Data Science 

is a cross-disciplinary blend of tools and technologies that work conjointly to understand business, clients, and patterns and resolve inquisitions that we have yet not perceived from the data stored in data warehouses and all possible web applications. This program is the perfect blend of Statistics, Programming, Machine learning, Deep Learning, Artificial Intelligence, Data Visualization, and big data designed to give you a holistic view of Data Science.

Program Overview

The most comprehensive curriculum with training material designed by NASSCOM, along with its 35 SIG(Special Interest Group) members such as Goldman Sachs, IBM, Ins Analytics, Infosys BPO, Insights of Data, JP Morgan, Karvy Analytics, Knod Global, KPMG, Wipro, WNS, Wells Fargo, Amazon, Capgemini, Concentrix, CITI, Cyient Insights, Accenture, EXL, First America, Fractal Analytics, GENPACT, Google, ADP Deloitte, HCL, HDFC, IBM, ISC2, NIIT University, PwC, Symantec, TCS to name a few, that will prepare you for future externalities in the data analytics industry and fulfill the gap of academics and industry requirements.

This official NASSCOM-CERTIFIED Data Science Program covers R, Python training, and Data Wrangling. Interaction with Big Data Hadoop, MapReduce, Sqoop, Flume, Hive, Pig, HBase, Spark, and R with Statistics, Data Mining, Machine Learning Algorithms, Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Time-Series forecasting, SQL, Tableau and SAS.

Program Structure

70-Hour Pre-Learning: Before you come in, get ready for the Program. You will get a series of online recorded tutorials to understand the nitty-gritty of Data Science, Artificial Intelligence, Visualization tools, and data structure.

360 Hours Program: Here, you will get Hands-on Experience in advanced Excel, SQL, R Programming, Python Programming, Statistics, Machine Learning, Artificial Intelligence, Big Data, Tableau, Power BI, MongoDB, YOLOv5, Natural Language Processing, Reinforcement Learning.

560 hours Post Program: Learning does not stop here. After completing the Program, you will work on Projects, Tests, and Assignments. Doubt-clearing sessions will also be provided. You will be working on capstone projects from a long list of projects.

Eligibility

Work Exp. – Working professionals in IT / Analytics / Statistics / Big Data / Machine Learning.

Education –Bachelor’s Degree in Engineering / Technology / Statistics / Mathematics / Computer Science.

Certificates