Statistical

Analysis

—

Hard

Skills

Statistical

Theory

Inference

skills

Experimental

Design

Causal

Inference

skills

Probability

theory

—

discrete

continuous

joint

conditional

distributions

–

Statistical

inference

—

point

estimation

confidence

intervals

hypothesis

testing

–

Bayesian

inference

—

priors

posteriors

credible

intervals

hierarchical

models

–

Estimation

theory

—

maximum

likelihood

method

moments

estimators

–

Sampling

distributions

—

central

limit

theorem

and

asymptotic

theory

–

Hypothesis

testing

frameworks

—

tests

chi

square

tests

likelihood

ratio

tests

–

Power

analysis

sample

size

determination

–

Effect

size

estimation

—

Cohen

odds

ratios

hazard

ratios

eta

squared

–

Analysis

variance

—

ANOVA

ANCOVA

MANOVA

repeated

measures

–

Regression

modeling

—

OLS

logistic

Poisson

generalized

linear

models

–

Nonparametric

methods

—

Mann

–

Whitney

Kruskal

–

Wallis

permutation

tests

–

Resampling

simulation

—

bootstrap

jackknife

Monte

Carlo

methods

–

Multivariate

analysis

—

PCA

factor

analysis

discriminant

and

cluster

analysis

–

Survival

reliability

analysis

—

Kaplan

–

Meier

Cox

proportional

hazards

Weibull

–

Time

series

analysis

—

ARIMA

SARIMA

GARCH

VAR

spectral

analysis

–

Missing

data

handling

—

multiple

imputation

algorithm

MCAR

MAR

MNAR

–

Meta

analysis

evidence

synthesis

–

Linear

algebra

calculus

for

statistics

—

matrix

operations

optimization

derivatives

–

Randomized

controlled

trial

design

—

randomization

allocation

blinding

–

Factorial

fractional

factorial

designs

–

Response

surface

methodology

—

central

composite

Box

–

Behnken

–

Blocking

stratification

—

variance

reduction

techniques

–

multivariate

testing

scale

–

Sequential

testing

alpha

spending

—

group

sequential

Brien

–

Fleming

boundaries

–

Quasi

experimental

methods

—

difference

differences

regression

discontinuity

–

Propensity

score

methods

—

matching

inverse

probability

weighting

–

Causal

graph

analysis

—

directed

acyclic

graphs

confounding

identification

–

Minimum

detectable

effect

calculation

–

Adaptive

allocation

multi

armed

bandits

–

1 / 3

Programming

Statistical

Computing

skills

Data

Management

Engineering

skills

Predictive

Modeling

Machine

Learning

skills

Data

Visualization

Reporting

skills

—

tidyverse

data

table

ggplot

lme

caret

–

Python

—

pandas

NumPy

SciPy

statsmodels

scikit

learn

–

SAS

—

Base

STAT

PROC

SQL

SAS

Macro

language

–

Stata

—

panel

data

survey

commands

post

estimation

–

SPSS

JMP

Minitab

—

point

and

click

statistical

workflows

–

MATLAB

Julia

—

numerical

computation

optimization

routines

–

Bayesian

programming

—

Stan

PyMC

brms

JAGS

MCMC

HMC

sampling

–

Reproducible

research

authoring

—

Markdown

Quarto

Jupyter

knitr

–

Version

control

—

Git

GitHub

branching

code

review

workflows

–

Package

function

development

—

reusable

modules

testing

documentation

–

Performance

optimization

—

vectorization

Rcpp

Cython

Numba

parallel

computing

–

SQL

for

analytics

—

joins

window

functions

CTEs

query

tuning

–

Data

wrangling

reshaping

—

tidying

merging

pivoting

cleaning

–

ETL

ELT

pipeline

development

–

Data

quality

validation

—

schema

checks

outlier

and

anomaly

detection

–

Database

design

—

relational

columnar

NoSQL

data

stores

–

Cloud

data

platforms

—

Snowflake

BigQuery

Redshift

Databricks

–

Workflow

orchestration

—

