About this course
Welcome to Our Data Science Course with Placement Program
Overview
Unlock the potential of data and embark on a rewarding career in Data Science with our comprehensive course and placement program. Our program is designed to equip you with the skills, knowledge, and practical experience needed to thrive in the dynamic field of data science.
Course Highlights
1. Foundational Learning: - Solidify your understanding of data science fundamentals, including mathematics, statistics, and programming.
2. Advanced Topics and Machine Learning: - Dive deep into advanced machine learning algorithms and techniques, ensuring you are well-versed in the latest industry practices.
3. Specializations and Applied Learning: - Choose from optional specialization tracks, such as natural language processing (NLP) or computer vision, to tailor your learning
experience.
4. Professional Development: - Hone your resume-building and interview skills with personalized guidance from industry experts.
5. Real-world Projects: - Apply your knowledge through hands-on projects, collaborative team work, and industry-relevant simulations.
Placement Assistance
6. Resume Building and Interview Preparation: - Craft a compelling data science resume and prepare for interviews through mock sessions and constructive feedback.
7. Communication and Presentation Skills: - Develop effective communication skills to convey complex data findings to diverse audiences.
8. Industry Connections: - Attend guest lectures, workshops, and networking events to interact with professionals and gain insights into industry trends.
9. Mock Data Science Challenges: - Engage in simulated challenges and hackathons to sharpen your problem-solving skills under time constraints.
Placement Support Services
10. Internship Opportunities: - Access internship opportunities to gain practical experience and enhance your employability.
11. Placement Support: - Receive assistance with job applications, resume submissions, and interview coordination.
12. Company Networking Events: - Participate in networking sessions with potential employers, building connections that can lead to future career opportunities.
13. Capstone Project and Portfolio Development: - Showcase your skills through a comprehensive capstone project and build a professional portfolio for prospective employers.
Post-Placement Support
14. Continued Training: - Stay updated with post-placement training to remain competitive in the ever-evolving field of data science.
15. Alumni Network: - Join our thriving alumni community for ongoing support, networking opportunities, and collaboration.
Enroll Today
Transform your passion for data into a rewarding career. Enroll in our Data Science Course with Placement Program and take the first step towards becoming a successful data scientist. Your journey to a fulfilling career in data science starts here.
FAQ
1). What is the minimum qualification required to enroll in the Data Science Placement Program?
Individuals with a bachelor's degree or higher are eligible to enroll in our Data Science course.
10). Can beginners with no prior coding experience enroll?
Absolutely! Our course is designed to take you from zero to job-ready, regardless of your starting skills.
9). Who are the placement partners?
QualifyEd has partnered with leading tech companies, start-ups and agencies to provide exciting job opportunities.
8) What included with the course?
The course includes comprehensive live sessions, mentorship, project work, doubts support, quizzes, regular assignments, career & placement support and access to our community.
7). Are there any prerequisites for this course?
Basic understanding of computers and the Internet is recommended, but not a strict requirement.
6). Can a working professional enroll for this course?
Absolutely yes, working professional can enroll in this course.
5). How can I ask doubts?
You can either ask your doubts in live classes or you can schedule a meeting with the mentors under 24x7 doubt support.
4. What kind of salary can I expect after completing my placement course?
A fresher who’s completed their Data Science is most likely to draw a salary in the range of 3.0LPA - 10LPA.
3). What happens if I miss a session of the course?
Students do not have to worry about missing a session as our dedicated mentors will be ready to help them.
2). What is the Duration of the Data Science Placement Program?
The duration of your course will be approximately 6-9 months.
11). If I need to cancel my enrollment after starting the course, will I get a refund?
This is a job guarantee program and hence, we admit only those candidates whom we feel can grow professionally in their careers. We expect candidates to be 100% committed to it so, No refunds are applicable on this course.
