Data Science Master Course

3000 + Students Enrolled & Completed

Easiest Way to Become Expert in Data Science

Self Paced Learning

300+ Hrs of self-paced sessions created by industry experts.

Lifetime Access

Lifetime access and 24/7 Support.

Exercises and Project Work

100 Hrs of Hands on Exercise.

Free Upgrade

Free Upgrade of New Sessions and Projects Every Month For Continuos Learning.

The Science of converting “data” into “insight” has come to be popularly known as DATA SCIENCE. Data is being generated all around from shopping malls to shopping apps, from telephone calls to credit card transactions, and from almost anything that we do in this digital age. Raw data is of limited use but interpreting and using insights from this data can do wonders for the growth of businesses. No wonder Data Science has become the hottest skill as every company wants to use it!Data Science involves the use of tools/technologies for managing large amounts of data, statistical techniques to analyse and interpret this data and understanding of domains such as finance, marketing, and pharma which provides the context for such analysis.The main reasons why Data Science has become the latest buzzword are-

(1) Abundance of data

(2) Matured tools and technology

(3) Adaptability for implementation across domains such as healthcare, medical, telecom or logistics.

Data Science is a multidisciplinary field that utilizes scientific approaches, procedures, algorithms, and framework to extract knowledge and insight from data in different forms, both structured and unstructured data, same as data mining. Data science is an idea to bring together insights, data investigation, machine learning, and their related strategies to comprehend and dissect genuine phenomena with data. It utilizes methods and speculations drawn from numerous fields inside the setting of arithmetic, measurements, data science, and software engineering. Master program in Data Science training will provide you with comprehensive knowledge of data science, statistic and probability, Machine Learning, Deep Learning and also Big Data. The master program is specially created by the professionals and includes various courses with capstone and industry-based projects.

Syllabus

Business Analytics
  • Basics of Statistics
  • Advance Statistics
  • Data Analytics
  • Exploratory Data Analysis
  • Regression Analysis
  • Time Series
  • Clustering
  • Classification
  • Python & R
  • Tableau & SQL
  • Apache, Pig ,Hive
  • Splunk
  • Hands on Project.
Advanced Machine Learning & AI
  • Boosting, Regularisation
  • Text mining, SVM
  • PCA, Recommender system
  • Neural Nets & Deep Learning-CNN & RNN, MLP
  • Intro to Tensor flow
  • Tensor flow application
  • Hands on Project
Data Tools & Projects
  • Hadoop Introduction (SQL- No SQL)
  • ML with Azure
  • Advance projects on Tableau
  • End to end project on machine learning
  • Business communication
  • Hands on Projects.

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