Learn At Your Own Place, At Your Own Pace

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Stand Out With Tech Skills That Matter

Our goal is to bring interesting, cost-effective and impressive training coursesto the world. We look to empower our learners to excel in their professions. Ourobjective is to develop courses which have a high demand in the industry.

We understand that learning is a continuous process and a person needs tokeep on upgrading his knowledge to remain relevant in today's dynamicindustry. Thus, our training makes sure that you are upgraded with the latest, inthe technical field. Our teaching methodology acknowledges that there is lessof passive listening and more active doing.

Our aim is to provide education which not only increases your knowledge butalso makes an impact on your life.

MISSION AND VISION

About Easylearning.Guru

Easylearning.guru is the brainchild of Ms. Poonam Gupta, the vicechairwoman of KCC Institute of Technology and Management. Her vision wasto provide affordable and easy-to-understand courses online. This led to theinception of Easylearning.guru to fulfill her vision.

Easylearning.guru started providing online instructor led training of Hadoopto the students of KCC Institute of Technology and Management. Presently,Easylearning.guru has a wide variety of courses, catering to more than15,000 students in almost 10 different countries.

Easylearning.Guru has been awarded as the most promisingBig Data Training Companies by CIOReview. We have beenacknowledged as one of the companies which are in thevanguard of offering Big Data and Analytics courses. We thankall our learners who have contributed to help us gain thisprestigious title.

FEATURES OF EASYLEARNING.GURU

Designed for busy peopleReschedule your class at your own

convenience

Easy Rescheduling

Hands-On Learning

Learn by doing real-life projects

Guidance & Support

Get Technical Support 24x7 from us

Get Certified

Earn an internationally recognized certification from Easylearning.guru

OUR COURSES

INSTRUCTOR LED-ONLINE COURSES

SELF-PACED COURSES

INSTRUCTOR LED-ONLINE COURSES

BIG DATA AND HADOOP

SYLLABUS: Introduction to Big Data andHadoop, Hadoop Distributed File System,MapReduce, Advanced MapReduce I,Advanced MapReduce II, Apache Pig,Apache Hive, Apache Zookeeper, ApacheHBase, Apache Sqoop, Hadoop 2.x withYARN, Apache Oozie, Cloudera Impalaand Project.

DURATION: Approx. 6 weeks

Assumes 8 hrs./week (51+ hrs.)

BUSINESS ANALYTICS WITH R

SYLLABUS: Introduction of BusinessAnalytics and R, R Programming, Statistics,Importing Data From Different Sources,Data Manipulation in R, Data Visualizationin R, Data Exploration and Preparation,Data Mining with Machine Learning,Association Rule Mining and SentimentAnalysis, Predictive Modelling Techniques,Regression Modelling in R, Decision Treeand Random Forest.

DURATION: Approx. 5 weeks

Assumes 6 hrs./week (30+ hrs.)

MONGODB DEV AND ADMIN

SYLLABUS: Introduction to NoSQL, JSONand BSON, MongoDB Introduction, CRUDOperations, Data Modeling, DesigningApplications, Replication, Sharding,Administration and Security, Java API, andWeb Application with MongoDB.

DURATION: Approx. 5 weeks

Assumes 6 hrs./week (30+ hrs.)

PYTHON WITH DJANGO

SYLLABUS: Getting started, Files, Loopsand Functions, Classes and Exceptionhandling, Using database and WebBrowser, Introduction with Django, View,URL and Template, Database and DjangoAdmin, Form Processing, Advanced viewsand URLconf with Template engine,Sessions and Users with Testing, DeployingDjango and Django's Middleware andcontrib module.

DURATION: Approx. 6 weeks

Assumes 6 hrs./week (36+ hrs.)

SELF-PACED COURSES

ADVANCED MAPREDUCE

• GHRGRIUH SYLLABUS: A look at Hadoop, MapReduceBasics, Understanding MapReduce,MapReduce with YARN, AdvancedMapReduce Concepts-I, AdvancedMapReduce Concepts-II and AdvancedMapReduce Concepts-III.

DURATION:

SYLLABUS: A look at Hadoop, MapReduceBasics, Understanding MapReduce,MapReduce with YARN, AdvancedMapReduce Concepts-I, AdvancedMapReduce Concepts-II and AdvancedMapReduce Concepts-III.

DURATION: Approx. 2 weeks

Assumes 5 hrs./week (10+ hrs.)

WEBSITES WITH BOOTSTRAP

SYLLABUS: Introduction to Bootstrap, GridSystem, Bootstrap CSS, Bootstrap LayoutComponents, Bootstrap JavaScript Pluginsand Project and Applications.

DURATION: Approx. 1 week

Assumes 30 mins./day (3.5+ hrs.)

