Data Protection Courses

Credential

Software Architecture for Big Data

107 ratings at Coursera

Learn principles and patterns for architecting large-scale distributed systems that handle big data. Gain industry insights on building performant software for data-intensive applications.

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

Statistical Estimation for Data Science and AI

94 ratings at Coursera

Learn statistical inference, sampling distributions, and confidence intervals. Explore estimation methods, construct good estimators, and develop confidence intervals for various settings. Gain practical skills for data analysis and interpretation.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Fundamentals of Software Architecture for Big Data

92 ratings at Coursera

Aprende a construir y escalar sistemas distribuidos intensivos en datos, aplicando prácticas de ingeniería de software y microservicios. Ideal para profesionales y graduados recientes en ciencia de datos o informática.

• Coursera
• 20 hours 29 minutes
• Self-Paced
• Paid Course

Python Packages for Data Science

79 ratings at Coursera

Explore essential Python packages for data science: Pandas, NumPy, Matplotlib, and Seaborn. Learn data manipulation and visualization techniques to enhance your data analysis skills.

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

Data Mining Methods

72 ratings at Coursera

Explore core data mining techniques including pattern analysis, classification, clustering, and outlier analysis. Learn advanced methods for complex data and discover research frontiers in the field.

• Coursera
• 1 day 25 minutes
• Self-Paced
• Paid Course

Credential

Statistical Modeling for Data Science Applications

62 ratings at Coursera

Develop advanced statistical modeling skills for data science, including linear regression, ANOVA, and generalized linear models, with practical applications using R programming.

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

Credential

Expressway to Data Science: R Programming and Tidyverse

56 ratings at Coursera

Master R programming and Tidyverse for data science: import, tidy, and visualize data using ggplot2. Develop skills for reproducible research and advanced data analysis techniques.

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

Credential

Data Science Methods for Quality Improvement

53 ratings at Coursera

Gain data analysis skills for quality improvement in business and industry. Learn RStudio, RMarkdown, and techniques to enhance performance, quality, and reliability across various sectors.

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

Statistical Inference and Hypothesis Testing in Data Science Applications

53 ratings at Coursera

Learn hypothesis testing for data science applications, covering theory, implementation, and ethical considerations. Develop skills to make informed decisions from data using statistical inference techniques.

• Coursera
• 1 day 12 hours 40 minutes
• Self-Paced
• Paid Course

Ethical Issues in Data Science

51 ratings at Coursera

Explore ethical challenges in data science, including privacy, security, bias, and medical applications. Gain insights to navigate ethical considerations in your data science career.

• Coursera
• 23 hours 52 minutes
• Self-Paced
• Paid Course

Credential

Statistics and Applied Data Analysis

48 ratings at Coursera

Master statistical concepts from basics through advanced analysis, using Excel and R for data visualization, hypothesis testing, and predictive modeling across three progressive levels.

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

Credential

The Data Driven Manager

45 ratings at Coursera

Learn to understand, describe, and analyze data for informed decision-making. Develop skills in data visualization, probability, risk assessment, and problem-solving to drive business and engineering outcomes.

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

Fundamentals of Data Visualization

43 ratings at Coursera

Explore data visualization design, development, and evaluation. Learn to create effective visualizations, use exploratory tools, and craft data narratives through hands-on experience with user-centered design and web-based techniques.

• Coursera
• 15 hours 3 minutes
• Self-Paced
• Paid Course

Credential

Data Wrangling with Python

40 ratings at Coursera

Master essential data wrangling skills with Python, covering tools, collection, understanding, preprocessing, and visualization. Gain practical experience through exercises and a final project to tackle real-world data challenges.

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

Statistics and Data Analysis with Excel, Part 1

41 ratings at Coursera

Learn foundational statistics concepts and apply them using Excel. Covers descriptive statistics, probability, and probability distributions. Ideal for beginners in data science and analytics.

• Coursera
• 16 hours 31 minutes
• Self-Paced
• Paid Course