Comments (4)
Reyansh Iyer
Student
14 Dec 2023 | 16:39
The program's focus on soft skills, including effective communication and collaboration, has been praised for preparing well-rounded data scientists
Arisha Sengupa
Student
19 Nov 2023 | 15:36
Data Science Placement Program provided a comprehensive and practical approach to preparing for real-world roles in data science
Nilofar
Student
18 Nov 2023 | 16:44
Data science is the study of data to extract meaningful insights for business
Module 1: Introduction to Python
5 Parts
- 6:00 Hr
- ✓ Overview of Python
- ✓ Interview Questions (Theory & coding based)
- ✓ What is procedural, functional Object-oriented
- ✓ Memory management in python
1:30 Hours
Session 2: Python Basics (part – 1)
- ✓ Interpreter vs compiler in python
- ✓ Different Applications where Python is Used
- ✓ Discuss Python Scripts on UNIX/Windows/Mac
- ✓ Values, Datatypes, Variables
- ✓ Assignments
1:30 Hours
Session 3: Python Basics (part – 2)
- ✓ Operands and Expressions
- ✓ Conditional Statements
- ✓ Assignments
1:30 Hours
Session 4: Python Basics (part – 3)
- ✓ Loops
- ✓ Command Line Arguments
- ✓ Assignments
1:30 Hours
Module-1 : Notes
.........
401.99 KB MB
Module 2: Data Structure & File Handling
6 Parts
- 9:00 Hr
Session 5: Tuples
- ✓ Interview Questions (Theory & coding based)
- ✓ Tuples and its methods
- ✓ Assignments
1:30 Hours
Session 6: Lists
- ✓ Lists and its methods
- ✓ Practice exercise
- ✓ Assignments
1:30 Hours
Session 7: Dictionary
- ✓ Dictionary and its methods
- ✓ Practice exercise
- ✓ Assignments
1:30 Hours
Session 8: Sets
- ✓ Sets and its methods
- ✓ Assignments
1:30 Hours
Session 9: String & I/O Functions
- ✓ Strings and related operations Discover Learning
- ✓ Python files I/O Functions
- ✓ Assignments
1:30 Hours
Session 10: Number & its operations
- ✓ Numbers
- ✓ Math & Its Operations
- ✓ Assignments
1:30 Hours
Module 3: Functions, OOPs, Sessions, Errors and Exceptions Topics
4 Parts
- 6:00 Hr
Session 11: Functions
- ✓ Interview Questions (Theory & coding based)
- ✓ Functions
- ✓ Function Parameters
- ✓ Global Variables
- ✓ Assignments
1:30 Hours
Session 12: Scope & Lambda Function
- ✓ Variable Scope and Returning Values
- ✓ Lambda Functions
- ✓ Object Oriented Concepts
- ✓ Assignments
1:30 Hours
Session 13: Python Libraries
- ✓ Standard Libraries
- ✓ Sessions Used in Python
- ✓ The Import Statements
- ✓ Session Search Path
- ✓ Assignments
1:30 Hours
Session 14: Errors & Exception Handling
- ✓ Package Installation Ways
- ✓ Errors and Exception Handling
- ✓ Handling Multiple Exceptions
- ✓ Handling Multiple Exceptions
- ✓ Handling Multiple Exceptions
- ✓ Assignments
1:30 Hours
Module 4: Introduction to NumPy
3 Parts
- 4:30 Hr
Session 15: Arrays in NumPy
- ✓ Interview Questions (Theory & coding based)
- ✓ NumPy Arrays
- ✓ Assignments
1:30 Hours
Session 16: Array Iteration
- ✓ Array Iteration
- ✓ Arrays Index Slicing
- ✓ Assignments
1:30 Hours
Session 17: Operations on Arrays
- ✓ Operations on Arrays
- ✓ Reading & writing Arrays on files
- ✓ Assignments
1:30 Hours
Module 5: Introduction to Pandas
3 Parts
- 4:30 Hr
Session 18: Series in Panda & Data frames
