Data Analysis Courses and Certifications

Python Data Visualization

549 ratings at Coursera

Master Python data visualization techniques, from package installation to creating impactful graphics using Pygal. Develop skills in data acquisition, cleaning, analysis, and visualization for practical applications.

• Coursera
• 8 hours 38 minutes
• Self-Paced
• Paid Course

Fundamentals of Data Analytics in the Public Sector with R

61 ratings at Coursera

Learn foundational R programming for public sector data analysis, covering key concepts, tidyverse libraries, and custom functions to analyze population and survey data effectively.

• Coursera
• 14 hours 42 minutes
• Self-Paced
• Paid Course

Career Certificate

Total Data Quality

59 ratings at Coursera

Explore the Total Data Quality framework, focusing on evaluating and maximizing data quality before analysis. Learn essential steps for data collection, understanding sources, and improving quality in scientific investigations.

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

Moneyball and Beyond

53 ratings at Coursera

Explore data analytics in baseball, from basic stats to advanced metrics like WAR. Learn to calculate and analyze performance statistics using Python, enabling informed team and player evaluations.

• Coursera
• 1 day 4 hours 42 minutes
• Self-Paced
• Paid Course

The Total Data Quality Framework

52 ratings at Coursera

Explore the Total Data Quality Framework, covering measurement, representation, and analysis dimensions. Learn to identify and mitigate threats to data quality in both designed and gathered data.

• Coursera
• 11 hours 59 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Science

9 ratings

Master the complete data science pipeline: from asking questions to publishing results. Gain practical skills in data manipulation, visualization, and analysis through hands-on projects using real-world data.

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

Prediction Models with Sports Data

42 ratings at Coursera

Learn to forecast sports game outcomes using Python, focusing on logistic regression modeling with team expenditure data. Apply and evaluate models for EPL, NBA, and NHL, exploring betting odds and analytics.

• Coursera
• 1 day 9 hours 28 minutes
• Self-Paced
• Paid Course

Politics and Ethics of Data Analytics in the Public Sector

18 ratings at Coursera

Explore ethical challenges in public sector data analytics, including bias and decision-making. Apply skills through a capstone project analyzing policy options using real-world data and RStudio.

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

Measurement – Turning Concepts into Data

82 ratings at Coursera

Aprenda a criar e avaliar medidas quantitativas para conceitos complexos. Explore níveis de medição, construção de modelos, pesquisas e avaliação da qualidade das medidas para análises eficazes.

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

Measuring Total Data Quality

Explore metrics for evaluating Total Data Quality at various stages, create quality concept maps, and apply metrics to real data. Learn to assess trade-offs and identify relevant tools for quality evaluation.

• Coursera
• 9 hours 1 minute
• Self-Paced
• Paid Course

Design Strategies for Maximizing Total Data Quality

Explore strategies to maximize data quality across collection, processing, and analysis stages. Learn to assess and improve validity, origin, access, and source quality while minimizing data missingness.

• Coursera
• 9 hours 13 minutes
• Self-Paced
• Paid Course

Career Certificate

Survey Data Collection and Analytics

Comprehensive exploration of survey methodologies, covering questionnaire design, data collection, sampling, missing data handling, and complex data analysis for various research domains.

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

Quantifying Relationships with Regression Models

23 ratings at Coursera

Explore linear regression for measuring variable relationships. Learn to create, interpret, and evaluate bivariate and multivariate models, including binary dependent and interactive models. Develop skills to critically analyze regression analyses.

• Coursera
• 11 hours 13 minutes
• Self-Paced
• Paid Course

Data Analysis with Pandas and Python

26096 ratings at Udemy

Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome!

• Udemy
• 19 hours 28 minutes
• Self-Paced
• Paid Course

Data Literacy Capstone – Evaluating Research

Apply data literacy skills to critically evaluate original quantitative research, interpreting findings and methodologies. Enhance ability to analyze and utilize scholarly work through hands-on project and peer review.

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