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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

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Classification Algorithms, Amazon Web Services, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • S

    Skillshare

    Cinematic Video Editing : Master Exciting Youtube Intro's

    Skills you'll gain: Video Editing, Post-Production, Adobe Premiere, Motion Graphics, Adobe After Effects, Cinematography, Timelines, Color Theory, Image Quality

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Streaming Big Data with Spark Streaming, Scala, and Spark 3!

    Skills you'll gain: Apache Kafka, Apache Spark, Scala Programming, Real Time Data, Apache Hadoop, Data Pipelines, Apache Cassandra, Applied Machine Learning, Big Data, Data Processing, Application Deployment, Distributed Computing, Development Environment

    Advanced · Course · 1 - 3 Months

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • U

    University of Maryland, College Park

    Cómo manejar datos faltantes

    Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • E

    EDUCBA

    Python Case Study - Sentiment Analysis

    Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Natural Language Processing, Machine Learning Methods, Text Mining, Scikit Learn (Machine Learning Library), Data Manipulation, Data Cleansing, Python Programming, Analysis, Pandas (Python Package), Development Environment, Software Development Tools, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Data Understanding and Data Visualization with Python

    Skills you'll gain: Data Visualization, Matplotlib, Scientific Visualization, Data Storytelling, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Data Structures, Heat Maps, Data Manipulation, Pandas (Python Package), NumPy, Data Transformation, Data Preprocessing, Exploratory Data Analysis, Data Cleansing, Data Mapping, Data Import/Export, Python Programming, Scripting

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Regression Analysis

    Beginner · Course · 1 - 3 Months

  • A

    Arizona State University

    Dark Data Migration and Architecture

    Skills you'll gain: Data Transformation, Engineering Management, Data-Driven Decision-Making, Computational Thinking, Exploratory Data Analysis, Data Storytelling, Capacity Management, Data Analysis, Data Warehousing, Data Strategy, Data Management, Data Lakes, Unstructured Data, Business Intelligence, Data Governance, Data Access, Data Literacy, Solution Design, Management Reporting, Needs Assessment

    Beginner · Specialization · 3 - 6 Months

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

  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Cinematic Video Editing : Master Exciting Youtube Intro's: Skillshare
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Streaming Big Data with Spark Streaming, Scala, and Spark 3!: Packt
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Advanced Machine Learning and Deep Learning: Packt
  • Cómo manejar datos faltantes: University of Maryland, College Park
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Python Case Study - Sentiment Analysis: EDUCBA
  • Data Understanding and Data Visualization with Python: Packt

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