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.

Edureka
Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning Methods, Machine Learning, Logistic Regression
Intermediate · Course · 1 - 4 Weeks

Universidade de São Paulo
Skills you'll gain: Network Analysis, Social Network Analysis, Data Visualization, Scientific Visualization, Graph Theory, Exploratory Data Analysis, Environmental Science, Data Analysis, R Programming, Data Science, Mathematical Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Matplotlib, Scientific Visualization, Data Storytelling, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Data Structures, Heat Maps, Data Manipulation, Pandas (Python Package), NumPy, Data Transformation, Data Preprocessing, Exploratory Data Analysis, Data Cleansing, Data Mapping, Data Import/Export, Python Programming, Scripting
Intermediate · Specialization · 1 - 3 Months

University of Michigan
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Plot (Graphics), Data Presentation, Ggplot2, R (Software), Statistical Visualization, R Programming, Data Visualization Software, Data Analysis, Scatter Plots, Graphic and Visual Design, Histogram, Tidyverse (R Package), Public Administration, Trend Analysis, Policy Analysis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Cascading Style Sheets (CSS), Front-End Web Development, HTML and CSS, Web Design and Development, Responsive Web Design
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Customer Relationship Management, Customer experience strategy (CX), Customer Success Management, Customer Acquisition Management, Customer Analysis, Customer Data Management, Customer Retention, Customer Relationship Building, Marketing Automation, Value Propositions, Portfolio Management, Performance Measurement, Automation
Mixed · 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

Skills you'll gain: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Database Administration, Database Architecture and Administration, Relational Databases, Database Management, Apache Airflow, Operational Databases, PostgreSQL, MySQL, Data Warehousing, Data Pipelines, Extract, Transform, Load, Database Design, SQL, Performance Tuning, Disaster Recovery, Data Security, Data Transformation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Fraud detection, Sarbanes Oxley Act (SOX) Compliance, Financial Controls, Financial Statement Analysis, Financial Auditing, Internal Controls, Investigation, Corporate Accounting, Compliance Management, Financial Analysis, Anomaly Detection, Risk Control, Business Ethics, Case Studies, Accounting
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture
Beginner · Specialization · 1 - 3 Months