- ✓ Interview Questions (Theory & coding based)
- ✓ Series in pandas
- ✓ Data Frames
- ✓ Assignments
1:30 Hours
Session 19: Data frame & its operation
- ✓ Data Frame & its operation
- ✓ Missing Data
- ✓ Assignments
1:30 Hours
Session 20: Data input & output
- ✓ Groupby in Pandas
- ✓ Merging, joining & Concatenating
- ✓ Data Input & Outpu
- ✓ Assignments
1:30 Hours
Module 6: Introduction to Matplotlib
3 Parts
- 4:30 Hr
Session 21: Libraries and grid
- ✓ Interview Questions (Theory & coding based)
- ✓ Matplotlib library
- ✓ Grids, axes, plots
- ✓ Assignments
1:30 Hours
Session 22: styling
- ✓ Markers, Colors, fonts & Styling
- ✓ Types of Plots – bar graphs
- ✓ Assignments
1:30 Hours
Session 23: Diagram & Charts
- ✓ Types of Plots – bar charts, histograms
- ✓ Contour plots
- ✓ Assignments
1:30 Hours
Module 7: Data Manipulation & Operations
4 Parts
- 6:00 Hr
Session 24: Data Objects
- ✓ Interview Questions (Theory & coding based)
- ✓ Basics Functionalities of Data object
- ✓ Merging of Data Objects
- ✓ Assignments
1:30 Hours
Session 25: Concatenation of Data
- ✓ Concatenation of Data Objects
- ✓ Assignments
1:30 Hours
Session 26: Joins & its type
- ✓ Types of Joins on Data Objects
- ✓ Assignments
1:30 Hours
Session 27: Analyzing dataset
- ✓ Exploring & Analyzing Dataset
- ✓ Assignments
1:30 Hours
Module 8: Introduction to Mathematics
3 Parts
- 4:30 Hr
Session 28: Math algebra
- ✓ Interview Questions (Theory & coding based)
- ✓ Basic Mathematics
- ✓ Algebra Concept
- ✓ Assignments
1:30 Hours
Session 29: Calculus, Integration & Probability
- ✓ Calculus & Integration
- ✓ Probability
- ✓ Assignments
1:30 Hours
Session 30: Statistics
- ✓ Statistics
- ✓ Operation on Mathematics
- ✓ Assignments
1:30 Hours
Module 9: About Excel & Power BI
4 Parts
- 6:00 Hr
Session 31: Excel
- ✓ Interview Questions (Theory & coding based)
- ✓ Basics of Excel
- ✓ Data Insertion and its operations
- ✓ Assignments
1:30 Hours
Session 32: Designing & Visual Sync
- ✓ Basic Report Designing
- ✓ Visual Sync & Grouping
- ✓ Assignments
1:30 Hours
Session 33: Hierarchies, Filters, Modeling & visualization
- ✓ Hierarchies & Filters
- ✓ Bookmarks, Azure, Modeling & Visualization
- ✓ Assignments
1:30 Hours
Session 34: Query & DAX Functions
- ✓ Query & DAX Functions
- ✓ Cloud, Excel & RLS
- ✓ Assignments
1:30 Hours
Module 10: Resume Building Workshop (2 Hours)
1 Parts
- 1:30 Hr
Resume Building
1:30 Hours
Project: Real-time license plate recognition
1 Parts
- 1:30 Hr
Project: Real-time license plate recognition
1:30 Hours
Project 4: Hotel Booking Cancellation Rates
1 Parts
- 1:30 Hr
Hotel Booking Cancellation Rates
1:30 Hours
Project 5: Build a Movie Recommender System
1 Parts
- 1:30 Hr
Project : Build a Movie Recommender System
1:30 Hours
Module 11: Mock Placement Interviews 1 with Companies (For Frontend Developer)
1 Parts
- 1:30 Hr
Mock Placement Interviews
1:30 Hours
Module 12: Introduction to Machine Learning
15 Parts
- 22:30 Hr
Session 35: Work flow of Machine learning
- ✓ Interview Questions (Theory & coding based)
- ✓ About Machine learning
- ✓ Use-case & Work flow
- ✓ Types of algorithms
1:30 Hours
Session 36: Linear Regression algorithm
