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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.


More to explore:

Popular Beginner Data Analysis Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Visualization and Modeling in Python

    Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    63 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Scripting with Python and SQL for Data Engineering

    Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Persistence, Data Manipulation, Data Structures, Database Management, Databases, Data Import/Export, Data Capture, Spatial Analysis, Python Programming, Hypertext Markup Language (HTML)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    108 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Tableau, Networks & Time Series Data Visualization

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Network Analysis, Tableau Software, Statistical Visualization, Network Model, Dashboard, Time Series Analysis and Forecasting, Matplotlib, Data Analysis, Seaborn, Graph Theory, Pandas (Python Package), Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    تمثيل البيانات رسومياً باستخدام بايثون - Data Visualization

    Skills you'll gain: Plot (Graphics), Data Visualization, Graphing, Matplotlib, Data Visualization Software, Graphical Tools, Histogram, Data Analysis, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    48 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Use Python for Non-Data Role

    Skills you'll gain: Jupyter, Microsoft Excel, Spreadsheet Software, Project Schedules, Data Import/Export, Data Visualization Software, Python Programming, Email Automation, Data Literacy, Data Structures, Data Manipulation

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    N

    Northeastern University

    Foundations for Data Analytics Part 1

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Structures, Time Series Analysis and Forecasting, Pandas (Python Package), Unsupervised Learning, Data Analysis, Machine Learning Algorithms, Computational Thinking, Data Preprocessing, Data Cleansing, Data Visualization, Python Programming, Algorithms

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    Advanced Python: Data Science, Testing, and Distribution

    Skills you'll gain: Data Cleansing, Data Preprocessing, Unit Testing, Package and Software Management, Python Programming, Data Science, Computer Programming, Debugging, Scripting, Software Development, Machine Learning, Database Application, Object Oriented Programming (OOP), Regression Analysis, Programming Principles, Scripting Languages, Databases, Object Oriented Design, Relational Databases, User Interface (UI) Design

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Data Representation and Serialization

    Skills you'll gain: Interoperability, Data Transformation, Secure Coding, Python Programming

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Python for Data Science: Real Projects & Analytics

    Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side

    4.6
    Rating, 4.6 out of 5 stars
    ·
    31 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Data Visualization and Modeling in Python: Duke University
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • Scripting with Python and SQL for Data Engineering: Duke University
  • Tableau, Networks & Time Series Data Visualization: University of Pittsburgh
  • تمثيل البيانات رسومياً باستخدام بايثون - Data Visualization: Coursera
  • Use Python for Non-Data Role: Coursera
  • Foundations for Data Analytics Part 1: Northeastern University
  • Advanced Python: Data Science, Testing, and Distribution: Logical Operations
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Mathematics for Machine Learning: Imperial College London

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