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  • Statistics For Data Science

Statistics For Data Science Courses

Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.

Popular Statistics For Data Science Courses and Certifications


  • P

    Packt

    Machine Learning with R

    Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Statistical Machine Learning, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression

    Intermediate · Course · 3 - 6 Months

  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    ★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

  • V

    Vanderbilt University

    ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier

    Skills you'll gain: Generative AI Agents, Prompt Engineering, ChatGPT, Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Agentic Workflows, Generative AI, LLM Application, AI literacy, Email Automation, OpenAI, OpenAI API, Expense Management, AI Personalization, AI Enablement, AI Workflows, AI powered creativity, Artificial Intelligence, Automation

    ★ 4.8 (8.5K) · Beginner · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Architect

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Prompt Engineering Tools, Cloud Deployment, Cloud Computing, Cloud Solutions, Prompt Patterns, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Network Planning And Design

    ★ 4.7 (62K) · Intermediate · Professional Certificate · 3 - 6 Months

  • J

    Johns Hopkins University

    Statistics for Genomic Data Science

    Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing, Logistic Regression

    ★ 4.2 (379) · Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Data Warehouse Fundamentals

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, IBM DB2, Star Schema, PostgreSQL, Snowflake Schema, Data Mart, Data Architecture, Data Modeling, Database Design, Database Systems, Data Lakes, Data Integration, Query Languages, Data Validation, Data Cleansing, SQL, Data Quality

    ★ 4.5 (257) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Crunch Spatial Stats

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Information and Technology, Geospatial Mapping, Statistical Methods, Data Analysis, Statistical Analysis, Correlation Analysis, Technical Communication

    Beginner · Course · 1 - 4 Weeks

  • V

    Vanderbilt University

    MATLAB Programming for Engineers and Scientists

    Skills you'll gain: Prompt Engineering, Scientific Visualization, Image Analysis, Data Visualization Software, File I/O, Matlab, Machine Learning Methods, Algorithms, User Interface (UI), Applied Machine Learning, Prompt Patterns, UI Components, Human Computer Interaction, ChatGPT, LLM Application, Large Language Modeling, Computer Programming, Code Reusability, Data Analysis, Functional Design

    ★ 4.8 (18K) · Beginner · Specialization · 3 - 6 Months

  • G

    Google

    AI for App Building

    Skills you'll gain: Responsible AI, Google Gemini, AI Workflows, AI Enablement, Generative AI, Artificial Intelligence, Google Workspace, AI Personalization

    ★ 4.8 (1.4K) · Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Successful Negotiation: Essential Strategies and Skills

    Skills you'll gain: Contract Negotiation, Negotiation, Price Negotiation, Mediation, Arbitration, Intercultural Competence, Conflict Management, Cultural Sensitivity, Influencing, Business Ethics, Decision Making, Ethical Standards And Conduct, Planning, Constructive Feedback, Analysis

    ★ 4.8 (20K) · Beginner · Course · 1 - 3 Months

    Category: Bestseller
    Bestseller
  • O

    Olay

    Introduction to Cosmetic and Skincare Science

    Skills you'll gain: Chemistry, Biochemistry, Safety Standards, General Science and Research, Ethical Standards And Conduct, Biology, Regulatory Compliance, Sustainability Standards, Product Testing, Product Development, Physiology

    ★ 4.7 (348) · Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Dimensionality Reduction, Large Language Modeling, Machine Learning Methods, Text Mining, Statistical Machine Learning, Fine-tuning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Tensorflow, Logistic Regression, Feature Engineering, Applied Machine Learning

    ★ 4.6 (6.2K) · Intermediate · Specialization · 3 - 6 Months

1…323334…834

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

  • Machine Learning with R: Packt
  • Introduction to Machine Learning: Duke University
  • ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier: Vanderbilt University
  • Preparing for Google Cloud Certification: Cloud Architect: Google Cloud
  • Statistics for Genomic Data Science: Johns Hopkins University
  • Data Warehouse Fundamentals: IBM
  • Crunch Spatial Stats: Coursera
  • MATLAB Programming for Engineers and Scientists: Vanderbilt University
  • AI for App Building: Google
  • Successful Negotiation: Essential Strategies and Skills: University of Michigan

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