- ✓ Linear Regression algorithm
- ✓ Assignments
1:30 Hours
Session 37: Logistic Regression algorithm
- ✓ Logistic regression algorithm
- ✓ Assignments
1:30 Hours
Session 38: Decision Tree algorithm
- ✓ Decision Tree algorithm
- ✓ Assignments
1:30 Hours
Session 39: Support Vector Machine algorithm
- ✓ Support vector machine algorithm
- ✓ Assignments
1:30 Hours
Session 40: Naïve Bayes Algorithm:
- ✓ Naïve Bayes Algorithm
- ✓ Assignments
1:30 Hours
Session 41: K-Nearest Neighbour algorithm
- ✓ K-Nearest Neighbour
- ✓ Assignments
1:30 Hours
Session 42: K – Means Clustering
- ✓ K-means Clustering
- ✓ Assignments
1:30 Hours
Session 43: Random Forest Algorithm
- ✓ Random Forest Algorithm
- ✓ Assignments
1:30 Hours
Session 44: Apriori Algorithm
- ✓ Apriori Algorithm
- ✓ Assignments
1:30 Hours
Session 45: Principle Component analysis
- ✓ Principle component analysis
- ✓ Assignments
1:30 Hours
Session 46: Supervised learning
- ✓ Supervised Learning
- ✓ Assignments
1:30 Hours
Session 47: Un-Supervised learning
- ✓ Un-Supervised Learning
- ✓ Assignments
1:30 Hours
Session 48: Semi-Supervised learning
- ✓ Semi-Supervised Learning
- ✓ Assignments
1:30 Hours
Session 49: Dimensionality Reduction
- ✓ Dimensionality Reduction
- ✓ Assignments
1:30 Hours
Module 13: Reinforcement Learning
6 Parts
- 9:00 Hr
Session 50: Reinforcement learning
- ✓ Interview Questions (Theory & coding based)
- ✓ About Reinforcement learning
- ✓ Elements of Reinforcement learning
1:30 Hours
Session 51: Exploration vs Exploitation dilemma
- ✓ Exploration vs Exploitation dilemma
- ✓ Assignments
1:30 Hours
Session 52: Epsilon Greedy Algorithm
- ✓ Epsilon Greedy Algorithm
- ✓ Assignments
1:30 Hours
Session 53: Markov Decision process
- ✓ Markov Decision Process (MDP)
- ✓ Assignments
1:30 Hours
Session 54: Q value & Q learning
- ✓ Q values and Q Learning
- ✓ Assignments
1:30 Hours
Session 55: Concept of V values
- ✓ V values
- ✓ Assignments
1:30 Hours
Module 14: Databases (SQL Learning)
5 Parts
- 7:30 Hr
Session 56: overview of Database
- ✓ Interview Questions (Theory & coding based)
- ✓ What is Database
- ✓ SQL vs No-SQL
1:30 Hours
Session 57: SQL Server
- ✓ SQL Server (MySQL) Database
1:30 Hours
Session 58: CRUD operations
- ✓ CRUD operations
- ✓ Assignments
1:30 Hours
Session 59: Schema & keys
- ✓ Key, Schema & its properties
1:30 Hours
Session 60: operation with excel sheet
- ✓ Operation with Excel sheet
- ✓ Assignments
1:30 Hours
Module 15: Time series analysis & Model Selection
6 Parts
- 9:00 Hr
Session 61: Time series
- ✓ Interview Questions (Theory & coding based)
- ✓ About Time series analysis
- ✓ Components of time series
1:30 Hours
Session 62: White noise
- ✓ White Noise
1:30 Hours
Session 63: models & its types
- ✓ Models & its types
- ✓ Practice question
- ✓ Assignments
1:30 Hours
Session 64: stationarity, ACF & PACF
- ✓ Stationarity, ACF & PACF
1:30 Hours
Session 65: Model selection
- ✓ About Model Selection
- ✓ Cross – validation
1:30 Hours
Session 66: Boosting
- ✓ Boosting and its working
1:30 Hours
Module 16:
1 Parts
- 1:30 Hr
QNA with IT Industry Developer/Expert (2 Hours)
1:30 Hours
Module 17
1 Parts
- 1:30 Hr
Mock Placement Interview 2 with Companies
