Analyze any data set to exploit them to design better software products.

In just 3 intensive days, you will learn the tools, techniques and fundamental concepts of data science.During the program you will work several data problem obtaining experience and resources to design a data product.

The data scientist is one who has all analytical skills to be able to transform data into an intelligent product that generates value.

· Who is going:

This training is widely recommended for:

• Companies that wish to develop analyzing your data
• Developers who want to add an important skill in their career
• Python developers who want to do more with language

· Pre-requirements:

Needed:

• Solid programming bases
• Essential knowledge of mathematics

Recommended:

• Know the development in Python
• Knowledge in Statistics

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· Content of the training:

• Introduction to data analysis
  • Introduction to data analysis
  • First steps with Jupyter and pandas
  • Manipulating numerical and categorical data with pandas
  • Principles of exploratory analysis
  • Introduction to data visualization
  • Applications of statistical data analysis
  • Cohort study model
  • Case study: Analyzing the behavior of my clients with cohorts
• Analysis of time series
  • Introduction to time series analysis
  • Basic Concepts of Time Series Correlation
  • Durbin-watson test
  • Time series prediction models
  • Model Holt-Winters Weighted Moving Average
  • Model Arma.
  • Arima model
  • Case study: predicting the inventory
  • Logistic regression model
  • Model of linear discriminant analysis
  • Case study: predicting time series with data from Yahoo Finance
• Classification and data grouping
  • Introduction to the data classification
  • Model of analysis of main components
  • Trees model
  • Model of vector support machines
  • Case Study: Credit Record Rating
  • Introduction to the data pool
  • Understanding the concept of distance
  • Kmeans model
  • Case study: Segmenting my clients