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.
Macquarie University
Skills you'll gain: Excel Formulas, Dashboard, Microsoft Excel, Spreadsheet Software, Data Preprocessing, Data Literacy, Data Manipulation, Data Presentation, Excel Macros, Data Storytelling, Data Analysis Software, Business Analytics, Pivot Tables And Charts, Financial Forecasting, Analytical Skills, Advanced Analytics, Business Mathematics, Financial Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Interactive Data Visualization, Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Integration, Heat Maps, Spatial Data Analysis, Data-Driven Decision-Making, Decision Support Systems, Business Intelligence Software, Geospatial Information and Technology, Data Mapping
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: SQL Server Integration Services (SSIS), Extract, Transform, Load, Data Warehousing, Data Transformation, Data Manipulation, Data Analysis, Microsoft SQL Servers, Data Integration, Data Mining, Data Processing, SQL, Dataflow, Workflow Management
Mixed · Course · 1 - 3 Months

Universidad Austral
Skills you'll gain: Supervised Learning, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms, Linear Algebra, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Surveys, Employee Surveys, User Feedback, Microsoft Office, Microsoft 365, Developing Training Materials, Key Performance Indicators (KPIs)
Beginner · Guided Project · Less Than 2 Hours

National Taiwan University
Skills you'll gain: Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Business Analytics, Analytics, Data Analysis, Statistics, Statistical Methods, Feature Engineering, Statistical Inference, Data Transformation, Model Evaluation
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Data Storytelling, Dashboard, Data Visualization, Data Presentation, Interactive Data Visualization, Infographics, Data Literacy, Tableau Software, Data Visualization Software, Presentations, Statistical Visualization, Storytelling, Design Elements And Principles, Data Analysis, Key Performance Indicators (KPIs), Health Informatics, Color Theory, Stakeholder Communications
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL
Beginner · Project · Less Than 2 Hours

Dartmouth College
Skills you'll gain: Business Ethics, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Model Evaluation, Digital Transformation, Data-Driven Decision-Making, Feature Engineering, Regression Analysis, Supervised Learning, Python Programming, Cloud Computing, Data Quality, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Science, Data Management, Organizational Effectiveness, Data Analysis, Data-Driven Decision-Making, Project Design, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference
Mixed · Course · 1 - 4 Weeks

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months