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    • Statistics For Data Science

    Statistics for Data Science Courses Online

    Master statistics for data science applications. Learn about statistical techniques, data analysis, and machine learning models.

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    Get in-depth knowledge of a subject by completing a series of courses and projects.
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    Explore the Statistics for Data Science Course Catalog

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Onboarding: Automating Employee Journeys

      Skills you'll gain: AI Personalization, Automation, Employee Surveys, Employee Onboarding, Human Resource Strategy, Human Resources, Generative AI Agents, Ethical Standards And Conduct, Document Management, ChatGPT, Employee Engagement, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      S

      Simplilearn

      Selenium Course for Beginners

      Skills you'll gain: Test Automation, Software Testing, Scripting, Automation, Regression Testing, Web Development Tools, Browser Compatibility, Test Case, Scalability

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Advance Fine-Tuning for LLMs

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Natural Language Processing, Reinforcement Learning, Performance Tuning, Probability Distribution

      4.3
      Rating, 4.3 out of 5 stars
      ·
      91 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud

      Skills you'll gain: Metadata Management, Data Sharing, Data Pipelines, Extract, Transform, Load, Cloud Engineering, Google Cloud Platform, Data Migration, Data Warehousing, Data Processing, Big Data, Data Storage, Data Management, Automation, Command-Line Interface

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Introduction to Transformer Models for NLP: Unit 1

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Deep Learning

      Intermediate · Course · 1 - 4 Weeks

    • T

      The Chinese University of Hong Kong

      Advanced Modeling for Discrete Optimization

      Skills you'll gain: Debugging, Mathematical Modeling, Operations Research, Combinatorics, Algorithms, Geometry, Data Structures

      4.9
      Rating, 4.9 out of 5 stars
      ·
      139 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Transfer Learning for NLP with TensorFlow Hub

      Skills you'll gain: Tensorflow, Natural Language Processing, Keras (Neural Network Library), Text Mining, Deep Learning, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      179 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Building Batch Pipelines in Cloud Data Fusion

      Skills you'll gain: Data Wrangling, Data Transformation, Data Pipelines, Extract, Transform, Load, Cloud Engineering, Google Cloud Platform, Data Integration, Cloud Development, Cloud-Based Integration, Data Analysis, Database Administration, Data Management

      Beginner · Project · Less Than 2 Hours

    • P

      Packt

      Smartsheet Tutorial for Beginners

      Skills you'll gain: Workflow Management, Spreadsheet Software, Project Management Software, Data Entry, Excel Formulas, Automation, Data Management, Collaborative Software, Data Sharing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      AI for Creative Work

      Skills you'll gain: Data Ethics, Generative AI, Legal Risk, Artificial Intelligence, Art History, Creativity, Risk Analysis, Image Analysis, Business Risk Management, Prompt Engineering, Business Ethics, Ethical Standards And Conduct, Innovation, Environmental Issue, Design Software, Problem Solving, Analysis, Experimentation, Leadership, Collaboration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      74 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      R: Apply & Analyze K-Means Clustering for Unsupervised ML

      Skills you'll gain: Unsupervised Learning, Customer Analysis, Customer Insights, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Analysis, Data Manipulation

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Customer Support

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Standard Operating Procedure, Customer Support, OpenAI, Customer Service, Personalized Service, Large Language Modeling, Artificial Intelligence, Program Development, Customer experience improvement, Customer Insights, Workflow Management, Automation, Content Creation, IBM Cloud, Image Analysis, Virtual Environment, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.4K reviews

      Intermediate · Specialization · 1 - 3 Months

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    1…165166167…834

    In summary, here are 10 of our most popular statistics for data science courses

    • GenAI for Onboarding: Automating Employee Journeys: Coursera Instructor Network
    • Selenium Course for Beginners: Simplilearn
    • Generative AI Advance Fine-Tuning for LLMs : IBM
    • Introduction to Data Engineering on Google Cloud: Google Cloud
    • Introduction to Transformer Models for NLP: Unit 1: Pearson
    • Advanced Modeling for Discrete Optimization: The Chinese University of Hong Kong
    • Transfer Learning for NLP with TensorFlow Hub: Coursera Project Network
    • Building Batch Pipelines in Cloud Data Fusion: Google Cloud
    • Smartsheet Tutorial for Beginners: Packt
    • AI for Creative Work: University of Michigan

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