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The AI & ML program empowers learners to get roles as Data Scientists, engineers, and AI Consultants
Data Scientist Salary in India
Data Scientist Salary in Global
Experience Level Average Salary (Annual)
Entry-Level $60,000 – $90,000
Mid-Level $90,000 – $130,000
Senior-Level $130,000 – $180,000
Lead/Management $180,000 – $250,000+
Explore a comprehensive toolkit of over 20 + practical tools and frameworks that will equip you with the necessary resources to drive positive impact in your work. Stay ahead of the curve and leverage the latest advancements.
Dive into capstone projects across four domains, offering you the opportunity to showcase your expertise and creativity while solving real-world challenges. Unlock your potential and make a lasting impression.
Embark on four immersive hands-on projects meticulously designed to align with diverse industry verticals. Gain practical experience and apply your skills in a tangible way.
Engage in captivating masterclasses conducted by distinguished faculty members who bring their vast knowledge and industry experience to the forefront, empowering you with invaluable insights.
Achieve recognition with a prestigious program completion certificates from GLOBAL and iPEC Solutions Pvt. Ltd., boosting your credentials and validating your expertise.
Gain a competitive edge in the job market with iPEC Solutions’ career assistance program, designed to ensure you stand out to top hiring companies. Maximize your chances of success and open doors to exciting career opportunities.
This program is designed to cater to a diverse range of individuals, including graduates from various disciplines and working professionals from both programming and non-programming backgrounds. It welcomes learners from all educational backgrounds who possess an analytical mindset, including:
No matter your background, if you have a keen interest in data analysis, problem-solving, and a desire to harness the potential of data, this program is suitable for you. Embrace the world of data science and unlock a world of opportunities.
Upon completion of the program, participants will achieve the following:
The enrollment fee for this program is Rs.75,000 + GST
Domain Knowledge: Suppose you’re working as a data scientist in the healthcare Understanding medical terminology, healthcare regulations, and common challenges in the sector will help you analyze patient data, identify patterns, and develop predictive models that can aid in early disease detection or improve treatment outcomes.
The responsibilities of a data scientist can vary depending on the organization and specific job role. However, here are some common responsibilities associated with data scientists:
Model Development:
Data Preprocessing: Data scientists often spend a significant amount of time cleaning and preprocessing data to ensure its quality and suitability for analysis. This involves handling missing data, removing outliers, normalizing data, and transforming variables as needed.
Feature Engineering: Data scientists engineer and select relevant features or variables that can improve the accuracy and performance of predictive models. This may involve creating new features, selecting subsets of features, or applying dimensionality reduction techniques.
Collaborating with Stakeholders: Data scientists work closely with various stakeholders, including business managers, executives, and other team members. They need to understand the business requirements, translate them into data science problems, and effectively communicate findings and insights to non-technical audiences.
Experimentation and Testing: Data scientists design and conduct experiments to test hypotheses, evaluate models, or measure the impact of interventions or changes. They define metrics for evaluation and perform A/B testing or other experimental designs to validate their hypotheses.
Deployment and Integration: Data scientists are involved in deploying models into production environments, integrating them with existing systems or workflows, and monitoring their performance in real-time. This includes collaborating with software engineers, DevOps teams, and IT professionals to ensure seamless integration and scalability.
Continuous Learning and Skill Development: Data science is a rapidly evolving field, and data scientists need to stay up-to-date with the latest advancements, techniques, and tools. They engage in continuous learning, participate in relevant conferences or workshops, and explore new methodologies to enhance their skills and expertise.
Documentation and Reporting: Data scientists document their methodologies, workflows, and findings to ensure reproducibility and knowledge sharing. They also prepare reports, presentations, or visualizations to effectively communicate results and recommendations to stakeholders.
Data scientists build predictive models and machine learning algorithms to solve business problems. This includes selecting appropriate models, training and testing them on relevant datasets, and fine-tuning the models for optimal performance.
Ethical and Legal Considerations: Data scientists have a responsibility to ensure ethical and responsible use of data. They must comply with privacy regulations, handle sensitive data appropriately, and mitigate biases or discrimination that may arise from data analysis or model predictions.
At iPEC, we pride ourselves on offering an offline learning experience that goes beyond the ordinary. Rooted in excellence, our methodology is tailored to provide students in India with the best possible education, enriched by the expertise of our experienced trainers.
With smaller class sizes, our experienced faculty can provide individualized attention to students. This ensures a deeper understanding of the subject matter, allowing each student to progress at their own pace.
Immerse yourself in hands-on learning experiences facilitated by our knowledgeable faculty. From real-world case studies to practical applications, our offline method equips students with the skills needed to excel in their respective fields.
Build a strong professional network by connecting with classmates and experienced faculty members. Our offline setup encourages relationship-building, creating a supportive community that extends beyond the classroom.
Enjoy seamless access to a range of resources, including libraries, labs, and study spaces. Our offline learning environment provides the tools necessary for comprehensive understanding and research.
Our faculty members bring a wealth of knowledge and practical experience to the classroom. Hailing from diverse backgrounds, they not only possess academic expertise but also offer valuable insights gained from years of industry experience. The combination of their academic and practical knowledge creates a holistic learning environment that prepares students for real-world challenges.
iPEC has a history of producing successful graduates who have excelled in their careers.
Our offline learning approach focuses not only on academic excellence but also on the holistic development of each student, nurturing well-rounded professionals.
Stay ahead in your chosen field with our industry-relevant curriculum, constantly updated to align with current trends and demands.
Unlock your full potential with our expert-led Offline / online courses. Gain practical knowledge and advance your career in your chosen field.
Hear from our successful students who have transformed their careers with iPEC’s hands-on training. From mastering AI and automation to securing top industry roles, our graduates share how iPEC’s expert mentorship, real-world projects, and career-focused learning helped them achieve their dreams.
