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: Prompt Engineering, ChatGPT, Data Validation, LLM Application, AI Product Strategy, Data Analysis, Applied Machine Learning, OpenAI, Data-Driven Decision-Making, Analytical Skills, Exploratory Data Analysis, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Preprocessing, Data Structures, Data Cleansing, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Visualization, Data Visualization Software, Data Visualization, Scatter Plots, Plot (Graphics), Box Plots, Exploratory Data Analysis, Histogram, Descriptive Statistics, Heat Maps, Graphing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization
Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Bayesian Network, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Classification Algorithms
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Machine Learning Methods, Motion Graphics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Power Platform, Customer Analysis, Management Reporting, Real Time Data, Marketing Analytics, Trend Analysis, Performance Analysis
Beginner · Course · 1 - 4 Weeks

Unilever
Skills you'll gain: Data Governance, Data Storytelling, Presentations, Data Visualization, Supply Chain, Data Management, Supply Chain Management, Data Analysis, Data Visualization Software, Data Quality, Analytical Skills, Data Cleansing, Data Collection, Google Sheets, Spreadsheet Software, Pivot Tables And Charts, Exploratory Data Analysis, Data Validation, Risk Management, Problem Solving
Beginner · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, AI Enablement, Research Methodologies, Social Sciences, Applied Machine Learning, Responsible AI, Analytics, Machine Learning, Data Mining, Ethical Standards And Conduct, Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Sampling (Statistics), Data Analysis, Descriptive Statistics, Box Plots, Statistics, Statistical Analysis, Probability & Statistics, Data Visualization Software, Exploratory Data Analysis, Histogram, R Programming, Scatter Plots, Data-Driven Decision-Making, Microsoft Excel
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Resource Allocation, Customer Insights, Marketing Effectiveness, Customer Relationship Management, Analytical Skills, Target Audience, Statistical Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Hypothesis Testing, Clinical Data Management, Clinical Assessment, Data Analysis, Analytics, Machine Learning Methods, Healthcare Ethics, Health Informatics, Regression Analysis, Predictive Analytics, Supervised Learning, Statistical Analysis, Statistics, Probability & Statistics, Decision Tree Learning, Random Forest Algorithm
Intermediate · Course · 1 - 4 Weeks