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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

    Analyze Marketing Data, Boost Conversions

    Skills you'll gain: Marketing Analytics, Web Analytics, Content Performance Analysis, Marketing Effectiveness, Marketing Automation, Data Analysis, Customer Insights, Data-Driven Decision-Making, Statistical Analysis, Web Analytics and SEO, Model Evaluation, Anomaly Detection, Continuous Monitoring, Quality Assessment, Verification And Validation

    Beginner · Course · 1 - 4 Weeks

  • W

    Whizlabs

    AWS: Managed AI Services

    Skills you'll gain: AI Personalization, Fraud detection, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Amazon Web Services, Natural Language Processing, AI Workflows, Applied Machine Learning, Text Mining, Unstructured Data, Document Management, Real Time Data

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to DeepSeek

    Skills you'll gain: Deepseek, Model Deployment, AI Enablement, LLM Application, Generative Model Architectures, Competitive Analysis, AI Product Strategy, AI Workflows, Application Deployment, Organizational Strategy, Data Ethics, Model Evaluation, Automation, Integration Testing, Cost Reduction, Process Optimization, Program Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Unstructured Data, Python Programming, Algorithms

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Apply Natural Language Processing Techniques in Python

    Skills you'll gain: Data Transformation, Unstructured Data, Feature Engineering, Predictive Analytics, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • A

    Alex Genadinik

    Increase Your Creativity In Any Field! Become More Creative

    Skills you'll gain: Ingenuity, Growth Mindedness, Lifelong Learning, Problem Solving

    Mixed · Course · 1 - 3 Months

  • N

    Northeastern University

    Foundations for Data Analytics Part 2

    Skills you'll gain: Time Series Analysis and Forecasting, Correlation Analysis, Probability & Statistics, Text Mining, Statistical Analysis, Probability Distribution, Data Analysis, Network Analysis, Exploratory Data Analysis, Feature Engineering, Data Structures, Unstructured Data, Data Cleansing, Data Preprocessing, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Building a Real-World Data Science Solution

    Skills you'll gain: AWS SageMaker, Exploratory Data Analysis, Feature Engineering, Dashboard, Interactive Data Visualization, Model Evaluation, Data Visualization, Data Pipelines, Project Documentation, Solution Delivery, Amazon Web Services, Data Analysis, Data Integration, Cloud Development, Technical Documentation, Business Intelligence, Cloud Infrastructure, Technical Communication, Automation, Project Management

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Feature Engineering - 한국어

    Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Keras (Neural Network Library), Applied Machine Learning, Data Store, Data Transformation, Data Modeling, Machine Learning, Real Time Data

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    ML Pipelines on Google Cloud - 한국어

    Skills you'll gain: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Continuous Integration, Kubernetes, Metadata Management, Machine Learning Methods, Continuous Deployment, AI Orchestration, Model Deployment, AI Workflows, Applied Machine Learning, Model Evaluation, Containerization, Cloud Storage, Data Validation

    Advanced · Course · 1 - 3 Months

  • E

    EDUCBA

    Master AI Skills: Analyze, Build & Deploy Systems

    Skills you'll gain: Computer Vision, Artificial Intelligence, Image Analysis, Natural Language Processing, Generative AI, Model Deployment, OpenAI, Amazon Bedrock, AI Workflows, Text Mining, Robotics, Prompt Engineering, Automation, Deep Learning, Applied Machine Learning, Reinforcement Learning, Scalability

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Master Securities Lending Accounting: Analyze & Apply

    Skills you'll gain: Securities (Finance), Legal Risk, Risk Analysis, Portfolio Risk, Technical Accounting, Investment Management, Accounting, Revenue Recognition, Law, Regulation, and Compliance, Income Statement, Profit and Loss (P&L) Management, Financial Accounting, Financial Reporting, Balance Sheet

    Beginner · Course · 1 - 4 Weeks

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

  • Analyze Marketing Data, Boost Conversions: Coursera
  • AWS: Managed AI Services: Whizlabs
  • Introduction to DeepSeek: Coursera
  • NLP – Machine Learning Models in Python: Packt
  • Apply Natural Language Processing Techniques in Python: EDUCBA
  • Increase Your Creativity In Any Field! Become More Creative: Alex Genadinik
  • Foundations for Data Analytics Part 2: Northeastern University
  • Building a Real-World Data Science Solution : Coursera
  • Feature Engineering - 한국어: Google Cloud
  • ML Pipelines on Google Cloud - 한국어: Google Cloud

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