Launch your career with practical Data Analytics & AI training aligned to industry needs. Gain job-ready skills in SQL, Python, Power BI, Excel and Machine Learning through real-world projects.
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Over 500+ enterprises trust us for building their next-generation AI teams. Partner with us to drive your growth and innovation.
Cutting-Edge AI and Data Science Education
Get trained with industry-standard AI tools, real datasets, and expert mentorship to become a professional data scientist.
Build real-world AI applications with cutting-edge tools and frameworks.
Master algorithms, models, and techniques for predictive analytics.
Learn industry-standard tools like Python, TensorFlow, and Pandas.
Work on actual data scenarios from various industries and domains.
Follow curated curricula with milestones and skill assessments.
Personal guidance from experienced AI researchers and practitioners.
Understand responsible AI development, bias mitigation, and ethics.
Cultivate the creativity and problem-solving skills for AI innovation.
Learn how leading tech companies and researchers apply AI in practice.
Learn Directly from
At NIDADS, you learn from active industry professionals who build, deploy, and scale real-world Data Science and AI solutions every day.
Market Mentor
Lead Data Science Trainer · ML & AI
8+ years of industry experience in Machine Learning, Deep Learning, and AI. Specializes in building end-to-end ML pipelines and deploying models at scale.
Market Mentor
Senior Data Analyst · BI & Visualisation
5+ years of experience in Data Analytics, Power BI, Tableau, and SQL. Expert in turning raw datasets into actionable business insights.
Market Mentor
AI Engineer · NLP & Computer Vision
6+ years hands-on experience in NLP, Computer Vision, and Generative AI. Worked with Fortune 500 companies on real-world AI product development.
Master the in-demand skills to become a Data Science & Analytics with AI professional.
Analyze raw data and transform it into meaningful insights using charts, dashboards, and reports.
Learn Python from scratch and use it for data analysis, automation, and building real-world projects.
Build predictive models using machine learning algorithms to solve real business problems.
Understand AI concepts and build intelligent systems using real datasets and modern tools.
Learn how to extract, manage, and manipulate data from databases using SQL.
Work on real-world projects and case studies to gain practical industry experience.
Analyze raw data and transform it into meaningful insights using charts, dashboards, and reports.
Learn Python from scratch and use it for data analysis, automation, and building real-world projects.
Build predictive models using machine learning algorithms to solve real business problems.
Understand AI concepts and build intelligent systems using real datasets and modern tools.
Learn how to extract, manage, and manipulate data from databases using SQL.
Work on real-world projects and case studies to gain practical industry experience.
Career-focused programs designed to make you industry-ready.
Structured learning, live industry projects and a dedicated placement cell that helps you move from learning to hiring — confidently.
Placement Rate
Within 6 MonthsHighest Package
International RoleAverage Package
Recent BatchesReal offers. Real companies. Real career shifts.
“NIDADS’ project-based approach and mock interviews helped me switch careers confidently. I’m now working as a Data Engineer.”
“Hands-on projects and mentorship helped me build a strong portfolio. I cracked interviews faster than expected.”
“The structured roadmap and placement guidance made all the difference. This felt like real industry training.”
Market Share
Growth Trend
Transform your career with cutting-edge data science skills. Learn from industry experts and work on real-world projects to become a sought-after data professional.
Compare our flagship course offerings and find the learning path that best fits your career goals.
12 Months • Hybrid Learning
For beginners and working pros alike. Master Python, R, Machine Learning, Deep Learning, SQL, Statistics and BI tools through real projects.
12 Months • Hybrid Learning
Ideal for future analysts. Learn Excel, SQL, Python, Statistics, Machine Learning and Power BI with business datasets.
6 Months • Hybrid Learning
For candidates with basic analytics knowledge. Deep-dive into advanced ML, AI model deployment and statistical techniques.
6 Months • Hybrid Learning
For upskillers in analytics. Gain advanced expertise in data modeling, ML applications, dashboards and BI tools.
Earn certificates that validate your skills and open doors to new career opportunities
Comprehensive 12-month program covering Python, ML, Deep Learning, and AI applications
12-month intensive program focused on analytics, BI tools, and business intelligence
6-month advanced certification for ML deployment and statistical modeling
6-month program for advanced analytics, ML applications, and BI strategy
4-month certification covering essential analytics and AI fundamentals
4-month program designed for working professionals in analytics roles
Earn a UGC-Approved University Degree Backed by Expert AI Training
Our 3-year Degree Program in Artificial Intelligence combines a government-recognised university degree from DU SOL or Amity Online with 300+ hours of exclusive NIDADS AI specialization. Weekly learning trips, annual out-of-station business expeditions, social impact projects, and vibrant student clubs make this a complete college experience — not just a course.
