Applied Social Network Analysis in Python

2701 ratings at Coursera

Explore network analysis using NetworkX, covering connectivity, centrality, and network evolution. Learn to model real-world phenomena as networks and apply analysis techniques to various datasets.

• Coursera
• 1 day 2 hours 11 minutes
• On-Demand
• Free Online Course (Audit)

The R Programming Environment

1162 ratings at Coursera

Rigorous introduction to R for data science, covering language fundamentals, tidyverse tools, data manipulation, text processing, and handling large datasets.

• Coursera
• 1 day 3 hours 29 minutes
• On-Demand
• Free Online Course (Audit)

Equip leaders with strategic, human capital, and technical skills to leverage data science for enhanced business outcomes. Develop organizational strategies to unlock data's potential through a 4-lesson program and capstone project.

• Udacity
• 1 month 1 week
• On-Demand
• Paid Course

Executive Data Science Capstone

1554 ratings at Coursera

Lead a virtual data science team at Zillow, making key decisions to shepherd a complex analysis project from start to finish. Apply your skills in a real-world scenario and prepare a final presentation.

• Coursera
• 2 hours 1 minute
• On-Demand
• Free Online Course (Audit)

Microcredential

Applied Data Science with Python

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
• 22 weeks, 7 hours a week
• On-Demand
• Paid Course
• 5 courses

Advanced Linear Models for Data Science 1: Least Squares

187 ratings at Coursera

Explore advanced linear algebra and statistics for data science, focusing on least squares regression, matrix algebra, and linear models to enhance your analytical skills and understanding.

• Coursera
• 8 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

Advanced R Programming

573 ratings at Coursera

Develop powerful, robust data science tools with advanced R programming, covering functional programming, error handling, OOP, profiling, debugging, and function design for reusable analysis tasks.

• Coursera
• 18 hours 6 minutes
• On-Demand
• Free Online Course (Audit)

Building R Packages

222 ratings at Coursera

Learn to create, document, and distribute robust R packages following community standards for maximum usefulness and reusability in data science software development.

• Coursera
• 20 hours 42 minutes
• On-Demand
• Free Online Course (Audit)

Advanced Linear Models for Data Science 2: Statistical Linear Models

95 ratings at Coursera

Explore advanced linear algebra and statistical concepts for regression modeling, enhancing your understanding of least squares, multivariate distributions, and residual analysis.

• Coursera
• 5 hours 40 minutes
• On-Demand
• Free Online Course (Audit)

Degree

Master of Applied Data Science

The Master of Applied Data Science (MADS) degree is designed for aspiring data scientists to learn and apply skills through hands-on projects. You’ll learn how to use data to improve outcomes and achieve ambitious goals.

• Coursera
• On-Demand
• $42,000.00

Microcredential

Data Science for Health Research

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
• On-Demand
• Paid Course
• 3 courses

Data Manipulation at Scale: Systems and Algorithms

766 ratings at Coursera

Explore data manipulation at scale, covering systems and algorithms for processing large datasets. Learn about databases, MapReduce, NoSQL, and graph analytics to effectively handle big data challenges.

• Coursera
• 20 hours 6 minutes
• On-Demand
• Free Online Course (Audit)

Master machine learning DevOps: streamline model deployment, automate workflows, and ensure production-ready ML systems with industry best practices and cutting-edge tools.

• Udacity
• 3 months 4 days 18 hours 48 minutes
• On-Demand
• Paid Course

Appen

Data Engineering

In data engineering for data scientists, you will practice building ETL, NLP, and machine learning pipelines. This will prepare you for the project with our industry partner Figure 8.

• Udacity
• 28 hours
• On-Demand
• Paid Course

Prepare for data science interviews by practicing data analysis, machine learning, and data structure and algorithms questions.

• Udacity
• 1 week
• On-Demand
• Free Online Course