Applied Statistics Courses
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.
Popular Applied Statistics Courses and Certifications
University of Alberta
Skills you'll gain: Agile Methodology, Kanban Principles, Agile Software Development, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Engineering, Process Driven Development
Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics
Skills you'll gain: Business Intelligence, Excel Macros, Pandas (Python Package), Prompt Engineering, Forecasting, Data Storytelling, Time Series Analysis and Forecasting, Regression Analysis, Data Quality, Responsible AI, ChatGPT, Microsoft Excel, Data Analysis, Report Writing, Interactive Data Visualization, Data Modeling, Generative AI, Data Visualization, Exploratory Data Analysis, Statistical Analysis
University of Colorado Boulder
Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis
Johns Hopkins University
Skills you'll gain: Algebra, Advanced Mathematics, General Mathematics, Applied Mathematics, Analytical Skills, Mathematical Modeling, Geometry, Graphing
McMaster University
Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies
École Polytechnique
Skills you'll gain: Semiconductors, Materials science, Differential Equations, Numerical Analysis, Linear Algebra, Applied Mathematics, Chemistry, Physics, Calculus
Institute for the Future
Skills you'll gain: Forecasting, Innovation, Proactivity, Strategic Thinking, Creative Thinking, Optimism, Systems Thinking, Trend Analysis, Creativity, Professional Development, Leadership, Collaboration, Analysis, Emerging Technologies
The University of Tokyo
Skills you'll gain: Game Theory, Systems Thinking, Complex Problem Solving, Mathematical Modeling, Political Sciences
Imperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)
National Taiwan University
Skills you'll gain: Probability, Probability Distribution, Statistics, Data Literacy, Logical Reasoning, Critical Thinking, Learning Strategies
University of California, Davis
Skills you'll gain: Surveys, Statistical Hypothesis Testing, Quantitative Research, Statistical Analysis, Marketing Analytics, Market Research, Data Analysis, Marketing, Target Market, Market Analysis, Regression Analysis, Sample Size Determination, Quality Control
In summary, here are 10 of our most popular applied statistics courses
- Software Processes and Agile Practices:Â University of Alberta
- Scalable Machine Learning on Big Data using Apache Spark:Â IBM
- Modern Data Analytics with Python, Excel & Generative AI:Â Coursera
- Algebra and Differential Calculus for Data Science:Â University of Colorado Boulder
- Algebra: Elementary to Advanced - Polynomials and Roots:Â Johns Hopkins University
- Experimentation for Improvement:Â McMaster University
- Density Functional Theory: École Polytechnique
- Ready, Set, Future! Introduction to Futures Thinking:Â Institute for the Future
- Welcome to Game Theory:Â The University of Tokyo
- Probabilistic Deep Learning with TensorFlow 2:Â Imperial College London
