Data Science Course in Pune
SevenMentor is a leading Data Science Certification 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 Certification 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.
Best Data Science Training Institute in India SevenMentor is a reputable Training Institute in Pune offering comprehensive Data science courses in Pune. Located in the vibrant city of Pune, SevenMentor is dedicated to providing top notch training in data science to help individuals excel in this rapidly growing field.
Why Choose SevenMentor Institute for Data Science Training in Pune?
SevenMentor stands out as a leading provider of Data Science. Our specialized Data Science certification course in Pune are designed to cater to the needs of both data professionals and beginners who are looking to establish or enhance their careers in the field of big data. At SevenMentor Training Institute we conduct practical and industry-oriented lessons thanks to our qualified and motivated team of instructors. They will also help you improve your employment prospects by preparing you for real-world data science scenarios and difficulties. Our data science training program along with Python and R courses, gives students the knowledge they need to perform data analytics thoroughly. In addition to the foundational modules, our data science program at SevenMentor covers several essential techniques for predictive modeling, including logistic regression, decision trees, random forests, and support vector machines (SVM). Logistic regression is a statistical technique used for binary classification problems, estimating the probability of an event occurring based on independent variables. It is widely used in various industries for tasks like churn prediction, fraud detection, and customer segmentation.
Best Data Science Curriculum to prepare you for all Challenges:
Decision trees are versatile models that use a hierarchical structure to make predictions. They are intuitive and can handle both categorical and numerical data, making them valuable for tasks such as risk assessment and customer profiling. Random forests, an ensemble method, combine multiple decision trees to improve prediction accuracy. By aggregating the predictions of individual trees, random forests offer robust and reliable results, making them suitable for complex tasks like image classification and anomaly detection. Support Vector Machines (SVM) are a type of algorithm which are considered to be very powerful. These SVMs are used for both classification and regression algorithms. SVMs find optimal hyperplanes in high-dimensional spaces, effectively separating data points into different classes. They have proven effective in areas such as text classification, image recognition, and stock market analysis.
Throughout this Data Science Classes in Pune, you will delve into various topics, including data exploration, data visualization, descriptive analytics, and predictive analytics techniques. Our goal is to provide you with a strong foundation in statistics, mathematics, business intelligence, and exploratory data analysis, empowering you to apply data science skills across diverse industries. We cover dropouts, Max Pooling,Batch Normalisation, L1 and L2 regularization, Convolution, Transfer Learning, Word2Vec algorithm, Tf Idf algorithm, BOW and glove. We cover topics like Backpropagation, Gradient Descent, Stochastic Gradient Descent, Fourier Transforms, Activation Functions like Sigmoid, Tanh, Relu, Leaky Relu, Softmax. Optimisers like ADAM, Ada-grad, GD, SGD are also a part of the AI batch.
Integration and Adoption of New-Age Technologies is Done in Our Courses:
Additionally, powered by advanced AI technology, ChatGPT is an innovative language model developed by OpenAI. It provides human-like conversational capabilities, offering accurate and informative responses to a wide range of queries and enhancing the overall user experience. Furthermore, we also cover Neural Networks play a crucial role in data science, as they are powerful computational models inspired by the human brain. These networks are designed to learn and extract patterns from complex data, enabling data scientists to tackle sophisticated tasks such as image recognition, natural language processing, and predictive analytics with remarkable accuracy and efficiency. At SevenMentor, we follow the CRISP-DM methodology, covering all stages of the data science lifecycle in depth. You will have the opportunity to work on live projects in collaboration with our partner organization, gaining hands-on experience and applying the concepts learned to real-world situations. In addition to the comprehensive curriculum, our data science program at SevenMentor covers essential big data processing technologies such as Hadoop and Apache Spark.
