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.

Coursera
Skills you'll gain: Deepseek, LangChain, Generative AI, LLM Application, Tool Calling, AI Workflows, AI Orchestration, Prompt Engineering, Automation, Data Integration, Cross Platform Development, Systems Integration
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Data-oriented programming, Statistical Programming, Data Analysis Software, Data Analysis, Data Science
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: LangChain, LLM Application, Retrieval-Augmented Generation, OpenAI API, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Responsible AI, Generative AI, Agentic systems, Prompt Engineering, Generative AI Agents, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Deployment, Data Processing, Pandas (Python Package)
Intermediate · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Correlation Analysis, Data Visualization Software, Data Quality, Data Science, Jupyter, Data Analysis, Data Preprocessing, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation
Beginner · Specialization · 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: SQL, SAS (Software), Database Management, Query Languages, Case Studies, Data Access, Program Development, Statistical Programming, Data Presentation, Scripting, Perl (Programming Language), Data Processing, Automation, Data Integration, Stored Procedure, Data Manipulation, Data Transformation, Debugging, Data Validation, Data Analysis
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

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

Skills you'll gain: Multimodal Prompts, Prompt Engineering, Responsible AI, Context Management
Beginner · Course · 1 - 4 Weeks

Tableau Learning Partner
Skills you'll gain: Data Literacy, Tableau Software, Business Analysis, Business Process, Analytics, Business Analytics, Business Intelligence, Data Analysis, Data-Driven Decision-Making, Project Management, Data Presentation, Descriptive Analytics, Predictive Analytics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: R Programming, Rmarkdown, Tidyverse (R Package), Ggplot2, Data Import/Export, Data Visualization, Data Analysis, Data Visualization Software, Data Science, Data Manipulation, Data Storytelling, Statistical Analysis, Data Cleansing, Data Integration, Data Transformation, Communication
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Regression Analysis, R (Software), Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Model Evaluation, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics
Beginner · Course · 1 - 4 Weeks