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.

Vanderbilt University
Skills you'll gain: Business Leadership, Proposal Writing, Thought Leadership, Brainstorming, Artificial Intelligence, Risk Management Framework, Human Resource Strategy, Project Management Software, Business Transformation, Problem Solving, Decision Making
Beginner · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Performance Testing, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Development Environment, Hardware Architecture, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Software Design, Flask (Web Framework), Version Control, File Management, Linux, Software Development Methodologies, Software Design Patterns, Application Deployment, Data Import/Export, Programming Principles, Web Scraping, Python Programming
Beginner · Specialization · 3 - 6 Months

Universidad Nacional Autónoma de México
Skills you'll gain: NoSQL, Data Warehousing, Relational Databases, Database Management, Extract, Transform, Load, SQL, Databases, Data Mining, Business Intelligence, Big Data, Database Architecture and Administration, Information Systems, Database Systems, MySQL, Predictive Analytics, Database Design, MongoDB, Data Modeling, Scalability, Database Management Systems
Intermediate · Specialization · 3 - 6 Months

University of Washington
Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms
Mixed · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Data Storytelling, Data Presentation, Exploratory Data Analysis, Design Elements And Principles, Data Analysis, Color Theory, Data Ethics, User Centered Design, Human Factors
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Cybersecurity, Security Controls, Information Systems Security, Security Management, Information Systems Security Assessment Framework (ISSAF), Network Security, Cyber Risk, Security Information and Event Management (SIEM), Information Assurance, Data Ethics, Ethical Standards And Conduct, SQL
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Power BI, Dashboard, SQL, Microsoft SQL Servers, Data Security, Data Analysis, Data Visualization Software, Data Modeling, Data Management, Role-Based Access Control (RBAC)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Forecasting, Machine Learning
Intermediate · Course · 1 - 4 Weeks