Course Objectives

• This Course Objective Hasn't Been Provided Yet

Target Audience

This course is for specialists who aspire to become accustomed with data science components, and how they can be applied coordinately to solve data and business problems, as well as research issues. The course is specifically suited for managers and persons involved in marketing, CRM, research, manufacturing, quality control, app developers and IT analysts from almost any sector, such as banks, insurance companies, retail, governments, manufacturers, healthcare, telecom, transport and distributors.

• Data Analysis and Visualization
  • Types of data and data visualization
  • Evaluating the representative quality of data
  • Using descriptive statistics to summarize data
  • Profiling two or more groups with statistical tests
  • Visualizing multiple analytics with powerful smart charts
  • Simple Linear Regression
  • Simple Logistic Regression
  • Managing and removing outliers
• Machine Learning – Supervised
  • Multiple linear regressions
  • Multiple logistic regressions
  • Discriminant analysis: Functions and probabilistic models
  • Decision trees: CART – CHAID and Random Forests
  • Support vector machines
  • K-nearest neighbors
  • Naïve Bayes
  • Neural networks, deep learning and AI possibilities
• Business Intelligence Forecasting – R vs. Python
  • Business Intelligence
    • Databases: collection and sources
    • ETL
    • Storage: Data warehouses, data marts and data lakes
    • Analytics: BI Tools, OLAP, Dashboards, etc.
  • Forecasting
    • Trends
    • Exponential smoothing: Additive and multiplicative methods
    • Time Series: Additive and multiplicative methods
    • ARIMA models
  • R vs. Python
    • Statistical Tests
    • Machine Learning algorithms

This course hasn't been scheduled yet, however you can request for In-House training