(For Backend Developer)
1:30 Hours
Module 18:
1 Parts
- 1:30 Hr
Mock Placement Interviews 3 with Companies
(For Full Stack Developer)
1:30 Hours
Module 19:
1 Parts
- 1:30 Hr
Mock Placement Interviews 4 with Companies
(For Frontend Developer)
1:30 Hours
Module 20
1 Parts
- 1:30 Hr
Final Placement Interviews in Companies
1:30 Hours
Project 1: Forecast E-commerce Sales
1 Parts
- 1:30 Hr
Project -1
Forecast E-commerce Sales
1:30 Hours
Project 2
1 Parts
- 1:30 Hr
Project: Analyse Airbnb Listings
Analyse Airbnb Listings
1:30 Hours
Project 3: Credit Card Fraud Detection
1 Parts
- 1:30 Hr
Credit Card Fraud Detection
1:30 Hours
4.75
51 Reviews
Reviews (51)
Neelam Upadhya
19 Nov 2023 | 12:54
This data science course is top-notch. Clear explanations, practical applications, and a concise format make it perfect for quick learning. Highly recommended for anyone stepping into the world of data science
Zara Siddiquie
9 Nov 2023 | 15:21
I recently completed the data science course offered by [QualiyEd and I must say it exceeded my expectations in every way. The curriculum was well-structured, covering a comprehensive range of topics from fundamental statistics to advanced machine learning techniques. The instructors were not only knowledgeable but also skilled at conveying complex concepts in a clear and engaging manner.
Zoya ansari
28 Nov 2023 | 15:35
Data Science is a multidisciplinary field that involves the use of scientific methods, processes, algorithms, and systems to extract insights and knowledge from structured and unstructured data.
Abhisehek Pal
1 Dec 2023 | 14:53
Data Science course was exceptional! Relevant content, hands-on projects, and great instructors. It provided a solid foundation for anyone diving into the field. Highly recommended
Soni
4 Dec 2023 | 15:42
Wonderfull, course quality content teacher are always explain in a superb way and tell how we can solve problems easily.
Advait Sharma
6 Dec 2023 | 16:44
Data Science course was a game-changer! Practical insights, hands-on projects, and expert guidance made complex concepts understandable. Highly recommend for anyone looking to thrive in the dynamic field of Data Science
Aanya Reddy
2 Nov 2023 | 17:18
Data Science course was a game-changer! Practical insights, hands-on projects, and expert guidance transformed my understanding of data. Highly recommend for anyone looking to thrive in the dynamic field of Data Science
Sadhna
13 Nov 2023 | 12:22
data science course is amazing and contents quality is good
Mohan
13 Dec 2023 | 12:45
helpful and informative course. The instructors demonstrated deep expertise in the field, providing credible and insightful guidance.
Shahid
12 Jul 2023 | 12:49
content and quality is excellent positive environment .
Salman
11 Dec 2023 | 12:58
data science is great course and Apart from imparting knowledge, the passion, dedication and genuine care of the teacher has left a lasting inspirational impact on every lucky student who has visited the classroom.
Rohit Kumar
13 Dec 2023 | 13:09
amazing course .Teachers encourage questions and creating curiosity an environment where intellectual exploration is valued.
