Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.

Skills you'll gain: Trend Analysis, Financial Analysis, Data Import/Export, Business Reporting, Financial Data, Data Transformation, Accounting Records, Microsoft Excel, Performance Analysis, Financial Reporting, Data Processing
Beginner · 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

Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Validation, Data Analysis Software, Data Analysis, Statistical Analysis, Financial Analysis, Data Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Databricks, Big Data, Distributed Computing, Public Cloud, Cloud Computing, Data Lakes, Cloud Platforms, Data Processing, Scalability, Analytics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Integration, Performance Tuning, Serverless Computing, Database Architecture and Administration, Data Quality, Data Transformation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Plotly, Interactive Data Visualization, Data Presentation, Data Visualization Software, R Programming, Data Mapping, Statistical Reporting, Software Documentation, Web Applications, Package and Software Management
Mixed · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Data Preprocessing, Machine Learning
Intermediate · Course · 1 - 4 Weeks