Regression analysis courses can help you learn statistical modeling, hypothesis testing, and data interpretation. You can build skills in understanding relationships between variables, making predictions, and assessing model accuracy. Many courses introduce tools like R, Python, and Excel, which are commonly used for performing regression analysis and visualizing data trends.

Skills you'll gain: Hedge Accounting, Derivatives, Private Equity, Portfolio Risk, Risk Modeling, Loans, Risk Management Framework, Regression Analysis, Accounting, Fund Accounting, Risk Analysis, Investment Management, Financial Reporting, Financial Accounting, Equities, Generally Accepted Accounting Principles (GAAP), Performance Measurement, Portfolio Management, Performance Analysis, Risk Management
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Machine Learning, Model Evaluation, Regression Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

American Psychological Association
Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Quantitative Research, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistics, Data Analysis, Regression Analysis, Research Design, Research, Psychology
Beginner · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Linear Algebra, Data Visualization, NumPy, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Jupyter, Data Manipulation, Classification Algorithms, Regression Analysis, Data Structures, Software Installation
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Classification Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Decision Tree Learning, Data Mining, Exploratory Data Analysis, Regression Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation
Beginner · Course · 3 - 6 Months

Case Western Reserve University
Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: SAS (Software), Descriptive Statistics, Market Data, Risk Modeling, Regression Analysis, Statistical Methods, Financial Modeling, Statistical Hypothesis Testing, Correlation Analysis, Data Analysis Software, Statistical Analysis, Quantitative Research, Financial Market, Time Series Analysis and Forecasting, Trend Analysis, Financial Analysis, Variance Analysis
Mixed · Course · 1 - 4 Weeks