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: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning
Intermediate · Specialization · 3 - 6 Months
Knowledge Accelerators
Skills you'll gain: Power BI, Data Visualization, Dashboard, Data Presentation, Business Intelligence, Data Modeling, Data Import/Export, Interactive Data Visualization, Data Transformation, Data Visualization Software, Data Analysis Expressions (DAX), Data Storytelling, Pivot Tables And Charts, Data-Driven Decision-Making, Data Cleansing, Microsoft 365, Microsoft Teams, Key Performance Indicators (KPIs)
Beginner · Course · 1 - 3 Months

Skills you'll gain: SQL, Query Languages, Relational Databases, Database Management, Databases, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Google Sheets, Data Literacy, Data Visualization Software, Spreadsheet Software, Big Data, Data Storytelling, Data Analysis, Data Presentation, Google Cloud Platform, Data Integration, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Structures, Java Programming, Java, Theoretical Computer Science, Programming Principles, Algorithms, Object-Relational Mapping, Computer Programming Tools
Intermediate · 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

Skills you'll gain: Data Validation, Data Cleansing, Alteryx, Data Quality, Microsoft Excel, Data Integrity, Data Integration, Data Import/Export, Data Loss Prevention, Anomaly Detection
Intermediate · Guided Project · Less Than 2 Hours

Howard University
Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: User Research, UI/UX Research, Prototyping, Design Research, User Experience, User Experience Design, User Interface and User Experience (UI/UX) Design, Persona (User Experience), Artificial Intelligence, Experience Design, User Centered Design, Prompt Patterns, User Interface (UI), Design, Design Thinking, User Interface (UI) Design, Wireframing, Presentations, Responsible AI, Professional Development
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Prompt Engineering, Generative AI, Cloud Deployment, Image Analysis, Computer Vision, Convolutional Neural Networks, Classification Algorithms
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Model Evaluation
Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Jupyter, Data Analysis, Data Preprocessing, Machine Learning
Beginner · Project · Less Than 2 Hours