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  • Applied Statistics

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


  • S

    Simplilearn

    Introduction to Linear Regression Training

    Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Forecasting, Machine Learning Algorithms, Case Studies, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    The Complete Scrum Master Certification Guide

    Skills you'll gain: Agile Software Development, Scaled Agile Framework, Run Chart, Conflict Management, Team Management

    Intermediate · Course · 1 - 3 Months

  • O

    O.P. Jindal Global University

    Prescriptive Analytics

    Skills you'll gain: Machine Learning Methods, Network Model, Operations Research, Mathematical Modeling, Microsoft Excel, Business Analytics, Applied Machine Learning, Classification Algorithms, Analytics, Analytical Skills, Operational Analysis, Data-Driven Decision-Making, Process Optimization, Predictive Modeling, Spreadsheet Software, Team Building, Network Routing, Model Evaluation, Model Optimization, Case Studies

    Build toward a degree

    Beginner · Course · 3 - 6 Months

  • P

    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Agile Software Development Part 1

    Skills you'll gain: Systems Development Life Cycle, Software Development Life Cycle, Agile Software Development, Software Development Methodologies, Agile Methodology, Agile Project Management, Scrum (Software Development), Agile Product Development, Requirements Analysis, Sprint Retrospectives, Software Engineering, Software Development, Sprint Planning, Waterfall Methodology, Backlogs, Requirements Elicitation, User Story

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Calculate VaR: Market Risk Measurement

    Skills you'll gain: Portfolio Risk, Risk Modeling, Quantitative Research, Data Literacy, Risk Analysis, Financial Forecasting, Market Data, Risk Management, Statistical Reporting, Exploratory Data Analysis, Dashboard Creation, Business Risk Management, Portfolio Management, Data Presentation

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Visualize Data Using Tableau

    Skills you'll gain: Data Visualization, Tableau Software, Dashboard Creation, Dashboard, Interactive Data Visualization, Data Storytelling, Data Analysis, Revenue Forecasting, Data Visualization Software, Trend Analysis, Spatial Data Analysis, Data Cleansing, Data Preprocessing, R (Software), Data Wrangling, R Programming, Time Series Analysis and Forecasting, Spatial Analysis, Forecasting, Data Mapping

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Feature Engineering - 한국어

    Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Model Optimization, Tensorflow, Data Processing, Applied Machine Learning, Keras (Neural Network Library), Statistical Methods, Machine Learning Methods, Data Transformation, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Engineer AI Models: Explain, Tune & Experiment

    Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Model Optimization, Responsible AI, Model Evaluation, Project Management, Performance Improvement, AI literacy, Risk Modeling, Performance Metric, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Applied Machine Learning, Research Design

    Intermediate · Course · 1 - 4 Weeks

  • K

    Koç University

    KALKÜLÜS III: UYGULAMALAR / CALCULUS III: APPLICATIONS

    Skills you'll gain: Numerical Analysis, Calculus, Applied Mathematics, Integral Calculus, Mathematical Software, Mathematical Theory & Analysis, Derivatives

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Data Analytics for Marketing

    Skills you'll gain: Marketing Analytics, Data-Driven Marketing, A/B Testing, Customer Analysis, Anomaly Detection, Dashboard, Dashboard Creation, Time Series Analysis and Forecasting, Regression Analysis, Customer Insights, Extract, Transform, Load, Descriptive Analytics, Data Presentation, Statistical Methods, Marketing Effectiveness, Marketing Strategies, Forecasting, Statistical Modeling, Statistical Analysis, Markov Model

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Build & Adapt LLM Models with Confidence

    Skills you'll gain: Model Deployment, LLM Application, Fine-tuning, Large Language Modeling, System Monitoring, Open Web Application Security Project (OWASP), Scalability, Generative Model Architectures, Hugging Face, Continuous Monitoring, AI Integrations, Load Balancing, Performance Tuning, Application Deployment, Model Optimization, Transfer Learning, AI Security, Applied Machine Learning, Application Security, API Design

    Intermediate · Course · 1 - 4 Weeks

1…262263264…308

In summary, here are 10 of our most popular applied statistics courses

  • Introduction to Linear Regression Training : Simplilearn
  • The Complete Scrum Master Certification Guide: Packt
  • Prescriptive Analytics: O.P. Jindal Global University
  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • Agile Software Development Part 1: Northeastern University
  • Calculate VaR: Market Risk Measurement: Coursera
  • Analyze and Visualize Data Using Tableau: EDUCBA
  • Feature Engineering - 한국어: Google Cloud
  • Engineer AI Models: Explain, Tune & Experiment: Coursera
  • KALKÜLÜS III: UYGULAMALAR / CALCULUS III: APPLICATIONS: Koç University

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