Modulation Digital offers a 1-Year Data Science & AI Certification Course in Delhi designed to provide students with structured, practical and career-oriented training. The course covers Python programming, statistics, SQL, data analytics, data visualization, machine learning and artificial intelligence.
The certificate awarded after successful completion of the program is a university-certified / university-affiliated certification, subject to the applicable university and course requirements.
A major part of our practical learning model comes from our own IT company. We bring suitable projects from the market into our company for development and data-related work. Eligible students can get an opportunity to work on selected projects as part of their practical training and internship pathway.
Selected students may also receive a paid internship opportunity. Depending on the applicable internship requirements and company policy, students can receive an offer letter and experience certificate after completing the relevant internship engagement.
Learn Data Science and AI with a combination of structured classroom training, practical assignments, live project exposure and career support.
A structured one-year learning journey from programming fundamentals to data analytics, machine learning and AI.
Get practical exposure through selected projects handled by our own IT company.
Selected students can get paid internship opportunities based on project requirements and applicable company terms.
Students completing applicable internship requirements can receive an offer letter and experience certificate.
Work with datasets, SQL queries, dashboards, reports and analytical workflows.
Get guidance during technical learning, assignments, projects and career preparation.
Available learning modes allow students to choose the format offered in their selected batch.
Resume guidance, interview preparation and assistance with relevant career opportunities.
Modulation Digital works as both a training institute and an IT company. Our IT company takes suitable technology and data-related projects from the market and works on them for clients.
This creates an opportunity for eligible students to get practical exposure to selected Data Analytics and Data Science projects under the guidance of experienced team members.
Students first build their technical foundation through the course. As their skills develop, eligible students may be introduced to suitable company projects where they can apply what they have learned in a professional project environment.
Our IT company receives suitable projects and requirements from clients and businesses.
Students learn the concepts and tools required for data analysis and project work.
Eligible students can work on selected company projects according to their skills and project requirements.
Selected students may receive a paid internship opportunity under applicable internship terms.
Students fulfilling the relevant internship requirements may receive an offer letter and experience certificate.
The practical component is designed to help students understand how data-related work is performed in a professional project environment.
Gain exposure to datasets and practical analytical tasks instead of relying only on classroom examples.
Learn how requirements, data preparation, analysis, reporting, documentation and delivery fit together.
Selected internship participants can gain professional exposure and may receive relevant documentation such as an offer letter and experience certificate.
A structured learning path covering programming, statistics, data analytics, machine learning, AI, visualization and practical project work.
Python basics, variables, data types, operators, conditions, loops, functions, lists, tuples, dictionaries, file handling, exception handling and object-oriented programming.
Descriptive statistics, probability, distributions, mean, median, mode, variance, standard deviation, correlation and basic statistical concepts used in data analysis.
NumPy arrays, Pandas Series and DataFrames, importing datasets, data cleaning, missing values, filtering, sorting, grouping, merging and exploratory data analysis.
Database concepts, tables, SELECT queries, filtering, sorting, joins, grouping, aggregate functions, subqueries and practical SQL analysis.
Data visualization principles, charts, dashboards, reporting, Matplotlib, Seaborn and business intelligence concepts using tools such as Power BI or Tableau.
Understanding datasets, identifying patterns, handling outliers, feature relationships, exploratory analysis and communicating findings.
Supervised and unsupervised learning, regression, classification, clustering, model evaluation, feature preparation and introductory machine learning workflows.
AI fundamentals, applications of artificial intelligence, introduction to generative AI, prompt engineering, AI-assisted workflows and practical use cases.
End-to-end projects involving data collection, cleaning, analysis, visualization, reporting and presentation of business insights.
Eligible students can get exposure to selected Data Analytics or related company projects. Selected students may be offered a paid internship based on project requirements and company policy. Applicable participants may receive an offer letter and experience certificate after fulfilling internship requirements.
Students work on a complete project combining data preparation, analysis, visualization and presentation to demonstrate their practical skills.
Resume preparation, project presentation, interview practice, technical questions, communication skills and career guidance for relevant Data Science and Data Analytics opportunities.
Data Science and Analytics skills can be applied across technology, finance, e-commerce, healthcare, marketing, consulting and other data-driven industries.