Aarav Sharma
15 Dec 2023 | 13:23
The inclusion of real-world case studies provided valuable insights into how data science is applied in different industries.
UdayVerma
19 Nov 2023 | 15:04
content and course quality is great .Dynamic discussion forums facilitated meaningful interactions with peers and instructors."
Tara Khanna
19 Nov 2023 | 15:06
the instructors demonstrated a deep understanding of the subject matter, making complex concepts easily understandable."
Siddharth Rana
27 Nov 2023 | 15:11
I appreciated the diverse learning materials, from readings to videos, which catered to various learning preferences."
Shreya Mishra
26 Nov 2023 | 15:16
excellent course The instructors' responsiveness to queries and active participation in discussions fostered a sense of community."
Varun Sharma
26 Nov 2023 | 14:47
I was impressed by the instructors' expertise and their ability to communicate complex concepts clearly, making the course accessible to learners at various skill levels.
Ayaan Ansari
21 Nov 2023 | 19:03
Overall, this data science course is a commendable choice for individuals looking to build a strong foundation in data science, whether they are beginners or seeking to enhance their existing skills
Ananya Gupta
16 Nov 2023 | 15:59
The Data Science Placement Program is an intensive journey, equipping students with a strong skill set for the dynamic field of Data Science.
Arjun Gupta
15 Jul 2023 | 16:02
From comprehensive coverage of statistical concepts to practical experience with machine learning algorithms, the program strikes a balance between theoretical understanding and practical application.
Avni Kapoor
28 Oct 2023 | 16:04
This program goes beyond technical skills by incorporating soft skills training, preparing graduates for effective communication and collaboration in data science teams.
Bhavya Patel
25 Oct 2023 | 16:08
This program offers a comprehensive and practical approach to data science. Real-world projects and job placement support make it an invaluable experience for those aspiring to excel in the dynamic field of data science
Chetan Verma
21 Oct 2023 | 16:09
A career-centric program, the Data Science Placement Program covers the essentials of data science. Practical projects and job placement support create a seamless transition into the professional world of data science
Deepika Nair
17 Oct 2023 | 16:10
The Data Science Placement Program stands out for its holistic approach. Real-world applications, job placement support, and a focus on soft skills make it an ideal choice for those pursuing a career in data science
Dev Desai
11 Oct 2023 | 16:12
A transformative journey into data science, this program blends theoretical knowledge with practical projects. Job placement support adds a valuable dimension, preparing graduates for success in the competitive data science field
Diya Reddy
15 Oct 2023 | 16:13
From theory to practice, this program ensures graduates are well-equipped for a career in data science. Real-world projects and job placement support make it a valuable investment for future success
Esha Joshi
11 Oct 2023 | 16:15
Comprehensive coverage, practical applications and job placement support make the Data Science Placement Program a top choice for aspiring data scientists. A complete journey into the world of data science
Farhana
8 Oct 2023 | 16:16
A dynamic learning experience, the Data Science Placement Program covers the essentials of data science. The focus on real-world projects and job placement support ensures graduates are ready for the challenges of the industry
Gauri Mehta
4 Oct 2023 | 16:18
Entering the data science field, this program provided a transformative experience. The curriculum, hands-on projects, and job placement support create a well-rounded journey for aspiring data scientists."
Gautam Yadav
3 Sep 2023 | 16:19
A comprehensive and career-focused approach, the Data Science Placement Program covers the spectrum of data science. Real-world projects and job placement support ensure graduates are not just skilled but also job-ready
Ishaan Choudhary
18 Jul 2023 | 16:23
This course is a game-changer for aspiring data scientists. The curriculum coupled with practical projects ensures a strong foundation. Job placement assistance increases its value, making it a wise investment for career growth
Jaya Rathi
8 Sep 2023 | 16:38
The Data Science Placement Program is more than just a course; It is a career accelerator. Courses, industry projects and job placement assistance provide a seamless transition into the dynamic world of Data Science
Kabir Kapoor
11 Sep 2023 | 16:40
A transformative learning journey, the Data Science Placement Program equips graduates with both technical and soft skills. The practical application of knowledge through real-world projects sets it apart in the competitive field of data science
Kavya Sharma
15 Sep 2023 | 16:42
From a comprehensive curriculum to practical industry projects, this program offers a complete package for data science enthusiasts. The emphasis on job placement support ensures a smooth transition to a fulfilling career.
