Data Science
Nowadays, with Cloud and IoT technologies, there is a considerable demand for data. As per a recent study, demand for Data Scientists will increase by 30% by 2021. SevenMentor is a premier institute. It has designed, Data Science Course In Nagpur. So you can learn it and make a fantastic career in this field.
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- Regular: 2 Batches
- Weekends: 2 Batches
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About Data Science
Data Science is a process that assists in solving tricky data problems. It is a hybrid of data interface, technology, and algorithm development. Data Science helps to break down complex data structures and derive meaningful understandings from them. These understandings help organizations to make smarter decisions. Every business company and job sector is always looking for specialists. So it can help to make discoveries through their data.
What is Machine Learning?
Machine Learning is a process of data analysis that automates logical model building. It is a subset of artificial intelligence. Machine learning has been founded based on the idea that systems can learn from data, recognize patterns, and make decisions with limited human intervention. Machine Learning algorithms use statistics to discover models within a large amount of data. Big companies like Facebook, Google emphasize machine learning. SevenMentor delivers the best Machine Learning Course in Nagpur.
Why should you learn Data Science?
Empowers management to make better decisions- A Data Scientist is a trusted advisor for management. He ensures that staff improves their analytical abilities. An experienced Data Scientist helps to make improved decision-making which benefits the organization. Organizing actions based on trends- A Data Scientist explores and examines the organization’s data. They recommend specific actions. These actions will help to enhance the performance of the institution, better engage customers, and increase profitability.
Identifying opportunities-
Data Scientists question existing assumptions and processes for developing additional techniques and logical algorithms. They continuously enhance the value from the organization’s data.
Helps in best business outcomes-
Data Scientists gather and analyse data from various channels. It helps to take high stake risks. They create models by using existing data. It stimulates a variety of potential actions. In this way, it assists an organization in achieving the best business outcomes.
Identification and Refining of Target audience-
The significance of data scientists is that they can take existing data that is not useful on its own and integrate it with other data points. It helps to develop insights for an organization to learn about its customers and audience. Due to all these reasons, SevenMentor has formed Data Science Classes In Nagpur.,so you can get knowledge of Data Science and make a successful career in this field.
Why choose SevenMentor to learn Data Science?
SevenMentor is an old and trustworthy institute. It has formed the course. So you can learn Data Science and become a skilled Data Scientist with hands-on experience on real-time projects. Fast track your career with the certificate in Data Science Course In Nagpur. SevenMentor delivers a data science course with placement in Nagpur. Our data science course fees are affordable for everyone. SevenMentor has introduced the most detailed Data Science Training In Nagpur where students can examine numerous stages of the Data Science Lifecycle. Our Data Science Training In Nagpur begins with an introduction to statistics, Python, Probability, and R Programming. At our Data Science Course In Nagpur, you will acquire valuable knowledge about Data preparation, Data mining (Supervised and Unsupervised), Data Cleansing, Exploratory Data Analysis. We help our students to understand the theory behind Feature Engineering, Feature Selection, Feature Extraction. At our Data Science Classes In Nagpur, you can learn to perform Data Mining (Supervising) with linear regression and Predictive Modeling with Multiple Linear Regression Techniques. Data Mining unsupervised using Dimension Reduction, Clustering, and Association Rules are dealing with in detail.
At our Data Science Training in Nagpur, a model is dedicated to scripting Machine Learning Algorithms. It enables Deep Learning and Neural Networks with SVM and black box techniques. Undoubtedly our Machine Learning Course Course in Nagpur is the best course due to the live project exposure in INNODATATICS. It gives a chance to students to apply several concepts studies to a real-time situation. This course readies you for Big data skills and technology in all the prominent industries. At our Machine Learning Classes In Nagpur, we equip students with relevant and logical programming abilities. It will help in building database models. Our trainers will help you create simple machine learning algorithms. The knowledge about Algorithms like K-Means Clustering, Random Forest, and Decision Trees is there for you. They will help you communicate and solve problems effectively. At our Data Science Training In Nagpur, we have morning and evening batches. Weekdays and weekends batches are also available. Fast track Data Science Training Classes In Nagpur are also available for efficient learning of our students. At our Data Science Course In Nagpur, we promise a placement guarantee. Our trainers will help you in interview preparation and resume building. We have a dedicated placement cell. This placement cell will help you in facilitating interviews and getting placement abroad. We have placed 1000+ students in top MNCs like IBM, Infosys, and Panasonic. After completing this course, you will get our globally recognized certificate. This course will help you to become a valuable asset to the company.
