Most training programs focus on completing a syllabus.
We focus on building a career.
Why Trust AnalytixLabs?
Since 2011, we’ve been teaching data science, AI and analytics, back when it was still a niche skill. Over the years, the tools have changed, the buzzwords have changed, hiring expectations have changed. But one thing hasn’t: learners struggle not because they lack intelligence, but because the path between understanding concepts and doing the job confidently is rarely structured.
Everything we offer today comes from observing where learners actually get stuck and building support at exactly those points. We don’t claim to have a magic curriculum. We simply refine our approach continuously, based on real learner journeys and real interview outcomes.
Why Our Approach Feels Different?
Job Guarantee Assurance
We back our training with a clear commitment. Put in the work, and we ensure you land the right role.
Placement Readiness Program (PRP)
Mock interviews, resume workshops, and real feedback loops. Designed to make interviews feel familiar, not frightening.
Structured Post-Class Mentorship
Learning doesn't stop when the batch ends. Our mentors stay with you through doubts, projects, and career decisions.
Industry-Relevant, Hands-On Curriculum
Our syllabus evolves with the industry, and we teach it through real datasets, real business problems, and real project work. You don't just learn concepts; you build confidence applying them.
Faculty With Real Industry Experience
Our instructors are practitioners first. They bring years of hands-on experience from analytics and data science roles.
Flexible Learning + Continuous Access
Weekend batches, recorded sessions, and lifetime access to updated content. Built for working professionals.
Deep Industry Experience That Shapes How We Teach
AnalytixLabs has been teaching data science, AI and analytics since 2011, long before it became a mainstream career path. As tools, roles, and hiring expectations evolved, so did the way we train learners.
Our programs are designed and delivered by practitioners who’ve worked in the industry themselves. The goal isn’t just to explain concepts, it’s to help learners understand how those concepts are actually used at work. How problems are approached, discussed, and solved in real environments.
Many of our learners have moved into roles across consulting, technology, and analytics teams at organizations like Accenture, American Express, AbsolutData, Axtria, Bank of America, and McKinsey. What matters most to us is that they felt prepared when they got there.
We focus on something simple: helping learners grow from understanding analytics to applying it independently, so that interviews feel familiar, and the first job feels manageable rather than overwhelming.
Piyush Ganar, Class of 2012 IIM Ahmedabad
(Assistant General Manager Sales Marketing, Findability Sciences)
The course material is very easy to understand and the case studies were based on real time business problems. What I love the most about Sumeet and his team is that they never operated the institute like a typical commercial enterprise but more like a temple for learning. The gates of Alabs are always open for students for any kind of help and guidance. I would recommend ALabs to all.
Raajeev Kumar Sahu
(Senior Manager – Data Science, FinTech Startup)
I am from Advance Big Data Science course of Nov 2016 batch. The course was very structured and got real world problems to practice during the final case studies. It has also boosted my skills to start participating in the hackathons. Chandra sir was really helped me in preparing my resume right from very beginning of the course. Also, the placement team was very well organized and connected to industry leaders so that people get the right opportunity right after completing the course. I really recommend this institute, who are interested to transition into analytics field.
Sumit Asthana
(Assistant Manager, Senior Data Scientist)
The rapid pace at which the institutes are mushrooming all over India and Facebook newsfeed being inundated with thousands of options for analytics training, there are only handful of training institutes or rather say only couple of places where they prepare you to foray into rapidly growing analytics vertical. I have been working into legacy systems for past 5 years and was quite apprehensive if I will ever break into data science successfully.
Surbhi Sultania
(Assistant Manager – Consumer Research and Insights Specialist, Primary Quantitative Research, The Smartcube Pvt ltd)
I took three months Big Data training from Analytix labs. Before joining this course, I had so many questions and doubts that will this course be worthy enough but later I found myself lucky to join this program. All trainers are amazing and always ready to help. Live examples and Case Studies are given which helps in understanding the concept and hands on practice.Not only they help in quality in depth knowledge transfer but also tend to give right direction to your career.
Vibhu Gautam
(Researcher, University of York)
I had been associated with AnalytixLabs since 2012. This has been possible because of the mentor ship and support you get from faculty there specially from Sumeet and Chandra.I did a Business Analytic course with a focus on Marketing Analytic. The course deliver had been great and most importantly you never feel like you are part of formal classroom teaching. You are mentored there at every step, from Code Errors to Understanding Statistics behind it.
Frequently Asked Questions
Have Questions on how you benefit from the course?
What can a data analytics course do for my career?
A well-curated data analytics course can initiate you in the path of becoming a successful data analyst across different domains. The demand for data professionals has grown exponentially across industries over the last decade, and undergoing data analytics training is one of the best ways of riding the tide.
