Data Science
Many organizations have started using various software programs to make sense of such data, software based programming languages have been specifically designed to process what is called big data and make sense from it. Statistical analysis, geographical relevance and large customer preferences can be assessed by such programs.
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About Data Science
Ever since the advent of the digital era and internet, we have started generating tremendous amounts of data on personal and institutional levels. The data includes our personal preferences, our shopping lists, our mobility and location data, and our social media accounts. All of this information can be used by the companies to offer us personalized services and an optimized experience. Thus, if we take into account the amount of data that needs to be processed by companies we realize that it is infact a tedious task. Many organizations have started using various software programs to make sense of such data, software-based programming languages have been specifically designed to process what is called big data and make sense from it. Statistical analysis, geographical relevance, and large customer preferences can be assessed by such programs. Data mining and Machine learning is used for mining such hidden information and relevant statistics from large data sets, uncovering of latest trends and prediction of major market growth can be done using machine learning. A data scientist thus has to be able to observe large data and provide the company with all of the above-mentioned insights. In the current age of information technology, the role of a data scientist is of utmost importance to companies with diverse and large customer bases. Machine learning programs can be made to do the ground work in such scenarios as they are designed to take in data sets and trained to observe for the relevant information. We at SevenMentor have designed one of the most optimized data science and Machine learning courses in Chennai.
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Opportunities in Data Science and Machine Learning sector
Many reports from the world's leading job tracking websites suggest that data science is the most sought after career option in the world and has high payback compared to other jobs. According to the Talent Supply Index for India, the overall demand for data science specialists has increased by roughly 400 percent every year since 2018. According to a Glassdoor survey, machine learning developers and data scientists have been the most popular IT job candidates since 2018. Every year, more than 1.4 lakh opportunities in Data Science, Artificial Intelligence, and Big Data are available, according to NASSCOM. According to several reports, there would be a shortage of roughly 2.4 lakh data science workers in 2021-22. Such a large requirement will undoubtedly increase your chances of a great career in one of the hottest trending industries and also lead you to one of the highest-paying jobs in the world. So start planning a great career by joining SevenMentor for the Data science course in Chennai.
SevenMentor Training institute
SevenMentor is one of India's oldest IT training organizations. We've been in this business for almost a decade. We provide over 45 different courses in areas such as software development, languages, personal growth, and artistic training. Over the years, we've created a massive amount of learning and education material and have provided guidance to both students and working professionals. Our experience in IT related training has put us at the forefront of the market and we offer the most up-to-date catalog of courses in India. We have curated the most versatile and easy to understand syllabus and our modular training concept has been refined by our expert team through years of experience. Along with tremendous experience as an institute , we also hire top class trainers. These trainers have years of real work experience in Data Science, Python programming, AI development and managing big data. The trainers have real world experience and have been aligned with major MNCs in the IT sector. They have been at top positions in these corporations and thus have been involved in many crucial projects and development initiatives. Their work experience certainly helps students with industry oriented training, they share relevant information and insider tips which is helpful for students. Our Data Science course in Chennai has the topmost industry experts as trainers and external faculties. So join SevenMentor institute in Chennai for the best Data Science and Machine Learning course in the city.
Data Science course in Chennai
SevenMentor offers the most comprehensive Data Science course in Chennai. Our course is designed to impart all-around knowledge of Data science to students. We cover important topics like Data Mining, Data categorization protocols, Extrapolation of trends, Outlier detection, and data visualization, prediction and regression modeling, etc. We provide students with the most up-to-date information about Data Science trends along with predictive training, this makes our course fruitful and future-ready. Along with Data Science, our machine learning software development training uncovers the knowledge of Hadoop, Python, and R programming for students.
Our Chennai center is best in terms of learning infrastructure, we house a large number of computers with high end configurations and latest software and auxiliary features. Our buildings are AC ventilated, our classrooms have tremendous space for distanced seating and hygienic training facilities. We have projector based teaching, remote access to hardware and latest training equipment. We also host large learning resources in the form of books, ebooks and animation videos, which students are free to use for educating themselves. We have multiple training centers all over Chennai and it's suburbs. Our centers are located at premier places with extensive connectivity to all parts of the city. Overall features like this help students have a great learning experience at SevenMentor in Chennai. We also have discounts and offers on our Data Science Training in Chennai, so do avail them as early as possible.
