Data Analytics
If you want to start your journey in data analytics, then this is the right place for you. SevenMentor is a reputable institute and has formulated the best Data Analytics Course in Delhi. It will help you to make a prosperous career in this field.
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- Regular: 2 Batches
- Weekends: 2 Batches
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About Data Analytics
What is Data Analytics?
In this 21st century, you might have heard the word data analytics. Presently, it is one of the most buzzing terms. Data Analytics is an inclusive term. It is the science of assessing raw data to make conclusions about that information. Data analytics assists businesses in optimizing their performances. It works over raw data for human consumption. An organization can also utilize data analytics to make better business decisions. They can assist in analyzing customer trends and satisfaction. It can lead to new and better products and services. SevenMentor is a prominent institute and has designed the best Data Analytics Training in Delhi.
Why should you learn Data Analytics?
The following reasons are responsible for why you should learn Data Analytics:
1. Massive demand -
It is the apparent advantage in understanding data analytics. Data analysts are helpful as more and more companies and sectors begin working with big data, so its significance is only going to increase. Data Analytics jobs require graduates with analytics abilities, so they can grasp higher salaries. They can rejoice in their choice of accessible jobs. At our Data Analytics Classes in Delhi, you can learn about data analytics effectively.
2. Analytics is everyplace -
There are many financial advantages in Data Analytics. With the big data explosion, there are all kinds of new chances for talented workers. It could be serving in numerous industries such as aviation or government. There are so many organizations glancing to capitalize on data. It enhances their processes. So, it is a sensational time to begin a job in analytics. Our Data Analytics Certification Course in Delhi is an extraordinary place to learn it.
3. Data Analytics is becoming more crucial -
There is something of a blast time in the world of analytics. There is a vast amount of data accessible today. So, the chance to take insight from that data is tremendous. There are better job chances and career choices. It brings now the excellent time to begin a journey into the world of big data analytics. Also, Several education specialists are boosting its significance. So, Secondary schools, as well as higher education organizations, are providing training for it. Our Data Analytics Course in Delhiwill provide you with excellent Data Analytics Training.
4. A range of identical abilities-
The extraordinary thing about being an analytics expert is that it includes so much more than simply understanding how to work with data. These are significant elements, but data analysts also require understanding how to convey problematic information to those without expertise. Communication abilities are a crucial part of any job. Analytic specialists also help in the decision-making process. So, they need to pick up leadership skills also. Join the best Data Analytics Classes in Delhi with assured job placement.
5. A preference for leading organizations
Top companies are turning to data analytics, with market competition stiffening. It will help to recognize new market opportunities for their services and products. These days 77% of top organizations assess data analytics as a critical element of business performance. So, data experts influence company policies and marketing procedures.
6. Improving pay for data analytics experts
Data analytics experts are getting paid more. It is because the demand steadily increases and the supply remains low. These days In India, data analytics experts get paid more. On average, 50% more than their counterparts in other IT-based careers. This tendency is apparent across the world. More and more corporations understand just how significant these professionals are to the organization. If you join our
Data Analytics Training in Delhi, you will also get extra pay as a data analytics expert.
Why choose SevenMentor to learn Data Analytics?
SevenMentor provides one of the most extensive Data Analytics Classes in Delhi. It delivers an essential understanding of Data Analytics at affordable fees. So these classes are available for everyone. We also provide 100% placement security at our classes.
We have experienced trainers at our Data Analytics Course in Delhi. They will train you about Data Storage and processing using Hadoop, Spark, and HDFS. With their understanding, you will learn about Data Preparation, Data Cleansing. You will learn about Neural Networks, SVM, Data Visualization techniques, and Exploratory Data Analysis.
The Data Analytics Certification Course in Delhi helps you in Data Mining of Structured (RDBMS) and Unstructured (Big Data) data. With the assistance of Python and R programming, you can learn data analytics. Our trainers will help you learn with real-life instances.
We allot adjustable batch timings and satisfy the desires of students and assigned specialists. Our institute has made attainable weekday morning, evening, and weekend batches. It has made it suitable as per your motives. Online, Corporate Training is also accessible at our Data Analytics Training in Delhi. Therefore, It is valuable for you. You will get productive and rational learning.
Our Trainers provide exact freedom to the learners at Data Analytics Classes in Delhi. They will assist you in analyzing the subject. You will realize it based on real-time examples. Our trainers encourage the learners to complete their programs. They will also aid you in instructing interview questions and answers. Therefore, you can ask any questions at any time.
SevenMentor furnishes you with the best Data Analytics Certification Course in Delhi. All the global organizations have understood the Certification of SevenMentor. Thus, after the profitable completion of the course, you will attain the industry-approved certification. Join the best Data Analytics Course In Delhi. You will learn from top professionals with placement security.
Online Classes
Online Training encourages learners to grasp the class at their own pace. It provides an atmosphere that is more suitable for their learning attitude. SevenMentor delivers the best Online Data Analytics Training in Delhi. Our trainers will help you understand Various black-box techniques. With the help of them, you will learn about Neural Networks, SVM Data Visualization techniques. You will learn about Machine Learning for predictive Modelling. This training makes you learn various techniques facilitating data analytics on vast datasets. You will analyze the application of these technologies that deliver scalable systems for storing and processing enormous amounts of data. This online training advises the learner on several techniques. It will help to analyze structured and unstructured data. It assists in building developed prediction models with machine learning algorithms and data visualization.
Course Eligibility
- Freshers
- BE/ Bsc Candidate
- Any Engineers
- Any Graduate
- Any Post-Graduate
- Working Professionals
Syllabus of Data Analytics
- 1. Installation Of Vmware
- 2. MYSQL Database
- 3. Core Java
- 1.1 Types of Variable
- 1.2 Types of Datatype
- 1.3 Types of Modifiers
- 1.4 Types of constructors
- 1.5 Introduction to OOPS concept
- 1.6 Types of OOPS concept
- 4. Advance Java
- 1.1 Introduction to Java Server Pages
- 1.2 Introduction to Servlet
- 1.3 Introduction to Java Database Connectivity
- 1.4 How to create Login Page
- 1.5 How to create Register Page
- 5. Bigdata
- 1.1 Introduction to Big Data
- 1.2 Characteristics of Big Data
- 1.3 Big data examples
- 6. Hadoop
- i) BigData Inroduction,Hadoop Introduction and HDFS Introduction
- 1.1. Hadoop Architecture
- 1.2. Installing Ubuntu with Java on VM Workstation 11
- 1.3. Hadoop Versioning and Configuration
- 1.4. Single Node Hadoop installation on Ubuntu
- 1.5. Multi Node Hadoop installation on Ubuntu
- 1.6. Hadoop commands
- Cluster architecture and block placement
- 1.8. Modes in Hadoop
- Local Mode
- Pseudo Distributed Mode
- Fully Distributed Mode
- 1.9. Hadoop components
- Master components(Name Node, Secondary Name Node, Job Tracker)
- Slave components(Job tracker, Task tracker)
- 1.10. Task Instance
- 1.11. Hadoop HDFS Commands
- 1.12. HDFS Access
- Java Approach
- ii) MapReduce Introduction
- 1.1 Understanding Map Reduce Framework
- 1.2 What is MapReduceBase?
- 1.3 Mapper Class and its Methods
- 1.4 What is Partitioner and types
- 1.5 Relationship between Input Splits and HDFS Blocks
- 1.6 MapReduce: Combiner & Partitioner
- 1.7 Hadoop specific Data types
- 1.8 Working on Unstructured Data Analytics
- 1.9 Types of Mappers and Reducers
- 1.10 WordCount Example
- 1.11 Developing Map-Reduce Program using Eclipse
- 1.12 Analysing dataset using Map-Reduce
- 11.13 Running Map-Reduce in Local Mode.
- 1.14 MapReduce Internals -1 (In Detail) :
- How MapReduce Works
- Anatomy of MapReduce Job (MR-1)
- Submission & Initialization of MapReduce Job (What Happen ?)
- Assigning & Execution of Tasks
- Monitoring & Progress of MapReduce Job
- Completion of Job
- Handling of MapReduce Job
- Task Failure
- TaskTracker Failure
- JobTracker Failure
- 1.15 Advanced Topic for MapReduce (Performance and Optimization) :
- Job Sceduling
- In Depth Shuffle and Sorting
- 1.16 Speculative Execution
- 1.17 Output Committers
- 1.18 JVM Reuse in MR1
- 1.19 Configuration and Performance Tuning
- 1.20 Advanced MapReduce Algorithm :
- 1.21 File Based Data Structure
- Sequence File
- MapFile
- 1.22 Default Sorting In MapReduce
- Data Filtering (Map-only jobs)
- Partial Sorting
- 1.23 Data Lookup Stratgies
- In MapFiles
- 1.24 Sorting Algorithm
- Total Sort (Globally Sorted Data)
- InputSampler
- Secondary Sort
- 1.25 MapReduce DataTypes and Formats :
- 1.26 Serialization In Hadoop
- 1.27 Hadoop Writable and Comparable
- 1.28 Hadoop RawComparator and Custom Writable
- 1.29 MapReduce Types and Formats
- 1.30 Understand Difference Between Block and InputSplit
- 1.31 Role of RecordReader
- 1.32 FileInputFormat
- 1.33 ComineFileInputFormat and Processing whole file Single Mapper
- 1.34 Each input File as a record
- 1.35 Text/KeyValue/NLine InputFormat
- 1.36 BinaryInput processing
- 1.37 MultipleInputs Format
- 1.38 DatabaseInput and Output
- 1.39 Text/Biinary/Multiple/Lazy OutputFormat MapReduce Types
- iii)TOOLS:
- 1.1 Apache Sqoop
- Sqoop Tutorial
- How does Sqoop Work
- Sqoop JDBCDriver and Connectors
- Sqoop Importing Data
- Various Options to Import Data
- Table Import
- Binary Data Import
- SpeedUp the Import
- Filtering Import
- Full DataBase Import Introduction to Sqoope
- 1.2 Apache Hive
- 1.2 Apache Hive
- What is Hive ?
- Architecture of Hive
- Hive Services
- Hive Clients
- How Hive Differs from Traditional RDBMS
- Introduction to HiveQL
- Data Types and File Formats in Hive
- File Encoding
- Common problems while working with Hive
- Introduction to HiveQL
- Managed and External Tables
- Understand Storage Formats
- Querying Data
- 1.3 Apache Pig :
- What is Pig ?
- Introduction to Pig Data Flow Engine
- Pig and MapReduce in Detail
- When should Pig Used ?
- Pig and Hadoop Cluster
- Pig Interpreter and MapReduce
- Pig Relations and Data Types
- PigLatin Example in Detail
- Debugging and Generating Example in Apache Pig
- 1.4 HBase:
- Fundamentals of HBase
- Usage Scenerio of HBase
- Use of HBase in Search Engine
- HBase DataModel
- Table and Row
- Column Family and Column Qualifier
- Cell and its Versioning
- Regions and Region Server
- HBase Designing Tables
- HBase Data Coordinates
- Versions and HBase Operation
- Get/Scan
- Put
- Delete
- 1.5 Apache Flume:
- Flume Architecture
- Installation of Flume
- Apache Flume Dataflow
- Apache Flume Environment
- Fetching Twitter Data
- 1.6 Apache Kafka:
- Introduction to Kafka
- Cluster Architecture
- Installation of kafka
- Work Flow
- Basic Operations
- Real time application(Twitter)
- 4)HADOOP ADMIN:
- Introduction to Big Data and Hadoop
- Types Of Data
- Characteristics Of Big Data
- Hadoop And Traditional Rdbms
- Hadoop Core Services
- Hadoop single node cluster(HADOOP-1.2.1)
- Tools installation for hadoop1x.
- Sqoop,Hive,Pig,Hbase,Zookeeper.
- Analyze the cluster using
- a)NameNode UI
- b)JobTracker UI
- SettingUp Replication Factor
- Hadoop Distributed File System:
- Introduction to Hadoop Distributed File System
- Goals of HDFS
- HDFS Architecture
- Design of HDFS
- Hadoop Storage Mechanism
- Measures of Capacity Execution
- HDFS Commands
- The MapReduce Framework:
- Understanding MapReduce
- The Map and Reduce Phase
- WordCount in MapReduce
- Running MapReduce Job
- WordCount in MapReduce
- Running MapReduce Job
- Hadoop single node Cluster
- Hadoop single node Cluster Setup :
- Hadoop single node cluster(HADOOP-2.7.3)
- Tools installation for hadoop2x
- Sqoop,Hive,Pig,Hbase,Zookeeper
- Hadoop single node Cluster Setup :
- Hadoop single node cluster(HADOOP-2.7.3)
- Tools installation for hadoop2x
- Sqoop,Hive,Pig,Hbase,Zookeeper.
- Yarn:
- Introduction to YARN
- Need for YARN
- YARN Architecture
- YARN Installation and Configuration
- Hadoop Multinode cluster setup:
- hadoop multinode cluster
- Checking HDFS Status
- Breaking the cluster
- Copying Data Between Clusters
- Adding and Removing Cluster Node
- Name Node Metadata Backup
- Cluster Upgrading
- Hadoop ecosystem:
- Sqoop
- Hive
- Pig
- HBase
- zookeeper
- >7. MONGODB
- 8. SCALA
- 1.1 Introduction to scala
- 1.2 Programming writing Modes i.e. Interactive Mode,Script Mode
- 1.3 Types of Variable
- 1.4 Types of Datatype
- 1.5 Function Declaration
- 1.6 OOPS concepts
- 9. APACHE SPARK
- 1.1 Introduction to Spark
- 1.2 Spark Installation
- 1.3 Spark Architecture
- 1.4 Spark SQL
- Dataframes: RDDs + Tables
- Dataframes and Spark SQL
- 1.5 Spark Streaming
- Introduction to streaming
- Implement stream processing in Spark using Dstreams
- Stateful transformations using sliding windows
- 1.6 Introduction to Machine Learning
- 1.7 Introduction to Graphx
- Hadoop ecosystem:
- Sqoop
- Hive
- Pig
- HBase
- zookeeper
- 10. TABLEAU
- 11. DATAIKU
- 12. Product Based Web Application Demo based on java(EcommerceApplication)
- 13. Data deduplication Project
- 14. PYTHON
- 1.Introduction to Python
- What is Python and history of Python?
- Unique features of Python
- Python-2 and Python-3 differences
- Install Python and Environment Setup
- First Python Program
- Python Identifiers, Keywords and Indentation
- Comments and document interlude in Python
- Command line arguments
- Getting User Input
- Python Data Types
- What are variables?
- Python Core objects and Functions
- Number and Maths
- Week 1 Assignments
- 2.List, Ranges & Tuples in Python
- Introduction
- Lists in Python
- More About Lists
- Understanding Iterators
- Generators , Comprehensions and Lambda Expressions
- Introduction
- Generators and Yield
- Next and Ranges
- Understanding and using Ranges
- More About Ranges
- Ordered Sets with tuples
- 3.Python Dictionaries and Sets
- Introduction to the section
- Python Dictionaries
- More on Dictionaries
- Sets
- Python Sets Examples
- 4. Python built in function
- Python user defined functions
- Python packages functions
- Defining and calling Function
- The anonymous Functions
- Loops and statement in Python
- Python Modules & Packages
- 5.Python Object Oriented
- Overview of OOP
- Creating Classes and Objects
- Accessing attributes
- Built-In Class Attributes
- Destroying Objects
- 6. Python Object Oriented
- Overview of OOP
- Creating Classes and Objects
- Accessing attributes
- Built-In Class Attributes
- Destroying Objects
- 7. Python Exceptions Handling
- What is Exception?
- Handling an exception
- try….except…else
- try-finally clause
- Argument of an Exception
- Python Standard Exceptions
- Raising an exceptions
- User-Defined Exceptions
- 8. Python Regular Expressions
- What are regular expressions?
- The match Function
- The search Function
- Matching vs searching
- Search and Replace
- Extended Regular Expressions
- Wildcard
- 9. Python Multithreaded Programming
- What is multithreading?
- Starting a New Thread
- The Threading Module
- Synchronizing Threads
- Multithreaded Priority Queue
- Python Spreadsheet Interfaces
- Python XML interfaces
- 10. Using Databases in Python
- Python MySQL Database Access
- Install the MySQLdb and other Packages
- Create Database Connection
- CREATE, INSERT, READ, UPDATE and DELETE Operation
- DML and DDL Oepration with Databases
- Performing Transactions
- Handling Database Errors
- Web Scraping in Python
- 11.Python For Data Analysis –
- Numpy:
- Introduction to numpy
- Creating arrays
- Using arrays and Scalars
- Indexing Arrays
- Array Transposition
- Universal Array Function
- Array Processing
- Arrary Input and Output
- 12. Pandas:
- What is pandas?
- Where it is used?
