Data Science Course in Pune
SevenMentor is a leading Data Science course in Pune for gaining hands-on experience in data analysis, machine learning, and data visualization. Enhance your skills and become a successful data scientist. Comprehensive Data Science curriculum with interactive lectures and practical projects.
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Data Science Course in Pune
What is Data Science?
Best Data Science Course in Pune, has always been a vital component of disciplines. If we look at any business data, guidance has always been a task. Nowadays, almost every industry is digitizing. Furthermore, data processing in sensors, weblogs, mobile phones, and electronics has increased in recent years. Admit it or not, you'll find wealth in fresh innovations that are emerging solely to manage this flood of data. Led by industry experts, our comprehensive Data Science Training in Pune covers Python, R, SQL, and popular data science libraries.With the help of Data Science specialists can identify trends and frequencies in all types of data, allowing the business harvest value to increase. It would not be an exaggeration to say that information researchers will shape the future. With placement assistance and real-world case studies, you'll be prepared for lucrative data science roles. Don't miss this opportunity to excel in the booming field of Data Science Classes in Pune
Benefits of joining the Data Science Sector:
Data science is one of the fastest-growing fields in the world, with a projected growth rate of 15% by 2029. According to Glassdoor, the data scientist is the #1 job in America in 2022, based on job satisfaction, salary, and job openings.
Data science jobs are high-paying, with an average salary of $113,000 per year in the US.
Data science jobs are in high demand across a wide range of industries, including finance, healthcare, tech, and retail.
Data science jobs are highly varied, with opportunities ranging from data analyst to machine learning engineer to data architect.
Data science jobs often require a combination of technical and soft skills, including programming, statistics, communication, and problem-solving.
Many data science jobs offer flexible work arrangements, including remote work options and flexible schedules.
Data science jobs can be highly rewarding, offering the opportunity to work on cutting-edge projects that have a real impact on people’s lives.
The demand for data scientists is projected to continue growing in the coming years, with an estimated 650,000 new job openings by 2028.
Machine learning and artificial intelligence (AI) will play an increasingly important role in data science, with applications ranging from natural language processing to computer vision.
The Internet of Things (IoT) will generate vast amounts of data, requiring new tools and techniques to extract insights and value from it.
Sectors that have been impacted by Data Science Training:
Data science is now an essential component of many businesses, assisting companies in making better decisions, improving consumer experiences, and streamlining processes. Data science is transforming the manner in which we do business, from anticipating consumer habits to detecting crime. Here are several fascinating instances of how data science is currently applied in various industries:
Finance: In the finance industry, data science is being used to detect fraud and improve risk management. By analyzing transactional data, banks can identify suspicious activity and prevent fraud before it occurs. Data science is also being used to develop predictive models to assess credit risk, helping banks make better lending decisions.
Retail: Retailers are using data science to better understand their customers and improve their shopping experience. By analyzing customer data, retailers can identify buying patterns, preferences, and trends, and tailor their marketing campaigns accordingly. Data science is also being used to optimize supply chain operations, helping retailers reduce costs and improve efficiency.
Healthcare: In the healthcare industry, data science is being used to improve patient outcomes and reduce costs. By analyzing patient data, doctors can identify patterns and trends, and make more accurate diagnoses. Data science is also being used to develop predictive models to identify patients at risk of certain diseases, allowing doctors to intervene early and provide more effective treatment.
Sports: Data science is also being used in the sports industry to improve team performance and enhance the fan experience. By analyzing player data, coaches can identify areas for improvement and make more informed decisions on player selection and game strategy. Data science is also being used to develop predictive models to forecast game outcomes, allowing fans to make more informed betting decisions.
Why should you join SevenMentor Institute in Pune for the best Data Science Course?
Our Data Science training is also offered at locations around the Pimpri Chinchwad areas. Learners can take advantage of this chance by enrolling in the best Data Science Classes in Pimpri Chinchwad. We offer the greatest training facility with the best facilities, and as a result, the Institute has received positive feedback for our Data Science Courses in Pimpri Chinchwad city.. Join us at the Certificate Training for Data Science in Pimpri Chinchwad to learn about data extraction and examination, Big Data, Hadoop, MapReduce, and a number of other subjects.
