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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


  • P

    Packt

    Kibana 8.x – A Quick Start Guide to Data Analysis

    Skills you'll gain: Kibana, Dashboard, Interactive Data Visualization, Data Visualization, Data Visualization Software, Grafana, Graphing, Data Analysis, Splunk, Real Time Data, Anomaly Detection, Applied Machine Learning, Time Series Analysis and Forecasting, Query Languages, SQL, Role-Based Access Control (RBAC), Qualitative Research

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Build AWS QuickSight Dashboards with Covid-19 Data

    Skills you'll gain: Dashboard, Interactive Data Visualization, Data Presentation, Data Visualization Software, Business Intelligence, Amazon Web Services, Business Analytics, Exploratory Data Analysis, Data Analysis, Data Import/Export

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Unreal Engine: Design & Implement Landscapes for Games

    Skills you'll gain: Unreal Engine, Virtual Environment, 3D Assets, Game Design, Design Strategies, Computer Graphics, System Configuration

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced Game Math - Affine Transformations

    Skills you'll gain: Unity Engine, Animation and Game Design, Video Game Development, Data Structures, Game Design, Computer Graphics, Trigonometry, Linear Algebra, Advanced Mathematics, Applied Mathematics, Algorithms, General Mathematics

    Advanced · Course · 1 - 4 Weeks

  • C

    CertNexus

    CFR: Security Assessment, Data Collection, and Log Analysis

    Skills you'll gain: Vulnerability Management, Security Information and Event Management (SIEM), Penetration Testing, Vulnerability Assessments, Cybersecurity, Intelligence Collection and Analysis, Vulnerability Scanning, Cyber Attacks, Network Security, Information Systems Security, Computer Security, Analysis, Network Analysis, Auditing, Data Analysis, Linux Commands, Data Collection, Correlation Analysis, Bash (Scripting Language), Windows PowerShell

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Compare User Behavior with Segments

    Skills you'll gain: Web Analytics, Customer Engagement, Technical Communication, Campaign Management, Analysis, Strategic Marketing, Performance Metric, Business Metrics, Data-Driven Decision-Making, Descriptive Analytics, Stakeholder Communications

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Gemini for Data Scientists and Analysts - 한국어

    Skills you'll gain: Gemini, Artificial Intelligence and Machine Learning (AI/ML), Customer Insights, Applied Machine Learning, Customer Analysis, Generative AI, Data Integration, Predictive Analytics, Customer Data Management, Time Series Analysis and Forecasting, Marketing Strategies

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Interactive Dashboards for Meaningful Insights

    Skills you'll gain: Dashboard, Key Performance Indicators (KPIs), Interactive Data Visualization, Data Presentation, Business Intelligence, Web Analytics, Business Analytics, Requirements Elicitation, Data Storytelling, Performance Analysis, Requirements Analysis, Business Requirements, Stakeholder Analysis, Self Service Technologies

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 한국어

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, AI Workflows, Natural Language Processing, Infrastructure Architecture, Big Data, Applied Machine Learning, Model Deployment, Machine Learning

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Sentiment Analysis with RNNs in Keras

    Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Tensorflow, Google Cloud Platform, Matplotlib

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Apply Cost & Performance Management Concepts

    Skills you'll gain: Management Accounting, Forecasting, Cost Accounting, Budget Management, Budgeting, Performance Measurement, Variance Analysis, Internal Controls, Performance Management, Cost Control, Cost Management, Operating Budget, Management Reporting, Profit and Loss (P&L) Management, Resource Allocation, Cost Estimation, Financial Controls, Risk Management, Financial Analysis, Customer Analysis

    Beginner · Course · 1 - 3 Months

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

  • Kibana 8.x – A Quick Start Guide to Data Analysis: Packt
  • Build AWS QuickSight Dashboards with Covid-19 Data: EDUCBA
  • Unreal Engine: Design & Implement Landscapes for Games: EDUCBA
  • Advanced Game Math - Affine Transformations: Packt
  • CFR: Security Assessment, Data Collection, and Log Analysis: CertNexus
  • Compare User Behavior with Segments: Coursera
  • Gemini for Data Scientists and Analysts - 한국어: Google Cloud
  • Build Interactive Dashboards for Meaningful Insights: Coursera
  • Introduction to AI and Machine Learning on GC - 한국어: Google Cloud
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA

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