Get Job Ready at by Learning at SevenMentor:
Hadoop is a distributed computing framework designed to handle large-scale data processing and storage. It utilizes a distributed file system (HDFS) and a MapReduce programming model to enable parallel processing across a cluster of computers. With Hadoop, data scientists can efficiently process and analyze massive datasets, making it an invaluable tool for tasks like data preprocessing, data transformation, and batch processing. Apache Spark is a fast and flexible big data processing engine that complements Hadoop. It provides an in-memory computing capability, enabling real-time processing and iterative algorithms on large datasets. Spark's rich set of libraries, including Spark SQL, Spark Streaming, and MLlib, empowers data scientists to perform complex analytics tasks, such as data exploration, machine learning, and stream processing, with enhanced speed and efficiency. We also offer hands-on Data Science training with real-world data sets, so you can gain the experience you need to land a job in data science. If you're ready to take the next step in your Data Science Career, then contact us today to learn more about our Data Science Courses in Pune. We'll help you build the skills you need to succeed in this exciting field.
You can Join this Data Science Course no Matter which stream you are from:
Our Data Science Course in Pune spans a comprehensive duration, allowing you to delve into critical techniques such as regression analysis, data mining, statistical analysis, machine learning, forecasting, AB Testing. By the end of the course, you will be equipped with the necessary skills to tackle data-driven challenges and make informed business decisions. Whether you have done BE, ME,BBA, BCA, BSC, B-TECH, BCOM, M-COM, MBA, MCA, Diploma, MCS, BCS, MSC, this Data Science Class is designed for everybody and anybody. Whether you are an IT engineer, data and analytics manager, business analyst, data engineer, or professional from banking, finance, marketing, supply chain, or HR, our data science training program is tailored to meet your specific needs. Enroll in SevenMentor's data science certification course in Pune and embark on a rewarding journey towards becoming a skilled data scientist. Gain expertise in Python, R, and a range of other tools and technologies essential for data science, including Hadoop, MapReduce, Apache Spark, NoSQL databases, cloud computing, Tableau, and SAS. Join us at SevenMentor Institute and unlock your potential in the exciting and fast-growing field of data science.
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.
1. Programming Foundations:
Master Python, the ubiquitous language for data science and web development.
Leverage JavaScript for dynamic web interfaces.
Develop robust web applications with Django, Flask, HTML, and CSS.
2. Data Manipulation and Analysis:
Acquire data handling prowess through SQL.
Utilize Excel for data visualization and analysis.
Dive deep into data exploration, transformation, and analysis with Pandas.
3. Machine Learning and Deep Learning:
Learn the art of predictive modeling and classification.
Implement state-of-the-art algorithms with scikit-learn and TensorFlow.
Create neural networks for image and text analysis.
4. Data Visualization:
Craft informative and interactive data dashboards using Power BI.
Showcase data insights with compelling visualizations.
5. Cloud Computing with AWS:
Harness the power of Amazon Web Services (AWS) for scalable and cost- effective solutions.
Deploy machine learning models and web applications in the cloud.
6. Containerization with Docker:
Containerize your applications for easy deployment and scaling.
Streamline development and deployment processes with Docker.
Projects We Cover
1. Chat-bot From Scratch.
2. Zomato Data Analysis.
3. Automatic Attendance System.
4. Red Light Green Light Game.
5. Feedback Detection From Hand Gestures.
Course Benefits:
Hands-on experience with real-world projects.
Comprehensive understanding of data science, machine learning, and web development.
Skill proficiency in Python, SQL, JavaScript, HTML, CSS, and more.
Cloud computing expertise with AWS.
Docker containerization for efficient application deployment.
Practical knowledge of web frameworks like Django and Flask.
Data visualization mastery with Power BI.
A solid foundation for career opportunities in data science, web development, or cloud computing.
In this comprehensive program, you'll embark on an enriching learning journey to acquire the skills and knowledge essential for excelling in the realms of data science and web development. From mastering programming languages like Python and JavaScript to navigating the intricacies of cloud computing with AWS and containerization with Docker, this program equips you with a versatile skill set. Whether you are a budding data scientist, a web development enthusiast, or a professional looking to expand your horizons, this course will empower you to navigate the evolving landscape of data-driven decision-making and web application development. Join us and take your first step toward a rewarding career in these exciting fields.
