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  • Data Analysis

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
    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

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Algorithmic Trading

    Skills you'll gain: Generative AI, Financial Trading, Market Data, Portfolio Management, Technical Analysis, Market Trend, Real Time Data, Portfolio Risk, Automation, Artificial Intelligence, Python Programming, Applied Machine Learning, Risk Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Advanced Django: Building a Blog

    Skills you'll gain: Performance Tuning, Django (Web Framework), Authentications, PostgreSQL, Scalability, Application Deployment, Cloud Hosting, User Accounts, Application Security, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    115 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    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: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Practical Python for AI Coding 1

    Skills you'll gain: NumPy, Python Programming, Artificial Intelligence, Programming Principles, Tensorflow, Data Structures, Development Environment, Computer Programming Tools, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    89 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Database Clients

    Skills you'll gain: MySQL, Django (Web Framework), Database Management, Database Application, SQL, Databases, Python Programming, Application Programming Interface (API), Data Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    96 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Model Evaluation, Regression Analysis, Supervised Learning, Machine Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Data Preprocessing, Statistical Methods, Python Programming, Linear Algebra, Algorithms

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master Kibana Monitoring & Python Integration

    Skills you'll gain: Dashboard, Kibana, System Monitoring, Automation, Scripting, Devops Tools, Python Programming, Linux, Data Visualization Software, Data Structures, JSON

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Python Scripting for DevOps

    Skills you'll gain: Scripting, Programming Principles, Computer Programming, Python Programming, Command-Line Interface, Development Environment, Integrated Development Environments, Debugging

    4
    Rating, 4 out of 5 stars
    ·
    142 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Advanced Django: Mastering Django and Django Rest Framework

    Skills you'll gain: Django (Web Framework), Performance Tuning, Postman API Platform, Restful API, Application Programming Interface (API), Data Validation, Authentications, Frontend Integration, React.js, API Testing, Authorization (Computing), PostgreSQL, API Design, Scalability, Application Frameworks, JSON, Full-Stack Web Development, Frontend Performance, Web Development, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    160 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Learn Python

    Skills you'll gain: Object Oriented Programming (OOP), File I/O, Data Structures, Python Programming, Programming Principles, User Interface (UI), Computer Programming, Scripting, Software Engineering, Performance Tuning, Scripting Languages, Web Development, Computational Thinking, Debugging, Random Forest Algorithm, Software Development, Web Development Tools

    4.6
    Rating, 4.6 out of 5 stars
    ·
    54 reviews

    Beginner · Specialization · 1 - 4 Weeks

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

  • Principles of Computing (Part 2): Rice University
  • GenAI for Algorithmic Trading: Coursera
  • Advanced Django: Building a Blog: Codio
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Practical Python for AI Coding 1: Korea Advanced Institute of Science and Technology(KAIST)
  • Database Clients: Meta
  • 머신 러닝: 회귀 모델: University of Washington
  • Master Kibana Monitoring & Python Integration: EDUCBA
  • Learning Deep Learning: Unit 1: Pearson
  • Introduction to Python Scripting for DevOps: LearnQuest

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