Airflow

dbt

Dagster

scheduled

pipelines

–

Large

scale

data

processing

—

Spark

Dask

Hadoop

MapReduce

–

API

integration

web

scraping

–

Data

governance

lineage

—

cataloging

metadata

access

control

–

Supervised

learning

—

regression

classification

decision

trees

–

Unsupervised

learning

—

means

hierarchical

clustering

DBSCAN

–

Dimensionality

reduction

—

PCA

SNE

UMAP

factor

rotation

–

Regularization

—

ridge

LASSO

elastic

net

shrinkage

–

Cross

validation

resampling

—

fold

leave

one

out

nested

–

Model

selection

diagnostics

—

AIC

BIC

residual

analysis

calibration

–

Ensemble

methods

—

random

forests

bagging

stacking

–

Gradient

boosting

—

XGBoost

LightGBM

CatBoost

–

Mixed

effects

hierarchical

models

–

Feature

engineering

selection

–

Model

interpretability

—

SHAP

partial

dependence

permutation

importance

–

Model

deployment

monitoring

—

MLOps

drift

detection

model

retraining

–

Statistical

graphics

—

ggplot

matplotlib

seaborn

Plotly

Altair

–

dashboard

platforms

—

Tableau

Power

Looker

Qlik

–

Interactive

visualization

—

Shiny

Streamlit

htmlwidgets

–

Chart

selection

perceptual

design

–

KPI

dashboard

design

—

metric

hierarchy

drill

downs

filters

–

Data

storytelling

—

executive

presentation

narrative

framing

–

Technical

writing

—

methodology

sections

statistical

documentation

–

Automated

reporting

—

parametrized

reports

scheduled

delivery

–

2 / 3

Statistical Analysis Hard Skills — page 3

Domain

Specific

Statistical

Applications

skills

Quality

Compliance

Reproducibility

skills

Biostatistics

clinical

trial

analysis

—

ICH

CDISC

SDTM

ADaM

–

Econometrics

—

panel

data

fixed

random

effects

instrumental

variables

–

Epidemiology

public

health

statistics

–

Finance

risk

modeling

—

VaR

volatility

models

credit

scoring

–

Marketing

analytics

—

attribution

lift

measurement

customer

lifetime

value

–

Survey

methodology

—

sampling

frames

weighting

nonresponse

adjustment

–

Statistical

process

control

—

control

charts

capability

analysis

Six

Sigma

–

Actuarial

insurance

modeling

—

life

tables

loss

distributions

credibility

theory

–

Genomics

bioinformatics

statistics

—

high

dimensional

testing

FDR

control

–

Social

science

psychometrics

—

scale

reliability

item

response

theory

–

Statistical

Analysis

Plan

authoring

–

Regulatory

compliance

— 21

CFR

Part

11,

GxP

ICH

guidelines

–

Submission

support

—

FDA

EMA

eCTD

documentation

packages

–

Programming

validation

—

independent

double

programming

checks

–

Peer

code

review

—

analytical

review

reproducibility

audits

–

Unit

testing

for

analytical

code

—

testthat

pytest

assertions

outputs

–

Study

pre

registration

protocols

–

Data

privacy

ethics

—

HIPAA

GDPR

identification

IRB

requirements

–

Audit

trails

documentation

standards

–

3 / 3

Statistical Analysis Hard Skills

Prompt to Clone This Statistical Analysis Hard Skills

Apply this example's core structure, strategic pacing, and structural hierarchy directly to your own topic.

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Data Visualization Hard Skills

Data Mining Hard Skills

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Bookkeeping Hard Skills

Financial Reporting Hard Skills

Budgeting Hard Skills

Tax Preparation Hard Skills

Payroll Processing Hard Skills

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Accounts Receivable Hard Skills

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