Best Data Science Training In Bangalore

Data Science Training

Data Science Training Overview

Data science Training by Expert. Data science it is a software here distributing and processing the large set of data into the cluster of computers. This Course is designed to Master yourself in the Data Science Techniques and Upgrade your skill set to the next level to sustain your career in ever changing the software Industry.This Course covers from the basics of Data Science to Big Data hadoop,python, Apache Spark etc

ntroduction to Data Science
• Need for Data Scientists
• Foundation of Data Science
• What is Business Intelligence
• What is Data Analysis, Data Mining, and Machine Learning
• Analytics vs Data Science
• Value Chain
• Types of Analytics
• Lifecycle Probability
• Analytics Project Lifecyclev Data
• Basis of Data Categorization
• Types of Data
• Data Collection Types
• Forms of Data and Sources
• Data Quality, Changes and Data Quality Issues, Quality Story
• What is Data Architecture
• Components of Data Architecture
• How is Data Stored?

Big Data
• What is Big Data?
• 5 Vs of Big Data
• Big Data Architecture, Technologies, Challenge and Big Data Requirements
• Big Data Distributed Computing and Complexity
• Hadoop
• Map Reduce Framework
• Hadoop Ecosystem

Data Science Deep Dive
• What is Data Science?
• Why are Data Scientists in demand?
• What is a Data Product
• The growing need for Data Science
• Large-Scale Analysis Cost vs Storage
• Data Science Skills
• Data Science Use Cases and Data Science Project Life Cycle & Stages
• Map-Reduce Framework
• Hadoop Ecosystem
• Data Acquisition
• Where to source data
• Techniques
• Evaluating input data
• Data formats, Quantity and Data Quality
• Resolution Techniques
• Data Transformation
• File Format Conversions
• Anonymization

Intro to R Programming • Introduction to R
• Business Analytics
• Analytics concepts
• The importance of R in analytics
• R Language community and eco-system
• Usage of R in industry
• Installing R and other packages
• Perform basic R operations using command line
• Usage of IDE R Studio and various GUI

R Programming Concepts
• The datatypes in R and its uses
• Built-in functions in R
• Subsetting methods
• Summarize data using functions
• Use of functions like head(), tail(), for inspecting data
• Use-cases for problem solving using R

Data Manipulation in R
• Various phases of Data Cleaning
• Functions used in Inspection
• Data Cleaning Techniques
• Uses of functions involved
• Use-cases for Data Cleaning using R

Data Import Techniques in R
• Import data from spreadsheets and text files into R
• Importing data from statistical formats
• Packages installation for database import
• Connecting to RDBMS from R using ODBC and basic SQL queries in R
• Web Scraping
• Other concepts on Data Import Techniques

Exploratory Data Analysis (EDA) using R
• What is EDA?
• Why do we need EDA?
• Goals of EDA
• Types of EDA
• Implementing of EDA
• Boxplots, cor() in R
• EDA functions
• Multiple packages in R for data analysis
• Some fancy plots
• Use-cases for EDA using R

Data Visualization in R
• Storytelling with Data
• Principle tenets
• Elements of Data Visualization
• Infographics vs Data Visualization
• Data Visualization & Graphical functions in R
• Plotting Graphs
• Customizing Graphical Parameters to improvise the plots
• Various GUIs
• Spatial Analysis
• Other Visualization concepts

Big Data and Hadoop Introduction
• What is Big Data and Hadoop?
• Challenges of Big Data
• Traditional approach Vs Hadoop
• Hadoop Architecture
• Distributed Model
• Block structure File System
• Technologies supporting Big Data
• Replication
• Fault Tolerance
• Why Hadoop?
• Hadoop Eco-System
• Use cases of Hadoop
• Fundamental Design Principles of Hadoop
• Comparison of Hadoop Vs RDBMS

Why Systems Domain
  • Our trainers are specially trained to evaluate the strengths and weaknesses of a student and training them accordingly.
  • High number of placement offers from reputed companies.
  • Special weekend batches to ensure that no one is left behind
  • Our program aims to ensure your all round development by organizing seminars and group discussions on personality development, interview tips and presentations
System Domain