


The Data Science Course in Delhi is a comprehensive program designed to equip you with essential skills for today’s data-driven industries. Ideal for both beginners and professionals, this course covers key areas such as data analysis, machine learning, statistical modelling, and data visualisation using tools like Python, R, and SQL. Through hands-on projects and real-world case studies, you’ll gain practical experience in working with large datasets, building predictive models, and extracting actionable insights.
The course is taught by industry experts, ensuring that you acquire both theoretical knowledge and practical skills that are highly valued in the job market. Upon completion, you’ll be well-prepared for roles such as Data Scientist, Data Analyst, and Machine Learning Engineer. Additionally, the program offers job placement assistance, helping you secure a position in the rapidly growing field of data science, making it a valuable investment in your career.
Why Should You Choose TrainingYA for Data Science Course in Delhi?
TrainingYA is known as one of the leading Data Science training institutes in Delhi. They offer customised, industry-specific training for Data Science to meet the needs of professionals at different career levels. With experienced instructors, flexible scheduling, and practical, hands-on learning, you can gain real-world skills that are immediately applicable.
TrainingYA is committed to ensuring that you get the industry-relevant training in this ever-changing world of data, and focusing on your career goals and providing personalised support.
What Is Data Science, Who Is a Data Scientist?
Data Science is the field that combines statistical methods, programming, and domain knowledge to extract meaningful insights from structured and unstructured data. It involves data collection, cleaning, analysis, and the application of machine learning algorithms to make predictions and informed decisions.
A Data Scientist is a professional who uses these techniques and tools to analyse large sets of data, uncover patterns, and provide actionable insights. They often have expertise in areas such as mathematics, computer science, and business to solve complex problems and help organisations make data-driven decisions.
Why Should One Take the Data Science Course in Delhi?
One should take the Data Science course in Delhi to gain in-demand skills, unlock high-paying job opportunities, and contribute to data-driven decision-making across various industries.
Skills & Tools you will learn – Data Science course in Delhi
- Python with Machine learning and AI
- Tableau
- Power BI
- Alteryx
- SQL server
- Excel
- Programming Fundamentals
Is Data Science Certification Course being worth pursuing as a career?
Pursuing a Data Science certification course in Delhi is worth it. As digitalisation drives massive data generation, the demand for skilled Data Science professionals who can analyse and extract valuable insights is skyrocketing, leading to millions of job opportunities. The gap between demand and supply in this field means abundant career prospects and competitive salaries. With data generation continuously growing, a career as a Data Scientist offers long-term stability and rewarding opportunities in an ever-expanding field.
You May Question If Data Science Training In Delhi Is Worth It?
The answer is yes. Data science and analytics generate numerous job opportunities across various industries worldwide. Businesses have recognised the importance of analysing historical data to make informed decisions and enhance their operations. The digital transformation across all business sectors has facilitated the generation of data and its analysis, leading to the emergence of numerous job opportunities in the field of data science and analytics. There is a significant gap between the demand for data scientists and the supply, resulting in high salaries for professionals in this field, making data science one of the most lucrative careers in the industry. The career path for data scientists is long and promising, as the generation of online data is continuous and is expected to continue growing in the future.
Why TrainingYA Is The Best Data Science Training Institute?
TrainingYA is the premier Data Science training institute, distinguished by its industry-focused curriculum, expert trainers, practical learning approach, and robust job placement support.
Who Should Enroll for the Data Science Course in Delhi?
Professionals who can consider a Data Science course in Delhi as the next logical move to enhance in their careers include:
- A professional from any domain who has logical, mathematical and analytical skills
- Professionals working on Business intelligence, Data Warehousing and reporting tools
- Business analysts
- Freshers from any stream with good Analytical and logical skills
- Working professionals looking to upskill or transition into data science
- Business analysts, data analysts, and data engineers
- Entrepreneurs and business owners looking to leverage data for decision-making
Interview Preparation Sessions
Upon completing the Data Science course training and projects, participants will be enrolled in our Placement Incubation Program. This program includes thorough interview preparation for Data Science. Participants will have access to a comprehensive repository of Data Science interview questions with answers to aid their preparation. The lead faculty will assist with resume building, conduct mock interviews, evaluate each participant’s knowledge and expertise, and provide feedback. Our faculty will guide participants through the interview preparation process until they are successfully placed. Additionally, guidance will be offered for building a professional profile and enhancing the marketability of resumes.
Why This Course Is Ideal for Freshers?
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Beginner-Friendly Curriculum: No prior coding or analytics experience? No problem. The course begins with programming basics, then moves into core concepts like data handling, visualisation, and machine learning.
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Hands-on Training: Learn by doing through real-world projects, assignments, and case studies to build a strong practical foundation.
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Expert Guidance: Get mentored by industry professionals with years of experience in data science who understand how to guide beginners effectively.
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Career Support from Day One: From resume building to mock interviews, our placement team helps you get job-ready while you’re still training.
