Data Science
Data Science is a field which deals with collecting, analyzing, and extracting valuable information from large sets of data. This processed data provides insights into latest trends, market flow, and large consumer behaviour.
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About Data Science
A data scientist is needed to find such statistically significant data trends and design plans to utilize this potential to help the company grow its business. As the data set is getting larger it has become increasingly difficult to perfectly sort the data for its relevance. Also, humans can not individually be able to look at such large data sets. Due to this, companies have started developing programs that are better able to handle such data, categorize the information and break it down so that humans are able to make sense of it. The use of such programs has tremendously increased the efficiency of data processing, also now new-age developments have implemented smart programming to make the machines able to make better decisions at sorting and presenting data by learning from a human trainer. This form of computation is called Machine Learning and has been increasingly used by companies all around the globe. A data scientist has to make extrapolation of trends, cleaning of outliers, data visualization, prediction modeling and regression modeling from the obtained data. Similarly, data science uses concepts like neural networks, natural language processing and Python-based programming. We at SevenMentor training institute, cover all these relevant topics in our best Data Science course in Noida.
This is a very important aspect through which companies from a wide range of domains are able to make important decisions in the design and development of product to sales and marketing of it. As the current world is highly digitized, everything from shopping for food to clothing and random conversations to government dissent is done online. This generates a tremendous amount of data, and all of this data has hidden relevance of consumer preferences, market requirements and general business trajectory.
Due to the above-mentioned features, Data Science has become the most trending option in IT-related careers around the world. information assessed from multiple jobs hosting websites has shown an increase in job opportunities for Data Science developers for the past few years. The job postings for Data Scientists have been on a constant rise for the past few years. These opportunities are only going to increase for the next few years. The exact requirement of data science professionals is very large compared to the current available skilled employees. So make your mark on the Data Science field by joining the Best Data Science Training institute in Noida.
SevenMentor Training Institute for Data Science course
SevenMentor has been one of the most distinguished institutes for IT-related training. We provide courses for major programming software like Python, C++, ML, SAP ABAP, Java etc. Along with software development training, we also offer website designing, Business administration, personality development and Foreign language courses at our institutes across India. We have more than 10 years of experience in training students and corporate employees. We have 120 plus courses in the above-mentioned topics and have been the best training institute in Noida. We developed a training protocol which has been steadily adapted to inculcate all the recent developments in the technology sector through all these years of training experience. Our methodology for Data Science Certification with Machine Learning course inculcates an all-round training, covers all the aspects of Data Science like Data channelization, Data Categorization, Regression Statistics and Hadoop based data processing. Our machine learning syllabus imparts students with Python programming, R program, Hadoop. This ensures an overall coverage of all the aspects in Data Science Training in Noida center at SevenMentor. Our Data Science certification course trainers have an in-depth knowledge of all the relevant subjects and also have the high-level programming skills required for Machine learning in Data management software. We handpick our trainers for their real-world experience in Data Science development. They have been working in top MNCs around and have been placed at managerial positions in these companies. This enhances their ability to teach from a company-relevant perspective and surely helps students make an impact with the skills they have gained. So join Machine Learning Classes in Noida to equip yourself with high-level skills and start a great career at major corporations in the technology field.
Data Science Certification
The certification offered by SevenMentor is among the best in India for all the IT-related training. We have been providing highly valuable and professional development certificates in data science at SevenMentor's center in Noida. Our rigorous training methodology along with a high degree of professionalism inculcates students with technically sound knowledge of Data Science. Our certification is regarded as the best in India and thus surely will grant you acceptance at major companies and startups in india. We ensure that every student completes the certification process by clearing all the tests and excelling in the projects that are given to them. The theoretical and practical training that is imparted by SevenMentor helps students to be ready for industry-level functions. Get yourself industry-ready by enrolling in the best Machine Learning certification course in Noida by SevenMentor. We always have a weekly batch starting throughout the year so enquire and get started.
