About The Course

Data science is all about handling the enormous amount of data and deriving meaningful insights for the given business. Practically every organization in today’s world has access to big data and looking at ways to help them grow their business. It is something that a data scientist can help them achieve. Data scientists apply a combination of their skills in mathematics, statistics, programming and other similar streams to structure large data sets. This has led to a huge surge in the demand for data scientists across the globe.

Eligibility

Graduates with Engineering, Math and Statistics background and passion for data analysis

Time Commitment

12 Weeks full time

Format

Virtual Instructor-Led Training

Language

English
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Course Content

Data Science Overview
  • Life Cycle
  • Machine Learning/Big Data
  • Tools
Statistics Basics
  • Centers
  • Spreads
  • Binary
  • Distribution
Data Extraction
  • Data Extraction methods
  • Raw Data/Processed Data
  • Visualization
Python/R Programming
  • Python – Introduction
  • Values/Types/Variables
  • Python Scripts/Conditional Statement
Machine Learning Algorithms and AI Applications
  • Introduction
  • Process Flow
  • Types of Regression
Data Science Application Lifecycle
  • Data Structure and Tools
  • Live Projects and Use Cases
Data Visualization
  • Introduction
  • Tableau Architecture
  • Tools
Forecasting Applications
  • Linear Regression
Classification Applications
  • KNN, Logistic Regression
  • Decision Trees
  • Random Forest
Segmentation Applications
  • K Means Clustering
Natural Language Processing
  • Text Classification Applications
  • Similarity Recommendation App
Chat Bot/ Voice Bot Applications
  • Develop a Live Chat Bot
Image Processing Applications – Overview

Why Study With Us?

Trainer Profile Sample

Work Experience
Core Technology Faculty
  • 12+ years of experience in Software Development and Corporate Training
  • Passionate Data Science Trainer having rich experience in Data Analytics/Data Science/Business Analytics/Machine Learning/Deep Learning
  • Excellence in implementing real time Data Cleaning/Data Reporting/Data Mining Algorithms
  • Extensive experience in designing and developing virtual courses, content, real life projects, as per the customer needs

Skills
  • Database : Oracle, MSSQL, MySQL, NoSQL
  • Programming : Java 11, C#, ASP.NET, ASP.NET MVC, JavaScript, TypeScript
  • Packages: Python / Anaconda Packages
  • Project Documentation: Tools: Power BI / Tableau
  • Languages: Python 3.6/ R

Education and Awards
  • Master/PhD in Computer Science
  • Certification in Data Science and Tools

FAQs

Why Data Science?

Data Science and Analytics is playing a major role in business decisions of any organisation, which helps you connect and segment the customers and improve the operational efficiency. There are no enough data science professionals to meet the market demand. Corporates are ready to offer high salary for Data scientists.

Who can join this program?

Those with Basic Mathematics, Analytical and Programming skills can join.

How is the market demand for Data Science experts?

Fastest growing roles are Data Scientists/Data Engineers with expected demand growth of 28%.

Will I get any placement support after completing the program?

Yes, you will get placement assistance from NLL Academy.

What is the average salary of a Data Scientist?

The average annual compensation of a data scientist ranges between $107,000 and 113,000 in the USA, depending on the project exposure.

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