Data Science Courses and Certifications

The Data Scientist’s Toolbox

166 ratings

Introduction to key data science tools and concepts, covering R, RStudio, version control, and data analysis fundamentals for actionable insights.

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

R Programming

246 ratings

Aprenda a programar em R para análise eficaz de dados, incluindo instalação de software, conceitos de programação, funções R, depuração e organização de código.

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

Career Certificate

Executive Data Science

11214 ratings at Coursera

Learn to lead data science projects: assemble teams, navigate the data pipeline, overcome challenges, and drive successful outcomes in this comprehensive executive-focused program.

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

What is Data Science?

77777 ratings at Coursera

Explore data science fundamentals, applications, and career paths. Learn about big data, machine learning, and how organizations leverage data-driven insights for business success and societal impact.

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

Career Certificate

Applied Data Science with Python

34347 ratings at Coursera

Gain practical data science skills using Python, covering statistical analysis, machine learning, visualization, text mining, and network analysis through hands-on projects and popular toolkits.

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

Career Certificate

Data Science: Foundations using R

48222 ratings at Coursera

Master foundational data science skills: R programming, data manipulation, visualization, and reproducible research techniques for effective analysis and communication.

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

Python for Data Science, AI & Development

43658 ratings at Coursera

Learn Python for data science, AI, and development. Master basics, data structures, programming fundamentals, data manipulation, and APIs. Gain practical skills through hands-on labs using Jupyter Notebooks.

• Coursera
• 1 day 20 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Science Foundations

117663 ratings at Coursera

Master essential data science skills through IBM tools and academic foundations, from Python programming to machine learning, preparing for high-demand roles with hands-on projects and industry insights.

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

Tools for Data Science

30358 ratings at Coursera

Explore essential data science tools, languages, and platforms. Gain hands-on experience with Jupyter, RStudio, Git, and more. Develop practical skills for data analysis, visualization, and collaboration.

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

Statistical Inference

34 ratings

Learn to draw conclusions from data using statistical inference techniques, covering probability, distributions, hypothesis testing, and advanced methods for robust analysis.

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

Career Certificate

Introduction to Data Science

102166 ratings at Coursera

Comprehensive introduction to data science fundamentals, covering key concepts, tools, and methodologies. Develop essential skills for data analysis, decision-making, and career advancement in this rapidly growing field.

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

Regression Models

33 ratings

Explore linear and generalized regression models, covering least squares, multivariable analysis, diagnostics, and applications in data science. Learn to interpret results and select appropriate models.

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

Databases and SQL for Data Science with Python

22683 ratings at Coursera

Master SQL for data science: from basics to advanced concepts. Hands-on practice with real databases, Python integration, and project work analyzing multiple datasets. Gain essential skills for data professionals.

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

Data Science Methodology

21086 ratings at Coursera

Learn data science methodology to tackle real-world problems. Explore business understanding, data preparation, modeling, evaluation, and deployment. Apply skills through hands-on labs using Python in Jupyter Notebooks.

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

Career Certificate

Journey into Data Science with Python

1501 ratings at CodeSignal

Master Python-based data science essentials, from NumPy and Pandas to machine learning, through hands-on projects with real datasets like Titanic and airline data. Build practical skills in visualization, preprocessing, and predictive modeling.

• CodeSignal
• 28 hours
• Self-Paced
• Free Certificate
• 7 courses