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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


  • I

    Imperial College London

    TensorFlow 2 시작하기

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Model Evaluation, Deep Learning, Convolutional Neural Networks, Model Optimization, Image Analysis, Predictive Modeling, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Computer Vision

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Apply Data Analytics Using Python and Pandas

    Skills you'll gain: NumPy, Pandas (Python Package), Analytics, Plot (Graphics), Model Evaluation, Statistical Visualization, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Numerical Analysis, Model Training, Data Manipulation, Exploratory Data Analysis, Advanced Analytics, Data Wrangling, Python Programming, Descriptive Statistics, Linear Algebra, Data Import/Export

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Data Analysis with the FraudFinder Workshop

    Skills you'll gain: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Model Training, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Data Store, Jupyter, Data Analysis, Data Warehousing, Machine Learning

    Beginner · Project · Less Than 2 Hours

  • 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, Model Training, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Model Training, Application Deployment, AI Workflows, Model Evaluation, Real Time Data, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    GenAI for Biz Dev: Identifying Growth Opportunities

    Skills you'll gain: Competitive Analysis, Business Development, Data-Driven Decision-Making, Generative AI, Market Opportunities, Market Analysis, Market Research, Trend Analysis, Strategic Thinking, Market Trend, Business Intelligence, Business Strategy, Sustainable Business, Forecasting, AI Integrations, Strategic Planning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize Vision Datasets: Augment and Analyze

    Skills you'll gain: Transfer Learning, Model Training, Model Optimization, Image Quality, Computer Vision, Image Analysis, Data Pipelines, Data Transformation, Data Manipulation, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Hadoop & Big Data Foundations Mastery Course

    Skills you'll gain: Apache Hive, Apache Mahout, NoSQL, Apache Hadoop, Extract, Transform, Load, Big Data, Data Warehousing, Data Pipelines, Data Infrastructure, Application Deployment, Databases, SQL, Applied Machine Learning, Database Development, Performance Tuning, Data Processing, File Systems, Real Time Data, Query Languages, Database Management

    Beginner · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Apply Python for Practical Financial Data Analysis

    Skills you'll gain: Trend Analysis, Financial Data, Market Trend, Data-Driven Decision-Making, Plot (Graphics), Financial Analysis, Technical Analysis, Market Data, Financial Trading, Financial Market, Correlation Analysis, Python Programming, Data Manipulation, Data Structures, Data Import/Export

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Image Generation - Français

    Skills you'll gain: Generative AI, Model Deployment, Generative Model Architectures, Model Training, Google Cloud Platform, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Deep Learning with TensorFlow: Build Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Fine-tuning, Model Optimization, Model Training, Computer Vision, Applied Machine Learning, Classification Algorithms, Network Architecture, Data Processing

    ★ 5 (7) · Mixed · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    Data Viz Using Tableau & Presenting With Storytelling

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization Software, Data Visualization, Tableau Software, Presentations, Storytelling, Technical Communication, Data Analysis, Stakeholder Communications, Spatial Analysis

    Beginner · Course · 1 - 4 Weeks

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

  • TensorFlow 2 시작하기: Imperial College London
  • Apply Data Analytics Using Python and Pandas: EDUCBA
  • Data Analysis with the FraudFinder Workshop: Google Cloud
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Databricks Machine Learning Fundamentals: Coursera
  • GenAI for Biz Dev: Identifying Growth Opportunities: Coursera
  • Optimize Vision Datasets: Augment and Analyze: Coursera
  • Hadoop & Big Data Foundations Mastery Course: EDUCBA
  • Apply Python for Practical Financial Data Analysis: EDUCBA
  • Introduction to Image Generation - Français: Google Cloud

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