Data Science
Data Science is the mining of such hidden insights in customer data, latest trends pertaining to consumer behaviour, interpretation and inferences of organization's forecasts, which in turn enable them in making informed decisions to target the business opportunities.
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- Weekends: 2 Batches
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About Data Science
What is Data Science and how Machine learning is used in it?
Data Science is the mining of such hidden insights in customer data, the latest trends pertaining to consumer behavior, interpretation and inferences of an organization's forecasts, which in turn enable them in making informed decisions to target the business opportunities.
There has been an exponential rise in the use of digital services worldwide. This results in vast amounts of data right from personal to organizational levels. This data is a very valuable resource for companies as they can make better decisions to enhance and support their business growth. The tremendous data thus requires use of various softwares programs to enable the researcher to have statistical and geographically significant data. The gathering and comparison of such data has been taken over by Machine learning software that are designed to handle large variable data and provide structured information from them.
The professionals are said to be Data Scientists if they have the skills to find out such data and figure out the relevant information from it. Data Science has become the most sought after profession and as per Harvard reports and the most high value skill in the professional world.
Why Should One Take The Data Science Course?
According to NASSCOM, around 1.4 Lakh jobs are available in Data Science, Artificial Intelligence and Big Data roles every year.
There will be a deficit of around 2.4 Lakh Data science professionals in 2021-22 as per various reports.
The overall demand for data science professionals has been rising at around 400% every year since 2018 according to the Talent Supply Index for India. Data science has become the most sought-after job to pursue in the IT sector by Glassdoor rankings since the year 2018.
The Best Data Science course by SevenMentor
SevenMentor offers the most comprehensive Data Science Course in Mumbai. Our Data Science course covers all the important aspects of data science like Data Mining, Data categorization protocols, Extrapolation of trends, cleaning of outliers and data visualization, prediction modeling and regression modeling through the obtained data, predictive analysis and hypothesis testing through statistics. SevenMentor also imparts Machine Learning Training in Mumbai along with a Data Science course in Mumbai provides students with a deeper understanding of new-age concepts like neural networks, natural language processing and anaconda-based programming. We impart programming language training of Python, R programming and Hadoop. Our expansive syllabus ensures that all the aspects of Data Science and Machine learning are covered up and students receive most recent information about the topic.
SevenMentor has been in the IT sector training for more than 10 years and therefore has a neat and smooth training methodology for all our courses. We have curated the most versatile and easy-to-understand Data Science syllabus and our modular training concept ensures that students have understood the subject before moving onto the next module. 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. They have extensively worked with major MNCs in the technology world and have been at important positions in these corporations. Their valuable experience is surely an important aspect of training at SevenMentor for Data science Classes in Mumbai. We provide discounts to early birds for each batch so do enquire with us for discounts on Data Science and Machine Learning training programs.
Receive a Valuable Data Science certification by SevenMentor
The Data Science Training in Mumbai by SevenMentor imparts all relevant knowledge of data management to students. Our courses are expansive and rigorous , this results in students having a thorough understanding and are ready for professional life in Data Science Jobs along with Machine Learning placement. We conduct tests routinely to assess students' knowledge along with mini projects that are assigned to observe the skillsets of individual students. These activities help trainers at SevenMentor identify students' learning needs and provide personalized training sessions to them. Students will be able to receive a SevenMentor certificate after successful completion of the course. The Data Science certification course in Mumbai has high industry relevance as our training process ensures you have achieved best knowledge of the topic. SevenMentor's Data Science certification is highly valued at major MNCs and will surely make an impact on your resume. Most of the companies in India accept our certification due to the high standard we have set in our Data Science and Machine learning certification course.
Do we get a Job Placement scheme at SevenMentor after the course?
Our Data Science certificate Training in Mumbai also comes with a job placement opportunity at major companies in the IT and business sector. We have an in house placement and consultation scheme for all the students enrolled with us at the Data Science course at SevenMentor in Mumbai. We have placed more than 200 students in respectable positions through our placement cell in Mumbai. The Machine Learning course in Mumbai definitely assures you a placement in top MNCs and start ups. We also provide students with personality development and language training sessions to ensure students are prepared for the interviews at our partner companies. So enroll at SevenMentor for the Data Science Classes in Mumbai and have a great career opportunity.