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. The application of analytical procedures, which are typically applied uniformly across fields, is typically the primary objective of data science courses. 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 of Data Science
Python
•What is Python and history of Python?
•Installing Anaconda, Jupyter Notebook
•First Program
•Python Identifiers, Keywords and Indentation Comments
Control-Flow Statements and Data Types
•If-else
•Elif
•While loop
•For loop
•Range Function
•Data Types in Python
(Functions)
•What are functions in python?
•Defining and Calling Functions
•Inbuilt Functions
•User Defined Functions
•Lambda Function
•Split Function
•Strip Function
•Map Function
•Filter Function
•Format Function
•Code Walkthrough on User Define
Functions (Object Oriented Programming)
•Why do we need Object Oriented Programming?
•What is a class?
•What is an object?
•What is Self?
•Constructors
•Global and local variables
•Static and Dynamic Variables
•Abstraction
•Inheritance
•Encapsulation
•Polymorphism
•Code Walkthroughs on OOP
Exception Handling and GUI
•Why do we need to handle exceptions?
•Errors in Python
•Compile-Time Errors
•Runtime Errors
•What is Exception?
•try....except...else
•try-finally clause
•Raising an exceptions
•User Defined Exceptions
•Graphical User Interface in python
• Tkinter
•Button Widget ,Label Widget and Text Widget
Miscellaneous
•SQL connection with Python using SQLITE
•Generators and Decorators
•Numpy Library for Data Analysis
•Code Walkthrough On Numpy Library
•Pandas Library for Data Analysis
•Code Walkthrough On Pandas Library
•Matplotlib Library for Data Analysis
•Code Walkthrough On Matplot lib
Library
•Revision Sessions
•Assignment Discussions
•Project
SQL
•What is SQL?
•Why do we need SQL?
•What is DataBase Management System?
•Types of DBMS
Execution Of SQL query
•Difference Between SQL and MYSQL
•Introduction to MySQL
•Installation of MySQL server
•Download sample database
•Load sample database to work.
Basic SQL Keywords
•Basic SELECT Statement •Limit/Offset
•OrderBy
•Distinct
•Where
•Comparison Operators
•Null
•Logical Operators
•Aggregate Operators(Count, Max, Min, Avg, Sum)
•Group By
•Having
•Order Of Keywords
Wildcard Operators
•Case When Statements
JOINS
•What are Joins?
•Inner Join
•Outer Join
•Left Join
•Right Join
•Self Join
•SubQueries/NestedQueries/Inner
Queries
•Window Functions
•Stored Procedures and Functions
•Triggers and Views
•Common Table Expressions
DSA
(Big O, Theta, Omega Notations)
• Notations Big Omega, Theta Notations
• Relationships Between Various Notations
• Best, Worst and Average Case Analysis
Sorting Algorithms
• Insertion Sort
• Merge Sort
• Quick Sort
• Selection Sort
Searching Algorithms
• Linear Search
• Binary Search
Data Structures
• Arrays
• Linked List
• Stack and Queues
• Binary Search Tree
• Trees
• Hashing
• Graphs
• AVL Trees
Algorithms
• Recursion
• Dynamic Programming
• Greedy Algorithm
Probability and Statistics
•Why do we need to learn Probability and Statistics?
•Descriptive Statistics Central Tendency(Mean/Median/Mode)
•Deviation(Standard Deviation/Variance)
•Population and Sample
•Distributions
•Why do we care about Distributions?
Distributions and Various Tests
•What is Random Variable?
•Discrete and Continuous Random Variable
•Normal Distribution/Gaussian Distribution
•PDF and CDF of Gaussian distribution
•Uniform Distribution
•Q-Q Test
•K-S Test
•What is Sampling?