Data Science Job Placements
We have a large database of companies working in the field of Data Science and Machine learning. We also have industrial tie-ups with these companies to provide them highly talented students that can join their workforce. As mentioned, our rigorous training is very valuable and this results in students having tremendous job opportunities at SevenMentor. The certification process adheres to stringent quality standards and provides versatile training to students, this has a huge impact on your resume. So enroll at SevenMentor for a Data Science course free of any dilemma, and get Data Science placement in great MNCs and start-ups around India.
Online Classes
Our online Data Science training in the Noida program inculcates high standards and a personalized learning experience right from home. We have similar training methods to our offline course that imparts all-around Data Science knowledge to our online students. Our best online learning platform has been designed specifically for its ease of navigation, simple teaching methodology and providing greater understanding for the students. The online Data Science course in Noida helps in creating an in-depth understanding and effective skills for Data structuring, Machine Learning algorithms, Regression statistics, Python and Tensorflow coding, and Database management. The online classes have been rated best in the market by many of our students and we have renowned reach in all parts of the country. We host the biggest names in the tech industry for guest seminars and our online trainers have been in the business for many years. The expertise that is available at our institute is very much appreciated by aspirants and they gain deeper insights by the lectures and seminars that we host at our institute. We have a digital resources platform with ebooks, animations, and presentation-based training modules that can be remotely accessed by all our online students. This helps the students to learn things by themselves and at their own pace. As mentioned our modules are designed for overall development, this is achieved by having routine tests and mini projects for every student. The test and mini-project are used to assess the understanding of students' skills and knowledge. Our trainers then provide a personalized syllabus for students based on their learning abilities. This ensures that every student at SevenMentor reaches the optimum level of understanding regardless of their learning pace. Our online training batches are open throughout the year, so contact us for the best online Data Science classes in Noida and have a great learning experience from the safety and comfort of your home.
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 |
---|---|---|---|---|---|
16/12/2024 |
Data Science |
Online | Regular Batch (Mon-Sat) | Noida | Book Now |
17/12/2024 |
Data Science |
Online | Regular Batch (Mon-Sat) | Noida | Book Now |
21/12/2024 |
Data Science |
Online | Weekend Batch (Sat-Sun) | Noida | Book Now |
21/12/2024 |
Data Science |
Online | Weekend Batch (Sat-Sun) | Noida | Book Now |
Students Reviews
The Data Science course at SevenMentor is the most competitive course in india. I was happy to join them in Noida, their trainers were really helpful and provided excellent guidance. Thank you SevenMentor for the great experience.
- Anuj Kaate
The training house is fully equipped with the best computers, the trainers provide the most realistic situation for projects and this shows their overall experience. The functional education methods employed by trainers along with a great learning platform made it easier for me to understand key concepts. I am glad to have joined SevenMentor for my Data Science course.
- Garima Dhapte
SevenMentor has provided me with a balanced learning environment and great experience. I am happy with the curriculum and the placement option provided was really great. I have received a good job and valuable skills from them. I will surely recommend this institute for the Data Science and Machine Learning course in Noida.
- Mayuri Pawar
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Corporate Training
SevenMentor training institute has been involved in corporate training right since the beginning. We have been providing on-the-job training and employee upskill programs for distinguished companies all around India. Our corporate Data Science course in Noida has the highest number of clients from multiple sectors of the technology and business world. SevenMentor is proud to announce that we have completed 500 training keystones for many of our clients. We have large training rooms and can host from 50- 200 employees for corporate training in Noida. Our state-of-the-art building infrastructure with AC ventilation and projector-based training is surely helpful in providing quality training for your employees. We have a contingent of more than 50 industry experts who undertake the corporate training sessions. Their real-world experience in large companies has a big impact on employee orientation and skill development. Our trainers also provide business development and language training to employees. This is helpful in increasing the productivity and presentability of employees. We have special discounts and offers for our partner companies, the corporate training program at SevenMentor is amongst the least expensive and yet most optimum. So enquire for the corporate Data Science Training in Noida and will be happy to provide you with the same with affordable fees.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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