Math for Data Science courses can help you learn statistical analysis, linear algebra, probability theory, and calculus. You can build skills in data visualization, hypothesis testing, and regression analysis, which are crucial for interpreting data effectively. Many courses introduce tools like Python, R, and SQL, along with libraries such as NumPy and Pandas, to help you apply these mathematical concepts to real datasets and enhance your analytical capabilities.

Microsoft
Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Warehousing, Business Intelligence, Data Analysis, Time Series Analysis and Forecasting, Performance Tuning, Data Visualization
Beginner · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, AI Orchestration, Prompt Patterns, Generative AI, LangChain, OpenAI API, Ideation, Verification And Validation, Data Presentation, AI Workflows, LLM Application, Productivity, OpenAI, AI Personalization, Document Management, Responsible AI, AI Enablement, Software Development
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: AWS Kinesis, Apache Kafka, Amazon Redshift, Data Lakes, Real Time Data, Data Management, Apache Hive, Apache Spark, Amazon S3, Data Pipelines, Data Processing, Big Data, Apache Hadoop, AWS Identity and Access Management (IAM), Query Languages, Serverless Computing, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, PySpark, Azure Synapse Analytics, Feature Engineering, Data Pipelines, Power BI, Apache Spark, Databases, Microsoft Azure, Extract, Transform, Load, Data Lakes, Databricks, NoSQL, Data Visualization Software, SQL Server Integration Services (SSIS), Cloud Management, Data Governance, Performance Tuning, Big Data, Large Language Modeling
Intermediate · Professional Certificate · 3 - 6 Months

University of Michigan
Skills you'll gain: JSON, Data Processing, Web Scraping, Restful API, Data Manipulation, Application Programming Interface (API), Data Persistence, Python Programming, Data Transformation, Data Structures, Data Collection
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Exploratory Data Analysis, Feature Engineering, Dashboard, Interactive Data Visualization, Data Presentation, Model Evaluation, Data Visualization, Data Pipelines, Project Documentation, Solution Delivery, Amazon Web Services, Data Analysis, Data Integration, Technical Documentation, Business Intelligence, Cloud Infrastructure, Technical Communication, Automation, Project Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Financial Data, Data Analysis, Package and Software Management, R Programming, R (Software), Statistical Analysis, Expense Management, Financial Analysis, Tidyverse (R Package), Data Manipulation, Statistical Visualization, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, ChatGPT, Generative AI, Commercialization, Product Management, Google Gemini, Product Lifecycle Management, Stakeholder Communications, LLM Application, Artificial Intelligence, Customer experience improvement, Team Building, Responsible AI, Return On Investment, Product Development, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Creativity
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Architecture, Microsoft Azure, Data Lakes, Enterprise Architecture, Data Warehousing, Data Integration, Virtualization, Cloud Storage, Data Transformation, Data Governance, Real Time Data, Scalability
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering
Intermediate · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Infrastructure, Data Processing, Distributed Computing, Performance Tuning, Scalability, Data Storage, Python Programming
Mixed · Course · 1 - 3 Months