Data Analysis Courses and Certifications

Advanced Business Analytics: Excel Optimization & Simulation

53 ratings at Coursera

Master advanced Excel modeling techniques for business optimization, from linear programming and sensitivity analysis to simulation methods for data-driven decision-making and strategic problem-solving.

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

Code Free Data Science

216 ratings at Coursera

Gain essential data science skills using KNIME Analytics Platform. Learn predictive modeling, data manipulation, and machine learning without coding. Apply algorithms to real data and interpret results.

• Coursera
• 14 hours 17 minutes
• Self-Paced
• Paid Course

Python and Pandas for Data Engineering

275 ratings at Coursera

Learn Python and Pandas for data engineering, covering environment setup, data manipulation, and analysis. Gain hands-on experience with Jupyter, Vim, and VS Code while exploring essential Python concepts and Pandas operations.

• Coursera
• 2 days 4 hours 12 minutes
• Self-Paced
• Paid Course

Regression Modeling in Practice

274 ratings at Coursera

Aprenda a aplicar e interpretar modelos de regressão linear e logística, explorando associações entre variáveis, testando hipóteses e avaliando a qualidade dos modelos para análise de dados eficaz.

• Coursera
• 10 hours 44 minutes
• Self-Paced
• Paid Course

The Nature of Data and Relational Database Design

103 ratings at Coursera

Comprehensive overview of data types, database design, and SQL, covering business intelligence, statistics, ERD creation, and practical SQL scripting for effective data management and analysis.

• Coursera
• 6 hours 51 minutes
• Self-Paced
• Paid Course

Qualitative Research

475 ratings at Coursera

Explore qualitative research methods, from design to analysis. Learn to create research instruments, recruit participants, conduct focus groups, and interpret data for effective market research.

• Coursera
• 14 hours 41 minutes
• Self-Paced
• Paid Course

Everyday Excel, Part 2

572 ratings at Coursera

Expand Excel skills with advanced data management, financial calculations, "what-if" analyses, and mathematical predictive models. Gain hands-on experience through in-application assignments.

• Coursera
• 21 hours 57 minutes
• Self-Paced
• Paid Course

Wrangling Data in the Tidyverse

33 ratings at Coursera

Master data transformation techniques in R to efficiently reshape, manipulate, and analyze datasets using tidyverse packages, enhancing your ability to handle complex data structures and conduct exploratory analyses.

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

Career Certificate

Social Media Analytics

19 ratings at Coursera

Master advanced social media analytics skills, from machine learning to network analysis. Gain practical insights to influence consumer behavior and enhance digital marketing strategies.

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

Assessing Health Program Delivery

17 ratings at Coursera

Learn to assess and improve health program delivery in low- and middle-income settings, focusing on implementation strength, quality of care, and service utilization for women's and children's health programs.

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

Data Visualization Best Practices

20 ratings at Coursera

Learn effective data visualization techniques, from fundamentals to design principles, focusing on univariate methods and standard charts. Practice with Tableau for impactful visual storytelling.

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

Applied Machine Learning: Techniques and Applications

12 ratings at Coursera

Master applied machine learning techniques for computer vision, data analysis, and model evaluation. Gain hands-on experience with image processing, supervised learning, and essential skills in data pre-processing and performance assessment.

• Coursera
• 19 hours 24 minutes
• Self-Paced
• Paid Course

Social Network Analysis

11 ratings at Coursera

Explore social network dynamics through graph theory, centrality measures, and statistical modeling. Gain skills to analyze relationships, identify influencers, and conduct hypothesis testing using R programming tools.

• Coursera
• 12 hours 32 minutes
• Self-Paced
• Paid Course

Modeling Data in the Tidyverse

10 ratings at Coursera

Learn to model data effectively using the Tidyverse in R. Covers hypothesis testing, regression, machine learning, and more. Gain skills to uncover insights and improve decision-making through data analysis.

• Coursera
• 21 hours 22 minutes
• Self-Paced
• Paid Course

Introduction to Uncertainty Quantification

10 ratings at Coursera

Master the fundamentals of Uncertainty Quantification through probability theory, uncertainty propagation, surrogate modeling, reliability analysis, and Bayesian methods for mathematical and engineering systems.

• Coursera
• 1 day 5 hours 57 minutes
• Self-Paced
• Paid Course