•Types of Sampling
Inferential Statistics
•Correlation Vs Causation
•Hypothesis Testing
•Confidence Interval
•Permutation Resampling Test
•A/B Testing
Machine Learning
Industry Case Studies
•Case Study-1
•Case Study-2
•DataScience Vs DataAnalysis Vs
MachineLearning Vs DeepLearning
•Introduction to Numpy, Pandas, Scikit Learn and Matplotlib Library
Importing data from different Sources
Basic Terminologies and Basic Maths
•Traditional Programming Vs Machine Learning
•Types of Machine Learning Problems
•Supervised and Unsupervised Learning
•Classification and Regression
•Overfitting and Underfitting
•What is a point and a Vector?
•Distance between 2 points, Distance between a point and a line.
•Equation of a line, Equation of a Plane, Equation of a hyperplane.
•Dot product and Projection of one vector onto another.
•Basics of Differentiation
Supervised Learning Algorithms
•KNN(K nearest Neighbour) Algorithm
•Geometric Intuition of KNN
•Mathematical Intuition of KNN
•Limitations of KNN
•What are Hyper-parameters?
•Hyper-parameters Tuning
•Why do we need Cross-Validation?
•Code Walkthrough on KNN
•Naive Bayes algorithm
•What is Conditional Probability
•What is Naive about Naive Bayes?
•Geometric Intuition of Naive Bayes
•Mathematical Intuition of Naive Bayes
•Limitations of Naive Bayes
•Hyper-parameter Tuning in Naive Bayes
•Code Walkthrough of Naive Bayes
•Introduction to Logistic Regression
•Geometric Intuition of Logistic Regression
•Mathematical Intuition of Logistic Regression
Why do we need sigmoid function?
•Regularisation(L1 and L2)
•Limitations of Logistic Regression
•Code Walkthrough of Logistic Regression
•Introduction to Linear Regression
•Geometric and Mathematical Intuition
Assumptions of Linear Regression
•Limitations of Linear Regression
•Code Walkthrough of Linear Regression
•Optimisation Theory
•Convex and Non Convex Functions
•Gradient Descent
•Stochastic Gradient Descent
•Introduction to SVM(Support Vector Machines)
•Geometric Intuition
•Mathematical Intuition
•Hard and Soft SVM
•Kernalisation in SVM(Radial Basis Function)
•Limitations of SVM
•Code Walkthrough of SVM
•Decision Tree
•Geometric Intuition of Decision Tree
•Mathematical Intuition of Decision Tree
•Entropy and Gini Impurity
•Information Gain
•Limitations of Decision Tree
•Code Walkthrough of Decision Tree
•What is Ensembles
•Bagging and Boosting
•What is Ensembles?
•Bagging and Boosting
•Concept of Bootstrapping
•Introduction to Random Forest
•Variance and Bias
•Geometric Intuition of Random
Forest
•Why Random Forest is so famous?
•Code Walkthrough of Random Forest Performance Metric and Different Situations in Supervised Learning
•Accuracy
•Why Accuracy as a metric will fail in most of the real world cases?
•Precision and Recall
•F1 Score
•Confusion Matrix
•Log-loss
•ROC-AUC Curve
•RMSE(Root Mean Square Error)
•R2(Coefficient of Determinant)
•MAD(Median Absolute Deviation)
•How to Handle Outliers in the data?
•How to deal with the imbalance data?
•How to handle categorial data?
•Scaling of Features
•Curse of Dimensionality
Unsupervised Learning and Dimension Reduction
•What is Unsupervised Learning?
•What is Clustering?
•K-Means Clustering
•Hierarchal Clustering
•Why Dimensions Reduction?
•PCA(Principle Component Analysis)
•Mini Project
Deep Learning
History of Neural Networks
•Who invented Neural Network?
•What is the intuition of a Neural Network?
•What is a perceptron?
•Connecting Logistic Regression,
Linear Regression with Perceptron
•Multi Layer Perceptron
•Training of a Perceptron
MLP and Backpropogation
•Notation
•Training a MLP:Chain Rule
•Training a MLP:Memoization
•Backpropogation
•Activation Functions
•Sigmoid
•Tanh
•RELU
•Vanishing gradient
Deep Multi Layer Perceptrons
•Dropout and Regularisation
•Batch Normalisation
•Batch SGD with Momentum
•Adam
•Softmax and Cross-Entropy
•How to train Deep MLP?
