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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


  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Security Engineer

    Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Kubernetes, Prometheus (Software), Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Load Balancing, Prompt Engineering, Network Monitoring, Cloud Computing Architecture, Containerization, Application Performance Management, Virtual Networking, Network Architecture, Role-Based Access Control (RBAC), Network Routing, Site Reliability Engineering, Cloud Security, Virtual Private Networks (VPN)

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Calculating Descriptive Statistics in R

    Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Probability & Statistics, Statistics, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    52 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    Unilever

    Implementing Supply Chain Analytics

    Skills you'll gain: Descriptive Analytics, Supply Chain, Supply Chain Management, Supply Chain Systems, Supply Chain Planning, Predictive Analytics, Forecasting, Inventory and Warehousing, Data-Driven Decision-Making, Business Analytics, Advanced Analytics, Analytics, SQL, Data Presentation, Data Analysis, Technical Communication, Data Storytelling, Statistical Reporting, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 1 - 4 Weeks

  • N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    681 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Convolutional Neural Networks, Health Policy, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    620 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google

    Start the UX Design Process: Empathize, Define, and Ideate

    Skills you'll gain: User Experience Design, User Experience, Persona (User Experience), Web Content Accessibility Guidelines, User Story, Usability, Design Thinking, User Research, Human Factors, Human Centered Design, Ideation, Competitive Analysis, Prototyping

    4.8
    Rating, 4.8 out of 5 stars
    ·
    17K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for UI UX Design

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Design Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Design Software, AI Workflows, User Interface (UI) Design, Brainstorming, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Human Centered Design, AI Personalization, User Story, Wireframing, Ideation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Model Deployment, Data Cleansing, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, MLOps (Machine Learning Operations), Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    77 reviews

    Advanced · Course · 1 - 4 Weeks

  • N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    378 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    AI For Medical Treatment

    Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Treatment Planning, Data Analysis, Model Evaluation, Applied Machine Learning, Patient Treatment, AI Personalization, Machine Learning, Text Mining, Health Informatics, Medical Terminology, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    533 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Popular This Week
    Popular This Week
    I

    IBM

    IBM IT Project Manager

    Skills you'll gain: User Story, Software Development Life Cycle, Stakeholder Engagement, Software Architecture, Project Management Life Cycle, Resource Management, Peer Review, Agile Software Development, Earned Value Management, Scrum (Software Development), Stakeholder Management, Agile Methodology, Project Risk Management, Project Management, Information Technology, Risk Management, Interviewing Skills, Agile Project Management, Leadership, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Preparing for Google Cloud Certification: Cloud Security Engineer: Google Cloud
  • Calculating Descriptive Statistics in R: Coursera
  • Implementing Supply Chain Analytics: Unilever
  • Guided Tour of Machine Learning in Finance: New York University
  • Fundamentals of Machine Learning for Healthcare: Stanford University
  • Start the UX Design Process: Empathize, Define, and Ideate: Google
  • Generative AI for UI UX Design: IBM
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Using Machine Learning in Trading and Finance: New York Institute of Finance

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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