Data Protection Courses

Answering Interesting Questions with Data

Learn to scrape, manage, and visualize data from the internet using Python, SQL, and various tools. Develop skills to answer complex questions through effective data analysis and representation.

• Coursera
• 1 day 5 hours 32 minutes
• On-Demand
• Paid Course

Microcredential

Understanding Data: Navigating Statistics, Science, and AI

51 ratings at Coursera

Develop data literacy skills to critically evaluate statistics, scientific research, and AI claims. Enhance decision-making abilities and learn to support perspectives with quality information.

• Coursera
• 12 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

The Total Data Quality Framework

49 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
• On-Demand
• Paid Course

Prediction Models with Sports Data

41 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
• On-Demand
• Paid Course

How to Describe Data

26 ratings at Coursera

Develop critical skills to evaluate and interpret data in everyday life, focusing on uncertainty, measurement, and statistical literacy without complex math.

• Coursera
• 9 hours 9 minutes
• On-Demand
• Paid Course

AI-Powered Data Analysis: A Practical Introduction

23 ratings at Coursera

Explore AI-powered data analysis, from foundations to advanced techniques. Learn to leverage tools like ChatGPT for data acquisition, cleaning, visualization, and practical applications across various domains.

• Coursera
• 3 hours 58 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

Microcredential

Data-Oriented Python Programming and Debugging

17 ratings at Coursera

Master Python debugging with the OILER framework while learning data manipulation and analysis using NumPy, pandas, and SciPy libraries to produce high-quality, readable, and reproducible code for data science projects.

• Coursera
• 16 weeks, 5 hours a week
• On-Demand
• Paid Course
• 4 courses

How Science Turns Data Into Knowledge

14 ratings at Coursera

Evaluate scientific claims, understand research methods, and interpret statistical results critically. Gain skills to analyze science news and develop a nuanced perspective on data and information.

• Coursera
• 11 hours 2 minutes
• On-Demand
• Paid Course

Microcredential

Data Science for Health Research

12 ratings at Coursera

Learn to organize, visualize, and analyze health data using R for statistical modeling, linear regression, and logistic regression to make data-informed decisions in public health.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

NumPy and Pandas Basics for Future Data Scientists

12 ratings at Coursera

Master NumPy and pandas libraries for efficient data manipulation, from basic array operations to advanced techniques like broadcasting, reshaping, sorting, and joining arrays for numerical computing and data science.

• Coursera
• 19 hours 2 minutes
• On-Demand
• Paid Course

Exploratory Data Analysis for the Public Sector with ggplot

11 ratings at Coursera

Develop data visualization skills using R and ggplot2 for public sector analysis. Learn to create informative charts, explore distributions, and apply best practices in data presentation for public administration.

• Coursera
• 18 hours 18 minutes
• On-Demand
• Paid Course

Microcredential

More Applied Data Science with Python

11 ratings at Coursera

Master advanced Python data analysis techniques including data mining, clustering, network modeling, and information extraction using real-world datasets and machine learning libraries.

• Coursera
• 12 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Data Structures for Designers Using Python

Explore data structures and object-oriented programming in Python for design applications. Learn to use Processing for visual content creation and vector math for efficient data management in creative projects.

• Coursera
• 1 day 2 hours 51 minutes
• On-Demand
• Paid Course

Microcredential

Survey Data Collection and Analytics

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

• Coursera
• On-Demand
• Paid Course
• 6 courses