•Tensorflow and Keras Overview
•Install Tensorflow
•Softmax Classifier on MNIST data
•Code Walkthrough of MLP
•Hyper-parameter Tuning in Keras
Introduction to CNN
•Introduction to CNN(Convolution Neural Network)
•What is Convolution?
•Convolution:Padding and Strides
•Convolution over RGB images
•Max Pooling
•CNN Training
Introduction to CNN Continues
•AlexNet
•VGGNet
•Residual Network
•Inception Network
•What is Transfer Learning?
•Code Walkthrough of CNN
Introduction to RNN
•Why RNN(Recurrent Neural Network)?
•Training RNN
•Types of RNN
•Need of LSTM
•LSTM(Long Short Term Memory)
•Deep RNN
•Bidirectional RNN
•Code Walkthrough of RNN
Introduction to NLP
•What is NLP(Natural Language Processing)?
•BOW(Bag of Words)
•Text Preprocessing:Stemming and Lemmatisation
•Stop Word Removal
•Tokenisation
•Unigram, Bigram, Ngrams
•TF-IDF
•Weighted TF-IDF
•Word2Vec(W2V)
•Code Walkthrough of NLP Techniques
•Introduction to Transformers and BERT
•GPT Models
•Mini Project
HTML
•Document Structure
•HTML Tags
•Forms
•Semantic Markup
CSS
•Selectors
•Box Model
•Layout and Positioning
•Responsive Design
•Styling and Typography
JavaScript
•Variable and Data Types
•Control Structures
•Functions
•DOM Manipulation
•Event Handling
•Asynchronous JavaScript
•Fetching Data
•Error Handling and Debugging
AWS+DOCKER (DEPLOYMENT)
•AWS Account Setup
•Amazon EC2
•Amazon VPC
•Amazon S3
•Amazon Lambda
•Amazon API Gateway
•AWS CloudFormation
Docker
•Introduction to Docker
•Docker Images and Containers
•Docker Compose
•Docker Networking
•DockerFile and Containerisation
•Docker Swarm or Kubernetes
Flask and Django(Backend)
Models and Databases
•Views and URLs
•Templates and Static Files
•Forms and Validation
•Authentication and Authorisation
•Django Rest Framework
COURSE USP
• 5 Industry Standard Projects
• 30+ Assignments
• Query Resolution Team
• Personal Mentorship
• 15+ Soft Skills Sessions
• Weekly Coding Assignment and Discussion.
• Placement Assistance
• Hackathons
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 instructors support students in finishing their assignments and enable them to get ready for interview sessions at 6 leading MNCs. 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
- Conducted training sessions for almost 2,000 students every year.
- Trainers are experts in their fields and have strong theoretical and practical knowledge.
- Subject matter experts with complete up-to-date knowledge of applications of real-world industries
Data Science Exams & Certification
SevenMentor Certification is Accredited by all major Global Companies around the world. We offer to undergraduates as well as professional trainees following the theoretical and practical courses.
Our certification at SevenMentor is accredited worldwide. With the support of this qualification, you can land top jobs in renowned MNCs throughout the world, increasing the importance of your resume. Following successful completion of our classroom instruction and practice-based assignments we will grant the Data Science certification to students.
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 |
---|---|---|---|---|---|
20/11/2023 | Data Science | Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
21/11/2023 | Data Science | Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
25/11/2023 | Data Science | Classroom / Online | Weekend Batch (Sat-Sun) | Pune | Book Now |
25/11/2023 | Data Science | Classroom / Online | Weekend Batch (Sat-Sun) | Pune | Book Now |
Students Reviews
Completed Data Science certification 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 certification From Sevenmentor, the experience, trainers are best and working professionals. Best institute for Data Science training in pune. Go for SevenMentor.
- Sonam Bajaj
Course video & Images
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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