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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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    Explore the Statistics for Data Science Course Catalog

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

      Pearson

      Quick Start Guide to Large Language Models (LLMs): Unit 2

      Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, AI Personalization, Generative AI, Performance Tuning, Artificial Intelligence, Applied Machine Learning, Natural Language Processing, Data Ethics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Michigan

      Accounting for Decision Making

      Skills you'll gain: Accounting, General Accounting, Financial Statements, Fixed Asset, Financial Statement Analysis, Accounts Receivable, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      470 reviews

      Intermediate · Course · 1 - 3 Months

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

      Pearson

      Quick Start Guide to Large Language Models (LLMs): Unit 3

      Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Deep Learning, Reinforcement Learning, Image Analysis, Natural Language Processing, Performance Tuning, Application Deployment, Performance Testing, Computer Vision

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Inference and Hypothesis Testing in Data Science Applications

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

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Programming for Python Data Science: Principles to Practice

      Skills you'll gain: Matplotlib, Pandas (Python Package), Plot (Graphics), Data Cleansing, Algorithms, Software Engineering, Predictive Modeling, Debugging, Data Visualization Software, Data Visualization, NumPy, Scatter Plots, Query Languages, Data Manipulation, Data Science, Data Storytelling, Regression Analysis, Object Oriented Programming (OOP), Python Programming, Data Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      73 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Real-World Applications & Model Deployment in Java

      Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Enterprise Application Management, Java, Deep Learning, Machine Learning, Machine Learning Algorithms, Spring Framework, Innovation, Application Deployment, Reinforcement Learning, CI/CD, Spring Boot

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Skills you'll gain: Theoretical Computer Science, Computer Science, Data Structures, Computer Architecture, Algorithms, Programming Principles, Computer Systems, Computational Thinking, Java, Scalability, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      715 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      T

      The University of Sydney

      Introduction to Calculus

      Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Engineering Calculations, Geometry, Trigonometry, Graphing, Mathematical Modeling, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Marketing Science Certification Prep

      Skills you'll gain: Marketing Analytics, Descriptive Statistics, Marketing Effectiveness, Marketing, A/B Testing, Bayesian Statistics, Key Performance Indicators (KPIs), Statistical Hypothesis Testing, Performance Analysis, Performance Measurement, Customer Analysis, Statistical Inference, Statistics, Statistical Modeling, Advertising Campaigns, Sampling (Statistics), Web Analytics, Google Analytics, Scheduling, Marketing Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      D

      Duke University

      Behavioral Finance

      Skills you'll gain: Behavioral Economics, Decision Making, Consumer Behaviour, Strategic Decision-Making, Finance, Economics, Financial Analysis, Risk Analysis, Psychology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      LLM Benchmarking and Evaluation Training

      Skills you'll gain: Large Language Modeling, ChatGPT, Generative AI, Natural Language Processing, Prompt Engineering, Language Interpretation, Translation, and Studies, Text Mining, Applied Machine Learning, Benchmarking, Performance Testing, Analytical Skills

      Beginner · Course · 1 - 4 Weeks

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

      Pearson

      Quick Start Guide to Large Language Models (LLMs): Unit 1

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, Natural Language Processing, OpenAI, Semantic Web, Generative AI Agents, Generative AI, Deep Learning, Artificial Intelligence, Open Source Technology

      Intermediate · Course · 1 - 4 Weeks

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

    • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
    • Accounting for Decision Making: University of Michigan
    • Quick Start Guide to Large Language Models (LLMs): Unit 3: Pearson
    • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
    • Programming for Python Data Science: Principles to Practice: Duke University
    • Real-World Applications & Model Deployment in Java : Board Infinity
    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • Introduction to Calculus: The University of Sydney
    • Meta Marketing Science Certification Prep: Meta
    • Behavioral Finance: Duke University

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