Online Courses to Learn Optimization

Explore 16 data science courses and free resources covering everything you need to know about Optimization.

Overview

Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. Optimization problems of sorts arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries.[

Related Training

16 learning opportunities
Coursera
Maven Analytics
Complete Visual Guide to Machine Learning
Applied Mathematics Classification Cluster Analysis Correlation Customer Analytics
edX
Georgia Institute of Technology
Computing for Data Analysis

15 weeks, 9 hours/week

Advanced
Jupyter Python SQL Algorithms Applied Mathematics Data Analysis Data Analytics Data Mining
Coursera
IBM
DataOps Methodology
Elaine Hanley

10 hours

Beginner
Artificial Intelligence Automation Classification Cloud Computing Data Analytics
DataCamp
Developing LLM Applications with LangChain

3 hours

Intermediate

36,337
Python Artificial Intelligence Databases Functions Optimization
Coursera
University of Pittsburgh
Interactive, Geospatial & Narrative Data Visualization
Matplotlib Python Seaborn Tableau Dashboards Data Analysis Data Sets Data Visualization Optimization
DataCamp
Introduction to Deep Learning in Python
Dan Becker

4 hours

Beginner

$300

187,458
Keras Python Classification Data Modeling Deep Learning Neural Networks Optimization
DataCamp
Introduction to NoSQL

4 hours

Beginner

8,175
NoSQL PostgreSQL Python Redis SQL Cluster Analysis Data Analytics Data Types Databases Functions
YouTube
Learn Data Science Tutorial - Full Course for Beginners
Barton Poulson

6 hours

Beginner

1,937,834
C C++ Java Python SPSS AB Testing APIs Applied Mathematics Big Data Business Intelligence
Coursera
EDUCBA
Machine Learning with Python: Build & Optimize
Matplotlib NumPy Pandas Python scikit-learn Big Data Classification Cluster Analysis Data Analysis Data Collection
DataCamp
Machine Learning with scikit-learn
Hugo Bowne-Anderson

4 hours

$300
Python scikit-learn Classification Customer Analytics Data Analysis Data Modeling Data Sets
Data Science Graduate Degrees
University of California, San Diego
Rady School of Management
Master of Science in Business Analytics (MSBA)

11 months

$64,675
Amazon Web Services Apache Spark Python SQL Tableau AB Testing APIs Algorithms Applied Mathematics Artificial Intelligence
Data Science Graduate Degrees
University of Notre Dame
Mendoza College of Business
MS in Business Analytics (MSBA)

10 months

$54,580

40
C Hadoop Microsoft Excel Python Qualtrics APIs Algorithms Big Data Cloud Computing Customer Analytics
Coursera
LearnQuest
No-Code Machine Learning and Data Science for Everyone
Data Cleaning Data Science Healthcare Analytics Machine Learning Optimization
Coursera
EDUCBA
NumPy & Pandas: Analyze & Transform Data
NumPy Pandas Data Analysis Data Cleaning Data Sets Optimization Statistical Analysis
Coursera
Whizlabs
Power BI: Data Visualization and Analysis
Power BI Business Intelligence Data Analysis Data Visualization Distributions Marketing Analytics
DataCamp
Scalable AI Models with PyTorch Lightning

3 hours

Intermediate

655
PyTorch Artificial Intelligence Automation Data Modeling Deep Learning Deployment
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Career Relevance

Optimization is most likely to appear on Data Scientist job descriptions where we found it mentioned 33.2 percent of the time.

1. Data Scientist
33.2%
2. Data Engineer
23.2%
3. Data Architect
20.3%
4. Data Analyst
17.1%
5. Business Analyst
9.4%
6. Chief Data Officer
4.2%