Statistical Analysis Courses and Certifications

Career Certificate

Decision Support Analytics Course

Master a five-step framework for data-driven decision-making in federal agencies, from defining analytical questions to presenting actionable insights that support organizational goals.

• Graduate School USA
• Self-Paced
• $1,199.00

Career Certificate

Python for Data Science

Master Python programming fundamentals and data analysis techniques through hands-on projects with real datasets, visualization tools, and statistical methods.

• VDCI
• 30 hours
• Self-Paced
• $1,495.00

Career Certificate

Data Analytics Certificate Online

Master data analysis, visualization, and statistical methods through hands-on projects with Excel, Python, SQL, Tableau, and machine learning for analyst careers.

• VDCI
• 156 hours
• Self-Paced
• $4,995.00

Career Certificate

Python for Data Science

Master Python fundamentals and data analysis skills, from data manipulation to statistical analysis and visualization, using hands-on projects with real-world datasets.

• VDCI
• 30 hours
• Self-Paced
• $1,495.00

Career Certificate

Advanced Business Analytics

5261 ratings at Coursera

Gain practical skills in SQL, statistical analysis, and data interpretation to drive business growth and profitability. Learn to extract insights, make predictions, and communicate results effectively.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Hypothesis Testing with Python

1 rating

Master statistical analysis through hands-on Python implementation of t-tests, Mann-Whitney U tests, ANOVA, and Chi-Square tests to make data-driven decisions and validate hypotheses.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

Methods and Statistics in Social Sciences

7952 ratings at Coursera

Develop research skills for social sciences: design studies, analyze data, and interpret results. Learn quantitative and qualitative methods, basic and inferential statistics, culminating in a final research project.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 9 courses

Career Certificate

Strategic Business Analytics

1285 ratings at Coursera

Develop business intelligence insights using statistical techniques in R, covering analytics approaches across industries and learning to present findings effectively to stakeholders.

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

Designing, Running, and Analyzing Experiments

596 ratings at Coursera

Learn to design, conduct, and analyze user-centered experiments for evaluating UX, IxD, and HCI. Gain practical skills in R programming to statistically validate designs through real-world examples and hands-on data analysis.

• Coursera
• 15 hours 11 minutes
• Self-Paced
• Paid Course

Statistics

7 ratings

We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions.

• Udacity
• 32 hours
• Self-Paced
• Free Online Course

Data Analysis Bootcamp (Full-time) (Live Online)

2637 ratings at CourseHorse

Launch your career in data analytics through the ultimate tech skills and networking opportunities packed into a 12-week program.

• CourseHorse
• 480 hours
• Self-Paced
• $16,450.00

IBM Data Analyst Capstone Project

1346 ratings at Coursera

Apply data analysis skills to real-world datasets, covering collection, wrangling, exploration, visualization, and dashboard creation. Culminates in a comprehensive report showcasing proficiency with various tools and techniques.

• Coursera
• 1 day 1 hour 56 minutes
• Self-Paced
• Paid Course

Experimentation for Improvement

937 ratings at Coursera

Learn efficient experimentation techniques to optimize systems using multiple variables. Gain practical skills for planning and analyzing experiments in various fields, using simple tools and free software.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Career Certificate

Data Literacy

268 ratings at Coursera

Develop critical skills in interpreting statistical results through descriptive statistics, data visualization, measurement, regression modeling, and probability, enhancing your ability to evaluate quantitative analyses.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

数理统计及其工程应用

Master 数理统计 through practical engineering applications using R and SPSS software. Learn sampling distributions, parameter estimation, hypothesis testing, and advanced statistical analysis methods with real-world case studies.

• XuetangX
• Self-Paced
• Free Online Course