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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
    C

    Corporate Finance Institute

    Data Science & Machine Learning Fundamentals

    Skills you'll gain: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Data Literacy, Statistical Methods, Predictive Analytics, Predictive Modeling, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Business Intelligence, Machine Learning Methods, Machine Learning, Data Cleansing, Exploratory Data Analysis, Data Preprocessing, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    J

    JetBrains

    Python: Mastering NumPy Essentials

    Skills you'll gain: NumPy, Python Programming, Linear Algebra, Numerical Analysis, Data Manipulation, Data Processing, Integrated Development Environments, Data Science, Data Management, Software Development Tools, Software Development, Machine Learning, Engineering, Scientific, and Technical Instruments

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google Cloud

    Integrate Generative AI Into Your Data Workflow

    Skills you'll gain: Generative AI, Data Analysis, Model Training, Data-Driven Marketing, Customer Relationship Management (CRM) Software, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Data Science, Data Processing, Prompt Engineering

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Data Store, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Scalability, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    343 reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Data Analysis with the FraudFinder Workshop

    Skills you'll gain: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Model Training, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Data Store, Jupyter, Data Analysis, Data Warehousing, Machine Learning

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming

    3.5
    Rating, 3.5 out of 5 stars
    ·
    56 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Mathematical Software, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I
    U
    I

    Multiple educators

    Data Science Foundations

    Skills you'll gain: Dashboard Creation, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Analytical Skills, Predictive Modeling, Python Programming, Machine Learning Algorithms, Data Science, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
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    117K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Architecture, Machine Learning, Artificial Intelligence

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Plot (Graphics), Data Visualization, Data Literacy, Statistical Methods, Data Science, Applied Machine Learning, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Processing, Analytics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    735 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Case Studies, Data Collection, Data Capture, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    747 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms, Data Presentation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    833 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Data Science & Machine Learning Fundamentals: Corporate Finance Institute
  • Python: Mastering NumPy Essentials: JetBrains
  • Integrate Generative AI Into Your Data Workflow: Google Cloud
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Data Analysis with the FraudFinder Workshop: Google Cloud
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Data Science Foundations: IBM
  • Databricks ML in Action: Packt
  • Foundations of Data Science: K-Means Clustering in Python: University of London

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