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The language used throughout the course, in both instruction and assessments.

## Choose the Introduction to Data Science Course That Aligns Best With Your Educational Goals

**Skills you'll gain:**Data Science, Python Programming, Data Analysis, Data Management, R Programming, Computer Programming, Database Administration, Database Application, Databases, Professional Development, SQL, Data Model, Machine Learning, Statistical Machine Learning, Big Data, Cloud Computing, Data Mining, Deep Learning, IBM Cloud, Regression, Writing**Skills you'll gain:**Big Data, Data Analysis, Data Mining, Data Science, Deep Learning, Machine Learning, Regression, WritingUniversity of Michigan

**Skills you'll gain:**Computer Programming, Data Analysis, Data Management, Python Programming, Statistical Programming, Data Mining, Extract, Transform, Load, Computer Programming Tools, Critical Thinking, Exploratory Data Analysis, General Statistics**Skills you'll gain:**Data Analysis, Data Management, Data Visualization, Databases, Python Programming, SQL, Big Data, Data Mining, Data Science, NoSQL, R Programming, Microsoft Excel**Skills you'll gain:**Python Programming, Computer Programming, Data Analysis- Status: Free
Stanford University

**Skills you'll gain:**General Statistics, Probability & Statistics, Statistical Analysis, Critical Thinking, Basic Descriptive Statistics, Data Analysis, Statistical Tests, Mathematics, Problem Solving, Statistical Visualization - Status: Free
Duke University

**Skills you'll gain:**Data Analysis, General Statistics, Probability & Statistics, Problem Solving, Statistical Analysis, Applied Mathematics, Critical Thinking, Linear Algebra **Skills you'll gain:**Data Engineering, Data Management, Extract, Transform, Load, Databases, Network Security, Big Data, Data Warehousing, Leadership and Management, SQL, Data Science, NoSQLUniversity of California San Diego

**Skills you'll gain:**Mathematics, Problem Solving, Mathematical Theory & Analysis, Algorithms, Critical Thinking, Graph Theory, Combinatorics, Computational Thinking, Probability & Statistics, Computer Programming, Python Programming, Computational Logic, General Statistics, Theoretical Computer Science, Probability Distribution, Strategy, Creativity, Experiment, Calculus, Game Theory, Plot (Graphics), Cryptography- Status: Free
Princeton University

**Skills you'll gain:**Computer Programming, Java Programming, Programming Principles, Computational Thinking, Algorithms, Computational Logic, Theoretical Computer Science, Critical Thinking, Mathematical Theory & Analysis, Problem Solving, Computer Science Coursera Project Network

**Skills you'll gain:**Data Analysis, Microsoft Excel, Data Management, Leadership and Management**Skills you'll gain:**Algorithms, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Deep Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Big Data, Data Science

## In summary, here are 10 of our most popular introduction to data science courses

- Introduction to Data Science:Â IBM
- What is Data Science?:Â IBM
- Introduction to Data Science in Python:Â University of Michigan
- Introduction to Data Analytics:Â IBM
- Python for Data Science, AI & Development:Â IBM
- Introduction to Statistics:Â Stanford University
- Data Science Math Skills:Â Duke University
- Introduction to Data Engineering:Â IBM
- Introduction to Discrete Mathematics for Computer Science:Â University of California San Diego
- Computer Science: Programming with a Purpose:Â Princeton University