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About Us
About Course:
  • Duration/Mode: 32hrs Classroom Training + 24hrs Live Online Training + 50hrs E-Learning Access
  • Trainer: Seasoned industry experts with 10+years experience 
  • Membership: Get 1-Year Membership of Henry Harvin Anaytics Academy and avail the following benefits: 
    • E-Learning Access: Get Recorded Videos, Games, Projects, Case Studies 
    • Brushup Sessions: Free Brushup Sessions for 1-Year 
    • Job Support: Get access to 10+ Job Opportunities every week
  • Alumni Status: Get a Henry Harvin Alumni status & network with 18000+distinguished alumni worldwide 

Learning Benefits: 
  • Understand 'What' & 'How' aspects of Machine Learning
  • Get insights from Industry Best Practices for Data manipulation & summarisation
  • Facilitate Predictive decision making by getting better insights into the data
  • Gain insight into customer behavior across Different Channels through segmentation and accurate lifetime prediction 
  • Get Full Fledged View of how to detect financial spams, make medical predictions, improve precise financial decisions, have accurate sales forecast and many more related topics
  • Take Actionable better Data-Driven Decisions to increase market share 
  • Helps with Adjusting to Macro Changes in predictive models

Carrer Benefits:
  • Become Eligible for machine learning jobs demanding background 
  • Open doors to Job Opportunities Abroad demanding specialization
  • Fill the void of thousands of untapped High-Paying Jobs in analytics with Talent Shortage 
  • Get Promoted in current profile with most in-demand skill 
  • Distinguish your profile from peers during Job Interviews 
  • Earn a Rewarding Certification- 'Certified Machine Learning Practitioner' (CMLP)
  • Upgrade biz card with Hallmark of Global Credential-CMLP Professional added next to your name
  • Improve CV & Linkedin Profile with professional development 
  • Support a Startup with high ROI  
  • Build a Startup in one of the most rewarding fields of today- Machine Learning!

Batch Dates

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Module 1
  • Introductory Topics to Analytics
  • Introduction to Data Management
  • Basics of Programming
  • Data Structures
  • Data Manipulation & Summarisation
 
Module 2
  • Analytical Modeling
  • Statistical Tests
  • Linear Regression
  • Visualisation using Graphs
  • Missing Value and Outlier Analysis
 
Module 3
  • Clustering
  • Decision Trees
  • Ensembles (Bagging & Boosting)
 
Module 4
  • Gradient Boosting
  • Support Vector  Machine
  • Bayes Classifier

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