Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation
Beginner · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Model Evaluation, Data Science, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, Exploratory Data Analysis, Statistical Analysis
Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Classification Algorithms, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Project Planning, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Demand Planning, Customer Demand Planning, Supply Chain Planning, Production Planning, Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Inventory Management System, Data Analysis, R Programming, Data Visualization, R (Software), Model Evaluation
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Ggplot2, Plot (Graphics), Data Visualization Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Scatter Plots, Tidyverse (R Package), R Programming, Box Plots, Histogram, Animations, Data Manipulation
Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Looker (Software), Ad Hoc Analysis, Dashboard, Data Analysis, Exploratory Data Analysis, Data Literacy, Database Application
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Pivot Tables And Charts, Data Preprocessing, Data Cleansing, Data Analysis, Numerical Analysis, Statistical Analysis, Data Structures, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Statistical Methods, Dimensionality Reduction, Algorithms, NumPy, Python Programming
Intermediate · Course · 1 - 3 Months

Ball State University
Skills you'll gain: Data Visualization, Rmarkdown, Exploratory Data Analysis, Data Visualization Software, Ggplot2, Interactive Data Visualization, Plot (Graphics), Statistical Visualization, R (Software), R Programming, Data Storytelling, Histogram, Scatter Plots, Data Analysis, Tidyverse (R Package), Data Manipulation
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Tableau Software, Exploratory Data Analysis, Correlation Analysis, Storytelling, Data Ethics, Data Analysis, Advanced Analytics
Mixed · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: User Story, Agile Software Development, Agile Project Management, Backlogs, Scaled Agile Framework, Agile Methodology, Sprint Retrospectives, Sprint Planning, Change Management, Team Building, Kanban Principles, Project Management, Estimation, Prioritization
Beginner · Course · 1 - 4 Weeks