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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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    IBM

    Data Engineering Capstone Project

    Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, Operational Databases, Relational Databases, Data Architecture, NoSQL, Data Pipelines, Applied Machine Learning, MongoDB, SQL, MySQL, Dashboard, Predictive Modeling, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    131 reviews

    Advanced · Course · 1 - 3 Months

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    University of Glasgow

    Data-Driven Leadership Skills Course 3: Data-Driven Leaders

    Skills you'll gain: Data Literacy, Business Transformation, Data-Driven Decision-Making, Strategic Leadership, Leadership, Leadership Development, Leadership and Management, Organizational Change, Big Data, Data Management, Analytical Skills, Decision Making, Agile Methodology

    4.8
    Rating, 4.8 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    NumPy & Pandas: Analyze & Transform Data

    Skills you'll gain: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Pivot Tables And Charts, Data Preprocessing, Data Cleansing, Data Analysis, Numerical Analysis, Statistical Analysis, Data Structures, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Transformation, Model Evaluation

    4.3
    Rating, 4.3 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

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    University of Pittsburgh

    Interactive, Geospatial & Narrative Data Visualization

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Visualization, Tableau Software, Matplotlib, Geospatial Information and Technology, Spatial Analysis, Geospatial Mapping, Visualization (Computer Graphics), Seaborn, Infographics, Heat Maps, Data Ethics, Text Mining, Data Mapping, Network Analysis

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Coursera

    GenAI for Data Science Teams

    Skills you'll gain: Generative AI, Data Ethics, AI Product Strategy, AI Enablement, Prompt Engineering, Responsible AI, Data Synthesis, Data-Driven Decision-Making, Data Preprocessing, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    L&T EduTech

    Structural scheme setting and ETABS Analysis of RCC Building

    Skills you'll gain: Architectural Drawing, Structural Engineering, Building Design, Structural Analysis, Architectural Engineering, Civil and Architectural Engineering, Building Codes, Construction, Engineering Software, Engineering Calculations, Engineering Design Process

    4.7
    Rating, 4.7 out of 5 stars
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    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Pennsylvania

    Statistics for Data Science Essentials

    Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics

    4.5
    Rating, 4.5 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Data Storage and Queries

    Skills you'll gain: Data Storage, Query Languages, Vector Databases, Data Lakes, File Systems, Database Systems, SQL, Databases, Database Management Systems, Data Architecture, Cloud Storage, Data Warehousing, Amazon Web Services, Apache Kafka, Amazon S3, Data Pipelines, Apache Spark, Performance Tuning, Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
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    78 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    SQL for Data Science with R

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Data Modeling, Query Languages, Data Access, Data Manipulation, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    184 reviews

    Beginner · Course · 1 - 3 Months

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    Microsoft

    Power BI Fundamentals and Data Modeling

    Skills you'll gain: Team Management, Governance

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    EDUCBA

    Mastering Data Visualization with Matplotlib

    Skills you'll gain: Matplotlib, Data Storytelling, Data Presentation, Data Visualization, Plot (Graphics), Scientific Visualization, Data Visualization Software, Scatter Plots, Image Quality, NumPy, Histogram, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    12 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Data Engineering Capstone Project: IBM
  • Data-Driven Leadership Skills Course 3: Data-Driven Leaders: University of Glasgow
  • NumPy & Pandas: Analyze & Transform Data: EDUCBA
  • Python per la Data Science: Università di Napoli Federico II
  • Interactive, Geospatial & Narrative Data Visualization: University of Pittsburgh
  • GenAI for Data Science Teams: Coursera
  • Structural scheme setting and ETABS Analysis of RCC Building: L&T EduTech
  • Statistics for Data Science Essentials: University of Pennsylvania
  • Data Storage and Queries: DeepLearning.AI
  • SQL for Data Science with R: IBM

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