Data Science Training in Pune delivers the best education to individuals and has a long history of achievement in the field of IT education. Students can learn to undertake Data Mining practicals because it enables them to harvest data of all types. We educate about structured or unstructured data, using methodologies, scientific procedures, computations, and algorithms for gathering knowledge. Our team of competent and experienced educators has built a sophisticated Data Science Curriculum to advance pupils in every aspect. There has been an incredible proliferation of data in today's generation.
The aforementioned Data Science curriculum is designed for fresh graduates and encompasses job-critical topics such as R, Python programming, Machine Learning algorithms, and NLP conceptual frameworks. We also have Data Visualisation Training with Tableau. We cover every aspect of data science in-depth, using a hands-on educational model involving live sessions from international professionals, pragmatic labs, IBM Workshop, and corporate projects. Students will also complete at least four Capstone projects and over a dozen job assignments using industrial data sets from Uber, Flipkart, Amazon, and Netflix. So enroll at SevenMentor Institute for Data Science Course in Pune and get ready for important hiring in prominent organizations.
Why Should You Choose SevenMentor Institute for a Data Science Course?
1. If you are undecided about taking Data Science Courses in Pune, read the benefits of our course at SevenMentor Institute in Pune.
2. Our instructors are skilled experts who are currently working with leading MNCs on real-world initiatives that help students learn more effectively.
3. We offer job-oriented Data Science Training in Pune that guarantees students chances by supplying them with a worldwide certification.
4. Our team guarantees that students undertake real-world projects so that they can learn rapidly and improve their abilities.
5. We have a recruitment staff who are available around the clock to present new options to students so that every student is placed without fail.
6. We provide the best infrastructure facilities, such as sophisticated computers and labs, to ensure that none of our pupils suffer difficulties while learning the data science curriculum.
7. We also provide students at the visiting center with information about data science and any other connecting streams to make a wise and informed decision to enroll in the data science sector.
'A' grade Training for Data Science aspirants near you:
Aspirants can enroll in Data Science Classes in Pune at SevenMentor, which has a strong team of instructors that provide the greatest educational experience. Whether you believe it or not, the market is now fully data-driven. It has automatically created an opportunity for a data scientist with the expertise to drive this proportion of data's worth. The majority of the educators at our Data Science course in Pimpri Chinchwad are experienced experts who have led huge training exercises. The instructors are also Big Data and Data Science experts who have garnered substantial experience in their different professions in the Data Analytics sector.
A majority of firms argue that their customer data is valuable and must be preserved and has a high value. This is why they are continually hiring data scientists to manage the data and extract useful information. A large number of professions have been created in recent years as a result of the growing craze of Data Science. It is an enjoyable and lucrative profession for today's youngsters and will continue to be the same for future generations to come. If you want to be a Data Scientist, you should receive adequate Data Science certification in Pune from a reputable institute.
What are the top reasons to take the data science certification course?
Almost all established and emerging sectors support data science. This has created a plethora of appealing work opportunities. The best part of getting a Data Science Certificate in Pune is that you don't have to go to college to become a Data Scientist. They select batches that are adequate for obtaining certification and can rather choose an excellent institute. Data Science courses in Pune are provided by institutes such as SevenMentor to applicants who can be chosen by experts. As a result, acquiring a Data Science certification assists them in rising to the top of the organizational structure, which provides the data scientist with a wide range of chances and opens up numerous career pathways.
SevenMentor Institute's training is built by the top trainers and specialists, giving our coaching a first-rate education. We have established a novel approach that employs cutting-edge techniques. The Data Science Certificate Training assists everyone engaged in obtaining a one-of-a-kind and satisfactory accreditation from SevenMentor. The best job placement and IT firms in India have recognized our accreditation for data science. You are going to be able to obtain certification as well as excellent employment chances in Data Science and other areas of data processing technology. With our ideal Data Science Certification Classes in Pimpri Chinchwad, you will get a fantastic learning experience. This also includes current industry standards for Data Management, Data Processing, and Data Visualisation. Our Data Science course will help you maintain a competitive advantage and advance in the competition.
