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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


  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CVS Health

    Retail Customer Service

    Skills you'll gain: Transaction Processing, Retail Sales, Retail Store Operations, Cash Register Operation, Greeting Customers, Customer Inquiries, Customer Service, Teamwork, Data Entry, Customer Relationship Building, Point of Sale, E-Commerce, Order Management Systems, Professionalism, Payment Processing and Collection, Communication, Time Management, Social Media

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI: Labor and the Future of Work

    Skills you'll gain: Generative AI, AI Enablement, Automation, Human Resources, Workforce Management, Artificial Intelligence, Responsible AI, Workforce Planning, Socioeconomics, digital literacy, Data Ethics, Leadership and Management, Change Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    62 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Virtual Networks in Azure

    Skills you'll gain: Virtual Networking, Microsoft Azure, Network Troubleshooting, Virtual Private Networks (VPN), Network Architecture, Load Balancing, Network Administration, Virtual Machines, Network Security, Network Infrastructure, Network Monitoring, Scalability, Hybrid Cloud Computing, Distributed Denial-Of-Service (DDoS) Attacks

    4.1
    Rating, 4.1 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Professional Selling: Step 2 - Prepare Like a High-Performer

    Skills you'll gain: Sales Prospecting, Prospecting and Qualification, Cold Calling, Customer Relationship Building, Sales Process, Needs Assessment, Sales Pipelines, Sales Strategy, Verbal Communication Skills, Lead Generation, Communication, Relationship Management, Customer Engagement, Value Propositions

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Processing IoT Hub data streams with Azure Stream Analytics

    Skills you'll gain: Microsoft Azure, Internet Of Things, Real Time Data, Data Storage, Query Languages, Peripheral Devices

    4.5
    Rating, 4.5 out of 5 stars
    ·
    23 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    Ludwig-Maximilians-Universität München (LMU)

    Competitive Strategy and Organization Design Project

    Skills you'll gain: Business Research, Peer Review, Report Writing, Business Consulting, Management Consulting, Analysis, Business Reporting, Data Visualization, Organizational Strategy, Business Analytics, Competitive Analysis, Business Strategy, Presentations

    4.5
    Rating, 4.5 out of 5 stars
    ·
    45 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Coding with Generative AI

    Skills you'll gain: Generative AI, Generative Model Architectures, Object Oriented Programming (OOP), Large Language Modeling, Prompt Engineering, Artificial Neural Networks, Computer Programming, Debugging, Python Programming, Semantic Web, Critical Thinking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Imperial College London

    Introduction to Python for Researchers

    Skills you'll gain: Programming Principles, Microsoft Visual Studio, Computer Programming, Integrated Development Environments, Python Programming, Debugging, Development Environment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    W

    Whizlabs

    Getting Started with Microsoft Fabric

    Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Pipelines, Data Transformation, Data Analysis, Microsoft Azure, Analytics, Data Warehousing, Data Integration, Extract, Transform, Load, Data Cleansing, Data Modeling, Dashboard, Data Governance

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    LLM Engineering with RAG: Optimizing AI Solutions

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Vector Databases, Model Deployment, OpenAI API, Hugging Face, Scalability, Embeddings, Generative AI, Data Integration, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's guide to omic fundamentals

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Foundations of ML & Python for Data Science: Packt
  • Retail Customer Service: CVS Health
  • Generative AI: Labor and the Future of Work: University of Michigan
  • Virtual Networks in Azure: Whizlabs
  • Professional Selling: Step 2 - Prepare Like a High-Performer: Kennesaw State University
  • Processing IoT Hub data streams with Azure Stream Analytics: Coursera
  • Competitive Strategy and Organization Design Project: Ludwig-Maximilians-Universität München (LMU)
  • Coding with Generative AI: Fractal Analytics
  • Introduction to Python for Researchers: Imperial College London
  • Getting Started with Microsoft Fabric: Whizlabs

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