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  • Basic Statistics

Basic Statistics Courses

Basic Statistics courses can help you learn data collection methods, descriptive statistics, probability distributions, and hypothesis testing. You can build skills in interpreting data sets, conducting surveys, and performing regression analysis. Many courses introduce tools like Excel, R, and Python, that support analyzing data and visualizing results. By applying these skills and tools, you can effectively communicate findings and make informed decisions based on statistical evidence.


Popular Basic Statistics Courses and Certifications


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    Coursera

    Secure Access Control

    Skills you'll gain: Compliance Reporting, Governance, Role-Based Access Control (RBAC), Project Management, Security Controls, Compliance Auditing, Project Management Software, Auditing, Identity and Access Management

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Building Reliable LLM Systems

    Intermediate · Course · 1 - 3 Months

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    Alex Genadinik

    YouTube Ads & Video Marketing

    Skills you'll gain: Advertising, Advertising Campaigns, Sales Presentation, Digital Advertising, Video Production, Copywriting, Marketing Strategies, Target Audience, Drive Engagement

    Mixed · Course · 1 - 4 Weeks

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    John Wiley & Sons

    The Power of a Positive Team

    Skills you'll gain: Team Motivation, Team Performance Management, Team Building, Team Leadership, Teamwork, Management Training And Development, Organizational Leadership, Positivity, Leadership, Collaboration, Leadership Development, Conflict Management, Goal Setting, Culture Transformation, Visionary, Continuous Improvement Process, Empowerment, Trustworthiness, Verbal Communication Skills

    Beginner · Course · 1 - 3 Months

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    Coursera

    Payment Controls and Approvals

    Skills you'll gain: Fraud detection, Financial Controls, Regulatory Documents, Auditing, Payment Processing and Collection, Accounting, Standard Accounting Practices, Internal Controls, Transaction Processing, Compliance Auditing, Verification And Validation, Document Control

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Advanced RAG Patterns

    Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, AI Workflows, Prompt Engineering, Data-Driven Decision-Making, Generative AI, Data Validation, Model Evaluation, Verification And Validation, A/B Testing, MLOps (Machine Learning Operations), Embeddings

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Apply AI Techniques & Prescriptives

    Skills you'll gain: Operations Research, Strategic Thinking, Strategic Decision-Making, Business Strategy, AI Enablement, Business Analytics, Operational Analysis, Advanced Analytics, Analytics, Process Optimization, Applied Machine Learning, Process Improvement and Optimization, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Statistical Modeling, Decision Making, Resource Allocation, Performance Analysis, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Python Programming and Data Science Foundations for AI

    Skills you'll gain: Object Oriented Programming (OOP), Data Visualization, Seaborn, Flask (Web Framework), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Pandas (Python Package), Probability & Statistics, Data Manipulation, Data Structures, UI Components

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Apply SOLID Design to Optimize Java ML

    Skills you'll gain: Apache Maven, Maintainability, Gradle, Java, Software Design, Software Architecture, Software Design Patterns, Object Oriented Design, Object Oriented Programming (OOP), API Design, Machine Learning Methods, Programming Principles, Integration Testing, Dependency Analysis, User Interface (UI) Design, Design Strategies, Program Evaluation, Automation

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    Introduction to Data Engineering

    Skills you'll gain: Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Storage Technologies, Data Storage, Relational Databases, Data Integration, Apache Hadoop, Data Warehousing, Databases, Data Lakes, SQL, Data Governance, Apache Spark, Data Security, NoSQL, Data Transformation, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    3.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of London

    International Business Essentials

    Skills you'll gain: Financial Statements, Business Planning, Sampling (Statistics), Management Training And Development, Descriptive Statistics, Organizational Structure, Change Management, Data Presentation, Professional Networking, Business Mathematics, Verbal Communication Skills, Team Building, Team Management, Business Strategy, Professionalism, Resource Allocation, Competitive Analysis, Linear Algebra, Mathematical Modeling, International Finance

    4.6
    Rating, 4.6 out of 5 stars
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    2K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Analyze Marketing Data: Drive Campaign Success

    Skills you'll gain: Spreadsheet Software, Marketing Analytics, Pivot Tables And Charts, Trend Analysis, Marketing Budgets, Marketing Strategies, Microsoft Excel, Google Sheets, Business Reporting, Data-Driven Decision-Making, Performance Reporting, Time Series Analysis and Forecasting, Marketing, Descriptive Analytics, Performance marketing, Performance Metric, Business Metrics, Performance Measurement

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular basic statistics courses

  • Secure Access Control: Coursera
  • Building Reliable LLM Systems: Coursera
  • YouTube Ads & Video Marketing: Alex Genadinik
  • The Power of a Positive Team: John Wiley & Sons
  • Payment Controls and Approvals: Coursera
  • Advanced RAG Patterns: Coursera
  • Apply AI Techniques & Prescriptives: Coursera
  • Python Programming and Data Science Foundations for AI: Packt
  • Apply SOLID Design to Optimize Java ML: Coursera
  • Introduction to Data Engineering: IBM

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