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  • Data Analyst

Data Analyst Courses

Data analyst courses can help you learn data visualization, statistical analysis, and data cleaning techniques. You can build skills in interpreting complex datasets, creating meaningful reports, and communicating insights effectively. Many courses introduce tools like Excel, SQL, and Tableau, that support analyzing data and presenting findings in a clear, impactful way. Additionally, you may explore methods for predictive analytics and data storytelling, enhancing your ability to make data-driven decisions.


Popular Data Analyst Courses and Certifications


  • Status: Free Trial
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    Google Cloud

    Preparing for Google Cloud Certification: Cloud Engineer

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Cloud Management, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Services, Load Balancing, Application Deployment, Infrastructure as Code (IaC), Virtual Machines, Cloud Computing, Virtual Networking

    4.7
    Rating, 4.7 out of 5 stars
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    59K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    488 reviews

    Advanced · Course · 1 - 3 Months

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    IBM

    Generative AI for Educators

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Personalization, Responsible AI, Data Ethics, Education Software and Technology, Digital pedagogy, Learning Management Systems, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Ethical Standards And Conduct, Information Privacy, Machine Learning, Emerging Technologies, Context Management, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Specialization · 1 - 3 Months

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    Multiple educators

    IBM and ISC2 Cybersecurity Specialist

    Skills you'll gain: Incident Response, Digital Forensics, Network Security, Computer Security Incident Management, Cloud Computing Architecture, Penetration Testing, Cloud Services, Business Continuity, Cloud Deployment, Disaster Recovery, Security Controls, Generative AI, Configuration Management, Governance, Cybersecurity, Data Storage, Peripheral Devices, Application Security, Information Technology, Cryptography

    4.7
    Rating, 4.7 out of 5 stars
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    14K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    S

    SAS

    Statistical Thinking for Industrial Problem Solving, presented by JMP

    Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
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    99 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Feature Engineering, Statistical Analysis, Classification Algorithms, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
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    819 reviews

    Intermediate · Course · 1 - 3 Months

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    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering

    4.5
    Rating, 4.5 out of 5 stars
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    177 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Convolutional Neural Networks, Health Policy, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
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    610 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Illinois Urbana-Champaign

    Digital Marketing

    Skills you'll gain: Data Storytelling, Marketing Analytics, Keyword Research, Email Marketing, Customer experience strategy (CX), Case Studies, Strategic Communication, Search Engine Marketing, Web Analytics, Marketing Communications, Digital Marketing, Analytics, Marketing Strategies, Digital Media Strategy, Campaign Management, AI Personalization, Marketing Management, Marketing, Data Analysis, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
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    23K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    720 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Deep Learning, Autoencoders, Tensorflow, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
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    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Generative AI for Human Resources (HR) Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, HR Tech, Human Resources, Workforce Planning, Human Resource Strategy, LLM Application, AI Enablement, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, AI Personalization, Employee Engagement, Recruitment, Machine Learning, Employee Onboarding

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Preparing for Google Cloud Certification: Cloud Engineer: Google Cloud
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Generative AI for Educators: IBM
  • IBM and ISC2 Cybersecurity Specialist: ISC2
  • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
  • Supervised Machine Learning: Regression: IBM
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Fundamentals of Machine Learning for Healthcare: Stanford University
  • Digital Marketing: University of Illinois Urbana-Champaign
  • TensorFlow 2 for Deep Learning: Imperial College London

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