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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


  • E

    EDUCBA

    Master CNNs with Python: Build, Train & Evaluate Models

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Data Preprocessing, Deep Learning, Computer Vision, Tensorflow, Python Programming, Cloud Computing, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University at Buffalo

    Digital Manufacturing & Design

    Skills you'll gain: Digital Transformation, Manufacturing Processes, Manufacturing Operations, Automation Engineering, Industrial Engineering, Business Transformation, Production Process, Digital Design, Supply Chain Management, Data-Driven Decision-Making, Market Dynamics, Workforce Development, Cybersecurity

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Università di Napoli Federico II

    English Intermediate B1

    Skills you'll gain: Presentations, Oral Expression, Business Communication, Business Correspondence, English Language, Verbal Communication Skills, Negotiation, Business Writing, Interviewing Skills, Data Visualization, Writing, Communication, Vocabulary, Social Skills, Language Learning, Interpersonal Communications, Stress Management, Education and Training, Higher Education, Medical Terminology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    468 reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Excel for Beginners: Pivot Tables

    Skills you'll gain: Pivot Tables And Charts, Spreadsheet Software, Microsoft Excel, Data Visualization Software, Google Sheets

    4.6
    Rating, 4.6 out of 5 stars
    ·
    180 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Develop an ASP.NET Core web app that consumes an API

    Skills you'll gain: ASP.NET, C# (Programming Language), Application Programming Interface (API), Microsoft Development Tools, Restful API, Microsoft Azure, Web Applications, Integrated Development Environments, Application Development, Development Environment, Virtual Environment, Middleware

    2.6
    Rating, 2.6 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    Edureka

    Generative AI Foundations

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Applied Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • V

    Vanderbilt University

    Qualitative Methods for Quantitative People (with GenAI)

    Skills you'll gain: Large Language Modeling, Responsible AI, Decision Making, Team Management, Resource Allocation, Generative AI, Qualitative Research, Prompt Engineering, Analysis, Communication, Project Management, Data Ethics, Data-Driven Decision-Making, Data Storytelling, Data Visualization

    2.8
    Rating, 2.8 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • R

    Rice University

    Algorithmic Thinking (Part 2)

    Skills you'll gain: Computational Thinking, Algorithms, Theoretical Computer Science, Bioinformatics, Data Structures, Big Data, Python Programming, Programming Principles, Data Analysis, Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    219 reviews

    Intermediate · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Signal Processing, Electrical Engineering, Communication Systems, Programming Principles, Electronics, Telecommunications, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    641 reviews

    Intermediate · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Regression Analysis, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

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

  • Master CNNs with Python: Build, Train & Evaluate Models: EDUCBA
  • Digital Manufacturing & Design: University at Buffalo
  • English Intermediate B1: Università di Napoli Federico II
  • Applied Machine Learning with Python: Edureka
  • Excel for Beginners: Pivot Tables: Coursera
  • Develop an ASP.NET Core web app that consumes an API: Microsoft
  • Generative AI Foundations: Edureka
  • Databricks Machine Learning Fundamentals: Coursera
  • Qualitative Methods for Quantitative People (with GenAI): Vanderbilt University
  • Algorithmic Thinking (Part 2): Rice University

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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