Data Structures and Algorithms courses can help you learn about arrays, linked lists, trees, and graph structures, along with sorting and searching algorithms. You can build skills in problem-solving, optimizing code efficiency, and analyzing algorithm complexity. Many courses introduce tools like Python, Java, or C++ for implementing these concepts, as well as platforms for coding challenges that reinforce your understanding through practical application.

Johns Hopkins University
Skills you'll gain: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, Data Infrastructure, File Systems, Data Processing, Data Management, Analytics, Data Science, Databases, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Performance Tuning, Software Architecture
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Prompt Engineering, ChatGPT, Data Validation, LLM Application, AI Product Strategy, Data Analysis, Applied Machine Learning, OpenAI, Data-Driven Decision-Making, Analytical Skills, Exploratory Data Analysis, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Python Programming
Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis, Python Programming, Data Science, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours
University of Michigan
Skills you'll gain: Data Quality, Data Collection, Data Management, Data Validation, Data Analysis, Data Preprocessing, Threat Detection, Data Access, Sampling (Statistics)
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Database Management, Data Integration, SQL, Dataflow, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Query Languages, Machine Learning
Intermediate · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis, Applied Mathematics, Statistics, Computer Science
Build toward a degree
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: R (Software), Model Evaluation, Statistical Modeling, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistics, Scripting, Statistical Hypothesis Testing, Package and Software Management, Data Import/Export
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Matplotlib, Data Visualization Software, Data Structures, Data Manipulation, Pandas (Python Package), NumPy, Exploratory Data Analysis, Python Programming, Data Preprocessing, Scripting, Scripting Languages
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Cloud Security, Data Loss Prevention, Data Security, Personally Identifiable Information, Information Privacy, Cloud Computing, Google Cloud Platform, Cloud Services
Beginner · Project · Less Than 2 Hours

University of Colorado System
Skills you'll gain: Marketing Analytics, Probability & Statistics, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Statistical Analysis, Marketing Effectiveness, Statistical Hypothesis Testing, Customer Insights, Customer Analysis, Correlation Analysis, Descriptive Statistics, Data Analysis, Analytics, Marketing Strategies, Exploratory Data Analysis, Statistical Visualization, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks