Blue Camphor Technologies 2018

Frequently Asked Questions

Are you planning to move ahead with this course? To ensure you've got an absolutely perfect understanding, please watch this video, which will clear any possible doubts or questions you can have about this course.

100% Layoff Protection

100% Industry Grade

100% Job Preference

Demo #1 - Hadoop Architecture

In this demo, you will get a detailed understanding of the Hadoop Ecosystem & Architecture focusing on HDFS and MapReduce. At the end, you will understand the complete BIG Data & Hadoop Architecture & multiple workflows.

HDFS & MapReduce

BIG Data Ecosystem

Hadoop Architecture

Demo #2 - MapReduce Programming

In this demo, you will get a detailed understanding of the MapReduce Execution engine, with a live programming example. At the end, you'll be absolutely ready to run MapReduce commands in your cloud labs.

MapReduce Architecture

Mapper & Reducer

MapReduce Jobs

Hadoop 2.x Fundamentals

Big Data - Concepts, Types & Application. Introduction to Hadoop 2.x Architecture & Ecosystem.

What is the course curriculum?

You will get the entire BIG Data & Hadoop ecosystem broken down into step-by-step lessons, making it very easy for you to grasp all the concepts & components.
 

HDFS

HDFS Architecture, File Read & Write. Data Loading Commands & Workflows. High Availability and HDFS Federation

MapReduce - I

Introduction to MapReduce Job Operation; MRV1 - Mapper, Shuffle & Sort, Reducer. Complete YARN Architecture

MapReduce - II

MRV2. Map Side Join; Reduce Side Join. Counters, MR Unit and Sequential Files. Design Patterns

Hive - I

Introduction to Hive Architecture & Data Types. HiveQL Command Structures and Data Models.

Hive - II

Hive - Meta Store & Bucketing. Managed, External and Temporary Tables. Indexes and UDFs.

PIG - I

PIG - Model, Modes & Commands. 13 Core PIG Operations. PIG-Latin Command Structures.

PIG - II

Joins - Replicated, Merge and Skewed. Advanced UDFs, Operations and Functions.

Sqoop

Introduction to Sqoop - Sqoop Ecosystem & Workflow. Data Operations via Hbase, HDFS and Hive.

Flume

Introduction to Flume. Flume Architecture & Data Flow. Setup Configuration. Flume - Twitter Sync

Oozie

Detailed Oozie Workflow. Applying in Production Environments; Co-ordinator and Scheduling. 

Hbase Architecture, Operations and Deployment. Data Model, Physical Model and Integrations.

Hbase

Demo #1 - Hadoop Architecture

In this demo, you will get a detailed understanding of the Hadoop Ecosystem & Architecture focusing on HDFS and MapReduce. At the end, you will understand the complete BIG Data & Hadoop Architecture & multiple workflows.

HDFS & MapReduce

BIG Data Ecosystem

Hadoop Architecture

Demo #2 - MapReduce Programming

In this demo, you will get a detailed understanding of the MapReduce Execution engine, with a live programming example. At the end, you'll be absolutely ready to run MapReduce commands in your cloud labs.

MapReduce Architecture

Mapper & Reducer

MapReduce Jobs

Data Sciences via R Certification Course Rs. 6700 1997

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Instant Money Back Guarantee

In case you're not satisfied with the course, there is a 3 day no questions asked money back guarantee. This is 100% risk free.

70+

Self-Paced Video Lessons

3

Live Projects

1

Personal Cloud Lab

24/7

Live Technical Support

60+

100+

Practical Exercises

60+

365

Days Access

60+

Practical Exercises

365

Days Access

Practical Exercises

100+

Data Sciences via R Certification Rs. 6700 1997

Introduction to R 

UseCases and Applications of R. Case Studies. Understanding Workings of R. Analytics Concepts

What is the course curriculum?

You will get the entire Data Sciences ecosystem broken down into step-by-step lessons, making it very easy for you to grasp all the concepts & components.
 

Getting Started With R

Installing Various Packages of R. Navigating R Console. Introduction to R Studio. Function Operations in R Studio

Data in R 

 

Basic Data Types in R. Data Values and Special Values. Factors. Data Operations & Standard Workflows

Data Structure in R

Understanding Data Structures. Vectors, Matrix, Arrays, Data Frames, List & Conversion Functions

Importing & Exporting

Importing and Exporting Data in R using Special Packages - Haven, RCurl and SAS. Reading & Extraction

Exploring Data 

Basic Exploration Using Numbers. Univariate and Bivariate Distribution -  Numerical & Graphical

 

Statistical Functions, Conditional Processing, User Defined Functions. Computation in R & Family of Apply Functions

 

Working With Data

Using Base Plots for Numeric Data. Advanced Plot using Lattice, ggplot2. Visualizing categorical data & Spatial Data

Data Visualization  

Demo #1 - Vectors in R

In this demo, you will get a detailed understanding of vectors & related arithmetic operations. This was also include vector element comparison and 10+ standard arithmetic structures. This also includes the recycling rule and vector expansion.

