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  • Python Data Analysis

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Results for "python data analysis"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Analyze and Predict Prices Using Regression Techniques

    Skills you'll gain: Model Evaluation, Predictive Analytics, Feature Engineering, Regression Analysis, Data Analysis, Data Preprocessing, Data Manipulation, Data Cleansing, Data Wrangling, Forecasting, Data Validation, Workflow Management, Statistical Modeling, Data Transformation, Exploratory Data Analysis

    Beginner · Course · 1 - 4 Weeks

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

    Logical Operations

    Crystal Reports: Report Fundamentals

    Skills you'll gain: Business Reporting, Microsoft Access, Report Writing, Microsoft Excel, Data Presentation, Business Intelligence Software, SAP Applications, Data Analysis Software, Business Intelligence, Data Analysis, Microsoft Office

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Text Mining and Analytics

    Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Predictive Analytics, Analytics, Data Analysis, Statistical Methods, Unsupervised Learning, Probability & Statistics, Logistic Regression, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    737 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Business Intelligence

    Skills you'll gain: Stakeholder Engagement, Business Intelligence, Data-Driven Decision-Making, Dashboard, Business Analytics, Real Time Data, Data Integration, Data Modeling, Data Storytelling, Data Analysis, Key Performance Indicators (KPIs), Data Presentation, Business Process, Project Implementation, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.1K reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Introduction to AI

    Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, LLM Application, Machine Learning, Natural Language Processing, Innovation, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Erasmus University Rotterdam

    Econometrics: Methods and Applications

    Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Data Analysis, Trend Analysis, Statistical Analysis, Statistical Modeling, Statistics, Case Studies, Forecasting, Model Evaluation, Probability, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of California San Diego

    Hadoop Platform and Application Framework

    Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Infrastructure, Data Processing, Distributed Computing, Performance Tuning, Scalability, Data Storage, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 3 Months

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

  • Introduction to Artificial Intelligence (AI): IBM
  • Analyze and Predict Prices Using Regression Techniques: EDUCBA
  • Crystal Reports: Report Fundamentals: Logical Operations
  • Structuring Machine Learning Projects: DeepLearning.AI
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Text Mining and Analytics: University of Illinois Urbana-Champaign
  • Foundations of Business Intelligence: Google
  • Automate, Analyze, and Evaluate ML Experiments: Coursera
  • Introduction to AI: Google
  • Bayesian Statistical Concepts and Methods: Arizona State University

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