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Become job-ready by mastering the advanced concepts of Oracle Fusion Financials. Our  Oracle Fusion Financials training course covers all the concepts from basics to advanced levels including ledger, account payables & receivables, assets, identity manager, and more through real-time use cases. You will also get an exposure to industry based real-time projects which are in line with the Oracle Fusion Financials certification exam.

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KEY FEATURES

32 Classroom Sessions

30 Hrs Instructor Led Training

14 Case Studies

30 Hrs Instructor Led Training

30 Hrs Instructor Led Training

30 Hrs Instructor Led Training

30 Hrs Instructor Led Training

30 Hrs Instructor Led Training

CHOOSE THE TRAINING THAT’S BEST FOR YOU

SELF-PACED E-LEARNING

  • Learn at your convenient time and pace
  • Gain on-the-job kind of learning experience through high quality Oracle Fusion Financials videos built by industry experts.
  • Learn end to end course content that is similar to instructor led virtual/classroom training.
  • Explore sample Oracle Fusion Financials training videos before signing up.
₹ 15000

LIVE ONLINE TRAINING

  • Live demonstration of features and practicals.
  • Gain on-the-job kind of learning experience through high quality Oracle Fusion Financials videos built by industry experts.
  • Learn end to end course content that is similar to instructor led virtual/classroom training.
  • Explore sample Oracle Fusion Financials training videos before signing up.
₹ 30000

CORPORATE TRAINING

  • Learn at your convenient time and pace
  • Gain on-the-job kind of learning experience through high quality Oracle Fusion Financials videos built by industry experts.
  • Learn end to end course content that is similar to instructor led virtual/classroom training.
  • Explore sample Oracle Fusion Financials training videos before signing up.

Course Curriculum

    • MLPy Live Module 1: Python Programming for Machine Learning 7 days
      • Introduction to Machine Learning and Data Science
      • Python Programming Basics
      • Data Handling in Python
      • Basic Statistics
      • Mean, Median, Variance
      • Percentiles
      • Data Exploration, Validation and Cleaning
    • MLPy Live Module 2 : Supervised Machine Learning 2 weeks
      • Regression Analysis and Simple Regression
      • Multiple Regression and Multi-collinearity
      • Logistic Regression Model Building
      • Decision Trees
      • Information gain
      • Over-fitting
      • Pruning
      • Model Validation and Selection
      • Bias Variance Trade-off
      • Feature Engineering
    • MLPy Live Module 3 : Unsupervised Learning, Ensemble Learning and Boosting 2 weeks
      • Unsupervised learning
        • Cluster Analysis
      • Ensemble Learning
        • Bagging
      • Random Forests
        • Hyperparameters in Random Forests
      • Gradient Boosting
        • Hyperparameters in Gradient Boosting
    • MLPy Live Module 4 : Artificial Neural Networks and Deep Learning 7 days
      • Artificial Neural networks
      • Concept of the decision boundary
      • The non-linear decision boundary
      • Gradient Descent and Backpropagation Algorithm
      • Deep Learning Introduction
        • CNN and RNN
    • MLPy Live Module 5 : Natural Language Processing 7 days
      • Text mining Basics
      • Preparing text for Analysis
      • Naive Bayes Model and Sentiment Analysis
      • Word2Vec Algorithm
    • MLPy Live Module 6 : Final Project and Assessment 2 weeks
      • Additional Projects
      • Assessments
      • Documentation of the projects
      • Profile building
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Statinfer

Statinfer derived from Statistical inference is a company that focuses on the data science training and R&D.We offer training on Machine Learning, Deep Learning and Artificial Intelligence using tools like R, Python and TensorFlow

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