Data science

This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results.


Why Learn Data Science?


#1 Job

Best job in America for 2019 - Glassdoor.

100+ Professionals

We create more than 100 Data Scientist Professionals

96 %

Success Ratio for Students Placed .

5 Month

Our Course Duration for Study & Practice

Curriculum

We are deeply involved in curriculum design ensuring that it meets the current industry requirements for data science professionals.




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    Machine Learning Techniques

  • Classification

      SVM
      Nearest Neighbors
      Random Forest

  • Regression

      SVR
      Nearest Neighbors
      Random Forest

  • Clustering

      K-Means
      Spectral Clustering
      Mean-Shift

  • Model selection

      Grid Search
      Cross Validation
      Metrics

  • Preprocessing

      Preprocessing,
      Feature extraction

  • Statistical Methods for Decision Making

      Auto regression
      Autocorrelationfunction
      Correlation
      Partial Autocorrelation
      Covariance
      Bagging
      Biasvariance
      Binomial Distribution
      Markov Chain
      Sparse Matrix
      Cross Entropy
      SMOTE Handling Imbalanced DataSets


Practice active listening and follow through

Qualify your leads & recognize the value of word your customer will love you

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