- Series in pandas
- Index objects
- Reindex
- Drop Entry
- Selecting Entries
- Data Alignment
- Rank and Sort
- Summary Statics
- Missing Data
- Index Heirarchy
- 13. Matplotlib: Python For Data Visualization
- 14. Welcome to the Data Visualiztion Section
- 15. Introduction to Matplotlib
- 16. Django Web Framework in Python
- 17. Introduction to Django and Full Stack Web Development
- 15. R Programming
- 1.1 Introduction to R
- 1.2 Installation of R
- 1.3 Types of Datatype
- 1.4 Types of Variables
- 1.5 Types of Operators
- 1.6 Types of Loops
- 1.7 Function Declaration
- 1.8 R Data Interface
- 1.9 R Charts and Graphs
- 1.10 R statistics
- 16) Advance Tool for Analysis
- 1.1 git
- 1.2 nmpy
- 1.3 scipy
- 1.4 github
- 1.5 matplotlib
- 1.6 Pandas
- 1.7 PyQT
- 1.8Theano
- 1.9 Tkinter
- 1.10 Scikit-learn
- 1.11 NPL
- 17. Algorithm
- 1.naive bayes
- 2.Linear Regression
- 3.K-nn
- 4.C-nn
Trainer Profile of Data Analytics
Our Trainers explains concepts in very basic and easy to understand language, so the students can learn in a very effective way. We provide students, complete freedom to explore the subject. We teach you concepts based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates can learn in our one to one coaching sessions and are free to ask any questions at any time.
- Certified Professionals with more than 8+ Years of Experience
- Trained more than 2000+ students in a year
- Strong Theoretical & Practical Knowledge in their domains
- Expert level Subject Knowledge and fully up-to-date on real-world industry applications
Data Analytics Exams & Certification
SevenMentor Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.
Our certification at SevenMentor is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.
Proficiency After Training
- Learn the all aspects of Data Analytics
- proficient in HIVE, R, Scala, and SQL, or Structured Query Language
- Understand the ecosystem of Data Analytics
- Practicals on Pig Hive Hbase
- Practicals on commercial distributions
Key Features
Skill Level
Beginner, Intermediate, Advance
We are providing Training to the needs from Beginners level to Experts level.
Course Duration
90 Hours
Course will be 90 hrs to 110 hrs duration with real-time projects and covers both teaching and practical sessions.
Total Learners
2000+ Learners
We have already finished 100+ Batches with 100% course completion record.
Frequently Asked Questions
Batch Schedule
DATE | COURSE | TRAINING TYPE | BATCH | CITY | REGISTER |
---|---|---|---|---|---|
21/10/2024 |
Data Analytics |
Online | Regular Batch (Mon-Sat) | Delhi | Book Now |
15/10/2024 |
Data Analytics |
Online | Regular Batch (Mon-Sat) | Delhi | Book Now |
19/10/2024 |
Data Analytics |
Online | Weekend Batch (Sat-Sun) | Delhi | Book Now |
19/10/2024 |
Data Analytics |
Online | Weekend Batch (Sat-Sun) | Delhi | Book Now |
Students Reviews
I have finished Data Analytics Classes in Delhi from SevenMentor. This class makes me know more about it and can formulate my modules. It is a decent learning platform with trainers. They provided me with adequate interaction before the introduction of training. It was an extraordinary experience, and I am waiting for your other classes.
- Seema Sancheti
I think I made a favorable decision by completing a Data Analytics Course in Delhi from SevenMentor. It was an outstanding understanding experience. I have learned about Neural Networks, SVM, Data Visualization techniques. Trainers of SevenMentor take all the effort. So you can learn Data Analytics effectively. I am thankful to SevenMentor.
- Sudhir Khandelwal
I have completed a Data Analytics Certification Course in Delhi from SevenMentor. It was a helpful and eye-opening experience. As I am a beginner in data analytics, I feel lucky to attain this training. Trainers of the course never made me think any different from my fellow students. They provide attention to each student.
- Aarohi Jain
Course video & Images
Corporate Training
Corporate training has an impact on employee retention and can reduce the expenses of recruitment. SevenMentor provides practical corporate training at the Corporate Data Analytics Course in Delhi. This corporate training helps you learn essential data engineering abilities. It includes Hadoop Distributed File System( HDFS), MapReduce, YARN, and the basics of Linux OS. Our trainers will provide you with Pig, Hive, Python, and Scala. It will help you to process and evaluate large datasets stored in HDFS. You will understand SQOOP is usable in data migration from RDBMS to Big Data sets. Our trainers help you learn Machine Learning Training. So, you will know it with Python and R programming. It includes a synopsis of analytical techniques. They help in managing vast data. You will use Python and R, which will help you to execute Regression Analysis. It will help you to create Prediction Models.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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