Online Classes
SevenMentor is the Best Online Data science training institute in Pune with an incredible increase of data in the generation, Data Science has experienced tremendous acceptance. Through the years Data Science has become an essential inclusion in sectors of Land management, business analytics, and commerce sectors amongst others. Since several Fields have implemented data science in the In recent past, it has attained outstanding recognition. SevenMentor training Institute is recognized as the world’s leading organization offering Online Data Science course in Pune allowing candidates to land a good job worldwide. Data Science usually focuses on the Utilization of statistical methodologies which are usually applied in a similar manner regardless of the field. SevenMentor Certification is Accredited by all major Worldwide Companies around the world. We provide after the conclusion of the Practical and Theoretical sessions to Professionals. Online Data Science Classes in Pune are taught by experienced instructors who have years of experience in the field of data science. They will guide you through the concepts of data science from the basics to advanced-level topics. With our interactive online classes, you will have the opportunity to ask questions, get feedback, and work on real-life projects. We offer flexible schedules to accommodate your busy life, and our classes are accessible from anywhere in the world. You can join our classes at any time and from anywhere, as long as you have an internet connection. Our classes are designed to help you build your skills, whether you are a beginner or an experienced data scientist. At the end of our course, you will have the skills and knowledge you need to start your career in data science. You will learn the tools and techniques used by data scientists to analyze, visualize, and interpret data. You will also have the opportunity to work on real-life projects and gain practical experience.
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
- 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
- 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
- Freshers
- BE/ Bsc Candidate
- Any Engineers
- Any Graduate
- Any Post-Graduate
- Working Professionals
Batch Schedule
DATE | COURSE | TRAINING TYPE | BATCH | CITY | REGISTER |
---|---|---|---|---|---|
05/06/2023 | Data Science | Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
06/06/2023 | Data Science | Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
03/06/2023 | Data Science | Classroom / Online | Weekend Batch (Sat-Sun) | Pune | Book Now |
03/06/2023 | Data Science | Classroom / Online | Weekend Batch (Sat-Sun) | Pune | Book Now |
Students Reviews
Completed Data Science Training from Sevenmentor after completing my Graduation. It was very nice experience to learn from here. Good infrastructure good teaching staff , n it is worth in fees they charge
- Suraj Khurana
I have done Data Science classes from SevenMentor. It was a nice experience. All the topics were done theoritically & practically on real devices. Trainers are also very knowledgeable & helpful. Availability of lab 24*7 also helped a lot. Would love to refer everyone who wanna make career in Development….
- Mrunal Sawankar
Completed Data Science classes From Sevenmentor, the experience, trainers are best and working professionals. Best institute for Data Science training in pune. Go for SevenMentor.
- Sonam Bajaj
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Corporate Training
SevenMentor Corporate Data Science training in Pune is an integrated Application in Data Science and Machine Learning designed for professionals pursuing a career in Analytics, Artificial Intelligence, Data Visualization, Statistics, and Data Scientist. Data Analyst our personalized Data Science, and Machine Learning Training Courses in Pune are designed by Senior Data Scientists who have vast experience in the industry. Our Corporate Data Science training will help you achieve proficiency in data analysis, machine learning algorithms trees, Regression Models, K-Means Clustering, deploying R computing, and connecting R with the Hadoop framework on case studies and real-world projects. These skills will allow professionals to prepare for the function of the Data Scientist and increase the revenue of your organization. Your employees must embrace modern data techniques so as to understand your most vital strategic initiatives. SevenMentor's Corporate Data Science Courses are designed and delivered by experienced Senior Data Scientists to try to do just that. With proven instructional excellence and outcomes, our Corporate Data Science classes will enable your teams to right away implement what they learn, so they can do what matters most - tackle your most challenging business problems.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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