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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

    Generative AI for Sales Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Sales Strategy, Sales Presentation, Sales Enablement, Sales Training, Sales Pipelines, Sales Management, Lead Generation, Sales Prospecting, LinkedIn, B2B Sales, Prospecting and Qualification, Responsible AI, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Marketing Collateral

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Hands-On Projects
    Hands-On Projects
    M

    Meta

    Meta Front-End Developer

    Skills you'll gain: User Research, Cascading Style Sheets (CSS), User Experience Design, User Experience, Design Research, Linux Commands, Usability, Debugging, User Interface (UI), Software Versioning, Software Visualization, Web Content Accessibility Guidelines, Pseudocode, JavaScript Frameworks, User Interface and User Experience (UI/UX) Design, Javascript, Web Applications, Event-Driven Programming, Unit Testing, Application Programming Interface (API)

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • D

    DeepLearning.AI

    Generative Deep Learning with TensorFlow

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
    ·
    315 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad de los Andes

    Introducción a la inteligencia artificial contemporánea

    Skills you'll gain: Artificial Intelligence, Image Analysis, Reinforcement Learning, Computer Vision, Machine Learning, Semantic Web, Natural Language Processing, Embedded Systems, Data Ethics, Supervised Learning, Deep Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    317 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google

    The Bits and Bytes of Computer Networking

    Skills you'll gain: Computer Networking, Network Troubleshooting, TCP/IP, Network Architecture, Network Protocols, OSI Models, Network Routing, Network Infrastructure, Dynamic Host Configuration Protocol (DHCP), Virtual Private Networks (VPN), Network Security, Wireless Networks, Network Model, Data Integrity

    4.7
    Rating, 4.7 out of 5 stars
    ·
    52K reviews

    Beginner · Course · 1 - 3 Months

  • A

    Amazon Web Services

    AWS Cloud Technology Consultant

    Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Large Language Modeling, Amazon CloudWatch, AWS CloudFormation, Amazon DynamoDB, Software Development Life Cycle, CI/CD, Amazon Web Services, Professional Networking, Prompt Engineering, Cloud Computing, Generative AI, Extract, Transform, Load, Software Architecture, Cloud Computing Architecture, Cloud Management, Data Management, Problem Solving, Teamwork

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • I

    IBM

    Fundamentals of AI Agents Using RAG and LangChain

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI Agents, Large Language Modeling, Generative AI, Hugging Face, Embeddings, PyTorch (Machine Learning Library)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    197 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    169 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Getting started with ImageJ

    Skills you'll gain: Image Analysis, Software Installation, Data Analysis, Analysis, Scientific Methods, User Interface (UI)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    62 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Transformation, Statistical Modeling, Trend Analysis, Predictive Analytics, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    143 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Building Statistical Models in R: Linear Regression

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Generative AI for Sales Professionals: IBM
  • Meta Front-End Developer: Meta
  • Generative Deep Learning with TensorFlow: DeepLearning.AI
  • Introducción a la inteligencia artificial contemporánea: Universidad de los Andes
  • The Bits and Bytes of Computer Networking: Google
  • AWS Cloud Technology Consultant: Amazon Web Services
  • Fundamentals of AI Agents Using RAG and LangChain: IBM
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Getting started with ImageJ: Coursera
  • Introduction to Predictive Modeling: University of Minnesota

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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