Data Analytics
These days, data plays an essential role in the business. It helps in increasing revenue. So, Data analytics is famous among youth. SevenMentor is a professional institute which is providing the Best Data Analytics Training in Nagpur.
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- Regular: 2 Batches
- Weekends: 2 Batches
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About Data Analytics
Data analytics (DA) is the procedure of assessing data sets. It helps in discovering trends. It also helps in drawing decisions about the information they comprise. There is wide use of Data analytics methods in commercial industries. Organizations can make more informed business decisions. As a phrase, data analytics refers to a variety of applications. It includes business intelligence (BI), reporting, online analytical processing (OLAP). It also involves several aspects of developed analytics. Data analytics can assist businesses in boosting revenues and enhance efficiency. It can optimize marketing movements. Data analytics can also help in consumer service efforts. There is a use of reacting promptly to arising market trends and earning a competitive edge. The purpose of data analytics, however, is to improve business performance. The data assessed can include either historical records or new information.
Why should you learn Data analytics?
You can learn the skills applicable for the job. It is easy to understand how to use analytic procedures that are in demand. You can also specialize with time, irrespective of your existing career.
Career is high in demand:
75% of professionals recognize data analytics as a crucial career. 68% of them fail to find workers with the essential skills. In the future, there is a plan to enhance the reach of career chances. Due to this reason, data analytics is crucial.
Vast number of changes in many domains:
Data analytics delivers cost-effective applications. It boosts decision-making capacity in many sectors like production, healthcare. It also provides education, distributors, media, and even real estate. There are also changes in many sectors, and there are many careers. These careers complement the skills and needs.
The profession has much well-remunerated employment:
The economic benefits of shifting to a job in data analysis are higher. They are higher than those of most IT practitioners. Pupils and young people with computer-based skills, practical driving, and healthy coordination should see big data analytics as a job change. It will help them to earn higher wages within a limited time.
If you are good at maths, you can progress in this field:
If you know statistics and mathematics, a career in Data Analytics is beneficial. It would expand your skill in applied linear algebra, statistics, graph theory, etc. That's why data analytics is the destiny of everything.
Assists you in decision-making:
Data mining is an extra benefit for any organization that permits practical decisions. It delivers a competitive advantage. It simplifies decision-making layers in many areas from top to bottom. It also aligns the actions of the regional level with more and more organizations depending on data experts. Due to all these reasons, SevenMentor provides the Best Data Analytics training in Nagpur.
Why choose SevenMentor to learn Data Analytics?
SevenMentor is the Best Data Analytics Training Institute in Nagpur. SevenMentor provides knowledge of Data analytics and placement. For Learners, having Data Analytics certification is beneficial. They can achieve a quick job in an MNC. Our Data Analytics course fees in Nagpur are affordable for everyone. So a learner from any financial background can join this course. At Data Analytics Training in Nagpur, trainers are our core strength. They are expert professionals who have a decade of experience. You will learn about forecasting. It will help you in making decisions. Our trainers are subject experts who have grasped data analytics technology. They have earned excellence awards for their genuine Data Analytics coaching. At Data Analytics Classes In Nagpur, our pupils can learn about decisions related to arranging the technology. They can do it without postponing the running of business operations.
SevenMentor delivers students with detailed information, understanding, and experience on the subject. We assume learners as our responsibility. We deliver learners through Data Analytics coaching. So, they attain their career goals confidently. We have established a laboratory as per industry norms and includes the latest applications, tools, and software. We have an entire building with the latest infrastructure. SevenMentor provides a Wi-Fi facility and advanced classroom facilities.
At our Data Analytics Classes in Nagpur, we have flexible batch timings. We believe in satisfying the requirements of learners and employed professionals. We have made attainable weekday morning, weekday evening, weekend batches. Our batches are available as per your necessities. Online, Corporate Training is also accessible for you. It will help in your analytic and productive learning. Data Analytics Certification Course in Nagpur indicates your excellence in Data Analytics, data visualization, Machine learning. It is a sign of your persistence and commitment to the topic. You can Utilize it to differentiate yourself from others. Motivate yourself in your career road with this certificate from the Best Data Analytics training in Nagpur.
Online Classes
Online training is the technique of knowledge transfer through the internet. SevenMentor provides knowledge of data analytics through online training. Our trainers are analysts and executives who have a decade of experience in Data Analytics. Online Data Analytics Training in Nagpur is as per the global norms and involves theory and practical knowledge. It is beneficial for the pupils in learning. With this training, you will know about data analytics completely. Our trainers will make you learn about all the essential concepts of data analytics. We will assist you to work on real-time projects. With these real-time projects, you will understand the topic better. Our training creates practical situations. For that purpose, it uses simulators and appliances. Online Data Analytics Course in Nagpur makes learning easy for students. It helps in getting the necessary skills in technology.
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 |
---|---|---|---|---|---|
23/12/2024 |
Data Analytics |
Online | Regular Batch (Mon-Sat) | Nagpur | Book Now |
24/12/2024 |
Data Analytics |
Online | Regular Batch (Mon-Sat) | Nagpur | Book Now |
28/12/2024 |
Data Analytics |
Online | Weekend Batch (Sat-Sun) | Nagpur | Book Now |
28/12/2024 |
Data Analytics |
Online | Weekend Batch (Sat-Sun) | Nagpur | Book Now |
Students Reviews
I have completed the Best Data Analytics Course in Nagpur from SevenMentor. The trainer is very excellent at her job. She trained us about all the significant concepts. She also instructed us about Data Analytics. She assisted us in moving with the fully automation part. I loved SevenMentor and would approve of this to everyone. I am highly confident of securing my dream job very soon.
- Bina Roy
I made the right decision by finishing the Best Data Analytics training in Nagpur from SevenMentor. I can say that this institute is excellent in all its forms. They not only educate us but also assist us in attaining logical execution. I have worked on real-time projects. It was an incredible and memorable experience of learning at SevenMentor.
- Prachi Tidke
I have completed the Best Data Analytics Classes in Nagpur from SevenMentor. In the starting stage, things were difficult for me. Then gradually, with the assistance of trainers, I could skillfully grab the subjects theoretically and practically. Now I am so glad that I joined SevenMentor. It is one of the credible institutes. A big thanks to the SevenMentor team.
- Pooja Apte
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Corporate Training
Corporate Data Analytics Training in Nagpur is essential for business. It improves productivity and helps to get prosperity in business. SevenMentor provides an understanding of data analytics through corporate training. This training offers you the knowledge of many techniques. These techniques are helpful as it enables data analytics on vast datasets. Corporate Data Analytics Classes in Nagpur helps in learning many techniques. They will learn about those techniques to assess structured and unstructured data. It helps in creating prediction models with the help of data analytics and machine learning algorithms. This corporate Data Analytics Course in Nagpur is excellent for experts. It is beneficial for those who need to attain an in-depth understanding of Big Data frameworks. Our corporate training is also helpful for students. It will help them in getting placement in a reputed firm.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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