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.

Skills you'll gain: SQL, Data Cleansing, Jupyter, Data Literacy, Data Mining, Data Manipulation, Data Preprocessing, Data Wrangling, R (Software), Business Analysis, Model Deployment, Database Management, Relational Databases, Stored Procedure, R Programming, Data Science, Big Data, Computer Programming Tools, Cloud Computing, Python Programming
★ 4.6 (102K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: SQL, Database Management, Relational Databases, Stored Procedure, Databases, Query Languages, Database Theory, Data Access, Jupyter, Data Manipulation, Data Analysis, Transaction Processing, Python Programming
★ 4.7 (23K) · Beginner · Course · 1 - 3 Months

IBM
Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, Data Wrangling, SQL, Plot (Graphics), IBM Cognos Analytics, Data Analysis, Professional Networking, Analytics, Excel Formulas, Data Import/Export, Python Programming, Microsoft Excel
★ 4.6 (100K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Data Wrangling, Plot (Graphics), Exploratory Data Analysis, Model Evaluation, Data Analysis, Data Import/Export, Python Programming, Data Science, NumPy, Data Compilation, Data Collection, Machine Learning
★ 4.6 (62K) · Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, grep, Biostatistics, R (Software), Exploratory Data Analysis, Statistical Analysis, Unix Shell, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Structures, Big Data, Molecular Biology, R Programming, Python Programming
★ 4.5 (6.9K) · Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Model Training, Fine-tuning, Generative AI, Embeddings, Supervised Learning, Artificial Intelligence, Machine Learning Methods
★ 4.8 (147K) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Store, Data Architecture, Apache Hadoop, Extract, Transform, Load, Relational Databases, Big Data, Data Storage, Databases, Operational Databases, Apache Spark, Data Storage Technologies, Data Lakes, Data Warehousing, Data Governance, Data Pipelines, Data Integration, Data Processing, SQL, NoSQL, Data Science
★ 4.7 (3.7K) · Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning, GitHub
★ 4.5 (51K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Generative AI, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), LLM Application, Keras (Neural Network Library), Supervised Learning, Vector Databases, Fine-tuning, Data Import/Export
★ 4.7 (101K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Excel Formulas, Data Cleansing, Pivot Tables And Charts, Spreadsheet Software, Data Wrangling, Microsoft Excel, Data Analysis, Data Quality, Google Sheets, Data Manipulation, Data Integrity, Data Ethics, Data Entry, Data Import/Export, Data Science
★ 4.7 (11K) · Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Processing, Data Cleansing, Data Wrangling, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Data-Driven Decision-Making, Pivot Tables And Charts, Data Analysis, Statistical Methods, Python Programming, Data Import/Export, Scripting Languages, Probability & Statistics, Programming Principles, Text Mining
★ 4.5 (27K) · Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Model Training, Machine Learning, GitHub
★ 4.4 (7.2K) · Intermediate · Specialization · 3 - 6 Months