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  • Beginner Data Analysis

Beginner Data Analysis Courses

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


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    Microsoft

    Microsoft PL-300 Exam Preparation and Practice

    Skills you'll gain: Power BI, Microsoft Copilot, Data Visualization Software, Data Storytelling, Data Modeling, Interactive Data Visualization, Data Analysis, Microsoft Power Platform, Asset Management, Data Manipulation, Data Transformation, Microsoft 365, Data Cleansing, Data Import/Export, Data Quality

    4.6
    Rating, 4.6 out of 5 stars
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    632 reviews

    Beginner · Course · 1 - 3 Months

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    Johns Hopkins University

    Algorithms for DNA Sequencing

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

    4.7
    Rating, 4.7 out of 5 stars
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    932 reviews

    Mixed · Course · 1 - 4 Weeks

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    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    13K reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Deployment, MLOps (Machine Learning Operations), JUnit, Decision Tree Learning, Build Tools, Performance Tuning, Classification And Regression Tree (CART), Java, Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Machine Learning, Apache

    Intermediate · Specialization · 3 - 6 Months

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    Google

    Project Initiation: Starting a Successful Project

    Skills you'll gain: Scope Management, Project Scoping, Stakeholder Analysis, Project Management Life Cycle, Project Documentation, Goal Setting, Project Management, Stakeholder Management, Cost Benefit Analysis, Project Management Software, AI Product Strategy, Resource Management, Strategic Thinking, Team Management, Business Writing

    4.8
    Rating, 4.8 out of 5 stars
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    24K reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

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    AI CERTs

    Prompt Engineering Mastery

    Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Prompt Patterns, Responsible AI, OpenAI, LLM Application, Generative AI, LangChain, Generative AI Agents, ChatGPT, Vibe coding, Natural Language Processing, Artificial Intelligence, AI Personalization, Debugging, Ideation, Productivity, Code Review, Computer Programming Tools, Ethical Standards And Conduct

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Flask (Web Framework), Software Design, Version Control, File Management, Application Deployment, Linux, Software Development Methodologies, Software Design Patterns, Data Import/Export, Programming Principles, Web Scraping, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    51K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Advanced Multi-Agent AI System

    Skills you'll gain: LangGraph, AI Orchestration, System Monitoring, CrewAI, Agentic Workflows, Continuous Monitoring, Agentic systems, Enterprise Application Management, Event Monitoring, Artificial Intelligence and Machine Learning (AI/ML), Site Reliability Engineering, AI Enablement, Model Deployment, Generative AI Agents, Generative Model Architectures, AI Security, Systems Architecture, Software Architecture, Application Deployment, Middleware

    Intermediate · Course · 1 - 4 Weeks

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    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science

    3.2
    Rating, 3.2 out of 5 stars
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    82 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Advanced R Programming

    Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning, Performance Testing

    4.2
    Rating, 4.2 out of 5 stars
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    576 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

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

  • Microsoft PL-300 Exam Preparation and Practice: Microsoft
  • Algorithms for DNA Sequencing: Johns Hopkins University
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Level Up: Java-Powered Machine Learning: Coursera
  • Project Initiation: Starting a Successful Project: Google
  • Learn to Choose the Right ML Model: Coursera
  • Prompt Engineering Mastery: AI CERTs
  • Applied Software Engineering Fundamentals: IBM
  • Advanced Multi-Agent AI System: Coursera
  • AI for Scientific Research: LearnQuest

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