Certification and Job Placement at SevenMentor
All our courses at SevenMentor adhere to the highest standards in the training, this ensures our students are well versed and have high skills. Data Science certification requires routine tests that are conducted to assess students' knowledge and mini projects are assigned to see the skillsets of individual students. Our trainers ensure all the students have completed the projects and also excel in their tests. We provide personalized training sessions for students that are slow learners or have difficulty in understanding key concepts. This rigorous yet personalized method of training ensures that the students have obtained industry relevant skills and knowledge in Data Science jobs. Students only receive a certification for the course after completion of our expansive syllabus. This has resulted in our certification being looked up with high respect and value in the industry. Our Data Science course will be highly impactful on your resume and surely enable you to land a respectable position in the top MNCs. All the major companies in India accept our certification. We also have an in-house placement cell that has placed over 300 people in employment with various MNCs. We have partnerships with major corporations and up-and-coming entrepreneurs across the country. For students enrolled in Data Science Certification training, we also provide English language training, personality development classes, and mock interview sessions, all of which contribute to their employability and interview success. The Data Science certificate course in Chennai will definitely land you a placement in top MNCs. So enroll at the SevenMentor institute for a great career in Data Science and Machine learning development.
Online Classes
We at SevenMentor have started an online training programme for Data Science so you can now undertake the right form your home. Our online Data science training in Chennai inculcates all the best practices that we have developed at SevenMentor training institute and provides them in a comfortable and safe setting of your home. We have pre-recorded and live video sessions, a large resource sharing platform, personalized training modules and expert trainers. A combination of pre recorded training videos and scheduled live sessions gives you freedom to learn at your own pace but also ensures that students receive individual attention even in online training. Students are remotely guided by our trainers to undertake mini-projects and assessed weekly for their theoretical and practical knowledge. Our online course is thus not just flexible but will also provide you with practical skills of the Data Science field. Our trainers look into the students profile and their weekly assessment and projects to determine an optimum training method for that particular student, this ensures that personalised training is imparted from SevenMentor. We have been highly rated for our online Data Science course in Chennai by many of our students. So if you want to pick up a great new skill and be prepared for the job opportunities in this upcoming IT sector, you can join our online Data Science Classes in Chennai . Our online training certification is as impactful as our offline training and we do provide similar job opportunities to online students.
Course Eligibility
- Freshers
- BE/ Bsc Candidate
- Any Engineers
- Any Graduate
- Any Post-Graduate
- Working Professionals
Syllabus 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.
Total Learners
2000+ Learners
Course will be 90 hrs to 110 hrs duration with real-time projects and covers both teaching and practical sessions.
Assignments Duration
50 Hours
We have already finished 100+ Batches with 100% course completion record.
Support
24 / 7 Support
We are having 24/7 Support team to clear students’ needs and doubts. And special doubt clearing sessions every week.
Frequently Asked Questions
Batch Schedule
DATE | COURSE | TRAINING TYPE | BATCH | CITY | REGISTER |
---|---|---|---|---|---|
16/12/2024 |
Data Science |
Online | Regular Batch (Mon-Sat) | Chennai | Book Now |
17/12/2024 |
Data Science |
Online | Regular Batch (Mon-Sat) | Chennai | Book Now |
21/12/2024 |
Data Science |
Online | Weekend Batch (Sat-Sun) | Chennai | Book Now |
21/12/2024 |
Data Science |
Online | Weekend Batch (Sat-Sun) | Chennai | Book Now |
Students Reviews
Data Science is my favourite field and learning from SevenMentor has increased my passion and understanding of this field drastically. I thank you for excellent training at this institute.
- Ronak Jain
The trainers at SevenMentor are the best in the world and they have the best training methodology for their Data Science course. This has helped me a lot in learning this complex course in an easier manner.
- Shruti Sharma
I thank the institute and trainers for their persistent guidance. I had trouble understanding the concepts but Vijay sir helped me a lot. I have also gained relevant tips from him and have made me skilled in Data management. I thank SevenMentor and their trainers for such a great experience.
- Siya Khan
Course video & Images
Corporate Training
SevenMentor also has a separate team of hand-picked trainers that provide Data Science training to our corporate clients. We provide employee training sessions and on-the-job training to many companies in and around Chennai. We have been involved with the biggest MNCs and have been their first choice for corporate training for many IT and business development courses. Our Corporate Data Science course in Chennai provides the most relevant knowledge to the employees and enhances their output by providing them with appropriate tips and development secrets. We undertake employee development and business development sessions along with the core Data Science courses and this has been very helpful for the corporations to achieve their business goals and growth. We do provide specialized training packages to corporate clients and have discounted offers for training. So enquire for corporate Data Science course in Chennai and avail best services that SevenMentor has to offer.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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