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Data Science

Data Science

Overview
Data Science is using various tools and systems to analyze and interpret the data and its patterns. It includes Statistics, Data Science, Python, R, Apache Spark & Scala, Tensorflow, Machine Learning, Deep Learning and Tableau.
Curriculum
  • Python Statistics
    • Parameter Estimation
    • Regression
  • R Statistics
    • Hypothesis Testing
    • Regression
    • Clustering
    • Best Estimator
  • Data Science using R
    • Naïve Bias
    • Supervised Learning
    • Artificial Neural Network
  • Python for Data Science
    • Data Wrangling
    • Matplotib
    • Numpy
    • Pandas
  • Apache Spark & Scala
    • Scala
    • Spark Streaming
    • RDDs
    • MLlib
    • Spark SQL
  • AI & Deep Learning with Tensorflow
    • Gradient Descent
    • Tensorflow
    • Autoencoders
  • Tableau
    • Graphical Visualization
    • Clustering
    • Forecasting
Features
Real Life Case Studies

Real Life Case Studies

Projects modeled on select use cases with implementation of diverse technology concepts

Assignments

Assignments

All guided classes and courses are mandatorily followed by useful practical assignments

24x7 Expert Support

24x7 Expert Support

Every technical query is resolved on demand with readily available expert assistance

Instructor-led Sessions

Technical session conducted under the guidance of qualified and certified educationists

Course Info

Course Start Date 09/13/2019
Estimated Duration 3/4 Weeks
Maximum Students 30
Levels Advanced

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