Data Science Online Training

Data Science  Training gives the enterprises and businesses the need for high-end tools and technology to drive business insights and perform critical data analysis, developing predictive models. This helps businesses manage large sets of data, using different algorithms and mathematical analysis for extracting valuable insights to apply strategic decisions. Lara Online Training provides high-end Data […]

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Data Science  Training gives the enterprises and businesses the need for high-end tools and technology to drive business insights and perform critical data analysis, developing predictive models.

This helps businesses manage large sets of data, using different algorithms and mathematical analysis for extracting valuable insights to apply strategic decisions.

Lara Online Training provides high-end Data Science training, providing complete know-how of how to analyze Big Data using R Programming and Hadoop. The Data Science certification training also explains what are the roles played by Data Science professionals.

After completing the Data Scientist training, the professionals will be able to understand:

  • Analyze Big Data using Machine Learning, Hadoop, and R
  • Data Transformation using different techniques
  • R Programming algorithms
  • You will use Data analysis by using Hadoop Mappers and Reducers
  • Learn about Data Analysis Life Cycle
  • Data Visualization and optimization
  • Data Scientist roles

Target audience

This course is ideal for aspirants who are looking to enhance their data analysis understanding, along with Big Data Analytics, Analytics Managers, Data Scientists, Hadoop Professionals, Information Architects, and more.

Prerequisites

Aspirants opting for this course should have basic knowledge of core Java and functional programming, and mathematical aptitude.

Why Should I choose Lara Online Training?

  • We provide Very in-depth course material with Real Time Scenarios for each topic with its Solutions for, Data Science Online Training.
  •  At Lara, we provide case studies in real-time applications with a professional explanation.
  •  We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real-time Experts.
  •  Class recordings are available immediately after the session for future reference.
  •  We do Normal Track, Fast Track, and Weekend Batches for Data Science Online Training.
  •  We assist you with cost Effective and Flexible Payment Schemes.
  •  At Lara, we provide Placement Assistance.
  •  We provide Assessment and Mock Interviews

Introduction to Data Science

1
Introduction to Big Data
2
Roles played by a Data Scientist
3
Analyzing Big Data using Hadoop and R
4
Methodologies used for analysis
5
The Architecture and Methodologies used to solve the Big Data problems

Basic Data Manipulation using R

1
Understanding vectors in R
2
Reading Data, Combining Data
3
Subsetting data
4
Sorting data and some basic data generation functions

Machine Learning Techniques Using R Part-1

1
Machine Learning Overview
2
ML Common Use Cases
3
Understanding Supervised and Unsupervised Learning
4
Techniques, Clustering
5
Similarity Metrics
6
Distance Measure Types: Euclidean, Cosine Measures, Creating predictive models

Machine Learning Techniques Using R Part-2

1
Understanding K-Means Clustering
2
Understanding TF-IDF and Cosine Similarity and their application to Vector Space Model
3
Implementing Association rule mining in R

Machine Learning Techniques Using R Part-3

1
Understanding Process flow of Supervised Learning Techniques
2
Decision Tree Classifier
3
How to build Decision trees
4
Random Forest Classifier
5
What is Random Forests
6
Features of Random Forest
7
Out of Box Error Estimate and Variable Importance
8
Naive Bayes Classifier

Introduction to Hadoop Architecture

1
Hadoop Architecture
2
Common Hadoop commands
3
MapReduce and Data loading techniques (Directly in R and in Hadoop using SQOOP, FLUME, and other Data Loading Techniques)
4
Removing anomalies from the data

Integrating R with Hadoop

1
Integrating R with Hadoop using RHadoop and RMR package
2
Exploring RHIPE (R Hadoop Integrated Programming Environment)
3
Writing MapReduce Jobs in R and executing them on Hadoop

Mahout Introduction and Algorithm Implementation

1
Implementing Machine Learning Algorithms on larger Data Sets with Apache Mahout

Additional Mahout Algorithms and Parallel Processing using R

1
Implementation of different Mahout algorithms
2
Random Forest Classifier with parallel processing Library in R

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EXCELLENT rating
Based on 16 reviews
It was great working and learning experience with krish on scripting issue. Communication with Management is very responsive and helpful and special thanks to krish for his patience.
sujith B
sujith B
2023-05-18
Trainer explained well.completed all topics and helped in technical issues
Laxmi M
Laxmi M
2023-01-29
Gulshan who is the trainer is very good at giving insights of the RPA and he is good on clearing all my doubts. The institute also helped me find the right trainer
Srivalli Anand Makkapati
Srivalli Anand Makkapati
2023-01-27
Thank you so much, Mr. Kishore, for the online IT training. That was a great experience with you. I have learned a lot from you. You are a very knowledgeable person and helpful in answering questions. I appreciate your replies to me promptly through text messages or email. I understand you overall.
Asif Jafri
Asif Jafri
2023-01-09
The explanation is excellent. Trainer explained with live examples and secenarios
Eswar vakada
Eswar vakada
2023-01-09
Excellent experience. Kishore is a valuable resource, Lara online training should be proud of him.
Nasir Javed
Nasir Javed
2023-01-09
that was a best practice and I have learned alot new things. thank you kishore
Muscle Passion
Muscle Passion
2023-01-09
Thank you so much for give us such a great training I learn a lot and it adds value to my knowledge If got a job I should be able to do it without any trouble thanks.
Mohammad Zahid_Qureshi
Mohammad Zahid_Qureshi
2023-01-09