Home » Data Science AI Machine Learning Hyderabad Classroom
Quality Thought‘s classroom program provides practical data science training in Hyderabad for learners who want to build skills in Python, statistics, machine learning, deep learning, generative AI and real-world data science projects. The program is designed for classroom learners who want instructor guidance, hands-on practice and structured learning to prepare for data science and AI-related career opportunities. Explore More Courses from Quality Thought to discover additional career-focused training programs.
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Choose a learning format and schedule that fits your lifestyle
Everything you need to become a successful full-stack developer
Work on real-world projects from day one with industry use cases
Learn from industry professionals with 10+ years of experience
Dedicated placement cell with assistance until you get hired
Get certified and boost your resume with recognized credentials
Access to learning materials and recorded sessions
Weekly mock interviews to prepare you for real job scenarios
Professional resume preparation and LinkedIn profile optimization
Communication, aptitude, and personality development sessions
● Pay After Placement Options Available
● Flexible Payment Plans
● 6-12 Months LMS Access
● Doubt Clearing Sessions
● 24/7 Learning Support
● Mega Job Drives
Select the program that best fits your career goals and availability
Best for: Beginners & learners
Best for: Job seekers aiming for placements
Best for: Learners seeking internship + placement assistance
Not sure which program to choose? Contact our counselors for a free consultation. We’ll help you select the best program based on your background, goals, and availability.
Comprehensive modules covering every aspect of AI Data Science
Basics of Statistics
Types of Statistics
Population & Sample
Central Tendencies
Percentiles & Dispersion
Statistics implementation with Python-I
Range, Sample variance and Standard Deviation
Correlation &Causation
Hypothesis Testing
Parametric and Non Parametric Tests
What is probability?
Importance of Probability in ML
Basics of Probability
Random Variables
Probability Distributions
Maximum Likelihood
Bayes Theorem
Information Theory
Cross Entropy
Information Gain
Scalar, Vector
Vector Addition
Vector Subtraction
Multiplying a vector by a Scalar
Dot Product of two Vectors
Cross Product of two Vectors
Scalar, Vector and Matrix
Different types of Matrix
Transpose of a Matrix
Matrix Addition, Subtraction
Eigen Values of Eigen Vectors
Descriptive Statistics
Inferential Statistics
Data Distributions
Correlation and Covariance
Handling Missing Values
Data Visualizations Scatter Plots and Heatmaps
Note: Common Syllabus for Cocubes, Elimus, AMCAT & TCS NQT & for all other MNC companies
Intensive / Internship Training with 20+ Realtime Projects
Everything you need to build practical Data Science and AI skills
Willingness to engage in Aptitude, Soft Skills & Interview Readiness sessions
Commitment to complete Full Day Training or Intensive/Internship program schedules
Special Note: This classroom program is suitable for learners planning a career change to data science, professionals progressing from data analyst to data scientist, and candidates looking for practical industry exposure through a data science internship course.
Your success is our priority. Here’s what makes us the best choice for your career growth
Years Experience
Students Trained
Hiring Partners
Placement Rate
Established training institute with proven track record of producing industry-ready professionals
Learn from trainers with 10+ years of real-world industry experience in leading tech companies
Dedicated placement cell with tie-ups with 500+ companies. We support you until you get hired
Updated syllabus covering latest technologies and industry best practices with hands-on projects
Not just training, but complete career transformation with soft skills and interview preparation
Flexible payment options including pay after placement for eligible candidates
Multiple batch timings to suit working professionals, students, and freshers
Work on real client projects during internship at Ramana Soft IT company
Quality Thought supports both individual learners and organizations through practical learning programs, including customized data science corporate training and structured career-focused programs for candidates exploring a data science job guarantee course.
Get industry-recognized certification that validates your skills and boosts your career prospects
Data science with AIML
This certifies that
[Your Name]
has successfully completed the
Data science with AIML
Training Program
Ameerpet, Hyderabad
QT-2024-XXXX
Our certificates are recognized by leading companies and add credibility to your resume
Proves your expertise in Data Science with AI in all mentioned technologies
Increases your chances of getting hired and helps in salary negotiations
Get both digital certificate for online sharing and physical certificate for framing
Upon successful completion of training program
For I&I program from Ramana Soft IT Company
For major projects completed during training
Find answers to common questions about our Data science with AI training program
The Quality Thought data science classroom is located at Flat No. 302, 3rd Floor, Nilgiri Block, Aditya Enclave, Ameerpet, Hyderabad, Telangana 500016. Learners attending the data science with AI and machine learning course can benefit from instructor-led classroom sessions and practical learning in a structured environment.
The centre is located in Aditya Enclave, Ameerpet, within walking distance of Ameerpet metro station, which is served by both the Blue and Red lines. Learners preparing for machine learning engineer jobs USA can attend the classroom program and build practical machine learning skills through instructor-guided training.
Please confirm the current weekday and weekend classroom timings before publishing. Learners comparing options for the best data science course 2026 should also consider the available batch schedule, classroom format and practical project exposure when choosing a program.
Yes, the Ameerpet centre provides lab systems for instructor-guided sessions. Confirm the current lab capacity and whether laptops may be used before publishing. Learners can use the practical environment to work on exercises and a data science real time project as part of their learning.
Confirm whether individual notebook and project review time is included in the classroom format, since guided feedback can be valuable for learners building practical skills. This approach can be particularly useful for students considering a data science course for freshers and looking to strengthen their understanding through hands-on practice.
Both formats can cover an identical curriculum. Classroom learning can suit learners who want immediate help with models, notebooks and practical exercises, while online learning can provide greater flexibility. A machine learning course for working professionals may be especially useful when the learning format needs to fit around an existing work schedule.
Please confirm the current mode-switching policy with the admissions team before publishing. Learners choosing a structured data science bootcamp course should understand the available classroom and online options and any conditions for changing the learning mode during the program.
Confirm the current cap on classroom batch size before publishing rather than assuming a fixed number. A suitable batch size can help learners receive instructor guidance and practical support while working toward their data science certification.
Confirm with the current cohort whether Telugu or bilingual instruction is offered alongside English-medium teaching.
Yes, call +91 9963486280 to arrange a visit, sit in on a demo session and see the lab setup before deciding.
Don’t wait! Join thousands of successful students who transformed their careers with Quality Thought. Your journey to mastering Python, AI, Machine Learning, Deep Learning, NLP, and MLOps – and landing roles as a Data Scientist, AI Engineer, or ML Engineer – starts here.
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