
Data Engineer
Data Engineer
By: Derek Meier
Course 1: Introduction to Data Engineering, Course 2: Python for Data Science, AI & Development, Course 4: Introduction to Relational Databases (RDBMS)3Decks165Flashcards1Learner -
MT
MT
By: Zoe Bentler
What is real science?, How to do science well, Making Data Visible14Decks153Flashcards1Learner -
Y2 PAS
Y2 PAS
By: Jason Li
Data Analysis 1-3: Comparing means & medians, comparing Frequencies, PHEBP: Clinical Trials for the Treatment of Heart Disease, PHEBP: Precision in Estimates of Treatment Effects8Decks36Flashcards5Learners -
MIS + DWH
MIS + DWH
By: Héctor Aguilera
01 Data Science for Business, 02 Data Warehouse Architecture, DWH Tool overview, 03 Information Needs Analysis and DWH Schema18Decks71Flashcards1Learner -
Big Data Analytics
Big Data Analytics
By: Susanne t
L1: Data sources and data collection, L2: LLMS, L3: Big Data Analytics for the organization19Decks96Flashcards1Learner