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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

    SAS

    Analyzing Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis Software, Data Analysis, Digital Signal Processing, Statistical Methods, Advanced Analytics, Statistical Software, Regression Analysis, Data Transformation, Exploratory Data Analysis, Machine Learning Methods, Predictive Modeling, Applied Machine Learning, Predictive Analytics, Model Training

    ★ 5 (11) · Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Statistical and Predictive Modeling for Finance

    Skills you'll gain: Risk Modeling, Descriptive Statistics, Financial Data, Financial Modeling, Regression Analysis, Statistical Modeling, Financial Analysis, Decision Tree Learning, Credit Risk, Lending and Underwriting, Predictive Modeling, Commercial Lending, Portfolio Management, Statistics, Portfolio Risk, Statistical Analysis, Performance Metric, Model Evaluation, Supervised Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Statistical Visualization, Machine Learning Algorithms, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Natural Language Processing, Deep Learning, Programming Principles, Machine Learning, Python Programming, Data Science, Numerical Analysis, Computer Programming, Artificial Neural Networks

    ★ 5 (6) · Intermediate · Course · 1 - 3 Months

  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Differential Equations Part III Systems of Equations

    Skills you'll gain: Differential Equations, Applied Mathematics, Advanced Mathematics, Linear Algebra, Calculus, Mathematical Modeling, Mathematical Theory & Analysis

    ★ 4.2 (13) · Intermediate · Course · 1 - 3 Months

  • I

    IBM

    IBM COBOL Software Development Practices

    Skills you'll gain: COBOL (Programming Language), Agile Software Development, Systems Development Life Cycle, Agile Methodology, Technical Support, Software Development Methodologies, Software Development Life Cycle, Agile Project Management, Scrum (Software Development), Technical Support and Services, Software Development, Help Desk Support, System Support, Software Quality Assurance, Quality Assurance, Software Quality (SQA/SQC), Mainframe Computing, Code Review, Issue Tracking, Computer Programming

    ★ 3.6 (64) · Beginner · Course · 1 - 3 Months

  • U

    Universidad Austral

    Procesamiento de Lenguaje Natural

    Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Preprocessing, Machine Learning Algorithms, Data Cleansing, Artificial Neural Networks, Machine Learning Methods, Data Manipulation, Tensorflow, Applied Machine Learning, Text Mining, Jupyter, Pandas (Python Package), Application Lifecycle Management, AI Orchestration, Systems Architecture, Python Programming

    ★ 4.2 (56) · Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Data Analysis in R: Predictive Analysis with Regression

    Skills you'll gain: Ggplot2, Model Evaluation, Plot (Graphics), Regression Analysis, Predictive Analytics, Predictive Modeling, Statistical Visualization, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, R (Software), Exploratory Data Analysis, Descriptive Analytics, Statistical Analysis, Data Analysis

    ★ 4.2 (13) · Intermediate · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Python for Data Science: Real Projects & Analytics

    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, Statistical Programming, Histogram, Statistical Analysis, Database Application, Database Software, Integrated Development Environments, Python Programming

    ★ 4.6 (34) · Beginner · Specialization · 3 - 6 Months

  • U

    University of California, Irvine

    Mobile Marketing, Optimization Tactics, and Analytics

    Skills you'll gain: Marketing Analytics, Key Performance Indicators (KPIs), Marketing Planning, Data-Driven Marketing, Marketing Effectiveness, Digital Media Strategy, A/B Testing, Web Analytics, Conversion Funnel Analysis, Content Performance Analysis, Digital Marketing, Customer experience improvement, Test Tools, Performance Metric, Performance Measurement, Marketing Strategies, Marketing, Driving engagement, Web Applications, Sales

    ★ 4.5 (55) · Beginner · Course · 1 - 4 Weeks

  • T

    The Chinese University of Hong Kong

    Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)

    Skills you'll gain: Social Sciences, Statistical Analysis, Statistical Software, Statistical Modeling, Correlation Analysis, Statistical Methods, Advanced Analytics, Regression Analysis, Mathematical Modeling, Data Analysis Software, Research, Model Evaluation, Data Analysis, Dimensionality Reduction

    ★ 4.8 (96) · Mixed · Course · 3 - 6 Months

  • D

    DeepLearning.AI

    الشبكات العصبية والتعلم العميق

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Machine Learning Methods, Applied Machine Learning, Network Architecture

    ★ 4.3 (11) · Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

1…153154155…310

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

  • Analyzing Time Series and Sequential Data: SAS
  • Statistical and Predictive Modeling for Finance : Coursera
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Differential Equations Part III Systems of Equations : Korea Advanced Institute of Science and Technology(KAIST)
  • IBM COBOL Software Development Practices: IBM
  • Procesamiento de Lenguaje Natural: Universidad Austral
  • Data Analysis in R: Predictive Analysis with Regression: Coursera
  • Python for Data Science: Real Projects & Analytics: EDUCBA
  • Mobile Marketing, Optimization Tactics, and Analytics: University of California, Irvine
  • Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话): The Chinese University of Hong Kong

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