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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
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    IBM

    Data Analysis with R

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Model Evaluation, R Programming, Data Manipulation, Data Visualization, Predictive Analytics, Statistical Analysis, Data Science, Regression Analysis, Statistical Modeling, Data Cleansing, Data Preprocessing, Feature Engineering, Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    345 reviews

    Intermediate · Course · 1 - 3 Months

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    L

    LearnQuest

    Build AI Apps with No-Code Tools

    Skills you'll gain: Data Ethics, Predictive Modeling, No-Code Development, Model Deployment, Data Visualization, Data Presentation, Responsible AI, Data-Driven Decision-Making, Advanced Analytics, Business Intelligence, Business Analytics, Data Cleansing, Business Reporting, Global Marketing, LLM Application, AI Enablement, User Feedback, Data Preprocessing, Predictive Analytics, Data Architecture

    Beginner · Specialization · 1 - 3 Months

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    Packt

    Powering Up Your Power BI Skills

    Skills you'll gain: Data Analysis Expressions (DAX), Customer Insights, Power BI, Dashboard, Data Modeling, Data Transformation, Data Import/Export, Interactive Data Visualization, Business Intelligence, Time Series Analysis and Forecasting, Data Visualization Software, Data Cleansing, Trend Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Engineer Features and Evaluate Models for Production

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    R

    Real Madrid Graduate School Universidad Europea

    Future of data and technology in football

    Skills you'll gain: Applied Machine Learning, Image Analysis, Computer Vision, Analytics, Real Time Data, AI Enablement, Reinforcement Learning, Large Language Modeling, Advanced Analytics, Data-Driven Decision-Making, AI Workflows, Machine Learning, Artificial Intelligence, Analysis, Automation, Supervised Learning, Natural Language Processing, Data Presentation, Innovation, Data Collection

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    IBM Data Analyst Capstone Project

    Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Visualization, IBM Cognos Analytics, Data Manipulation, Data Collection, Data Analysis, Looker (Software), Web Scraping, Data Transformation, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    MathWorks

    Data Processing and Feature Engineering with MATLAB

    Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Matlab, Data Processing, Data Cleansing, Data Manipulation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
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    351 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Microsoft

    AI-Enhanced Data Analysis: From Raw Data to Deep Insights

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Data Cleansing, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing

    4.3
    Rating, 4.3 out of 5 stars
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    395 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    EDUCBA

    Big Data with Hadoop: Apply MapReduce, Pig & Hive

    Skills you'll gain: Apache Hive, Big Data, JSON, Case Studies, Economics, Policy, and Social Studies, Apache Hadoop, People Analytics, Policty Analysis, Research, and Development, Analytics, Data Analysis, Social Sciences, Data-Driven Decision-Making, Data Preprocessing, Data Processing, Business Analytics, Data Transformation, Query Languages, Debugging, Demography

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    186 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    R

    Real Madrid Graduate School Universidad Europea

    Applied Football Analytics - Looking at real-world cases

    Skills you'll gain: Data Synthesis, Data Integration, Data Literacy, Data Storytelling, Analysis, Case Studies, Business Analytics, Advanced Analytics, Analytical Skills, Strategic Decision-Making, Business Metrics, Forecasting, Media and Communications, Statistics, Persuasive Communication, Databases, Database Design, Innovation

    Beginner · Course · 1 - 4 Weeks

Searches related to statistics for data science

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1…616263…834

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

  • Data Analysis with R: IBM
  • Build AI Apps with No-Code Tools: LearnQuest
  • Powering Up Your Power BI Skills: Packt
  • Engineer Features and Evaluate Models for Production: Coursera
  • Future of data and technology in football : Real Madrid Graduate School Universidad Europea
  • IBM Data Analyst Capstone Project: IBM
  • Data Processing and Feature Engineering with MATLAB: MathWorks
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • AI-Enhanced Data Analysis: From Raw Data to Deep Insights: Microsoft
  • Big Data with Hadoop: Apply MapReduce, Pig & Hive: EDUCBA

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