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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
    E

    EDUCBA

    Splunk Administration and Advanced Topics

    Skills you'll gain: Splunk, Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Incident Response, Computer Security Incident Management, User Accounts, Security Information and Event Management (SIEM), Authorization (Computing), Machine Learning, Event Monitoring, Systems Administration, Performance Tuning, Data Visualization, Threat Detection, Anomaly Detection, Continuous Monitoring, Correlation Analysis, Data Analysis, Authentications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    49 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    GenAI For Business Analysis: Fine-Tuning LLMs

    Skills you'll gain: Model Evaluation, OpenAI API, Data Preprocessing, OpenAI, Large Language Modeling, Real Time Data, Data Manipulation, Generative AI, Python Programming, Unstructured Data, Performance Metric, Machine Learning, JSON

    4.1
    Rating, 4.1 out of 5 stars
    ·
    12 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    294 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Scripting with Alteryx: Python and R for Advanced Workflows

    Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, Data Science, Advanced Analytics, Trend Analysis, Data Preprocessing, Data Integration, Exploratory Data Analysis, Data Manipulation, Data Visualization Software, Data Analysis, Model Evaluation, Data Cleansing, Risk Modeling, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Classification Analysis

    Skills you'll gain: Classification Algorithms, Data Analysis, Model Evaluation, Logistic Regression, Supervised Learning, Decision Tree Learning, Predictive Modeling, Feature Engineering, Data Preprocessing, Machine Learning, Bayesian Statistics, Performance Tuning

    5
    Rating, 5 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Teaching Impacts of Technology: Data Collection, Use, and Privacy

    Skills you'll gain: Big Data, Cybersecurity, Pedagogy, Data Security, Cryptography, Information Privacy, Encryption, Responsible AI, AI Personalization, Computer Science, Information Technology, Web Applications, Web Servers, Machine Learning, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Maryland, College Park

    Digital Marketing 2

    Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Google Analytics, Digital Marketing, Search Engine Marketing, Web Analytics, Web Analytics and SEO, Google Ads, Online Advertising, Digital Advertising, Marketing Effectiveness, Advanced Analytics, A/B Testing, Applied Machine Learning, MarTech, Marketing Automation, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    توقع حضور المواعيد الطبية باستخدام Python

    Skills you'll gain: Exploratory Data Analysis, Data Preprocessing, Data Analysis, Artificial Intelligence, Predictive Modeling, Data Science, Data Manipulation, Jupyter, Feature Engineering, Machine Learning, Data Visualization, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Forecast bikeshare demand using time series models in R

    Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning, Data Preprocessing, Model Evaluation, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Statistics and Clustering in Python

    Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Statistics, Data Analysis, Statistical Analysis, Jupyter, Machine Learning Algorithms, Data Manipulation, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming, Machine Learning, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Splunk Administration and Advanced Topics: EDUCBA
  • GenAI For Business Analysis: Fine-Tuning LLMs: Coursera
  • Deep Learning and Reinforcement Learning: IBM
  • Scripting with Alteryx: Python and R for Advanced Workflows: Coursera
  • Classification Analysis: University of Colorado Boulder
  • Teaching Impacts of Technology: Data Collection, Use, and Privacy: University of California San Diego
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Digital Marketing 2: University of Maryland, College Park
  • توقع حضور المواعيد الطبية باستخدام Python: Coursera
  • Forecast bikeshare demand using time series models in R: Coursera

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