Data manipulation courses can help you learn data cleaning, transformation techniques, and exploratory data analysis. You can build skills in using functions for data aggregation, filtering datasets, and visualizing information effectively. Many courses introduce tools like Python, R, and SQL, that support handling large datasets and performing complex analyses. You'll also explore libraries such as Pandas and NumPy, which streamline data manipulation tasks and enhance your ability to derive insights from raw data.

Skills you'll gain: Power BI, Microsoft Copilot, Data Lakes, Microsoft Azure, Data Architecture, Process Optimization, Process Improvement and Optimization, Real Time Data, Data Modeling, Performance Tuning, Data Pipelines, Interactive Data Visualization, Data Governance, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AI Enablement, Strategic Thinking, Technology Roadmaps, AI Workflows, Generative AI, Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Financial Data, Data-Driven Decision-Making, Profit and Loss (P&L) Management, Risk Modeling, Lending and Underwriting, Applied Machine Learning, Financial Systems, Operational Analysis, Risk Analysis, Anomaly Detection, Statistical Machine Learning, Financial Regulation, Financial Industry Regulatory Authorities
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Scalability, Application Design, Event-Driven Programming, Object Oriented Programming (OOP), Functional Design, Application Development, User Flows, Computer Programming, Integrated Development Environments, Software Architecture, Debugging, Mobile Development, Data Validation, Data Analysis
Beginner · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Real Time Data, Convolutional Neural Networks, Data Transformation, NumPy
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Vision Transformer (ViT), Model Evaluation, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Applied Machine Learning, Dataflow, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines, Computer Vision
Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Business Analytics, Sample Size Determination, Statistical Analysis, Data Analysis, Statistical Methods, A/B Testing, Statistical Software, Estimation, Data-Driven Decision-Making, Business Communication
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Apache Airflow, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Algorithms, Embeddings, Applied Machine Learning, Performance Tuning, Deep Learning, Digital Signal Processing
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Spatial Data Analysis, Geographic Information Systems, GIS Software, Geospatial Information and Technology, Spatial Analysis, Geospatial Mapping, Data Validation, Metadata Management, Geostatistics, Technical Documentation, Query Languages, SQL, Data Import/Export, Global Positioning Systems, Graphic and Visual Design, Data Quality, PostgreSQL, Data Wrangling, Data Mapping, Python Programming
Beginner · Specialization · 3 - 6 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Model Evaluation, Mathematical Modeling, Data Science
Intermediate · Specialization · 3 - 6 Months