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Data Science Certification Course for Beginners & Professionals

9999.00 INR 9999.00 INR

Data Science Certification Course for Beginners & Professionals

Online Data Science Training Program is your sure shot to success in a dynamic career. Get practical learnings from basic to advanced through Data Science courses with R & Python, Machine Learning, AI, and Deep Learning. JanBask Training Data Science Certification course enables you to master critical Data Science skills, increasing your job market value

Course Information

  • Instructor Led Live Classes
  • Real-life Industry Projects
  • Lifetime Access To Learning Resources
  • Industry-recognized Certification
  • 100% Job Placement Assistance
  • Comprehensive Curriculum

      • Course Content

    • Data Science With Python OR R Programming

      • What is Data Science
      • Understanding the Data
      • Importance of Data Science
      • How is data science different from BI and Reporting?
      • End to End Data Science Project Life Cycle
      • How does Predictive Analysis Work
      • Primer to R programming
      • What is R? Similarities to OOP and SQL
      • Installation of R and R-studio
      • Types of objects in R – lists, matrices, arrays, data.
      • frames etc.
      • Creating new variables or updating existing variables
      • If statements and conditional loops - For, while etc.
      • String manipulations
      • Subsetting data from matrices and data.frames
      • Casting and melting data to long and wide format
      • Hands-on Assignment, Real Scenarios, MCQs, Practice
      • Tests on IR

    • Python

      • What is Python?Importance of Python in Data Science
      • Python Installation Guidelines
      • Numerical parameters to represent data
      • NumPy for mathematical computing
      • Scientific computing with Python
      • Text, color map, markers, widths with Matplotlib.
      • Importing and exporting datasets in Python
      • Feature Engineering: Feature Selection and Extraction
      • Practice Tests on Python

    • Statistical Analysis

      • Statistical parameters to represent data
      • Apply function for parallel processing with Python
      • Statistical and Non-statistical Analysis
      • Population and Sample
      • Statistical Analysis Process,
      • Data Distribution
      • Hands-on Assignment, Real Scenarios, MCQs,
      • Practice Tests on , Statistics
      • Gradient Descent in Boosting Algorithms
      • Multiple linear regression
      • Linear regression vs Logistic regression
      • Understanding Naïve Bayes, Bayes theorem
      • Clustering - K-Means & Hierarchical
      • Hands-on Assignment, Real Scenarios, MCQs,
      • Practice Tests on Machine Learning

    • Machine Learning

      • Types of Machine Learning
      • What is Supervised, Unsupervised and Reinforcement
      • Decision trees and Random Forest
      • Advantages of tree-based models?
      • Algorithms used in Machine Learning techniques
      • Difference between Data Science, Machine Learning
      • and AI
      • Gradient Descent in Boosting Algorithms
      • Multiple linear regression
      • Linear regression vs Logistic regression
      • Understanding Naïve Bayes, Bayes theorem
      • Clustering - K-Means & Hierarchical
      • Hands-on Assignment, Real Scenarios, MCQs,
      • Practice Tests on Machine Learning

    • AI,Deep Learning, Natural Language Processing

      • Working with Neural Network
      • Functioning & Usage
      • Convolutional Networks
      • Recurrent Neural Networks
      • AutoEncoders
      • Long Short Term Memory
      • Deep learning with Keras
      • What is TensorFlow?
      • Deep learning with TensorFlow
      • Gradient Descent in Neural Networks
      • Defining and composing models, and deploying
      • TensorBoard.
      • Important Parameters of Perceptron
      • Recursive Neural Tensor Network theory
      • Hands-on Assignment, Real Scenarios, MCQs, Practice
      • Tests on Deep Learning & NLP

    Data Science Certificate That You Should Own

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