Krish Malhotra
19 Sep 2023 | 16:43
The Data Science Placement Program provides a holistic approach, covering everything from data analytics to machine learning. Real-world applications and job placement support make it a go-to choice for aspiring data scientists
Lavanya Reddy
22 Sep 2023 | 16:44
In-depth coverage of data science concepts, coupled with practical projects, makes this program invaluable. Job placement support and a focus on soft skills elevate it as a comprehensive and career-ready experience
Mihir Bhat
26 Sep 2023 | 16:47
If you want to do a course in Data Science then I don't think any other institute apart from here can offer it to you.
Nandini Jain
29 Sep 2023 | 16:49
Its career-focused journey, the Data Science Placement Program blends theory with practical projects, preparing graduates with the skills and knowledge needed to navigate the complex world of data science. Highly recommended for those aiming for success in the field
Neel Verma
21 Aug 2023 | 17:10
The Data Science Placement Program offers a dynamic mix of theory and application. From analytics to machine learning, graduates are equipped for success. The program's success in job placements is a testament to its effectiveness
Nikita Das
25 Aug 2023 | 17:12
Entering the world of data science, this program stands out with its emphasis on both technical and soft skills. The curriculum, paired with industry projects, ensures that graduates are well prepared
Om Mehta
29 Aug 2023 | 17:13
Comprehensive and practical, the curriculum covers the spectrum of data science. Real-world projects and job placement support make this program an essential stepping stone for a successful career in data science
Pooja Patel
17 Aug 2023 | 17:15
Data Science Placement Program excels with its hands-on approach, providing a robust skill set for real-world applications. Job-ready and industry-aligned, it's a transformative journey for aspiring data scientists
Pranav Kumar
22 Jul 2023 | 17:19
A comprehensive and career-focused program, the Data Science Placement Program covers the spectrum of data science. Real-world projects and job placement support ensure graduates are not just learners but contributors to the data science industry
Radha Menon
12 Aug 2023 | 17:24
Data Science Placement Program surpassed expectations, providing a deep dive into data science concepts. Real-world projects and job placement support make it a reliable pathway to a rewarding career in the dynamic field of data science
Rahul Suri
5 Aug 2023 | 17:25
This program offers a dynamic blend of theory and application, covering the essentials of data science. Real-world projects and job placement support make it a standout choice for those aspiring to thrive in the data-driven landscape
Rhea Singh
9 Aug 2023 | 17:26
Entering a data science placement program was a career-defining choice. The program's comprehensive curriculum, practical projects, and job placement support ensure that graduates are well-equipped for a successful journey in data science.
Rohan Malhotra
1 Aug 2023 | 17:27
A transformative journey into data science, this program seamlessly integrates theoretical concepts with practical projects.
Saanvi Shah
26 Jul 2023 | 17:28
The Data Science Placement Program is a holistic approach to data science education. The depth of the curriculum, coupled with practical applications and job placement support, ensures that graduates are well prepared for the demands of a data-driven industry.
Ayesha Khurana
15 Dec 2023 | 17:37
At Data Science Symphony, this program is the vehicle to harmonize theory and practice into a sweet career journey
Aditi Choudhury
9 Jul 2023 | 18:00
excellent course and amazing content.
excellent course .The data science course exceeded expectations with its well-crafted curriculum, blending theoretical foundations and hands-on projects. The instructors' expertise and the practical emphasis equipped me with valuable skills for real-world applications.