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    • Data Analytics

    Data Analytics Courses

    Data analytics courses can help you learn how to collect, interpret, and visualize data to uncover insights and support decision-making across industries.

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    Find the Best Data Analytics Course for Your Goals

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data Mining in Python

      Skills you'll gain: Data Mining, Applied Machine Learning, Unsupervised Learning, Data Science, Python Programming

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Network Modeling and Analysis in Python

      Skills you'll gain: Data Analysis, Python Programming, Jupyter

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Mastering Geospatial Analysis with QGIS

      Skills you'll gain: Spatial Analysis, GIS Software, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Building Information Modeling, Data Manipulation, Global Positioning Systems, Network Analysis, Image Analysis, Data Import/Export, Unsupervised Learning, Software Installation, Supervised Learning, UI Components

      4.1
      Rating, 4.1 out of 5 stars
      ·
      25 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Spark, Hadoop, and Snowflake for Data Engineering

      Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      53 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Deep Learning for Healthcare

      Skills you'll gain: Deep Learning, Health Informatics, Generative AI, Image Analysis, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Graph Theory, Computer Vision, Network Analysis, Machine Learning Software, Unsupervised Learning, Big Data

      3.3
      Rating, 3.3 out of 5 stars
      ·
      47 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Foundations of Data Structures and Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Graph Theory, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Computational Thinking, Design Strategies, Programming Principles, Applied Mathematics, Computer Science, Encryption, Network Model, Linear Algebra, Combinatorics, Analysis, Mathematical Modeling, Tree Maps, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      838 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Mobile App Developers

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Large Language Modeling, AI Personalization, Mobile Development, Data Ethics, OpenAI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, Machine Learning Methods, DevSecOps, Application Security, CI/CD, Cloud Applications, Natural Language Processing, IBM Cloud

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.7K reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Dashboard, Unit Testing, Docker (Software), Data Science, Machine Learning, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      326 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Regression Analysis: Simplify Complex Data Relationships

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Supervised Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Variance Analysis, Predictive Modeling, Probability & Statistics, Exploratory Data Analysis, Machine Learning, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      541 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Capstone Project with Deep Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Image Analysis, Data Manipulation, Deep Learning, Verification And Validation, Data Processing, Predictive Modeling, Applied Machine Learning, Computer Vision, Scientific Visualization, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      647 reviews

      Advanced · Course · 1 - 4 Weeks

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

    • Data Mining in Python: University of Michigan
    • Network Modeling and Analysis in Python: University of Michigan
    • Mastering Geospatial Analysis with QGIS: L&T EduTech
    • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
    • Deep Learning for Healthcare: University of Illinois Urbana-Champaign
    • Foundations of Data Structures and Algorithms: University of Colorado Boulder
    • Generative AI for Mobile App Developers: IBM
    • Probabilistic Graphical Models: Stanford University
    • IBM AI Enterprise Workflow: IBM
    • Regression Analysis: Simplify Complex Data Relationships: Google

    Why Learn Data Analytics?

    Data analytics is the process of examining raw data to find trends, patterns, and actionable insights. It’s a key driver in business, healthcare, finance, and technology, helping organizations make informed decisions. Learning data analytics can equip you with tools for solving problems, measuring outcomes, and creating value in a data-driven world.

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