Online Classes
Online Training offers students an opportunity to learn wherever best suits them. Students can learn with more comfort and flexibility. SevenMentor delivers Online Data Science Training in Nagpur. In this online training, we help our students to explore techniques. Students will learn about Statistical Analysis, Data Mining, Regression Analysis, Machine Learning, Text Mining, and Forecasting. You will learn Scripting algorithms for the same with R programming and Python. You will understand key concepts of Neural Networks and study Deep Learning Black Box techniques like SVM. Our trainers will help you to perform Text Mining to develop Customer Sentiment Analysis. With this training, you will learn to work with numerous data generation sources. You will learn to analyze structured and unstructured data using different tools and techniques. Our Online Data Science Course in Nagpur will enable you to develop an understanding of Descriptive and Predictive Analytics. With this training, you can use Data Concepts to convey data for knowledge. This training will make you a successful Data Science professional.
Course Eligibility
- Freshers
- BE/ Bsc Candidate
- Any Engineers
- Any Graduate
- Any Post-Graduate
- Working Professionals
Syllabus of Data Science
- 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 Science
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 Science 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 all new aspects of Data Science.
- You will have a good understanding of Data Science Algorithms.
- You will be able to work on real time projects.
- You will be able to work on file formats on different data.
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 Science | Online | Regular Batch (Mon-Sat) | Nagpur | Book Now |
24/12/2024 | Data Science | Online | Regular Batch (Mon-Sat) | Nagpur | Book Now |
28/12/2024 | Data Science | Online | Weekend Batch (Sat-Sun) | Nagpur | Book Now |
28/12/2024 | Data Science | Online | Weekend Batch (Sat-Sun) | Nagpur | Book Now |
Students Reviews
I enrolled in SevenMentor for a Data Science Certification Course. I must say it is a brilliant learning center. The impeccable knowledge of data science is available for students. Trainers of the course make it easy to understand. They deliver real-time scenarios with practical examples. It helped me to understand concepts better. I will highly approve of this course.
- Janvi Tayde
I joined SevenMentor for Data Science Certification Course. SevenMentor has a bunch of trainers and an incredible platform for learning. The course is well-designed and in line with current market needs. Trainers of the course have good knowledge of the subject and are supportive. It is the best Course, I bet.
- Anushri Dhapte
It was the right decision to join SevenMentor for the Machine Learning Certification Course. SevenMentor has designed with excellence. Even a person with limited programming skills can learn effectively. Trainers of the course are knowledgeable and are patient. It was the best learning experience with SevenMentor. I will approve this course to my friends also.
- Shrikant Damle
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Corporate Training
Corporate Training makes employees understand new systems and methods for performing tasks. It improves productivity and employee satisfaction. SevenMentor provides practical Corporate Data Science Classes in Nagpur. In this Corporate training, you will learn to identify the data-analytics problems that offer the vastest opportunities to the organization. You will learn to determine the correct data sets and variables. Our Trainers will train you to collect large sets of structured and unstructured data from disparate sources. By cleaning and validating the data, you will ensure completeness, accuracy, and uniformity. With this practical Corporate Data Science Training in Nagpur, you will learn to analyze the data to recognize trends and patterns. Our trainers will train you to arrange and apply models and algorithms. So you can mine the stores of big data. You can interpret the data to find solutions and opportunities. The Corporate Data Science Course in Nagpur will help you to become an excellent Data Scientist.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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