Introduction to Vectors

Vector Operations

Vector Arithmetic

Demo #2 - Arithmetic Operations

In this demo, you will get a detailed understanding of number exploration, arithmetic operations and number formulas in R Programming. This will also set the foundation for further practical exploration & exercises.

Number Exploration

Number Formulas

Arithmetic Operations

These Companies Will Recognize Your Certification

Here are few of our 70+ corporate partners who will recognize your Data Science via R  Certification from this course. In fact, employees of these companies complete this exact course before being deployed on projects.
"This is a 10x superior experience compare to live instructor led training, the material quality is awesome and projects replicate real-time scenarios:

Varun Vijaywargi JP Morgan Chase

"Skillspeed has provided me a clear road-map for a career in BIG Data. The class quality is excellent and I'm fully satisfied with the support"

Ankit Gupta          Etisalat

“The content was a perfect mix of theoretical & practical topics. The overall quality is excellent and I will definitely refer my peers"
 

Subhendu Mandal United Health Group

“This is the most fun I've had learning since college! The instructor has left me eager to apply new skills”
 

Melissa Torres Procore Technologies

“I have attended many courses from Skillspeed and I trust them. The cloud lab was an absolutely amazing experience"
 

Akshay Zala   Logicom Solutions

“I'm happy to do this course and this will help me secure my future. A special mention of the support team for helping me at each step”
 

Ashwin Kumar        HPE

“I took the BIG Data & Hadoop and DevOps course; it was very well taught with a lot of supporting materials and reference material ”
 

Natalie Korbova TEK Systems

"The course at Skillspeed was well structured and instructor was very well versed with the concepts he was explaining"
 

Janmejay Rai OPTTransnational

“The course was well structured with rich content; overall learning experience was excellent. Kudos to the Skillspeed team"
 

Sameer Masram        IP Software

“It has been a wonderful journey with Skillspeed. Everything from course content to the lab facility and support has been superb!"
 

Mukesh Jha               TCS

Real-time Experience

Every learning resource in this course is absolutely optimized with industry standards and will give you the foundation to move ahead in your career.

Guided Lessons

You will get 70+ concept lessons covering HDFS, MapReduce, PIG, Hive, Sqoop, Flume, Oozie and Hbase.

Industry Grade Practicals

You will get 100+ guided practicals to give you a comprehensive hands-on experience.

Live Support

You will get 24/7 live technical support from our trainer engineers via phone, email and video calls.

Cloud Labs

You will get 365 days access to a personal cloud lab built on the Cloudera distribution. You can also upload personal data-sets.

Industry Certification

You will get a course completion certificate recognized by 70+ corporates.

HOW IT WORKS?

Live Industry Grade Projects

You will get access to the following live industry grade projects in this course.

Use Case #1

Import Medical Data to R Studio. Data Cleansing Implementations & Validation Checks.

Analyze Medical Insurance Claim Patterns & Customer Behavior Visualizations

Use Case #2

Claim & Customer Churn Analysis via Join & Recode Operations. Factor based Claim Predictive Analytics via R Algorithms.

Use Case #3

Data Visualization. Customer Behavior Patterns: Marital Status, Medical History and Socio-Economic Habits.

Use Case #1

Data Import & Cleansing. Boxplot and Whisker Plot Analysis for Iris Data Attributes.

Analyzing Iris Data for Eye Quality, Vision Accuracy and Performance Predictions

Use Case #2

Implementation of 10-fold Cross Validation. Data Model Accuracy via Random Forest & Linear Algorithms.

Use Case #3

Cluster & Histogram Analysis to Estimate LDA - Maximum Data Separation Benchmark Analytics.

Use Case #1

Statistical Analysis for Batting Performance Benchmarks. Custom Variables - Runs, Frequency & Years.

Analyze Cricket Batsmen Scoring Patterns & Comparison Analytics

Use Case #3

LOESS Regression Analytics for Top 10 Batsmen. Performance Variable Data Visualization.

Use Case #2

Comparison Analytics - 3D Scatter Plot. Predictive Performance Analysis: Factors & Historical Patterns.