Statistical Analysis Courses and Certifications

R For SAS Users

29 ratings at DataCamp

If you have experience with SAS and want to learn R, this is the course for you.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Intermediate Google Sheets

Save yourself hours when working with Google Sheets and gain spreadsheet skills you can use every day.

• DataCamp
• 12 hours
• Self-Paced
• Free Trial Available

Probability, Statistical Inference and Regression Analysis

Apply statistical methods across descriptive statistics, probability distributions, confidence intervals and hypothesis tests, bootstrapping, big data, and regression including diagnostics, regularization, GLMs, and nonlinear models.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Career Certificate

Managerial Economics and Business Analysis

4417 ratings at Coursera

Analyze consumer and producer decisions, market allocations, banking and central bank policy, and use sampling, inference and predictive modeling to guide managerial decisions.

• Coursera
• 12 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses

Introduction to Statistical Analysis: Hypothesis Testing

176 ratings at Coursera

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Python Tutorials for Digital Humanities

Accelerating Pandas with NVIDIA's cuDF: Basic Statistical Analysis and Data Cleaning - Episode 6

Discover how to accelerate statistical analysis and data cleaning on large datasets using NVIDIA's cuDF, a GPU-powered alternative to Pandas, with performance comparisons between CPU and GPU processing.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Statistical Analysis: An Approach of Modelling Turbulence - Lecture 1

Explore statistical analysis methods for turbulence modeling, including types of averages and analytical approaches.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

DigitalSreeni

Statistical Analysis in Python - Comparing Multiple Groups with ANOVA - Tutorial 6

Master ANOVA for comparing multiple groups in Python, covering F-statistics, assumptions, post-hoc testing, and non-parametric alternatives using real datasets.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

USENIX

Anomaly Detection in Time Series from Scratch Using Statistical Analysis

Discover how to implement statistical-based anomaly detection in time series data using Grafana, focusing on visualization, prediction accuracy, and dashboard code implementation.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Objective-See Foundation

From Bits to Behavior - Detecting macOS Command and Control Through Statistical Analysis

Uncover statistical methods to detect macOS command & control communication by analyzing log patterns, timing irregularities, and implementing detection using OSQuery and Filebeat.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Data Analytics Foundations

94 ratings at CreativeLive

A beginner-friendly overview of statistical, forecasting, modeling, and optimization concepts used to turn data into predictive and prescriptive decisions.

• CreativeLive
• 6 minutes
• Self-Paced
• Paid Course

Build foundational data collection, project management, communication, and statistics skills for program analysis.

• Graduate School USA
• Self-Paced
• $5,999.00

Career Certificate

Introduction to Management Analysis Course

25 ratings at Graduate School USA

Learn to run management analysis studies: frame problems with fishbone diagrams, plan research questions, gather data via interviews and questionnaires, apply descriptive and inferential statistics, and report findings.

• Graduate School USA
• Self-Paced
• $1,429.00

Coursera Career Certificate

Market Research Statistical Analysis & Data Visualization

10 ratings at Coursera

Analyze market research data end to end: run statistical tests, build Power BI dashboards, model regressions in R, and turn findings into slides and data-driven narratives.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 11 courses

Statistical Methods and Data Analysis

Build statistical skills to visualize data, compute descriptive statistics and probability distributions, run t-tests, ANOVA and OLS regression, and model big data with random forests and penalized regression.

• Coursera
• 8 weeks, 3 hours a week
• Self-Paced
• Paid Course