Data Science

Data Science

1. Sklils

   • There are many technical skills required
     • Programming
     • Knowledge of SAS and Other Analytical Tools
     • Adept at Working with Unstructured Data
     • Mathematics

2. What is?

   • Analize large volumes of information
     • Understand patterns
     • Forecast
     • Decision making

3. Applications

   • Business
     • Tracking customer's desocions
   • Goverment
     • Health, social, politics
   • Sports
     • "Money ball"

4. Data Analysis

   • Data science
   • Extraxct meaning from data
     • Skills
       • Structured Query Language
       • Statistical programming languages
         • R
         • Python
       • Machine learning
       • Probability and statistics
     • Application
       • Industry
       • Security
       • Education
     • With past facts

5. Data Science vs Data Analysis

   • Data Science focuses on historical data
     • Involves branches of broader statistics and analysis.
   • Data Science is a multi-disciplinary blend
     • Machine learning, Predicting modeling
       • Data analytics is more specific than data science

6. Big Data and Statistical analysis

   • Big Data
     • high volume, high velocity, or high-variety information assets
       • Relation
         • It can be obtained information from applying stadistics in Big Data
         • Many uses such as
           • Health
           • Business
   • Statistical analysis
     • collection and interpretation of data in order to uncover patterns and trends.

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