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Big Data Analytics

Abraham García Big Data Analista Español

Contenido del mapa

Big Data Analytics

  1. Business Analytics

    • Decision-Making
      • Using data insights to select the best course of action for business objectives
        • Operational Optimization
          • Improving day-to-day business processes through data insights
        • Strategic Planning
          • Developing long-term goals based on data analysis and forecasts
        • Data-Driven Insights
          • Extracting actionable information from data to support decision-making
    • Performance Metrics
      • Quantitative measures used to evaluate and track business success
        • Key Performance Indicators (KPIs)
          • Metrics that reflect critical success factors for an organization
        • Benchmarking
          • Comparing performance metrics against industry standards or competitors
        • Continuous Improvement
          • Iterative efforts to enhance business processes and outcomes
    • Market Trends
      • Patterns and movements in the market that influence business strategies
        • Customer Behavior Analysis
          • Understanding how customers act and make purchasing decisions
        • Competitive Analysis
          • Assessing competitors' strategies and market positioning
        • Forecasting
          • Predicting future market conditions using historical data
  2. Data and Statistical Methods

    • Data Analysis
      • Examining and interpreting raw data to extract useful insights
        • Exploratory Data Analysis (EDA)
          • Initial examination of data to discover patterns and anomalies
        • Data Cleaning and Transformation
          • Preparing raw data by correcting errors and reformatting it
        • Data Visualization
          • Representing data visually to make insights easier to understand
    • Probability
      • The study of uncertainty and the likelihood of events
        • Probability Distributions
          • Mathematical functions describing how probabilities are distributed over values
        • Hypothesis Testing
          • Statistical method for testing assumptions about a dataset
        • Bayesian Inference
          • Updating probabilities based on new data and prior beliefs
    • Regression Models
      • Statistical techniques to understand relationships between variables
        • Linear Regression
          • Modeling relationships using a straight line between variables
        • Logistic Regression
          • Predicting categorical outcomes from data
        • Time Series Analysis
          • Analyzing data points collected or recorded over time

Información

Descripción
Tarea 2
Creado por
Abraham García
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