Why Learn Data Science?

Curriculum

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

data science foundations

• Introduction to Data Science

    Introduction to Data Science
    Python for Data Science
    Introduction to Python
    Dealing with Data using Python
    Dealing with Data using Python
    Visualization using Python
  

• Exploratory Data Analysis

    Numpy
    Pandas
    Matplotlib
    Seaborn
  

• Data Base

    MongoDB
    MySql
  

• Statistical Methods for Decision Making

Machine Learning Techniques

• Classification
• Regression
• Clustering
• Model selection
• Preprocessing

Applications

• Time Series

    ARIMA models

• Text Mining

    CART
    KNN (classifier, distance metrics, KNN regression)
    Decision Trees (hyper parameter, depth, number of leaves)
    Naive Bayes
  

• Data Visualization

    Building interactive dashboards using Tableau
    Data Visualization using Tableau