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Introduction

The vast volume of data generated every minute necessitates the extraction of valuable insights for businesses in today's world. This is where the field of data science becomes essential.

Data science encompasses an interdisciplinary approach involving scientific methods, algorithms, and systems to derive knowledge or insights from data, whether structured or unstructured, akin to data mining.

We offers premier Data Science Training under the guidance of seasoned data science experts and professionals. Our training curriculum is meticulously crafted to align with the current standards of the IT sector. The Data Scientist Course at equips you with the skills required for a data scientist role, providing expertise in popular machine learning algorithms such as Decision Trees, K-mean Clustering, Gradient Boosting, Boosted Trees, Random Forest, and Naïve Bayes, all taught using the Python programming language.

Duration 03-06 Months

Introduction

  • Data Science & Big Data Overview.
  • Practice of Analytics.
  • Data Analytics Life Cycle.
  • Introduction to R & Python.
  • Analyzing & Exploring Data.

Techniques

  • Statistics for Model Building.
  • Evaluation of Models.
  • Clustering.
  • Association Rules.
  • Regression.

Algorithm

  • Linear & Logistic Regression.
  • Naive Bayesian Classifiers.
  • Decision Trees.
  • Random Forest.
  • K-Means & SVM.

Project

  • Market Basket Analysis.
  • Text Mining.
  • Data Visualization Overview.
  • Practice Project-1
  • Practice Project-2

Our Placement

We are the stockist of 100+ companies he working with total 115 brands. We have more than 15000 SKUs and also deal with few big brands such as Abbott, Cipla, Lupin, Glenmark, Novertis etc.