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Data Analysis Courses for Beginners

Beginner data analysis courses can help you learn data collection techniques, basic statistical concepts, data visualization, and interpretation of results. You can build skills in using spreadsheets for data manipulation, creating charts for visual representation, and applying descriptive statistics to summarize findings. Many courses introduce tools like Excel, Google Sheets, and data visualization software such as Tableau, showing you how to effectively analyze and present data to support decision-making.


Popular Beginner Data Analysis Courses and Certifications


  • Status: Free Trial
    Free Trial
    P

    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Applied Machine Learning, Python Programming, Fraud detection, Unsupervised Learning, Data Preprocessing, Model Evaluation, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Combinatorics and Probability

    Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    869 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    Universidade de São Paulo

    Introdução à Ciência da Computação com Python Parte 2

    Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Performance Testing, Algorithms, Computer Science, Data Structures, Python Programming, Computational Thinking, Software Testing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Transformers with Hugging Face

    Skills you'll gain: Hugging Face, Large Language Modeling, Transfer Learning, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Embeddings, Python Programming, Applied Machine Learning, Unsupervised Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    C Programming for Everybody

    Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Computer Programming, Software Design, Application Security, Other Programming Languages, Python Programming, Java Programming, System Programming, Computer Architecture, Performance Tuning, Unix, Computer Science, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    241 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    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
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    19 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 2)

    Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Verification And Validation, Game Theory, Mathematical Modeling, Test Case, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    365 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deploy A Microsoft Azure Speech To Text Web App

    Skills you'll gain: Application Deployment, Microsoft Azure, Cloud Services, Cloud Development, Cloud Applications, Natural Language Processing, Web Applications, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 1)

    Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Building Recommender Systems with Machine Learning and AI: Packt
  • Combinatorics and Probability: University of California San Diego
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • Introdução à Ciência da Computação com Python Parte 2: Universidade de São Paulo
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Natural Language Processing - Transformers with Hugging Face: Packt
  • C Programming for Everybody: University of Michigan
  • Master CNNs with Python: Build, Train & Evaluate Models: EDUCBA
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Principles of Computing (Part 2): Rice University

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