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: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Hypothesis Testing, A/B Testing, Data-Driven Decision-Making, Customer Analysis, Statistical Methods, Market Research, Statistical Analysis, Business Analytics, Probability & Statistics, Statistical Inference, Data Analysis, Descriptive Statistics, Microsoft Excel, Data Analysis Software, Spreadsheet Software
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science
Beginner · Specialization · 3 - 6 Months

IIMA - IIM Ahmedabad
Skills you'll gain: Sampling (Statistics), Probability, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Literacy, Statistical Visualization, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Descriptive Statistics, Sample Size Determination, Data Analysis, Data Science
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Model Evaluation, Content Creation
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Responsible AI, Risking, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, AI Enablement, AI Product Strategy, System Monitoring, Model Evaluation, Performance Tuning, Compliance Management, Technology Roadmaps, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration
Intermediate · Course · 3 - 6 Months

Coursera
Skills you'll gain: Interactive Data Visualization, Data Storytelling, Data Visualization, Dashboard, Business Intelligence, Business Intelligence Software, Data Visualization Software, Data-Driven Decision-Making, Customer Analysis, Data Modeling, Data Analysis, Data Integration, Advanced Analytics, Spatial Data Analysis, Exploratory Data Analysis, Statistical Analysis, Data Transformation, Decision Support Systems, Collaborative Software, Data Validation
Advanced · Specialization · 1 - 3 Months

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

Coursera
Skills you'll gain: Spatial Data Analysis, Geographic Information Systems, Geospatial Information and Technology, Data Analysis, Image Analysis, Data Processing, Data Preprocessing, NumPy, Data Validation, Metadata Management, Data Collection, Data Management
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Geospatial Information and Technology, Geostatistics, Data Validation, Data Transformation, Geometric Dimensioning And Tolerancing
Beginner · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Keras (Neural Network Library), Unsupervised Learning, Apache Hadoop, Data Preprocessing, Data Science, Machine Learning, Tensorflow, Data Mining, Tidyverse (R Package), Statistical Methods, Regression Analysis, Data Analysis, Bayesian Network, Logistic Regression
Intermediate · Course · 3 - 6 Months