6 Months Programme

This Internship Category for intermediate learners who would love explore and are open for more than one skill. Our resilient groundwork nurture young minds and equip them through pure practical methodologies and less theory sessions. In an advancement to that approach, we leverage latest technology, support your Hands-On needs and further, groom you for your betterment. In a short span of 6 months, the student gets option for choosing various skills that they wish to learn and practise in Real world.

Courses

1. Fundamentals of Data Warehousing

2. Data Extraction, Manipulation and Transformation

3. Data Modelling

4. Understanding Business Use cases

    Build Insightful Descriptive and Diagnostic Analysis

    Write Functions and Scripts Incorporate Narratives in Storytelling

5. Build Semantic Layers for Data Quality

6. Design and Style Web page using Bootstrap

7. Setup Web Tools and Manage Web Site

8. Build Responsive UI design using Angular

    Data Binding

    Angular Router Client- Server communication through HTTP Client

   Use of REST API on server side

After Programme, you will learn below Skills: ·

Expert in Business problem solving and Data Visualization and Front-Web Application

Job Roles that you may take up:

Business Analyst

Data Analyst

UI / UX Developer

Tools Utilized:   

QlikSense, Bootstrap and Angular JS

Ideal for Fresher who want to create Intuitive Dashboards and make analytic-drive business decisions and knows about HTML, CSS and Javascript.

1. Introduction to Data Science

2. Statistics and Exploratory

3. Data Analytics

4. Machine Learning

    Linear Regression

    Logistic Regression

    K-Nearest neighbour and Support Vector Machine

    Cluster Analysis

    Principal Component Analysis

    Naive Bayes

     Deep Learning

5. Introduction to Neural Network

    Convolutional Neural Network Recurrent

    Neural Network Object Classification

    Linear Model and Stochastic gradient descent Model

     Validation and Overfitting problem Multilayer perceptron (MLP)

     Matrix Derivative Natural Language Processing (NLP)

     Sequential Model Perplexity and Probabilities of Sequence Tagging

     Distributional Semantics Word and sentence embedding

6. NoSQL Database:

     Document data model

     Import data into a cluster work with CRUD

     API and Aggregation Framework

After Programme, you will learn below Skills:

· Step-by-Step Introduction to NoSQL Database

. Expert in Machine Learning

Job Roles that you may take up:

    Data Analyst

    Data Scientist

    NoSQL Developer

    Machine Learning Engineer

Tools Utilized

TensorFlow / Keras / PyTorch and NoSQL

Ideal for Fresher who want to pursue career in Image Recognition and Pattern Detection 

1. Data Wrangling

    Data Extraction

    Data Manipulation

    Data Transformation

     Data Management

2. Introduction to R programming

    R packages

    Data Mining

    Data Structures

    Debugging

4. Understanding Business Use cases

   Build Insightful Descriptive and Diagnostic Analysis

   Write Functions and Scripts Incorporate Narratives in Storytelling

5. Build R Models

   Linear regression and Multiple Linear Regression

   Non-linear regression

  Tree-based regression

  Decision-based regression

   Rule-based regression

6. Data Mining

   Market basket analysis and association rule mining

  Recommendation engine

  Descriptive Credit Risk Detention and Prediction

  Predictive Credit Risk Detention and Prediction

  Social Media Analysis

  Sentiment Analysis

  Cluster Analysis

  Principal Component Analysis

   Time Series and Casuality

7. Data Analytics using Business Intelligence

    Connect to Files and Databases

    Filters, Parameters and Calculations

    Charts and graphs

     Dashboard and Story-telling

     Integrate Business Intelligence with R

After Programme, you will learn below Skills: ·

·        Step-by-Step Introduction to Statistical programming and Machine Learning

·        Expert in Data Analytics

Job Roles that you may take up:

Business Analyst

Data Analyst

Tools Utilized:

QLIK/ POWER BI / TABLEAU, SPARK / R

Ideal for Fresher who wants to create Intuitive Dashboards and make analytic-drive business decisions and learn various machine learning algorithms and practical implications.

What will You learn

  • Master in 2 Technology Domain
  • Experience in Real Live Project
  • Get Mentored by Experts
  • 20+ Use Case Studies

What do you get

Real-life Use Case

Save time and money on configuration

Open Discussion Forum

Earn 6 Months Experience Certificate

Live Industry Project

3 Industry-Driven Courses

Enroll Now
  • Really loved the sessions.Was able to learn new things.Very supportive mentors.

    Diptojyoti Dutta - Student
  • A good training session happens here that can help a person to gather new experiences and knowledge about new technologies on a trending field. This session is quite encouraging to learn more on the field and achieve a growing platform for their near future.

    Rounak Mukherjee - Student
  • The training programme is Well conceptualized and well explained.It was very good, educative and informative.The training will no doubt aid and improve my skills. The overall training program is very good and enthusiastic.

     

          

    Arijit Chowdhury - Student
  • An excellant programme which helps me to gain a lot of knowledge on new technologies. I am too encouraged from this session to learn more and more on this field and achieve a platform for my near future. 

    Gopal Pal - Student
  • The environment is well enough to learn Business analysis. The study material and the guidance was well enough from the company. I request you to give us an opportunity to work in live project. 

    Anirban Roychowdhuri - Student
  • LiveDataScience provided me a better environment for learning Microsoft Power BI course.The course was good and knowledgeable. The provided study materials was sufficient for learning the course and got proper support and  guidance from the company. 

    Sushanta Das - Student