PYTHON PROGRAMMING

SYLLABUS: Getting Started with Python,Files, Statements and Loops in Python,Functions, Classes and Exception Handlingin Python, Tkinter, Using Database andWeb Browser, Data Structures and Mining,Pygame and Projects.

DURATION: Approx. 3 weeks

Assumes 5 hrs./week (15+ hrs.)

DATA ANALYSIS WITH EXCEL

SYLLABUS: Introduction of course, DataAnalysis using Descriptive Statistics,Forecasting and Visualizing Data, Testinga Hypothesis, Utilizing ProbabilityDistributions, Working with Covariance andCorrelations, Working with BayesianAnalysis and Further Resources.

DURATION: Approx. 1 week

Assumes 30 mins./day (3.5+ hrs.)

PYTHON GUI

SYLLABUS: Introduction to Python with Variables and Data Types, Files, Loops & Functions in Python, Classes and Exceptions in Python, GUI Tools in Python, Widgets in Tkinter, Customizing Widgets and Applications in Tkinter.

DURATION: Approx. 3 weeks

Assumes 5 hrs./week (15+ hrs.)

JAVA PROGRAMMING

SYLLABUS: Basic Concepts of Java andObject oriented Programming, Diving Deepinto Core Java, Understanding the basicmechanism of OOP paradigm, JavaExceptions and memory management indetail, Threads in Java, ComprehendingConcepts of Generic Classes andCollection Interfaces.

DURATION: Approx. 1 week

Assumes 1 hr./day ( 7+ hrs.)

APACHE SQOOP AND FLUME

SYLLABUS: Introduction to the course,Getting started with Sqoop , ImportingData in HDFS using Sqoop, Exporting Datafrom HDFS, Import /Export Data betweenRDBMS and Hive/Hbase, Sqoop2,Apache Flume, Data analysis using Flume.

DURATION: Approx. 1 week

Assumes 1hr./day ( 7+ hrs.)

DATA VISUALIZATION WITH R

SYLLABUS: Introduction to DataVisualization, Introduction to R,Introduction to Graphical Parameter,Types of Graphs, Plotting with ggplot2,Network Graph and Project.

DURATION: Approx. 1 week

Assumes 1hr./day ( 7+ hrs.)

ADVANCED APACHE PIG

SYLLABUS: Introduction to Course, GettingStarted with Apache PIG, Pig LatinLanguage and its Statement, PIG Modeland Operators, PIG Built in Functions, PIGScripts and UDF’s, Control Structures, Shelland Utility Commands, Compression withPIG and Testing and Diagnostics.

DURATION: Approx. 2 weeks

Assumes 5 hrs./week (10+ hrs.)

ADVANCED APACHE HIVE

SYLLABUS: Introduction to Apache Hive,Hive Data Types and DDL, Hive DML andHive QL, Hive Queries and Views, hiveIndexing and Tuning, Compression withHive, UDFs in Hive, Customizing Hive Fileand Record Formats, Hive StorageHandlers and NoSQL and Hcatlog.

DURATION: Approx. 3 weeks

Assumes 4 hrs./week (12+ hrs.)

SPLUNK

• GHRGRIUH SYLLABUS: Introduction to Splunk's User Interface, Searching, Using Pivot, Using Fields in Your Search, Creating Reports and Visualizations, Working with Dashboards.

DURATION: Approx.1week

Assumes 30 mins./day ( 3.5+ hrs.)

ADVANCED HBASE

• GHRGRIUH SYLLABUS: Getting Started with HBase,NoSQL and Basic Concepts, HBase DataModel, HBase DDL, DML and OtherCommands, Architecture and Working ofHBase, Bulk Loading Data in HBase, Filtersin HBase, CRUD operations in HBase viaJava API and Counters in HBase.

DURATION: Approx. 2 weeks

Assumes 5 hrs./week (10+ hrs.)

PYMONGO

SYLLABUS: Introduction to the Course,Introduction to Python, Files, Conditionals,Loops and Functions, Classes andExceptions, Introduction to MongoDB,Crud Operations and Data Modelling,Indexing and Aggregation, Introduction toPyMongo, Common PyMongo and PythonPatterns, PyMongo with Web Frameworks.

DURATION: Approx. 2 weeks

Assumes 5 hrs./week (10+ hrs.)

BIG DATA AND HADOOP IN TELUGU

SYLLABUS: Introduction to Big Data and Hadoop, Hadoop Distributed File System, MapReduce, Apache PIG, Apache Hive, Apache Zookeeper, Apache HBase, Hadoop 2.x with YARN, Apache Sqoopand Project.

DURATION: Approx. 4 week

Assumes 4 hrs./week (16+ hrs.)

REVIEWS