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Best Data Science Training Classes

Why Best Data Science Training Classes in Bhubaneswar at Lakshya

A class in Data Science is where we teach objects how to behave. Education at Lakshya means way to success. The way of teaching by corporate trainers will bloom your career. We have the best Data Science training classes in Bhubaneswar. 100% Placement Support. Job Support Post Training. This course will give you a firm foundation in Data Science, commonly used programming language.

why Lakshya is the No.1 institute

  1. Learn from Corporate Trainer
  2. Logic Development Class Every Sunday Free
  3. How to create your resume
  4. How to maintain your linkedIn / Indeed / naukri
  5. Update your GIT Repo - By Er. Nagarjun
  6. Providing Course wise Assessment only at Lakshya
  7. How to represent yourself in interview - By Er. Swati Srinivas
  8. Doubt Clear classes anytime everyday
  9. 100% job assurance
  10. Experienced Career Consultant - Er. Prabin K Rout / Er. Sritam / Er. Bishnu
  11. Corporate Syllabus
  12. Incomparable Syllabus
  13. Learn from MICROSOFT Certified Professional
  14. Learn secret step for Campus requirement
  15. Real Industrial Application of using MVC
  16. Fully Practical and Interactive Session
  17. Grooming for Project Demonstration in Campus Interview
  18. Weekly Workshop on Respective module for Skill Development
  19. Special Guidance for LIVE Project
  20. Weekly Online Test for Skill Assessment
  21. An Earning and Learning Opportunity to all.
  22. SEO Tips, Study Materials
  23. Industrial Training from the Leader
  24. Interview based Q & A discussion
  25. Free Career consultation

Trainer Profile

...
Jitu Sahoo(corporate trainer)
full stack devloper
Know More

Er. Jitu Sahoo

CEO at Lakshya services private limited

M.TECH in Computer Science & Engineering

Freelancing as Corporate Trainer of Infosys , TCS , NIFT , Aspire, HiTech , NIFD, CEB , ITER, Silicon GIET , GITA , CUTM , Sophitorium
Contact / WhatsApp: +91 90905 19502
Training Email: lakshyainstitutetraining@gmail.com

Python

  • INTRODUCTION
  • OPERATORS
  • DATA TYPES
  • LIST CLASS
  • TUPLE CLASS
  • SET CLASS
  • DICT CLASS
  • STR CLASS
  • MEMORY MANAGEMENT
  • CONTROL STRUCTURE & CONTROL STATEMENT
  • FUNCTION
  • MODULE & PACKAGE
  • FILE HANDLING
  • COMMAND LINE ARGUMENT
  • EXCEPTION HANDLING
  • CLASS & OBJECT
  • DATA MEMBER
  • MEMBER FUNCTION / METHOD
  • CONSTRUCTOR, DESTRUCTOR & GARBAGE COLLECTOR
  • OPERATOR OVERLOADING
  • TYPE CONVERSION
  • RELATION
  • INHERITANCE
  • POLYMORPHISM
  • ABSTRACT METHOD & ABSTRACT CLASS
  • THREADS & MULTI-THREADING
  • DATABASE HANDLING
  • GRAPHICAL USER INTERFACE

    • Data Science

  • NUMPY
  • FuzzyWuzzy
  • Pandas
  • Matplotlib
  • Seaborn
  • Nlp
  • Nltk
  • Exploratory Data Analysis
  • Predictive analytic and Segmentation
  • Statistics and probability
  • Linear Algebra
  • Discrete and continuous data
  • Liner regression analysis
  • Logistic regression analysis
  • Feature selection with sklearn
  • Imputation
  • Optimization
  • Data wrangling
  • Data exploration
  • Machine learning algorithm
  • Neural networks
  • Supervised learning
  • Unsupervised learning
  • Data modeling
  • Data model selection and evaluation
  • Stemming
  • . Lemmatization
  • Feature engineering
  • Apriori algorithm
  • Fp Growth
  • K means clustering
  • Db scan
  • Baise Theorm
  • Navi bias classification
  • Random Forest
  • Decision Tree
  • Polynomial Regression
  • Scalar vector machine
  • Image processing
  • Open cv to ratio
  • Bacterial foraging optimization
  • Genetic Algorithm