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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


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    Coursera

    Analyze AI SEO Data for Impact

    Skills you'll gain: Web Analytics and SEO, Data Storytelling, Analytics, Statistical Methods, Statistical Analysis, Performance Reporting

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Connect and Transform External Data Seamlessly

    Skills you'll gain: OAuth, JSON, Data Wrangling, Application Programming Interface (API), API Design, Application Security

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Agentic AI Content for Practitioners (Teams: Legal)

    Skills you'll gain: Agentic Workflows, Agentic systems, Contract Compliance, Organizational Change, Legal Technology, Change Management, Contract Review, AI Enablement, Compliance Reporting, Compliance Management, Workflow Management, Regulation and Legal Compliance, Scalability, Automation, Process Design, Risk Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Washington

    Introduction to Public Speaking

    Skills you'll gain: Public Speaking, Verbal Communication Skills, Communication, Communication Strategies, Composure, Stress Management, Organizational Skills

    4.7
    Rating, 4.7 out of 5 stars
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    2.2K reviews

    Beginner · Course · 1 - 3 Months

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    Cloudera

    Modern Big Data Analysis with SQL

    Skills you'll gain: Database Design, SQL, Apache Hive, Relational Databases, Databases, Database Management, Big Data, Database Systems, Amazon Web Services, MySQL, Data Management, Amazon S3, Apache Hadoop, Data Storage, NoSQL, Operational Databases, Data Warehousing, Cloud Storage, Performance Tuning, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Optimize Spark Performance: Analyze & Accelerate

    Skills you'll gain: Apache Spark, Performance Tuning, PySpark, Data Pipelines, Data Processing, Systems Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    SQL for Data Science with R

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Data Modeling, Query Languages, Data Access, Data Manipulation, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    184 reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Analyze Traffic Sources with Analytics Dimensions

    Skills you'll gain: Google Analytics, Marketing Analytics, Web Analytics, Web Analytics and SEO, Data-Driven Decision-Making, Data Analysis, Analytics, Customer Insights, Analysis, Descriptive Analytics, Trend Analysis, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google

    Speed Up Data Analysis and Presentation Building

    Skills you'll gain: Data Visualization, Data Presentation, Responsible AI, Data Storytelling, Prompt Engineering, Data Analysis, AI Enablement, Oral Expression

    4.8
    Rating, 4.8 out of 5 stars
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    806 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    The Hong Kong University of Science and Technology

    Business English for Non-Native Speakers

    Skills you'll gain: Business Writing, Sales Presentation, Business Correspondence, Interviewing Skills, Business Communication, Case Studies, Business Ethics, Data Visualization, Oral Expression, Presentations, Target Audience, Report Writing, Writing, English Language, Business Analysis, Analysis, Communication Strategies, Verbal Communication Skills, Intercultural Competence, Communication

    4.5
    Rating, 4.5 out of 5 stars
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    2.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
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    Coursera

    Analyze and Optimize User Retention

    Skills you'll gain: Looker (Software), Customer Retention, Web Analytics, Customer Analysis, Customer Insights, Marketing Analytics, Trend Analysis, Data Analysis, Product Management, Performance Metric, Analysis, Time Series Analysis and Forecasting, Strategic Marketing, Marketing Channel, Forecasting

    Intermediate · Course · 1 - 4 Weeks

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

  • Analyze AI SEO Data for Impact: Coursera
  • Connect and Transform External Data Seamlessly: Coursera
  • Agentic AI Content for Practitioners (Teams: Legal): Coursera
  • Introduction to Public Speaking: University of Washington
  • Modern Big Data Analysis with SQL: Cloudera
  • Optimize Spark Performance: Analyze & Accelerate: Coursera
  • SQL for Data Science with R: IBM
  • Analyze Traffic Sources with Analytics Dimensions: Coursera
  • Speed Up Data Analysis and Presentation Building: Google
  • Databricks Machine Learning Fundamentals: Coursera

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