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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


  • S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: SAS (Software), Model Evaluation, Logistic Regression, Predictive Modeling, Classification And Regression Tree (CART), Big Data, Regression Analysis, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Navigating Generative AI: A CEO Playbook

    Skills you'll gain: Responsible AI, Workforce Development, Strategic Leadership, Operational Efficiency, Technology Strategies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    96 reviews

    Mixed · Course · 1 - 4 Weeks

  • O

    O.P. Jindal Global University

    Statistical Methods for Psychological Research

    Skills you'll gain: Correlation Analysis, Research Design, Regression Analysis, Statistical Methods, Statistical Hypothesis Testing, Analysis, Statistical Inference, Statistical Analysis, Data Literacy, Quantitative Research, Descriptive Statistics, Probability & Statistics, Sampling (Statistics), Probability Distribution

    Beginner · Course · 3 - 6 Months

  • U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Analyze and Highlight Cost Variances Effectively

    Skills you'll gain: Variance Analysis, Cost Control, Cost Accounting, Budget Management, Cost Management, Statistical Analysis, Data Analysis, Data-Driven Decision-Making, Stakeholder Communications, Communication, Strategic Communication

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    GenAI for Everyone

    Skills you'll gain: Generative AI, AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Creative Problem-Solving, HR Tech, Marketing, Information Privacy, Critical Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    144 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Building GenAI Applications and Agents

    Skills you'll gain: LangChain, Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, Model Evaluation, Large Language Modeling, CrewAI, OpenAI API, Generative AI Agents, LLM Application, Vector Databases, Tool Calling, ChatGPT, Responsible AI, Embeddings, AI Enablement, AI Workflows, OpenAI, Generative AI, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    179 reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Orchestrate, Analyze, and Evaluate ML Pipelines

    Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Data Preprocessing, Service Level, Model Evaluation, Real Time Data, Data Store, Data Transformation, Data Validation, Key Performance Indicators (KPIs)

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Cape Town

    Doing Clinical Research: Biostatistics with the Wolfram Language

    Skills you'll gain: Descriptive Statistics, Data Literacy, Plot (Graphics), Statistical Analysis, Statistical Visualization, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Quantitative Research, Deep Learning, Regression Analysis, Data Manipulation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, CI/CD, Model Evaluation, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, AI Enablement, Apache Hadoop, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • V

    Vanderbilt University

    ChatGPT & Zapier: Agentic AI for Everyone

    Skills you'll gain: Generative AI Agents, Agentic systems, Agentic Workflows, Generative AI, Email Automation, Prompt Engineering, Make.com, AI Workflows, ChatGPT, Expense Management, Expense Reports, Workflow Management, Artificial Intelligence, Google Sheets, Travel Arrangements, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    130 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular exploratory data analysis courses

  • Predictive Modeling with Logistic Regression using SAS : SAS
  • Navigating Generative AI: A CEO Playbook: Coursera
  • Statistical Methods for Psychological Research: O.P. Jindal Global University
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Analyze and Highlight Cost Variances Effectively: Coursera
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • GenAI for Everyone: Coursera
  • Building GenAI Applications and Agents: Coursera
  • Orchestrate, Analyze, and Evaluate ML Pipelines: Coursera
  • Doing Clinical Research: Biostatistics with the Wolfram Language: University of Cape Town

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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