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Courses Details

Data Science

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).

Data Scientist Course Content

Module:1 – 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

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

Module:2 – Prediction Analytics

Module:3 – Applied Multivariate Analysis

Module:4 – Machine Learning

Module:5 – R Programming

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Study Options
Batch Type Duration mode OF Training track
week days 30 hrs Class room/Online Fast Track/Normal
week ends 30 hrs Class room/Online Fast Track/Normal

Course Features

Instructor-led Sessions.

Real Time Case Studies


24 x 7 Expert Support

Entry Requirment


Experienced working professionals , Project managers.

Programming Developers and System Administrators.

Graduates, undergraduates eager to learn the latest Big Data technology can take this Big Data Hadoop Certification online training

business intelligence

data analytics professionals

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