Be it analyzing a sporting event or detecting early-stage cancer; a data analyst has a role in everything. The scope of data analytics as a discipline has been growing since its inception. Every task, every process, every little gadget connected to the internet produces data that can be turned into vital information. The newfound utility of data has increased the importance of analytics and data science in India by manifolds. Therefore, a reputed data analytics certification course in India can boost your career to get a flying start in the industry.
How is a data science course different from an analytics course?
Data analytics is a subset of data science with a relatively smaller scope of exploration. A data analytics certification training program prepares you for handling descriptive and predictive data analysis and data collection, cleaning, and organizing.
A data science training program focuses on finding patterns in data, asking relevant questions, preparing the machine learning algorithms to answer those questions. You can choose a course depending on your background, your level of knowledge, and of course, the expert counsel of the mentors at AnalytixLabs.
A career in data science or data analytics can have many facets. For instance, the Business Analytics 360 course will help you become a business analyst from scratch. A machine learning course will help you advance your knowledge of algorithms and predictive modeling. AnalytixLabs has the best data analytics course in Delhi, Noida, and Bangalore for each one of them.
How does the career transition look after training in data science?
Data science is a widely spread discipline, hence it is difficult to put out a specific answer to this question, however, we can look at some real-life scenarios experienced by our alumni. You can check them out on LinkedIn to verify their stories.
Dhruv Aggarwal made a transition from the manufacturing sector into a global data science leader after training with AnalytixLabs. For a non-programmer, Aggarwal’s learning curve was surprisingly smooth. The intelligently structured course allowed him to dedicate an ample amount of time to programming practice, while not ignoring other key elements. His growth was fast, well-targeted, and effective. He is currently contributing in customer data science and loyalty analytics.
Archish Rai Kapil’s journey from being a History graduate to becoming a data analyst in Air India is quite awe-inspiring. He started with the knowledge of advanced Excel and piled up certifications in various analytics tools. His non-CS background never came in the way and Archish generously shares some of the credit with AnalytixLabs for facilitating him with “just what he needed.”
The objectives of choosing these two stories from a long list are first to show that the transition to data science is not limited to IT professionals and secondly to stress the fact that active professionals can, with a bit of extra work, get a data analytics course certification and make a successful transition.
What can a data analytics course do for my career?
A well-curated data analytics course can initiate you in the path of becoming a successful data analyst across different domains. The demand for data professionals has grown exponentially across industries over the last decade, and undergoing data analytics training is one of the best ways of riding the tide.
Be it analyzing a sporting event or detecting early-stage cancer; a data analyst has a role in everything. The scope of data analytics as a discipline has been growing since its inception. Every task, every process, every little gadget connected to the internet produces data that can be turned into vital information. The newfound utility of data has increased the importance of analytics and data science in India by manifolds. Therefore, a reputed data analytics certification course in India can boost your career to get a flying start in the industry.
How is a data science course different from an analytics course?
Data analytics is a subset of data science with a relatively smaller scope of exploration. A data analytics certification training program prepares you for handling descriptive and predictive data analysis and data collection, cleaning, and organizing.
A data science training program focuses on finding patterns in data, asking relevant questions, preparing the machine learning algorithms to answer those questions. You can choose a course depending on your background, your level of knowledge, and of course, the expert counsel of the mentors at AnalytixLabs.
A career in data science or data analytics can have many facets. For instance, the Business Analytics 360 course will help you become a business analyst from scratch. A machine learning course will help you advance your knowledge of algorithms and predictive modeling. AnalytixLabs has the best data analytics course in Delhi, Noida, and Bangalore for each one of them.
How does the career transition look after training in data science?
Data science is a widely spread discipline, hence it is difficult to put out a specific answer to this question, however, we can look at some real-life scenarios experienced by our alumni. You can check them out on LinkedIn to verify their stories.
Dhruv Aggarwal made a transition from the manufacturing sector into a global data science leader after training with AnalytixLabs. For a non-programmer, Aggarwal’s learning curve was surprisingly smooth. The intelligently structured course allowed him to dedicate an ample amount of time to programming practice, while not ignoring other key elements. His growth was fast, well-targeted, and effective. He is currently contributing in customer data science and loyalty analytics.
Archish Rai Kapil’s journey from being a History graduate to becoming a data analyst in Air India is quite awe-inspiring. He started with the knowledge of advanced Excel and piled up certifications in various analytics tools. His non-CS background never came in the way and Archish generously shares some of the credit with AnalytixLabs for facilitating him with “just what he needed.”
The objectives of choosing these two stories from a long list are first to show that the transition to data science is not limited to IT professionals and secondly to stress the fact that active professionals can, with a bit of extra work, get a data analytics course certification and make a successful transition.