Salient features of SevenMentor training institute in Mumbai
Mumbai is the commercial capital of India. Many top corporate and IT companies have their headquarters in the city. Mumbai City is a destination for tremendous opportunities in terms of new upcoming jobs. Our Mumbai centers for Data Science training have inculcated the vibrancy of this city and ensures that all the best aspects of training are provided to you near you. We have multiple Data Science training centers all over Mumbai and its suburbs. Our centers are located at premier places with extensive connectivity to all parts of Mumbai. We have great building infrastructure and have the best classrooms with well ventilated, spacious and hygienic facilities. Our computer lab hosts the latest hardware and software configurations and students can take advantage of these facilities. We also have a large library of resources for study material like books, eBooks, animated videos and recorded training sessions which surely helps the student in self study. Our excellent training methodology along with highly experienced trainers let the students gain through knowledge of complex Data Science applications. We offer various discounts to students and professionals alike and always have new batches starting throughout the year. These features at our SevenMentor training Institute in Mumbai really help students with the learning process by making it a smooth and indulgent experience.
Online Classes
Because of the pandemic, there has been a necessity to host online learning platforms for students. With this in mind, we at SevenMentor have started offering online Data Science Training in Mumbai. The online course at SevenMentor has been as relevant as offline courses and they are hugely adopted from the offline methodology. The training methods for online courses have been designed to provide students with optimum knowledge of complex Data Science designs, Data structure, algorithm and Machine learning process all from the comfort of the home. We provide recorded as well as live sessions to students. This lets them have a learning experience that guarantees the best learning experience at your own pace. The live sessions are spaced to ensure students are up to date and on schedule for the curriculum and are progressing at required levels for the course. We allow remote access to our resources at the Mumbai training center to all our online students so that they can have the best studying experience right from their home.
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) | Mumbai | Book Now |
17/12/2024 |
Data Science |
Online | Regular Batch (Mon-Sat) | Mumbai | Book Now |
14/12/2024 |
Data Science |
Online | Weekend Batch (Sat-Sun) | Mumbai | Book Now |
14/12/2024 |
Data Science |
Online | Weekend Batch (Sat-Sun) | Mumbai | Book Now |
Students Reviews
I had joined the Data Science course at the SevenMentor, and I would say that they are the best training institute for Data Science in Mumbai. Our training session covered all the important aspects of data science and was also helpful in understanding industry level optimization of Machine learning.I had a great time learning at SevenMentor.
- Rashmi Nanda
My experience at SevenMentor mumbai was great as they have really good infrastructure, big and neat classrooms and professional trainers. They have a very skill based approach in teaching and also provided me with valuable certification. Thanks to the job placement, I have received a great package after the training completion.
- Shushma Tyagi
We had joined for the corporate training session of our company at SevenMentor. I would like to say that they really have professional trainers and their session helped us all with some great quality knowledge about Data Science and its utilization by Machine learning. Thanks to their trainers we have received relevant insider tips and skills.
- Kuldeep Singh
Course video & Images
Corporate Training
SevenMentor has been providing corporate training for our clients in many IT industries. We host training sessions for almost 70 different courses in IT, Software development, Business management and personality development for corporate professionals. Our team of high quality trainers is handpicked for their knowledge about the subject, expertise in the field and real world corporate development experience. Our trainers have been at top positions in big MNCs around India, and they have worked on many important projects in those companies. Their experience with working in corporate training is extensive and thus we are able to provide best in class Corporate training for Data Science in Mumbai. We host batches ranging from 20-200 employees and thus have a large training setup perfect for job training for beginner and expert employees. We provide both at-location and on-the-job training sessions for our corporate clients and cover all the requested topics in a precise amount of time. Our Corporate Data Science Course in Mumbai are highly rated for the flexible and professional methodology by our clients in multiple IT sectors. We are also one of the best Corporate training institutes in Mumbai and have the best infrastructure for training and housing corporate sessions. Corporate training at SevenMentor Institute also inculcates personal development, Business administration and other skill enhancement sessions for the employees, this surely helps in an increase of productivity and functioning of the employee. So enquire for the Corporate Data Science Classes in Mumbai at SevenMentor Institute, we provide discounts and offers throughout the year for corporate customers.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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