Data Science

Statistics | Python | Visualization | Forecasting | Segmentation | Natural Language Processing | Image Processing

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

  • Life Cycle
  • Machine Learning/Big Data
  • Tools
  • Centers
  • Spreads
  • Binary
  • Distribution
  • Data Extraction methods
  • Raw Data/Processed Data
  • Visualization
  • Python – Introduction
  • Values/Types/Variables
  • Python Scripts/Conditional Statement
  • Introduction
  • Process Flow
  • Types of Regression
  • Data Structure and Tools
  • Live Projects and Use Cases
  • Introduction
  • Tableau Architecture
  • Tools
  • Linear Regression
  • KNN, Logistic Regression
  • Decision Trees
  • Random Forest
  • K Means Clustering
  • Text Classification Applications
  • Similarity Recommendation App
  • Develop a Live Chat Bot

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

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.
Those with Basic Mathematics, Analytical and Programming skills can join.
Fastest growing roles are Data Scientists/Data Engineers with expected demand growth of 28%.
Yes, you will get placement assistance from NLL Academy.
The average annual compensation of a data scientist ranges between $107,000 and 113,000 in the USA, depending on the project exposure.

Contact us now for detailed curriculum and more!

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