Quality Thought‘s data science program is designed for freshers and final-year students who want to build practical skills in Python, statistics, machine learning, deep learning, generative AI and real-world data applications. This data science course for freshers helps learners develop job-ready technical skills and practical project experience. Explore More Courses from Quality Thought to find additional career-focused training programs.
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Choose a learning format and schedule that fits your lifestyle
Everything you need to build practical skills and prepare for a successful Data Science career
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
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 provides practical learning and career support for learners and organizations, including customized data science corporate training and practical industry exposure through a data science internship 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
B.Tech, B.Sc., BCA, MCA, M.Tech and M.Sc. graduates can join this program, and non-computing science and mathematics graduates can also be suitable candidates if they have the required analytical foundation. The program provides a structured path through a data science with AI and machine learning course.
Yes, and it is a common pattern, with learners choosing batches that fit around semester exams and campus placement schedules. The structured learning format can also provide the practical intensity of a data science bootcamp course while students complete their degree.
No. The course starts from Python and statistics fundamentals, and learners from electronics, mechanical, commerce and science backgrounds can complete it successfully. The skills can also be useful for learners considering a machine learning course for working professionals as they progress into data and AI roles.
You need comfort with school-level algebra and a willingness to think quantitatively. The statistics and linear algebra concepts required are taught applied, in the context of models rather than proofs.
This answer must describe the internship precisely: host organisation, duration, whether the work is on real client deliverables, whether it is paid, and whether every learner receives it. The program also includes learning relevant to data science certification for candidates building their professional profile.
The course includes placement assistance covering resume review, mock interviews and referrals for eligible learners. Placement assistance should not be considered the same as a data science job guarantee course, and career outcomes depend on individual skills, performance and applicable program terms.
Publishable projects will build a fresher’s portfolio, for example a churn prediction model with documented model validation and a deployed API. Learners can also gain practical experience through a data science real time project.
Job readiness is mainly driven by demonstrated work and interview performance rather than time alone. With consistent learning, practical projects and portfolio development, freshers can prepare for opportunities including machine learning engineer jobs USA.
Yes, although the market has matured and entry-level roles are more competitive than a few years ago. Freshers should focus on demonstrable project work, relevant skills and practical experience when evaluating the best data science course 2026.
Most freshers find model evaluation and data leakage hardest, because a model can look excellent and still be worthless, which is why validation discipline is taught before deep learning rather than after.
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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