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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


  • C

    Coursera

    Análisis exploratorio de datos con Python y Pandas

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    14 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis

    3.2
    Rating, 3.2 out of 5 stars
    ·
    78 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Introduction to Archaeology

    Skills you'll gain: Ancient History, Timelines, Social Impact, Social Justice, Anthropology, Scientific Methods, World History, Social Sciences, Art History, Sustainable Development, Peer Review, Environment, Case Studies, General Science and Research, Community Development, Climate Change Programs, Spatial Analysis, Research, Cultural Sensitivity, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    31 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    C

    Coursera

    Data Science for Professionals

    Skills you'll gain: Predictive Modeling, Data Visualization, Predictive Analytics, Statistical Analysis, Data Literacy, Data Manipulation, Data Analysis, Data Science, Statistical Methods, Pandas (Python Package), Data Wrangling, Data Cleansing, Data Preprocessing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Matplotlib, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Securing AI and Advanced Topics

    Skills you'll gain: Generative Adversarial Networks (GANs), AI Security, Generative AI, Fraud detection, Model Evaluation, Feature Engineering, Cybersecurity, Cyber Security Strategy, Data Preprocessing, Anomaly Detection, Security Testing, Applied Machine Learning, Reinforcement Learning, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Spark and Python for Big Data with PySpark

    Skills you'll gain: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    44 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to AI for Cybersecurity

    Skills you'll gain: AI Security, Cybersecurity, Cyber Threat Intelligence, Cyber Attacks, Fraud detection, Email Security, Threat Detection, Jupyter, Authentications, Machine Learning Algorithms, Artificial Intelligence, Anomaly Detection, Natural Language Processing, Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    82 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Systems Analysis

    Skills you'll gain: Feasibility Studies, Systems Development, Software Development Methodologies, Business Analysis, Software Design, Business Process Modeling, Communication, Data Flow Diagrams (DFDs), Stakeholder Communications, Business Communication, Product Lifecycle Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    35 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Data Collection and Root Cause Analysis

    Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Analysis, Process Analysis, Six Sigma Methodology, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Pareto Chart

    4.2
    Rating, 4.2 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad Autónoma Metropolitana

    Geometría Analítica Preuniversitaria

    Skills you'll gain: Graphing, Geometry, Advanced Mathematics, Visualization (Computer Graphics), General Mathematics, Algebra, Mathematical Modeling, Applied Mathematics

    4.2
    Rating, 4.2 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Advanced Recommender Systems

    Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Feature Engineering, Dimensionality Reduction, Machine Learning, Model Evaluation, Predictive Modeling, Algorithms, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

Searches related to applied statistics

applied statistics for data analytics
statistics and applied data analysis
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In summary, here are 10 of our most popular applied statistics courses

  • Análisis exploratorio de datos con Python y Pandas: Coursera
  • Principal Component Analysis with NumPy: Coursera
  • Perform data science with Azure Databricks: Microsoft
  • Introduction to Archaeology: Rice University
  • Data Science for Professionals: Coursera
  • Securing AI and Advanced Topics: Johns Hopkins University
  • Spark and Python for Big Data with PySpark: EDUCBA
  • Introduction to AI for Cybersecurity: Johns Hopkins University
  • Introduction to Systems Analysis: IBM
  • Data Collection and Root Cause Analysis: SkillUp

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