Acoustic-treated studios, breakout zones for quick huddles, and dedicated bays for sprints and critiques. Visit to see how we learn, build projects, and solve real problems.
See how we take you from beginner to job-ready
Breakout
Mentor podDesign studioLearning baysWorkshop zone
Breakout
Mentor pod
Library nook
Studio hallOur programs combine hands-on projects, expert mentorship, and a flexible schedule.
Practical curriculum, Career support, Industry-relevant tools, and lifelong community to launch your data career.
Happy Students
Industry Partners
Happy Alumni
Learning Modules
See what our customers have to say about us.
The project-based training at NIDADS helped me build a portfolio that landed me a data analyst role within three months of graduation.
Hands-on mentorship and real industry projects gave me the confidence to transition into machine learning engineering.
The supportive faculty and living labs made learning complex concepts enjoyable and practical.
The project-based training at NIDADS helped me build a portfolio that landed me a data analyst role within three months of graduation.
Hands-on mentorship and real industry projects gave me the confidence to transition into machine learning engineering.
The supportive faculty and living labs made learning complex concepts enjoyable and practical.
From basics to advanced analytics, the structured curriculum gave me clarity and career direction.
The placement cell's mock interviews and resume reviews were key to securing my first job offer.
I loved the community and peer learning – we kept each other motivated through every project.
From basics to advanced analytics, the structured curriculum gave me clarity and career direction.
The placement cell's mock interviews and resume reviews were key to securing my first job offer.
I loved the community and peer learning – we kept each other motivated through every project.
NIDADS’ campus environment made it easy to balance theory with hands-on practice every day.
The real-world datasets we worked on prepared me for the kinds of problems companies actually solve.
The network I built here continues to open doors in the data industry for me.
NIDADS’ campus environment made it easy to balance theory with hands-on practice every day.
The real-world datasets we worked on prepared me for the kinds of problems companies actually solve.
The network I built here continues to open doors in the data industry for me.
Find answers to the most common questions about our data science, AI, and analytics course, including curriculum, projects, certification, and placement support.
The course includes live instructor-led sessions, real-world project work, Python and SQL training, machine learning modules, Power BI analytics, and career support. It is designed as a full-stack data science and AI training program for job-ready skills.
The NIDADS Data Science course is typically completed in 6 to 9 months depending on your batch and pace. This timeline includes project-based learning, live classes, mentorship, and placement preparation.
Yes. We offer online batches, weekend classes, and flexible schedules so working professionals can learn data analytics and machine learning without disrupting their current job.
No prior programming experience is required. The course starts with foundational Python, SQL, and data analysis concepts, then advances into machine learning and AI model development.
You receive an industry-recognized NIDADS completion certificate, project certificates for real-world assignments, and preparation for external data science certifications if you choose to pursue them.
Yes. NIDADS provides placement support, mock interviews, resume reviews, and company-specific job preparation to help learners transition into data science and analytics roles.
The curriculum covers Python, SQL, Power BI, Excel, Tableau, TensorFlow, machine learning libraries, and industry-standard analytics tools used by data professionals.
Students complete multiple real-world projects across analytics, machine learning, AI, and business intelligence domains. These projects are designed to strengthen your portfolio for interviews and job applications.
Graduates can pursue roles such as Data Analyst, Business Analyst, Data Scientist, Machine Learning Engineer, AI Specialist, and Analytics Consultant in tech and finance companies.
The syllabus is updated with current industry trends, recruiter expectations, and real market use cases, ensuring the learning path matches what hiring managers look for in data science candidates.
Yes. All live session recordings are available in your student portal so you can revisit lessons, revise concepts, and complete projects at your own pace.
Yes. The program includes mentorship and guidance from market professionals who work with live data, trade strategies, and analytics models in real corporate environments.
Learners often see significant salary growth after completing the course, with many landing roles offering higher packages due to strong project experience and applied data science skills.
The program emphasizes hands-on learning through case studies, project work, live datasets, simulations, and tool-based assignments that mirror real business analytics workflows.
Yes. The course is structured for beginners as well as professionals, with foundational modules, step-by-step guidance, and advanced topics for learners with some prior experience.
Data analytics focuses on SQL, BI tools, reporting, and insights, while AI training covers machine learning, model building, and predictive analytics. NIDADS blends both so students gain a full data science skill set.
You can apply through the website by filling out the enquiry form or contacting the admissions team for a free course consultation and batch availability details.
NIDADS occasionally offers early-bird discounts, referral benefits, and scholarship schemes for eligible students. Contact admissions for current offers and eligibility criteria.
Yes. The curriculum covers data science, machine learning, and business analytics to ensure you understand both technical modeling and business decision-making with data.
NIDADS stands out for its project-driven curriculum, expert mentorship, live market simulations, placement support, and strong focus on practical skills that hiring teams demand in analytics and AI roles.
