
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Validation, Data Quality, Data Governance, Data Integrity, Data Pipelines, Verification And Validation, Database Design, SQL, Failure Analysis, Scalability, Root Cause Analysis, Analytical Skills, Analysis, Statistical Analysis
Advanced · Course · 1 - 4 Weeks

Coursera
Intermediate · Course · 1 - 4 Weeks

Coursera
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Dataflow, Data Integrity, Apache Airflow, Data Validation, Version Control, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Data Validation, Data Quality, Data Integrity, Debugging, Data Pipelines, Test Automation, Root Cause Analysis, YAML, Generative AI, Development Testing, Anomaly Detection, Python Programming, DevOps, Dashboard, Reliability, Performance Tuning
Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Governance, Data Collection, Quality Assurance, Data Processing, Data Strategy, Data Analysis, Data Management, Model Evaluation, Data Preprocessing, Data Access, Statistical Analysis, Sampling (Statistics), Verification And Validation, Design Strategies, Threat Detection
Beginner · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services
Intermediate · Specialization · 3 - 6 Months