Data Science Courses and Certifications

The Power of Statistics

899 ratings at Coursera

Explore statistical concepts and techniques for data analysis, including descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing using Python.

• Coursera
• 1 day 7 hours 10 minutes
• Self-Paced
• Paid Course

Building Data Visualization Tools

158 ratings at Coursera

Develop skills to create custom visualization tools using ggplot2, focusing on new techniques for diverse data types and building blocks to address evolving data science needs.

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

Introduction to Recommender Systems: Non-Personalized and Content-Based

660 ratings at Coursera

Explore non-personalized and content-based recommender systems, learning techniques for product associations, demographic-based recommendations, and personalized filtering using user profiles.

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

Fundamentals of Finance

223 ratings at Coursera

Learn to drive organizational growth through financial analysis, forecasting, budgeting, and strategic decision-making. Master key concepts in profitability, cash flow management, and expense control.

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

Career Certificate

How to Use Data

6 ratings at Coursera

Master essential data analytics skills from SQL and Python to predictive modeling and Tableau, enabling you to transform raw data into actionable business insights and compelling visualizations.

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

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

Machine Learning for Data Analysis

328 ratings at Coursera

Explore machine learning techniques for predictive analysis, covering decision trees, random forests, lasso regression, and k-means clustering. Gain hands-on experience applying these algorithms to real-world data.

• Coursera
• 10 hours 28 minutes
• Self-Paced
• Paid Course

Data Visualization with Tableau Project

589 ratings at Coursera

Créez un portfolio de visualisation de données avec Tableau, en développant une histoire de données percutante à partir de vos propres intérêts et en appliquant des principes de conception avancés.

• Coursera
• 13 hours 2 minutes
• Self-Paced
• Paid Course

Intro to Data Analytics, SQL, and EDA Using Python

Master data analytics fundamentals through SQL and Python, covering data types, big data concepts, database management, and exploratory analysis techniques for real-world problem-solving and visualization.

• Coursera
• 16 hours 46 minutes
• Self-Paced
• Paid Course

Machine Learning Essentials

Explore statistical learning techniques for machine learning, including linear regression and classification. Apply concepts through Python coding assignments and practical problem-solving.

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

Intro to Predictive Analytics Using Python

Master predictive analytics fundamentals using Python, from regression models to advanced techniques like random forests and unsupervised learning, enabling data-driven forecasting and pattern recognition.

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

Data Viz Using Tableau & Presenting With Storytelling

Master Tableau's data visualization capabilities while developing storytelling techniques to transform complex data into compelling, actionable insights for diverse audiences.

• Coursera
• 7 hours 50 minutes
• Self-Paced
• Paid Course

Eindhoven University of Technology

Improving your statistical inferences

802 ratings at Coursera

Enhance statistical inference skills: interpret p-values, design experiments, control false positives, determine sample sizes, and apply Open Science principles for robust empirical research.

• Coursera
• 1 day 3 hours 36 minutes
• Self-Paced
• Paid Course

Fundamentals of Data Analytics in the Public Sector with R

60 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