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  • Bayesian Statistics

Bayesian Statistics Courses

Bayesian statistics courses can help you learn probability distributions, Bayesian inference, and statistical modeling. You can build skills in hypothesis testing, predictive analytics, and decision-making under uncertainty. Many courses introduce tools like R, Python, and Stan, which are commonly used for implementing Bayesian methods and analyzing data. You'll also explore concepts like Markov Chain Monte Carlo (MCMC) techniques and Bayesian networks, equipping you with practical knowledge for data-driven decision-making in various fields.


Popular Bayesian Statistics Courses and Certifications


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    Northeastern University

    Data Visualization with Python & R for Engineers

    Skills you'll gain: Data Storytelling, Data Literacy, Statistical Visualization, Data-Driven Decision-Making, Data Visualization Software, Data Preprocessing, Data Mining, Exploratory Data Analysis, Data Cleansing, Graphing, Big Data, Programming Principles, Python Programming, NumPy

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Financial Analytics in RStudio: Identify Profit Drivers

    Skills you'll gain: Operational Analysis, Performance Analysis, Performance Improvement, Data Import/Export, Variance Analysis, Exploratory Data Analysis, Data Analysis, Financial Analysis, Operations Management, Operating Expense, Plot (Graphics), Waterfall Methodology

    Intermediate · Guided Project · Less Than 2 Hours

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    U

    University of Glasgow

    Knowledge-First Social Epistemology

    Skills you'll gain: Media and Communications, Peer Review, Research, Cultural Responsiveness, Social Impact, Social Sciences, Investigation, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Deep Learning with Python: CNN, ANN & RNN

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing

    Beginner · Specialization · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
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    W

    Whizlabs

    AWS: Model Training , Optimization & Deployment

    Skills you'll gain: Model Deployment, Cloud Deployment, Amazon Elastic Compute Cloud, Model Evaluation, Continuous Deployment, Continuous Integration, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    Corporate Finance Institute

    Regression Analysis - Fundamentals & Practical Applications

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Linear Algebra, Model Evaluation, Supervised Learning, Exploratory Data Analysis

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    How to Set up Facebook Pixel

    Skills you'll gain: Facebook, Online Advertising, Web Analytics, Social Media Marketing, Digital Advertising, User Accounts, Compliance Management

    4.3
    Rating, 4.3 out of 5 stars
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    6 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Coursera

    Explore and Visualize Data the Python Way

    Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Exploratory Data Analysis for the Public Sector with ggplot

    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

    5
    Rating, 5 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Pontificia Universidad Católica del Perú

    Comportamiento del Consumidor Digital

    Skills you'll gain: Data Ethics, Consumer Behaviour, Business-To-Consumer, Data Collection, Market Opportunities, Marketing, Target Market, digital literacy, Market Share, Market Research, User Research, Customer Insights, Customer Analysis, Digital Marketing, Business Research, Business Ethics, Web Analytics, Research, Qualitative Research, Technical Communication

    4.8
    Rating, 4.8 out of 5 stars
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    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    PyCaret: Anatomy of Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Data Visualization with Python & R for Engineers: Northeastern University
  • Financial Analytics in RStudio: Identify Profit Drivers: Coursera
  • Knowledge-First Social Epistemology: University of Glasgow
  • Deep Learning with Python: CNN, ANN & RNN: EDUCBA
  • PySpark Foundations: Process, analyze, and summarize data: Coursera
  • AWS: Model Training , Optimization & Deployment: Whizlabs
  • Regression Analysis - Fundamentals & Practical Applications: Corporate Finance Institute
  • How to Set up Facebook Pixel: Coursera
  • Explore and Visualize Data the Python Way: Coursera
  • Exploratory Data Analysis for the Public Sector with ggplot: University of Michigan

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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