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  • Introduction To Data Science

Results for "introduction to data science"


  • Status: Free Trial
    Free Trial
    C

    Coursera

    LangChain: Application Development Essentials

    Skills you'll gain: LangChain, LLM Application, Application Development, Large Language Modeling, Generative AI, Artificial Intelligence, Prompt Engineering, Natural Language Processing

    3.3
    Rating, 3.3 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Job Shop Scheduling Using MILP Optimization on RStudio

    Skills you'll gain: R Programming, Analysis, Mathematical Software, Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Структурирование проектов по машинному обучению

    Skills you'll gain: Debugging, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Simulations, Machine Learning, Statistical Machine Learning, Estimation, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Social Media and Influencer Marketing

    Skills you'll gain: Social Media Campaigns, AI Personalization, Social Media Marketing, Generative AI, Trend Analysis, Social Media, Canva (Software), Instagram, Digital Media Strategy, Social Media Strategy, Content Creation, Drive Engagement, ChatGPT, Automation, Creativity, Customer Engagement, Artificial Intelligence, Analytics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Applied Generative AI & NLP with Python

    Skills you'll gain: Prompt Engineering, Generative AI, Natural Language Processing, Large Language Modeling, OpenAI, LLM Application, Databases, Feature Engineering, Python Programming, Artificial Intelligence, Performance Tuning, Deep Learning

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Compensation, Benefits and Payroll

    Skills you'll gain: Payroll, HR Tech, Compensation Strategy, Generative AI Agents, Compensation and Benefits, Benefits Administration, Payroll Systems, Compensation Analysis, Compensation Management, Payroll Processing, Human Resources, Operational Efficiency, Responsible AI, Data Ethics, Workforce Management, AI Personalization, Automation, Employee Retention

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Curso Completo de Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Machine Learning, Machine Learning Algorithms, Data Processing

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Measures of Correlation and Contingency

    Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Quantitative Research, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Risk Managers: Advanced Risk Analysis Techniques

    Skills you'll gain: Prompt Engineering, Risk Modeling, Risk Analysis, Continuous Monitoring, Generative AI, Risk Management, Operational Risk, Data-Driven Decision-Making, Business Risk Management, Data Integration, Anomaly Detection, Threat Detection, Automation

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Regression Analysis, Python Programming

    2.9
    Rating, 2.9 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Machine Learning for Marketers

    Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Applied Machine Learning, Advanced Analytics, Supervised Learning, Dimensionality Reduction, Predictive Modeling, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Customer experience improvement, Personalized Service, Machine Learning, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

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

    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Ggplot2, Simulations

    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
1…352353354…834

In summary, here are 10 of our most popular introduction to data science courses

  • LangChain: Application Development Essentials: Coursera
  • Job Shop Scheduling Using MILP Optimization on RStudio: Coursera
  • Структурирование проектов по машинному обучению: DeepLearning.AI
  • GenAI for Social Media and Influencer Marketing: Coursera
  • Applied Generative AI & NLP with Python: Packt
  • GenAI for Compensation, Benefits and Payroll: Coursera
  • Curso Completo de Deep Learning: Coursera
  • Measures of Correlation and Contingency: American Psychological Association
  • GenAI for Risk Managers: Advanced Risk Analysis Techniques: Coursera
  • Neural Networks and Random Forests: LearnQuest

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