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Flexible Learning Options: Whether you prefer weekend classes, live online sessions, or self-paced e-learning, we’ve got you covered.
What Freshers Will Learn?
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Python and R programming fundamentals
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SQL and Excel for data manipulation
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Introduction to machine learning and AI concepts
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Data visualisation using Tableau and Power BI
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Real-world problem-solving through live project work
Career Opportunities After Completion
Freshers who complete this course can apply for entry-level roles such as:
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Data Analyst
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Junior Data Scientist
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Business Intelligence Analyst
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Machine Learning Intern
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Data Engineer (Entry Level)
No Technical Background? No Worries.
We welcome students from all academic backgrounds, including arts, commerce, engineering, and management. If you have a logical mind and a curiosity for data, we’ll help you transform it into a career.
Other Locations :
Data Science Training In Faridabad
Data Science Career Path Roadmap

Placement Assistance Process



Why TrainingYA?
Assignments
TrainingYA provides practical, hands-on assignments designed to reinforce learning. These assignments focus on real-world scenarios and are aligned with industry standards, helping students gain practical experience. Support is provided to ensure students fully understand and complete each task successfully.
Work on live projects 
At TrainingYA, students work on live projects as part of their data science training. These real-world projects help students gain practical experience by applying their knowledge to solve actual business problems. Working on live projects enhances problem-solving skills, builds confidence, and makes students industry-ready by providing them hands-on exposure to real data, tools, and scenarios.
24/7 Learning Support
TrainingYA offers 24/7 learning support to ensure students can access help whenever needed. Whether it’s through live doubt-clearing sessions, access to recorded lectures, or responsive trainer assistance, this round-the-clock support helps students overcome challenges and stay on track in their learning journey.
Placement Assistance 
TrainingYA offers comprehensive placement assistance to ensure students are well-prepared for job opportunities in the data science field. This includes resume building, mock interviews, and personalised feedback to improve interview performance. With strong industry connections, students receive guidance and resources to secure data science roles successfully.
Best Industry Trainers
TrainingYA offers the best industry trainers with 18+ years of experience in the data science field. These experts provide practical insights, personalised guidance, and real-world knowledge to help students excel in their careers.
Access to E-Learning 
TrainingYA provides access to e-learning resources, allowing students to study at their own pace. This includes recorded lectures, interactive modules, and supplementary materials that enhance understanding and reinforce concepts learned in class.
Tailored course curriculum
TrainingYA offers a tailored course curriculum designed to meet the specific needs of students. This curriculum focuses on essential skills and industry-relevant topics, ensuring that learners gain practical knowledge and experience in data science. It is regularly updated to keep pace with the latest trends and technologies in the field.
Data Science Course Syllabus: Step-by-Step Learning Path
At TrainingYA, the Data Science course is structured into carefully designed modules that gradually build your knowledge from foundational concepts to advanced applications. The curriculum ensures you gain practical skills, real-world project experience, and in-demand tools to excel in the field.
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Understanding the role of data science in modern industries
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Overview of data analytics, machine learning, and AI
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Real-life applications of data science across sectors
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Basics of Python programming
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Data structures, libraries (NumPy, Pandas, Matplotlib)
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Writing efficient code for data manipulation and analysis
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Descriptive and inferential statistics
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Probability distributions, hypothesis testing
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Correlation, regression, and data summarization techniques
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Handling missing data, outliers, and inconsistencies
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Data preprocessing and feature engineering
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Using Python and SQL for cleaning and transforming data
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Identifying patterns and trends in data
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Visualising distributions, relationships, and outliers
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Generating actionable insights using EDA tools
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Writing queries to extract, filter, and join datasets
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Database management fundamentals
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Working with large datasets using SQL Server
Matches the mention of “SQL server” and “SQL and Excel for data manipulation”.
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Supervised vs Unsupervised learning
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Linear regression, logistic regression, decision trees, clustering
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Model evaluation techniques and metrics (accuracy, precision, recall)
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Basics of Artificial Intelligence
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Introduction to neural networks and deep learning
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Overview of TensorFlow, Keras, and AI use cases
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Work on real-world datasets to solve industry problems
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End-to-end project execution: from data collection to model deployment
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Presenting findings and building a portfolio for job interviews
Get Certified to Accelerate Your Data Science Career
Showcase Your Skills and Open Doors to Endless Opportunities

✅ Globally Recognized Certification
Earn a Data Science certification from TrainingYA that is acknowledged by top employers across industries. This globally recognized credential validates your expertise in data analytics, machine learning, and predictive modeling — helping you stand out in a competitive job market.
✅ Lifetime Validity & Credibility
Your TrainingYA Data Science certificate comes with lifetime validity, ensuring your accomplishments continue to strengthen your professional profile throughout your career. Build long-term trust with clients and employers who value certified expertise.
