Numerical Methods Courses

Coursera

Qualitative Research Methods: Capturing Rich Insights

11 ratings at Coursera

Design qualitative studies: frame research questions, conduct interviews, facilitate focus groups, and apply coding and thematic analysis to interpret and present findings ethically.

• Coursera
• 5 hours 47 minutes
• Self-Paced
• Paid Course

Coursera

Mixed Methods Research: Bridging Qualitative & Quantitative

10 ratings at Coursera

Design mixed-methods studies that bridge numbers with narratives: integrate qualitative and quantitative data, handle ethical issues in combined datasets, and turn findings into visual reports.

• Coursera
• 5 hours 4 minutes
• Self-Paced
• Paid Course

Effective Methods of Software Testing Workshop (Live Online)

8 ratings at CourseHorse

Strengthen your software testing skills with the powerful Proactive Testing™ approach, built to surface critical defects earlier, well before they turn into expensive problems.

• CourseHorse
• 20 hours
• Self-Paced
• $2,095.00

Digital Methods for Beginners

Learn to design ethical digital research plans using interviews, questionnaires, social media, and data-collection tools while addressing privacy, consent, and inclusion.

• Coursera
• 6 weeks, 1 hour a week
• Self-Paced
• Paid Course

Agile Foundations: Principles, Mindset, and Core Methods

Apply Agile principles through the Manifesto, compare Lean, Scrum, and Extreme Programming, and foster collaborative environments and behaviors for adaptive project teams.

• Coursera
• 6 weeks, 1 hour a week
• Self-Paced
• Paid Course

CCNA 200-301: Inter-Switch Communication Methods

Configure and troubleshoot VLANs, trunking, and EtherChannel, work with Rapid PVST+ Spanning Tree, and compare TCP and UDP reliability across inter-switch links.

• Coursera
• 6 hours 27 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze and Apply Statistical Methods Using Minitab

Learn to analyze data in Minitab: descriptive statistics and visualization, probability distributions, sampling, hypothesis testing, regression, measurement system analysis, process capability, ANOVA, and control charts.

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

Writing for Inner Calm: Mindset, Methods, and Daily Exercise

Build a sustainable writing life: cultivate a calming mindset, overcome writer's block, practice craft techniques, and use daily exercises and meditation to ground your writing ritual.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

AI Optimization & Experimental Methods

Combine ensemble AI, linear programming, genetic algorithms, and Q-learning with propensity-score matching, causal discovery, A/B tests, and Monte Carlo simulation to build a marketing mix optimization framework.

• Coursera
• 17 weeks, 1 hour a week
• Self-Paced
• Paid Course

Find Clients as a Creative Freelancer: 5 Proven Methods

Apply five proven methods to find freelance clients: prepare your portfolio and positioning, craft a pitch email, and run a repeatable outreach strategy.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Foundations of Data Science and Statistical Methods

Learn data science foundations: probability distributions, inferential statistics and linear algebra, batch and streaming data ingestion, storage options, and exploratory data analysis with common visualizations.

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

EDUCBA

Analyze and Apply Project Finance Methods and Functions

Analyze project finance for infrastructure and BOT schemes: evaluate risks and mitigation, loan pricing, repayment structures, and build models using date and lookup functions.

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

Coursera

Data Foundations & Methods

Define HR metrics like headcount, turnover, and tenure, calculate them in Excel with COUNTIFS and T.TEST, chart workforce trends, and compile executive summary reports.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Performance measures and validation methods

Evaluate classification models with ROC analysis, AUC and C-index, and apply leave-subject-out cross-validation to repeated-measurement biosignal data for unbiased performance estimates.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

EDUCBA

Quantitative Methods for Financial Analysis

Apply statistics to financial data: measure returns with time value of money and DCF, model portfolio risk with probability distributions, and test market indicators and sentiment.

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