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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


  • F

    Fractal Analytics

    Generative AI for Business Consultants

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Data Ethics, AI literacy, Management Consulting, Artificial Intelligence, Business Consulting, Consulting, AI Enablement, Risking, Microsoft Copilot, Quality Assurance, AI powered creativity, Market Intelligence, Market Research, Analysis, Automation, Project Scoping, Critical Thinking

    4.7 stars, 450 reviews, Beginner, Specialization, 1 - 3 Months

    ★ 4.7 (450) · Beginner · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    Duke University

    Excel to MySQL: Analytic Techniques for Business

    Skills you'll gain: Predictive Modeling, Data Storytelling, Database Design, Dashboard, Predictive Analytics, MySQL, Data Presentation, Relational Databases, SQL, Tableau Software, Business Analytics, Business Metrics, Data Visualization Software, Process Development, Data Visualization, Business Analysis, Data Analysis, Big Data, Business Communication, Microsoft Excel

    4.6 stars, 15K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (15K) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • K

    King Abdullah University of Science and Technology

    Fundamental Skills in Bioinformatics

    Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, Statistical Programming, R (Software), Unix Shell, Statistical Methods, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Statistical Visualization, Linux Servers, Programming Principles, Pandas (Python Package), Python Programming

    4.4 stars, 94 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.4 (94) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • D

    DeepLearning.AI

    Natural Language Processing in TensorFlow

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Artificial Neural Networks, Model Training, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing

    4.6 stars, 6.5K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (6.5K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus

    4 stars, 3.2K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4 (3.2K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Data Preprocessing, Text Mining, Machine Learning, Big Data, Model Evaluation, Performance Metric

    4.7 stars, 372 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (372) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Agentic systems, Markov Model, Decision Intelligence, Algorithms

    4.8 stars, 2.9K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.8 (2.9K) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • B

    Board Infinity

    Multi-Agent AI Systems: Build a Team of AI Bots with CrewAI

    Skills you'll gain: AI Orchestration, AI Workflows, Generative AI Agents, LLM Application, Agentic systems, Tool Calling, Context Management, Retrieval-Augmented Generation, Data Persistence

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
  • K

    KodeKloud

    Generative AI Engineering with OpenAI API and AWS Models

    Skills you'll gain: OpenAI API, Amazon Bedrock, OpenAI, Multimodal Prompts, Generative AI, AWS SageMaker, Generative AI Agents, LLM Application, Responsible AI, Retrieval-Augmented Generation, Prompt Engineering, Amazon Web Services, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Embeddings, Cyber Governance, Vector Databases, Data Ethics, Natural Language Processing

    Beginner · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • N

    Northeastern University

    Generative AI in Practice Part 2

    Skills you'll gain: Generative AI, Generative AI Agents, AI Workflows, AI Orchestration, CrewAI, Multimodal Prompts, Google Gemini, Model Deployment, Prompt Patterns, Retrieval-Augmented Generation, Responsible AI, Agentic systems, Prompt Engineering, AI Security, Application Deployment, OpenAI, Agentic Workflows, LLM Application, OpenAI API, Cloud Deployment

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
  • P

    Packt

    Debugging Machine Learning Models with Python

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, PyTorch (Machine Learning Library), Responsible AI, Debugging, Model Deployment, Model Training, Model Optimization, Deep Learning, Test Tools, Testability, Machine Learning, Data Preprocessing, Verification And Validation, Feature Engineering, Python Programming, AI Security, Test Driven Development (TDD), AI Enablement

    Intermediate · Course · 3 - 6 Months

    Category: New
    New
  • U

    University of Illinois Urbana-Champaign

    Text Retrieval and Search Engines

    Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Applied Machine Learning, Data Engineering, Web Scraping, AI Personalization, Model Evaluation, Machine Learning Algorithms, Web Analytics and SEO, Machine Learning, Model Optimization, Network Analysis, Statistical Methods, Statistical Modeling, Probability & Statistics

    4.5 stars, 965 reviews, Mixed, Course, 1 - 3 Months

    ★ 4.5 (965) · Mixed · Course · 1 - 3 Months

    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular beginner data analysis courses

  • Generative AI for Business Consultants: Fractal Analytics
  • Excel to MySQL: Analytic Techniques for Business: Duke University
  • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
  • Natural Language Processing in TensorFlow: DeepLearning.AI
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Unsupervised Machine Learning: IBM
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Multi-Agent AI Systems: Build a Team of AI Bots with CrewAI: Board Infinity
  • Generative AI Engineering with OpenAI API and AWS Models: KodeKloud
  • Generative AI in Practice Part 2: Northeastern University

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