Courses We Offered

Data Science

In this course you will get an introduction to the main tools and ideas which are required for Data Scientist/Business Analyst/Data Analyst.

The course gives an overview of the data, questions, and tools that data analysts and data scientists work with.

There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge.

The second is a practical introduction to the tools that will be used in the program like R Programming, SAS, MINITAB and EXCEL.

    1. Measures of Central Tendency, Dispersion and Association
  • Measures of Central Tendency/ Measures of Dispersion
  • Using Software-Real Time Problems
2. Multivariate Normal Distribution
  • Exponent of Multivariate Normal Distribution
  • Multivariate Normality and Outliers
  • Eigenvalues and Eigenvectors
  • Spectral Value Decomposition
  • Single Value Decomposition
  • Using Software-Real Time Problems
3. Sample Mean Vector and Sample Correlation
  • Distribution of Sample Mean Vector
  • Interval Estimate of Population Mean
  • Inferences for Correlations
  • Using Software-Real Time Problems
4. Principal Components Analysis (PCA)
  • Principal Component Analysis (PCA) Procedure
  • Using Software-Real Time Problems
5. Factor Analysis
  • Principal Component Method
  • Communalities
  • Factor Rotations
  • Varimax Rotation
  • Using Software-Real Time Problem
6. Discriminant Analysis
  • Discriminant Analysis (Linear/Quadratic)
  • Estimating Misclassification Probabilities
  • Using Software-Real Time Problems
  • Test Statistics for MANOVA
  • Hypothesis Tests
  • MANOVA table
  • Using Software-Real Time Problems

We Offered

  • Workshops
  • Live Projects
  • Digital Marketing
  • Online Training
  • Application Development
  • Website Development
  • Placement Assistance
  • Off-Campus Seminars

Recent News

  • Demo on every Saturday @ 10am

Get in Touch

Goodrich IT Solutions,
2nd Floor, Maruthi Complex,
Opp. R.S. Brothers, KPHB,
Hyderabad - 500 072

Mobile No. :+91 9885811057
Land Line: +91 4065889933