Data Analytics
In this time of data, the internet has made it simple for everyone. It helps to earn information whenever and wherever we need it. So, a job in Data Analytics is the next big thing. SevenMentor is a top institute and has designed the best Data Analytics Course in Noida.
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About Data Analytics
Data analytics is an essential profession as it concentrates on pulling insights from data. Data analytics includes the collection, organization, and storage of data. The principal goal of data analytics is to relate statistical analysis and technologies to data. It helps to discover trends and solve problems. Data analytics has become increasingly crucial in the business. It is a standard for assessing and shaping business processes. It helps in enhancing decision-making and business results. SevenMentor has formulated the best Data Analytics Training in Noida, so you can make a lucrative career in this field. Enroll in the best course.
Why should you learn Data Analytics?
Data Analytics helps to personalized customer experience.
Industries receive customer data from many different channels. They can earn it through physical retail, e-commerce, and social media. Data Analytics is beneficial as it helps to build detailed customer profiles from this data. Businesses can improve insights into customer behavior. Therefore, they can provide a more personalized experience. Our Data Analytics Certification Course in Noida is an extraordinary to learn.
Data Analytics helps businesses in decision-making
Businesses can use data analytics in many ways. They can use it to direct business decisions and minimize financial risks. Predictive analytics is beneficial. It can indicate what could happen in reaction to changes to the business. Prescriptive analytics is also valuable. It can show how to respond to these changes. Our Data Analytics Course in Noida will provide you with the best Data Analytics training.
Data Analytics facilitate operations
Companies can enhance operational efficiency through data analytics. Collecting and assessing data about the supply chain is essential. It can show where production delays or bottlenecks originate. They can foresee where future difficulties may occur. Many companies, especially in retail, struggle to optimize their inventory levels. Data analytics can assist optimal supply for all of a business’s products.
Data Analytics provides many job postings
A data analytics expert has a wide range of job postings. As big data is almost everywhere today, you can prefer to be a
– Metrics and Analytics Specialist
– Data Analyst
– Big Data Engineer
– Data Analytics Consultant
These are also other job postings you could hold in big companies. In companies like IBM, ITrend, Opera, Oracle, the chances are vast. Join our best Data Analytics Classes in Noida with placement.
Data Analytics helps in customer engagement
Businesses have begun turning to social media. It helps in brand advertising and customer engagement. So, they have turned to data analytics as well. These days it is nearly impossible to discover any brand that does not have social media existence. Therefore, Shortly, every organization will require data analytics experts. It makes data analytics a sensible career move that has a fortune in the industry. So, it is one of the best reasons why you should learn data analytics. Our Data Analytics Course in Noida is the best place to learn it.
Why choose SevenMentor to learn Data Analytics?
SevenMentor is a central institute as it teaches Data Analytics with skilled teaching experts at Data Analytics Training in Noida. This training is accessible at affordable fees. Therefore, enroll in the best classes and learn Data Analytics. We have trainers with decades of experience in our Data Analytics Course in Noida. They will help you learn about predictive Modelling, Text Mining. Our trainers at SevenMentor provide hands-on training. They will train you on key concepts. You will learn about Tableau, R, SAS analytics, and Power BI. The Data Analytics Certification Course in Noida provides the students with essential skills. You will learn about Hypothesis Testing, Regression Analysis, Data Extracts. They will also help you learn about Descriptive & Inferential statistics and Data Blending. We assign flexible batch timings and convince the desires of learners and appointed experts. Our institute has made feasible weekday morning, evening, and weekend batches. It has made it acceptable as per your intentions. Online, Corporate Training is also handy at our Data Analytics Training in Noida. Thus, It is beneficial for you. You will get creative and practical learning. Our Trainers furnish precise freedom to the students at Data Analytics Classes in Noida. They will help you in assessing the subject. You will understand it based on real-time illustrations. Our trainers motivate the students to finish their policies. They will also benefit you in advising interview questions and answers. Thus, you can ask any questions at any time. SevenMentor provides the best Data Analytics Certification Course in Noida. All the accepted organizations have realized the Certification of SevenMentor. Hence, after the successful completion of the course, you will achieve the Industry-recognized certification. Enlist the
best Data Analytics Classes in Noida where you will understand from top experts.
Online Classes
Online Data Analytics Training in Noida makes it safe for learners to understand and retain the topic. SevenMentor provides the best Online Data Analytics Classes in Noida. We have certified and experienced trainers. They will help you in learning about Natural Language Processing, Machine Learning. Black box techniques are essential in Data analytics. So, you will learn about Neural Networks, SVM. Programming languages are also crucial. So, you will learn about R, Python, and many more. Our online training includes a wide range of skills and tools. You will learn about Statistical Analysis, Machine Learning, Predictive Analysis, Regression Modeling. With the help of our trainers, you will learn about descriptive statistics, inferential statistics, and probability distribution. SevenMentor is a significant institute. It takes all the crucial actions. So you can make an influential career in this field.
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
From Beginner to Expert
We are providing Training to the needs from Begianners 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 Learner
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) | Noida | Book Now |
15/10/2024 |
Data Analytics |
Online | Regular Batch (Mon-Sat) | Noida | Book Now |
19/10/2024 |
Data Analytics |
Online | Weekend Batch (Sat-Sun) | Noida | Book Now |
19/10/2024 |
Data Analytics |
Online | Weekend Batch (Sat-Sun) | Noida | Book Now |
Students Reviews
I have finished a Data Analytics Classes in Noida from SevenMentor. The method of the trainer is valuable. I have received a lot of awareness of data analytics. The trainers are educated and skilled. They also provide 100% placement assistance for the students. It is a reasonable learning organization for data analytics.
- Dipak Satpute
I have completed a Data Analytics Course in Noida from SevenMentor. It is a decent learning platform. Trainers give a favorable atmosphere for students. The prices of the course are accessible for everyone. Trainers are beneficial, supportive, and informed. Anyone eager in data analytics should go for this course.
- Eram Khan
I have attained Data Analytics Training in Noida from SevenMentor. It is an incredible place to enhance your skills in the data analytics field. The decent quality of the training is that you can attend training at your convenience. You can understand Data Analytics with ease. A big thanks to SevenMentor.
- Shahin Naaz
Course video & Images
Corporate Training
Corporate Data Analytics training in Noida conveys the strengths and weaknesses of existing skills. Sufficient training enhances the skills of employees. So, they will have confidence in their job. We have experienced and dedicated trainers. They will train you about Deep Learning, Hypothesis Testing, Natural Language Processing. With the help of them, you will understand the different regression concepts. In this corporate training, you will learn how to use MS SQL along with numerous core database concepts. SevenMentor provides extensive data analytics training. You will learn about Microsoft Excel and the functions of Excel in detail. We deliver a deep understanding of supervised and unsupervised learning. Our institute is a proficient one as it takes all the necessary actions. So you can make a profitable career in this field.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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