Data Science
Data is ruling the 21st Century. It has turned out to be the blood of the technological era. So there is a massive demand for data scientists. It is a popular career among youth. SevenMentor, a leading institute, provides Data Science Training in Bangalore. So you can make an incredible career in this field.
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Data is ruling the 21st Century. It has proved to be the blood of the technical period. So there is an enormous demand for data scientists. It is a popular career among youth. SevenMentor, a prominent institute, delivers Data Science & Machine Learning Training In Bangalore. So you can create a stunning career in this field.
What is Machine Learning?
Machine Learning is a part of artificial intelligence. It pursues analyzing patterns in data to boost learning and decision-making. Machine Learning includes collecting a massive amount of data and uses that data to train and fine-tune a model. With more data collected, we can make fresher, better predictive models. SevenMentor provides practical and beneficial Machine Learning Training in Bangalore.
Why should you learn Data Science?
Following are the reasons why you should learn Data Science.
Highest Salary package-
You can expect to take the highest salary package as a data scientist. Regular data scientists get higher salaries, sometimes much more than usual market standards, due to vital roles and responsibilities.
Different career roles-
With knowledge of Data Science, you can work as a data analyst, Data Engineer, ML engineer, and even a Data science manager.
Be a decision-maker-
It is not possible for every job opportunity that will allow making business decisions. But in data science, it is possible. It is the core responsibility of a data scientist. That is how you kick start your career. You can make the best decisions for your business and add to the success of the business.
Less competitive-
Data scientists have to perform highly analytical roles, so there is always less competition. With limited talent, there is always a need for businesses to hire for these roles. You face less competition from your counterparts, as you have a unique skill set.
Due to all these reasons, SevenMentor has designed a Data Science Course in Bangalore. So you can learn data science and make a fantastic career in this field.
Why choose SevenMentor to learn Data Science?
If you are serious about a career related to Data Science, then SevenMentor is the right choice for you. SevenMentor is also the Machine Learning Training Institute In Bangalore. We have created careers for thousands of Data Science experts in various MNCs in India and abroad. We provide a data science course with placement, our data science course fees are affordable for everyone. So any person from any financial background can join a Data Science Training in Bangalore. At Data Science Training Institute in Bangalore, our strength is our faculty. With 15+ years of professional experience, our trainers are working as Data Scientists. They will help you upskilling the concepts to complete live projects and assignments. At our Data Science Training in Bangalore, Trainers cover the complete Data Science Lifecycle concepts from Data collection, Data cleansing, Data extraction, Data Mining, Data Transformation, Data Exploration, building prediction models, Data Visualization, and deploying a solution to the customer. At our Machine Learning Training in Bangalore, you can learn about tools and skills ranging from Statistical analysis, Regression Modelling, Text Mining, Machine Learning, Deep Learning, Natural Language Processing. The knowledge about R studio, Neural Networks, Hypothesis testing, Tableau, Spark, Hadoop, Predictive Analytics, Programming languages like R programming, Python is part of the Data Science course.
Our Machine Learning Classes in Bangalore offers a blended learning model. Learners can benefit themselves in a classroom, online training, instructor-led online sessions with a single enrolment. A mixture of these three modes of learning will create a beneficial impact on learning. You can attend an unlimited number of instructor-led online classes from various trainers. It is free for one year. So you can master concepts of Data Science and crack a job. Our Data Science Classes are available on weekends and weekdays. SevenMentor provides a Data Science & Machine Learning Certification Course. After finishing the Data Science & Machine Learning class, you will receive our globally recognized certificate. Our Data Science Training In Bangalore, our niche is “Training to Job Placement”. We provide Data science courses with placement. SevenMentor has a dedicated placement cell. We are partners with 150+ corporations. These corporations will facilitate interviews and help students get placed abroad. At SevenMentor Training Institute you will get valuable knowledge of Data Science. Trainers will also help you in interview preparation and resume building as per current market trends. We have placed 1000+ participants in various multinational companies like Panasonic, IBM, Infosys, etc. No wonder why SevenMentor is considered the Best Data Science Training Institute In Bangalore.
Online Classes
Online training content is in digital form. So it is very flexible. Online Training is a valuable asset. It gives you comfort in learning. SevenMentor provides Online Data Science Course in Bangalore with Job Placement. With a PC or Laptop and proper internet connection, you can learn the advanced data science course concepts. Online Data Science Classes in Bangalore is a combination of theory and application using the R programming language. Trainers of the course are personable and engaging. They will make you learn the most popular machine learning algorithms. You can learn with live projects and practical assignments. With this online training, you can learn the entire data science process with a deep understanding. Trainers of the course use famous open-source programming tools and libraries. You will get valuable knowledge about the complete section on statistics as it is the backbone of Data Science. With this Online training, you can become 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 |
---|---|---|---|---|---|
21/10/2024 |
Data Science |
Online | Regular Batch (Mon-Sat) | Bangalore | Book Now |
15/10/2024 |
Data Science |
Online | Regular Batch (Mon-Sat) | Bangalore | Book Now |
19/10/2024 |
Data Science |
Online | Weekend Batch (Sat-Sun) | Bangalore | Book Now |
19/10/2024 |
Data Science |
Online | Weekend Batch (Sat-Sun) | Bangalore | Book Now |
Students Reviews
I joined SevenMentor for a Data Science and Machine Learning Certification Course. The trainers are excellent. With proper guidance and doubt clearing sessions, I got trained. So, I understood data science concepts effectively. The staff is frank and polite and always helpful. They provide individual attention to students. I highly recommend this course.
- Girija Lokhande
I enrolled in SevenMentor for a Data Science and Machine Learning Certification Course. It is an excellent training institute. Trainers of the course are professional and well-experienced. They guide you very well. Trainers also provide opportunities like projects, internships, and jobs in many companies and startups. With their assistance, I got placement in a top MNC. Thanks to SevenMentor.
- Asmita Tingre
I joined SevenMentor for a Data Science and Machine Learning Certification Course. It was a great learning experience. I got a valuable understanding of all the concepts and also clear answers for my doubts. Trainers of the course give hands-on experience to students. I will approve this course to my friends also.
- Dilip Kanse
Course video & Images
Corporate Training
An efficient Corporate Training helps employees to perform their best as they practically know their duties and responsibilities. SevenMentor provides valuable Corporate Data Science Classes in Bangalore. You will understand how to use data to achieve business goals. With the help of trainers, you will learn to ask the right questions to begin the discovery process. You will learn to acquire, process, and clean data, integrate and store data. With Corporate Data Science Training in Bangalore, you will learn to apply data science techniques, such as statistical modeling, machine learning, and artificial intelligence. Trainers will make you understand Measure and improve results and present the final result to stakeholders. You can adjust based on feedback and solve a new problem by repeating the same process.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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