Data Science Professional

Data Science involves using automated methods to analyze massive amounts of data and to extract knowledge from them. With such automated methods turning up everywhere from genomics to high-energy physics, data science is helping to create new branches of science, and influencing areas of social science and the humanities.

KEY FEATURES
  • 16 hrs of classroom / instructor-led training
  • Accredited Instructor with industry experience
  • Authorized Coureware
  • Case Studies & real-world examples
  • End of chapter quizzes and simulation exams
  • Certification exam included
Category:

Description

WHOM IS IT APPLICABLE
  • Anybody with an interest in Data Science
  • Anybody who wants to improve their data mining skills
  • Anybody who wants to improve their statistical modelling skills
  • Anybody who wants to improve their data preparation skills
  • Anybody who wants to improve their Data Science presentation skills
  • Those who want to become master in data science and data analytics in R programming
  • Business analysts who want to learn machine learning
  • Data analysts who want to improve their skills
  • Developers aspiring to become data scientist
  • Fresher’s/Experienced Professional, Managers, IT Professional
WHAT YOU WILL LEARN
  • Data Science course will help in attaining extensive knowledge in statistical and solving analytical applications
  • Data science course will help in enhancing your business intelligence
  • This consists of learning modules specific towards the big data
  • Advanced training methodologies
  • Best learning experience through the visual-based training program.
  • Practical sessions with the best infrastructure lab faculty.
  • Well experienced faculty having in-depth subject knowledge.
MODULE OVERVIEW

Module 1: Explore the data science process- An Introduction
Module 2: Probability and statistics in data science
Module 3: Working with data- Ingestion and preparation
Module 4: Data Exploration and Visualization
Module 5: Introduction to Supervised Machine Learning
Module 6: Data Mining/ Machine Learning
Module 7: Statistical Analysis
Module 8: Text Mining & NLP
Module 9: Data Visualization using Tableau
Module 10: Forecasting/ Time Series

PREREQUISITES
  • There are no formal prerequisites required for this certification
EXAM & CERTIFICATION

Format: Closed-book
Delivery: Online and Paper-based
Questions: 50 multiple choice questions
Passing Score: 60% (30 out of 50)
Duration: 60 Minutes

CLASSROOM / INSTRUCTOR LED
  • High-impact learning with case studies
  • Delivered by certified instructors
  • Targeted learning for real projects

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