data science ppt

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• COURSE DETAILS
• Data science, also known as data-driven science,
  is an interdisciplinary field about scientific
  methods, processes and systems to extract
  knowledge or insights from data in various forms,
  either structured or unstructured, similar to
  Knowledge Discovery in Databases (KDD).

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• Data Scientist Course Content
• Module1 Descriptive Inferential Statistics
•  Turning Data into Information
•  Data Visualization
•  Measures of Central Tendency
•  Measures of Variability
• Measures of Shape
•  Covariance, Correlation
• Using Software-Real Time Problems
• 2. Probability Distributions
• Probability Distributions Discrete Random
  Variables
• Mean, Expected Value
•  Binomial Random Variable
• Poisson Random Variable
• Continuous Random Variable
•  Normal distribution
• Using Software-Real Time Problems

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• 3. Sampling Distributions
•  Central Limit Theorem
• Sampling Distributions for Sample Proportion,
  p-hat
• Sampling Distribution of the Sample Mean, x-bar
• Using Software-Real Time Problems
• 4. Confidence Intervals
• Statistical Inference
• Constructing confidence intervals to estimate a
  population Mean, Variance, Proportion
• Using Software-Real Time Problems
• Module2 Prediction Analytics
• Module3 Applied Multivariate Analysis
• Module4 Machine Learning
• Module5 R Programming
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