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  • Introduction To Data Science

Results for "introduction to data science"


  • Status: New
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    EDUCBA

    Python: Master House Price Prediction with Linear Regression

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Validation, Data Transformation, Pandas (Python Package), Matplotlib

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Project Managers: Scaling with GenAI

    Skills you'll gain: Innovation, Project Management, AI Product Strategy, Responsible AI, Generative AI, Project Coordination, Cost Reduction, Project Planning, Resource Allocation, Process Improvement, Risk Management, Predictive Analytics

    4.5
    Rating, 4.5 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California, Santa Cruz

    C for Everyone, Part 1: Programming Fundamentals

    Skills you'll gain: Programming Principles, Pseudocode

    4.5
    Rating, 4.5 out of 5 stars
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    6.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Advanced Semantic Processing

    Skills you'll gain: Semantic Web, Natural Language Processing, Data Processing, Text Mining, Applied Machine Learning, Unstructured Data, Unsupervised Learning, Dimensionality Reduction, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

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    U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad: principios de Inferencia

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    3.1
    Rating, 3.1 out of 5 stars
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    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Computer Vision: Face Recognition Quick Starter in Python

    Skills you'll gain: Computer Vision, Python Programming, Image Analysis, Real Time Data, Visualization (Computer Graphics), Development Environment, Deep Learning, Software Installation, Performance Tuning, System Configuration, Algorithms

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Computational Thinking, Computer Programming, Programming Principles, Computer Science, Advanced Mathematics, Mathematical Theory & Analysis, Python Programming, Program Development, Analysis, Data Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    234 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Applied Machine Learning, Python Programming, Fraud detection, Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Data Processing

    Intermediate · Course · 3 - 6 Months

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    Northeastern University

    Program Structure and Algorithms Part 2

    Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Pseudocode, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics

    Mixed · Course · 1 - 3 Months

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

    IBM

    IBM Back-End Development

    Skills you'll gain: Software Development Life Cycle, Open Web Application Security Project (OWASP), Istio, Linux Commands, Software Architecture, Application Deployment, Kubernetes, NoSQL, Bash (Scripting Language), MongoDB, Restful API, Shell Script, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Grafana, Microservices, Data Import/Export, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    52K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Data Visualization, Machine Learning Algorithms, Interactive Data Visualization, Applied Machine Learning, Machine Learning, Statistical Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Matplotlib, Algorithms, NumPy, Python Programming, Development Environment

    Intermediate · Course · 1 - 3 Months

Searches related to introduction to data science

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introduction to bayesian statistics for data science
introduction to clinical data science
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In summary, here are 10 of our most popular introduction to data science courses

  • Python: Master House Price Prediction with Linear Regression: EDUCBA
  • GenAI for Project Managers: Scaling with GenAI: Coursera
  • C for Everyone, Part 1: Programming Fundamentals: University of California, Santa Cruz
  • Advanced Semantic Processing: Packt
  • Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
  • Computer Vision: Face Recognition Quick Starter in Python: Packt
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • Building Recommender Systems with Machine Learning and AI: Packt
  • Program Structure and Algorithms Part 2: Northeastern University
  • IBM Back-End Development: IBM

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