✅ Exclusive Networking Opportunities
Join a thriving community of certified data professionals through TrainingYA. Connect with industry experts, collaborate on real-world projects, and explore exciting career opportunities with our growing network of alumni and partners.
Key Recruiters
Don't Just Take Our Word For It. See How TrainingYA Transformed Lives
Your Journey: From Learning to Earning
FAQs on Data Science Course in Delhi
A Data Science course teaches essential skills like data analysis, machine learning, and programming to analyze and interpret large datasets. It prepares individuals for roles such as Data Scientist and Data Analyst through practical projects and real-world applications.
By enrolling in this Data Science Certification course, you will have the flexibility to learn at your own pace. You will have access to a comprehensive curriculum taught by industry experts and gain hands-on experience with real-world projects. Additionally, you will benefit from career advancement opportunities, networking with peers and professionals, and job assistance services. All of these will enhance your job prospects and earning potential in the growing field of data science.
This Data Science Course is designed for both experienced professionals as well as beginners, providing fundamental knowledge for newcomers and advanced concepts for those seeking to deepen their expertise.
Yes, a fresh college graduate can seek employment after completing this data scientist course, as it equips them with the necessary skills and knowledge to enter the data science field.
Yes, you can become a Data Scientist even if you come from a non-technical background with no prior programming knowledge. While a strong foundation in mathematics, statistics, and programming is helpful, many courses start with basics and gradually build advanced skills, making the field accessible to beginners as well.
Yes, you can request a support doubt clearing session to better understand the topics. Many courses offer additional support through live sessions or discussion forums to help you grasp complex concepts.
The future of data science jobs is very promising. There is an increasing demand across various industries due to the growing importance of data-driven decision-making. As businesses continue to rely on data to gain insights and maintain a competitive advantage, the need for skilled data scientists is expected to remain strong, offering numerous opportunities for career growth and advancement.
The time it takes to become a Data Scientist can vary depending on your background and learning pace.
- Beginner with No Experience: Typically, 5-7 months, including completing a comprehensive course or degree program and gaining practical experience.
- With Some Related Experience: Around 4-6 months, focusing on filling in specific knowledge gaps and building a portfolio.
- Fast track training and workshops: People looking to get faster transition but ready to slog hours daily as per the need, can take 3 to 5 months, offering a fast-track route with immersive, hands-on learning. Continuous learning and practical experience are crucial in this evolving field.
Yes, Data Science is a highly rewarding and in-demand career. With the rapid growth of data across industries, companies need skilled professionals to analyze, interpret, and provide insights from data. Data Scientists often enjoy high salaries, job flexibility, and opportunities in various sectors like healthcare, finance, and technology.
Data Science can be challenging but not necessarily stressful if you enjoy analyzing data and solving problems. It requires attention to detail and continuous learning, but professionals trained at TrainingYA often find the work exciting and rewarding, thanks to strong practical foundations built during the course.
Yes, you can learn the fundamentals of Data Science in 3 months with focused learning and practice. At TrainingYA, our short-term Data Science programs are designed to help you grasp essential concepts like Python, statistics, data visualization and machine learning quickly and effectively.
Data Science salaries vary depending on experience and location. In India, freshers can expect around ₹6–8 LPA, while experienced professionals earn ₹15–25 LPA or more. With TrainingYA’s industry-oriented training, you can enhance your employability and aim for top-paying roles in the field.
Absolutely not! Data Science continues to grow and evolve with AI and automation. The demand for skilled data professionals is increasing across industries. TrainingYA ensures you stay future-ready with the latest tools and technologies in Data Science and AI.
The cost of a Data Science course in Delhi typically ranges from ₹40,000 to ₹1,00,000. TrainingYA offers affordable and comprehensive Data Science training programs in Delhi with live projects, mentorship, and placement support — providing great value for your investment.
Data Science involves coding but extends far beyond it — integrating statistics, analytics, and AI. If you enjoy interpreting data and driving business insights, Data Science may be a better fit. TrainingYA’s curriculum includes hands-on coding along with real-world analytical problem-solving.
Both are excellent fields, but they serve different purposes. Computer Science (CS) focuses on system development and algorithms, while Data Science (DS) revolves around data-driven insights and decision-making. TrainingYA helps students explore both to find the best career path aligned with their interests.
Not at all! Many professionals switch to Data Science in their 30s or later. With the right guidance and structured learning from TrainingYA, you can easily transition into a rewarding Data Science career regardless of age or background.
AI is more advanced and often builds upon Data Science. Data Science focuses on analyzing data, while AI aims to create systems that can make decisions independently. TrainingYA covers both fields, starting with foundational Data Science before moving into AI and Machine Learning concepts.
By 2050, AI is expected to automate repetitive and rule-based jobs, especially in sectors like manufacturing, customer service, and logistics. However, AI will also create new roles in data analytics, AI development, and ethics — areas where TrainingYA’s courses prepare you to thrive in the future.
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