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  • Exploratory Data Analysis

Exploratory Data Analysis Courses

Exploratory Data Analysis courses can help you learn data visualization techniques, statistical summaries, and data cleaning methods. You can build skills in identifying patterns, detecting anomalies, and interpreting results to inform decision-making. Many courses introduce tools like Python, R, and Tableau, which facilitate the analysis and presentation of data insights, allowing you to effectively communicate findings and support data-driven strategies.

Popular Exploratory Data Analysis Courses and Certifications


  • I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Software Development Life Cycle, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Responsible AI, Computer Vision, LangChain, Generative AI, Javascript, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Software Development, Machine Learning, Data Science

    4.7 stars, 83K reviews, Beginner, Professional Certificate, 3 - 6 Months

    ★ 4.7 (83K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Google Cloud Platform, Natural Language Processing, Tensorflow, Model Optimization, Model Evaluation, MLOps (Machine Learning Operations), Computer Vision, Large Language Modeling, Reinforcement Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Keras (Neural Network Library), Systems Design, Applied Machine Learning, AI Personalization, Cloud Deployment, Machine Learning

    4.5 stars, 1.5K reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5 stars, 833 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.5 (833) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • Y

    Yale University

    Introduction to Psychology

    Skills you'll gain: Psychology, Mental Health Diseases and Disorders, Child Development, Human Development, Human Learning, Psychological Evaluations, Psychotherapy, Culture, Cognitive Behavioral Therapy, Learning Theory, Scientific Methods, Critical Thinking, Diversity Awareness, Problem Solving

    4.9 stars, 33K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.9 (33K) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
  • I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    4.7 stars, 2.1K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (2.1K) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Classification And Regression Tree (CART), Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Model Evaluation, Biostatistics, Predictive Analytics, Data Preprocessing, Statistical Modeling, Risk Analysis, Machine Learning, Statistical Methods, Statistical Analysis, Probability & Statistics, Deep Learning

    4.7 stars, 800 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.7 (800) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • S

    Simplilearn

    Agentic AI with Model Context Protocol Training

    Skills you'll gain: AI Integrations, Tool Calling, Agentic systems, Generative AI Agents, AI Security, LLM Application, Context Management, Interoperability, Google Cloud Platform, Session Initiation Protocols, Risking, Systems Integration, Servers, Scalability, Risk Management, Pandas (Python Package), Server Side

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Machine Learning Methods, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Test Data, Machine Learning, Dimensionality Reduction, Performance Metric, Performance Testing, Spreadsheet Software, Analysis, Systems Design, Solution Design, Predictive Modeling, Microsoft Excel, Statistical Methods

    4.3 stars, 833 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.3 (833) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • V

    Vanderbilt University

    Honors Trustworthy & Responsible AI for High School Students

    Skills you'll gain: Prompt Engineering, Responsible AI, AI literacy, Risking, Generative AI, Artificial Intelligence, AI powered creativity, Verification And Validation, Critical Thinking, Model Evaluation, Trustworthiness, AI Workflows, Creative Thinking, Creativity, Ideation

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • C

    Coursera

    Where, Why, and How of Lambda Functions in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming

    4.8 stars, 34 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.8 (34) · Beginner · Guided Project · Less Than 2 Hours

  • W

    Whizlabs

    Microsoft Foundry Essentials: RAG, Fine-Tuning and AI Agents

    Skills you'll gain: Retrieval-Augmented Generation, Generative AI Agents, Model Deployment, Generative AI, Agentic Workflows, Microsoft Azure, AI Workflows, Model Evaluation, Model Training, Fine-tuning, Microsoft Development Tools, MLOps (Machine Learning Operations), AI Integrations, Large Language Modeling, Model Optimization, Agentic systems

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
  • E

    Edureka

    Deploying Fine-Tuned AI Models

    Skills you'll gain: Model Deployment, Responsible AI, MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Application Deployment, Model Training, AI Workflows, Model Evaluation, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Generative AI, Scalability, Large Language Modeling, Machine Learning, LLM Application, Application Programming Interface (API), Data Governance

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular exploratory data analysis courses

  • IBM AI Developer: IBM
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Introduction to Psychology: Yale University
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • AI for Medical Prognosis: DeepLearning.AI
  • Agentic AI with Model Context Protocol Training: Simplilearn
  • Recommender Systems: University of Minnesota
  • Honors Trustworthy & Responsible AI for High School Students: Vanderbilt University
  • Where, Why, and How of Lambda Functions in Python: Coursera

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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