Data Science & Machine Learning Certification Training

Live Online & Classroom Certification Training

Become a Data Scientist and Machine Learning expert, the difference is much more subtle. Studying data science will help you understand how to take the raw data, analyse it, connect the dots and tell a story often via several visualizations and studying machine learning along with it will make you a specialist of artificial intelligence. Altogether this course makes you an amazing Data Science and Machine Learning Engineer.

(4.7) 136 Learners
Instructed by SPRINGPEOPLE

No Public/Open-house class on the topic scheduled at the moment!

Course Description


Duration - 4 Days




Good to have

- This course is appropriate for developers, who wish to write, maintain and\/or optimize Java code using rnrnHadoop framework. A background in Java is required. Hands on experience on writing Java programs using rnrnEclipse editor would be a plus

Course Curriculum

Expand All
  • Introduction
  • Understanding Big Data
  • - Understand how different companies use big data for their business need
  • Big Data Challanges
  • Introduction to Data Science
  • Types of Data Scientists
  • Data Science Components
  • Data Science Use Cases
  • Introduction to R and Hadoop
  • R and Hadoop Integration
  • Machine Learning with Mahout
  • HDFS- Hadoop Distributed File System
  • Assumptions and Goals
  • CAP principle
  • Anatomy of Hadoop Cluster
  • Anatomy of a File Write
  • Anatomy of a File Read
  • MapReduce Framework Architecture
  • Hadoop Processes
  • Understanding Various configuration Properties of Hadoop
  • Introduction to R
  • Describe why R is Used?
  • Implement R programing concepts
  • Learn Data Import techniques
  • Analyze the processing of the Data
  • Observation and Experiments
  • Sampling Methods
  • Quantitative Variables
  • Skewness,Modality and Measures of Center
  • Variance, Standard Deviation, Interquartile Range
  • Probability Rules
  • - Disjoint,Non Disjoint events, Independence
  • Conditional Probability
  • Probability Distributions
  • Understand Machine Learning
  • - Use Cases Walkthrough
  • Machine Learning Techniques
  • Describe Clustering
  • Analyze Clustering Scenarios using Clustering Algorithms
  • Learn TF-IDF and cosine Similarity
  • Understand Supervised Learning Technique
  • Classification
  • Recommendation
  • Learn Decision Tree Classifier
  • - Implement how various Decision Tree algorithms work.
  • Implement Application of Techniques on a smaller datasets for better understanding using R.
  • Understand Unsupervised Learning Technique
  • Understand the implementation of Random Forest Classifier
  • Understand the implementation of Na-ve Bayer's Classifier
  • Apply both techniques on smaller datasets using R
  • Understand Association Rule Mining
  • Understand the need for R integration with Hadoop
  • Learn the ways to integrate R and Hadoop
  • Understand the usage of RHadoop package
  • Perform R integration with Hadoop and Run MapReduce examples
  • Understand Mahout
  • Gain insight on implementing Machine Learning with Mahout
  • Understand Learning, Classification and Clustering techniques with Mahout
  • Implement Recommendation technique and Frequent Pattern Mining in Mahout
  • Understand Mahout Algorithms and Parallel proicessing
  • Learn Advanced techniques in R
  • Implement Parallel Random Forest
  • Understand Data Visualization


SpringPeople works with top industry experts to identify the leading certification bodies on different technologies - which are well respected in the industry and globally accepted as clear evidence of a professional’s “proven” expertise in the technology. As such, these certification are a high value-add to the CVs and can give a massive boost to professionals in their career/professional growth.

Our certification courses are fully aligned to these high-profile certification exams; at the end of the course, participants will have detailed knowledge, be eligible and be fully ready take up these certification exams and pass with flying colours.



Technology Introduction Slides

Technology Introduction Slides

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About the Instructor

Founded in 2009, SpringPeople is a global premier eLearning marketplace for Online Live, Instructor-led classes in the region. It is a certified training delivery partner of leading technology creators, namely Pivotal, Elastic, Lightbend, EMC, VMware, MuleSoft, RSA, and... Read More

Course Rating and Reviews


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1 Star

SPRINGPEOPLE SpringPeople Trainer


Course Material:
Class Experience:
The trainer was pretty new to the training and the class was not helpful. Not at all recommended. Failed to satisfy my requirements

SPRINGPEOPLE SpringPeople Trainer

Satheesh Viswanathan

Course Material:
Class Experience:
As the course focuses more towards the certification, the difficulty level of the labs & exercises could have been increased.

SPRINGPEOPLE SpringPeople Trainer

Deepak Kodigepalli

Course Material:
Class Experience:
Wifi connectivity was a bit slow and were experiencing intermittent disconnects

This class is intended for participants with some prior exposure to the technology and are now looking to build up their expertise on the topic.

On successful completion of the course, participants will be eligible to sit of the related certification exam (see course overview). All participants receive a course completion certificate, demonstrating their expertise on the subject.

Total duration of the online, live instructor led sessions. Sessions are typically delivered as short lectures (2-hrs weekdays/3-hrs weekends) and detailed hands-on guidance.

Expected offline lab work hours that participants will need to complete and submit to the trainer, during and after the instructor-led online sessions.

  1. We are happy to refund full fee paid - no questions asked - should you feel that the training is not up to your expectations.
  2. Our dedicated team of expert training enablement advisors are available on email, phone and chat to assist you with your queries.
  3. All courseware, including session recordings, will always be available to access to you for future reference and rework.

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