Fundamentals of Data Science DSE10E | TrainingTEK

Fundamentals of Data Science DSE10E

Data Science Overview Understanding Data Science Exploratory Data Analysis Understanding Data Preparation Data Analysis and Algorithms Understanding Outliers Understanding Association Analysis Understanding Cluster Analysis Understanding Classification Analysis Understanding Time Series Analysis Understanding Feature Selection Understanding Ensemble Methods Understanding Model Deployment and Management Understanding Simulation and Optimization

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Requirements

  • Data Science Overview Understanding Data Science Exploratory Data Analysis Understanding Data Preparation Data Analysis and Algorithms Understanding Outliers Understanding Association Analysis Understanding Cluster Analysis Understanding Classification Analysis Understanding Time Series Analysis Understanding Feature Selection Understanding Ensemble Methods Understanding Model Deployme
    + See More
    nt and Management Understanding Simulation and Optimization
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Description

  • Myths and Challenges
    • Applying Data Science
  • Data Science Overview
    • Understanding Data Science
  • Exploratory Data Analysis
    • Understanding Data Preparation
  • Data Analysis and Algorithms
    • Understanding Outliers
    • Understanding Association Analysis
    • Understanding Cluster Analysis
    • Understanding Classification Analysis
    • Understanding Time Series Analysis
    • Understanding Feature Selection
    • Understanding Ensemble Methods
    • Understanding Model Deployment and Management
    • Understanding Simulation and Optimization
  • Myths and Challenges
    • Applying Data Science
  • Data Science Overview
    • Understanding Data Science
  • Exploratory Data Analysis
    • Understanding Data Preparation
  • Data Analysis and Algorithms
    • Understanding Outliers
    • Understanding Association Analysis
    • Understanding Cluster Analysis
    • Understanding Classification Analysis
    • Understanding Time Series Analysis
    • Understanding Feature Selection
    • Understanding Ensemble Methods
    • Understanding Model Deployment and Management
    • Understanding Simulation and Optimization
  • Myths and Challenges
    • Applying Data Science

Goals

  • Understand the key elements of a data science projec
  • Idenitify the appropriate data science technique and/or algorithm to use for the major data science tasks.
  • Be aware of and be able to avoid the main data science challenges.
  • Identify key use cases.

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About the Instructor

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About the Instructor

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