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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.


More to explore:

Popular Statistics For Data Science Courses and Certifications


  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Minitab Applied Statistics & Hypothesis Testing Mastery

    Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Business Analytics, Sampling (Statistics), Probability & Statistics, Probability Distribution, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Performance Analysis, Predictive Analytics, Statistical Inference, Case Studies, Statistical Visualization, Quality Control, Statistical Modeling

    Beginner · Specialization · 1 - 3 Months

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

    Packt

    Google Colab for Data Science & AI using Python

    Skills you'll gain: Plotly, Object Oriented Programming (OOP), Matplotlib, Pandas (Python Package), Data Visualization, Interactive Data Visualization, Seaborn, Data Analysis, NumPy, Data Visualization Software, Data Structures, Restful API, Python Programming, Application Programming Interface (API), Scatter Plots, Data Manipulation, Programming Principles, Computer Programming, Data Transformation, Program Development

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    Y

    Yonsei University

    Wireless Communications for Everybody

    Skills you'll gain: Wireless Networks, Communication Systems, Telecommunications, Digital Communications, System Design and Implementation, Network Protocols, Emerging Technologies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    Python Data Science: Environment Setup

    Skills you'll gain: Jupyter, Software Installation, System Configuration, Package and Software Management, Virtual Machines, Data Science, Pandas (Python Package), Data Processing, NumPy, Computer Programming Tools, Virtualization and Virtual Machines, Matplotlib, Data Analysis, Python Programming, Seaborn, Software Development, Computer Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time

    Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Forecasting, Data Science, Strategic Decision-Making, Statistical Methods, Anomaly Detection, Applied Machine Learning, Cybersecurity, Statistical Analysis

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Business Intelligence

    Skills you'll gain: Data Modeling, Stakeholder Engagement, Database Design, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Data Pipelines, Interactive Data Visualization, Business Reporting, Data-Driven Decision-Making, Data Visualization, Interviewing Skills, Applicant Tracking Systems, Business Process, AI Enablement, Business Analysis, Data Analysis, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Full Stack Developer: Front-End & Back-End from Scratch

    Skills you'll gain: Jest (JavaScript Testing Framework), Django (Web Framework), Version Control, Restful API, Responsive Web Design, Cascading Style Sheets (CSS), Unix Commands, HTML and CSS, Git (Version Control System), API Testing, GitHub, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), React.js, Mobile Development, SQL, Database Design, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    RAG for Generative AI Applications

    Skills you'll gain: Prompt Engineering, LangChain, Retrieval-Augmented Generation, LLM Application, Generative AI, Vector Databases, Embeddings, User Interface (UI), UI Components, Semantic Web, Database Systems, Model Evaluation, Data Storage Technologies, Databases, NoSQL, AI Enablement, Large Language Modeling, Flask (Web Framework), Database Management, AI Personalization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    553 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Getting and Cleaning Data

    Skills you'll gain: Data Manipulation, Data Cleansing, Data Integration, Data Preprocessing, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, MySQL, Application Programming Interface (API)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Understanding and Visualizing Data with Python

    Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Seaborn, Probability & Statistics, Jupyter, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Network Engr

    Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Cloud Infrastructure, Load Balancing, Prompt Engineering, Kubernetes, Network Performance Management, Network Monitoring, Firewall, Containerization, Virtual Networking, Application Performance Management, Network Architecture, Network Planning And Design, Network Security, Cloud Storage, Cloud Services, Identity and Access Management, Network Routing, Virtual Private Networks (VPN)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, AI Personalization, Program Development, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Analysis, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

1…363738…834

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

  • Minitab Applied Statistics & Hypothesis Testing Mastery: EDUCBA
  • Google Colab for Data Science & AI using Python: Packt
  • Wireless Communications for Everybody: Yonsei University
  • Python Data Science: Environment Setup: Logical Operations
  • Data Science Decisions in Time: Johns Hopkins University
  • Google Business Intelligence: Google
  • Meta Full Stack Developer: Front-End & Back-End from Scratch: Meta
  • RAG for Generative AI Applications: IBM
  • Getting and Cleaning Data: Johns Hopkins University
  • Understanding and Visualizing Data with Python: University of Michigan

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