Data Science

data science classes in bangalore

Data Science

An intensive 8 weeks training program in Bangalore developed and taught by leading practitioners of Data Science Industry. We equip you with tools, techniques, concepts and practical learning needed to become a Data Scientist. We have built the course in basic and advanced parts, wherein the fundamentals would cover how to turn raw data into actionable knowledge and advanced sessions would guide the candidates on predictive and analytical techniques to present the data like regression, clustering, association, classification, and hypothesis testing.

Duration : 10 weeks

Fees : 23,000/-

Course Overview

We have built the course in basic and advanced parts, wherein the fundamentals would cover how to turn raw data
into actionable knowledge and advanced sessions would guide the candidates on predictive and analytical techniques to present the data like regression, clustering, association, classification, and hypothesis testing.

Key Takeaways from this course:

In class Assignments

Practical training on tool

Case Studies

Master Classes

Alumni Support

Course Modules:

Introduction

    • Role of IT Applications In Business

This course will give a clear idea for a novice about how industry is making use of IT applications in order to ease, optimize, and implement different functions of the business. This will give a clear understanding about the structures and complexity of data sources a data scientist supposed to deal with.

    • Business Data

Today’s Industry is fast boiling with dynamically changing dimensions. In order to cope with the changes, make it in favor of the business, data driven decisions are vital. The data sources of all industry plays a critical role in data science and Data Engineers are working hard to meet the standards.

  • Course Plan

Data Analytics – Structured Data

This module teaches the candidate how to interact with the back end database of a business system to access the relevant data and map to the business use-case and formulate various data processing techniques to solve the problem statements. Includes

  • Traditional business systems
  • Software development life cycle
  • RDBMS, Data Bases and Servers
  • SQL Programming
  • Advanced Excel and VBA Training

Data Analytics – Unstructured Data

This part of the Analytics Training helps to understand how data engineering works on big data and big data analytics. The best in class software suits used for Big Data or Unstructured data engineering is been used. Includes

  • Data Storages
  • Mongo DB
  • Mongo DB Advanced
  • Python for beginners
  • Python Advanced
  • Text mining

Statistical Analysis

Statistics plays very important role in Data Science as the data can always be huge or large in size and organizations need to answer business queries, derive the hidden insights from the massive data for the key decision support. Includes

  • R Programming
  • Exploratory Data Analytics
  • Probability, Hypothesis and Tests
  • Inferential Statistics
    • ANOVA
    • Regression
    • Logistic Regression

Data Mining Techniques

Data Mining is the best paid job in data science and candidates are introduced to the advanced techniques in data mining. Includes

  • Predictive Modeling
  • Decision Trees
  • Association Learning
  • Clustering
  • Regression Analysis

Business Reports

Presenting the business insights derived from the business data in the best suit form of communication using: info graphics, list reports, summary reports, Graphs, charts or an advanced dynamic dash board is the final word of convincing the customer of any Analytics unit. Includes

  • Business Dash Boards
  • Ad-Hoc designs of reports
  • Tableau Training
  • SAS Training
  • Excel Training

Case Studies

Candidate undergoes Case Study on live industry scenarios will make the best outcome from the program. This part of the program is an independent study conducted by the candidate using the techniques and skills they acumen form the course. Best pick general topics are like

  • Churn Analysis
  • Credit Scoring
  • Attrition prediction
  • Campaign Optimization
  • Fraud Detection