Data Science & AI Training in Chennai

• We train students for interviews and Offer Placements in corporate companies.
• Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
• You will not only gain knowledge of Data Science & AI and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
• Experienced Trainers and Lab Facility.
• DATA SCIENCE & AI Certified Analytics Professional Guidance Support with Exam Dumps.
• For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
• Resume & Interviews Preparation Support.
• Concepts: Understanding the Data, Probability and its Uses, Statistical Inference, Data Clustering, Testing the Data, Regression Modelling, Data Science, Machine Learning, Deep Learning, AI, Data Analytics & it’s types, Python Basic Data types, Correlation / AssociationRegressionCategorical variables, Tableau Charts, Reports and Server.
• START YOUR CAREER WITH DATA SCIENCE & AI COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!

• Classroom Batch Training
• One To One Training
• Online Training
• Customized Training
• Enroll Now Free Demo Class

• 40 Hours Course Duration
• 100% Job Oriented Training
• Industry Expert Faculties
• Free Demo Class Available
• Completed 500+ Batches
• Certification Guidance

Syllabus of Data Science & AI Course in Chennai

Module 1: Introduction to Data Science & AI

• Features of Data Science & AI
• Simple
• Secure
• Portable
• Robust
• Multithreading
• Platform-Independent
• Distributed.
• Dynamic
• New Features of Data Science & AI 8
• Introducing Data Science & AI Environment
• Data Science & AI Development Kit
• Data Science & AI Platforms
• Data Science & AI Virtual Machine
• Data Science & AI API
• Data Science & AI Programs
• Installing Data Science & AI
• What about CLASSPATH?
• Data Science & AI’s Reserve Words
• Starting a Data Science & AI program
• Line 1—public class App
• Line 2—public static void main(String[] args)
• Line 3—System.out.println(“Hello from Data Science & AI!”);
• Compiling Code 15
• Compiling Code: Using Command-Line Options
• Cross-Compilation Options
• Compiling Code: Checking for Deprecated Methods
• Running Code
• Running Code: Using Command-Line Options
• Commenting Your Code
• Importing Data Science & AI Packages and Classes
• Finding Data Science & AI Class with CLASSPATH
• Summary

• Variables
• Data Typing
• Arrays
• Strings
• What Data Types are Available?
• Creating Integer Literals
• Creating Floating-Point Literals
• Creating Boolean Literals
• Creating Character Literals
• Creating String Literals
• Creating Binary Literals
• Using Underscores in Numeric Literals
• Declaring Integer Variables
• Declaring Floating-Point Variables
• Declaring Character Variables
• Declaring Boolean Variables
• Initializing Variables Dynamically
• Conversion between Data Types
• Automatic Conversions
• Casting to New Data Types
• Declaring One-Dimensional
• Creating One-Dimensional Arrays
• Initializing One-Dimensional Arrays
• Declaring Multi-Dimensional Arrays
• Creating Multi-Dimensional Arrays
• Initializing Multi-Dimensional Arrays
• Creating Irregular Multi-Dimensional Arrays
• Getting an the Length of an Array
• Understanding General Form of Static Import
• Importing Static Members
• The String Class
• Getting String Length
• Concatenating Strings
• Getting Characters and Substrings
• Searching For and Replacing Strings
• Changing Case in Strings
• Checking for Empty String
• Formatting Numbers in Strings
• The StringBuffer Class
• Creating StringBuffers
• Getting and Setting StringBuffer Lengths and Capacities
• Setting Characters in String Buffers
• Appending and Inserting Using StringBuffers
• Deleting Text in StringBuffers
• Replacing Text in String Buffer
• Using the Wrapper Class
• Autoboxing and Unboxing of Primitive Types
• Learning the Fundamentals of Varargs Methods
• Overloading Varargs Methods
• Learning the Ambiguity in Varargs Methods
• Using Non-Reifiable Formal Parameters

• Variables
• Data Typing
• Arrays
• Strings
• What Data Types are Available?
• Creating Integer Literals
• Creating Floating-Point Literals
• Creating Boolean Literals
• Creating Character Literals
• Creating String Literals
• Creating Binary Literals
• Using Underscores in Numeric Literals
• Declaring Integer Variables
• Declaring Floating-Point Variables
• Declaring Character Variables
• Declaring Boolean Variables
• Initializing Variables Dynamically
• Conversion between Data Types
• Automatic Conversions
• Casting to New Data Types
• Declaring One-Dimensional
• Creating One-Dimensional Arrays
• Initializing One-Dimensional Arrays
• Declaring Multi-Dimensional Arrays
• Creating Multi-Dimensional Arrays
• Initializing Multi-Dimensional Arrays
• Creating Irregular Multi-Dimensional Arrays
• Getting an the Length of an Array
• Understanding General Form of Static Import
• Importing Static Members
• The String Class
• Getting String Length
• Concatenating Strings
• Getting Characters and Substrings
• Searching For and Replacing Strings
• Changing Case in Strings
• Checking for Empty String
• Formatting Numbers in Strings
• The StringBuffer Class
• Creating StringBuffers
• Getting and Setting StringBuffer Lengths and Capacities
• Setting Characters in String Buffers
• Appending and Inserting Using StringBuffers
• Deleting Text in StringBuffers
• Replacing Text in String Buffer
• Using the Wrapper Class
• Autoboxing and Unboxing of Primitive Types
• Learning the Fundamentals of Varargs Methods
• Overloading Varargs Methods
• Learning the Ambiguity in Varargs Methods
• Using Non-Reifiable Formal Parameters

• We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
• We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
• After completion of 70% Data Science & AI training course content, we will arrange the interview calls to students & prepare them to F2F interaction
• Data Science & AI Trainers assist students in developing their resume matching the current industry needs
• We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
• We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

• Our Data Science & AI Training in Chennai. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
• As all Trainers are Data Science & AI domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
• All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
• Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
• Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Science & AI training to the students.
• We have received various prestigious awards for Data Science & AI Training in Chennai from recognized IT organizations.