Analyse datasets, create reports and dashboards, and communicate business insights.
Work with data, statistics and machine learning to solve analytical problems.
Build and work with machine learning and artificial intelligence solutions.
Develop dashboards and analytical reports that support business decision-making.
Convert complex datasets into understandable charts, dashboards and visual reports.
Use data and business requirements to support planning, reporting and decision-making.
Apply Python and data-processing skills to software and analytics workflows.
Build further specialization in AI, analytics, automation and data-driven technologies.
Our career support focuses on helping students prepare for relevant entry-level opportunities.
Guidance on presenting your technical skills, projects, internship and academic background.
Practice technical, project-based and common interview questions.
Assistance with relevant job opportunities and the recruitment process.
Guidance on skills, projects and career paths relevant to Data Science and Analytics.
Mr. Prem Kumar is the Director at Modulation Digital Pvt Ltd and the Data Science & AI Trainer for this program. With 6+ years of professional experience, he provides practical training in Python, SQL, Data Analytics, Power BI, Tableau, Machine Learning, Deep Learning, and Artificial Intelligence, helping students understand how data and AI technologies are applied to real-world business problems.
His training approach combines conceptual learning with hands-on practice, real datasets, analytical projects, and industry-oriented workflows. Students learn to analyze and visualize data, build machine learning solutions, and develop the practical problem-solving skills required for careers in Data Science, Data Analytics, and AI.
Along with training and leadership responsibilities, Mr. Prem Kumar also heads the Placement & Corporate Relations function at Modulation Digital, where he supports students with career guidance, interview preparation, professional communication, and placement assistance.
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Join the 1-Year Data Science & AI Certification Course in Delhi and build your skills through structured training, practical projects and career-focused learning.
Enquire NowFind answers to common questions students ask before joining a Data Science, Data Analytics and AI course.
A Data Science & AI course teaches students how to collect, clean, analyse and visualize data and how to use statistical, machine learning and artificial intelligence techniques. The Modulation Digital program covers Python, SQL, data analytics, visualization, machine learning and AI as part of its one-year curriculum.
Data Science, Data Analytics and AI skills are used across many industries. Career paths can include Data Analyst, Data Scientist, Business Intelligence Analyst, AI/ML Engineer and other data-related roles. The appropriate career path depends on a student's skills, specialization and experience.
Students from different educational backgrounds can learn Data Science if they are willing to build programming, mathematics and analytical skills. The course starts with foundational programming and gradually moves toward data analytics, machine learning and AI.
Eligibility depends on the applicable admission requirements of the program. Students should contact the Modulation Digital admissions team for the current eligibility criteria, documentation and batch-specific requirements.
The curriculum includes Python, statistics, NumPy, Pandas, SQL, data cleaning, exploratory data analysis, data visualization, Power BI or Tableau, machine learning fundamentals, artificial intelligence, generative AI concepts and practical projects.
Yes. Modulation Digital has its own IT company where suitable projects are developed for clients. Eligible students can get an opportunity to work on selected Data Analytics or related projects as part of their practical training and internship pathway, subject to project availability and applicable requirements.
Selected students may receive a paid internship opportunity through the company's internship pathway. Internship selection, duration, stipend and project allocation depend on the applicable company terms, student performance and available projects.
Students who are selected for the applicable internship and complete the relevant internship requirements may receive an offer letter and experience certificate according to company policy.
The program provides a university-related certification subject to successful completion of the applicable course and university requirements. Students should confirm the current university, certification name and issuing requirements with the admissions team before enrollment.
Beginners can start learning Data Science by first developing programming, mathematics and data-handling fundamentals. This one-year program follows a structured learning path so students can progressively move from foundational topics to advanced data analytics, machine learning and AI.
Common tools covered in the program include Python, Pandas, NumPy, SQL, data visualization libraries and business intelligence tools such as Power BI or Tableau, along with machine learning and AI technologies.
Data Analytics generally focuses on examining data, identifying trends, creating reports and generating business insights. Data Science covers a broader range of work and can include statistics, programming, machine learning, predictive modelling and AI. The course introduces students to both data analytics and data science concepts.
Yes. Modulation Digital provides placement assistance that may include resume preparation, interview preparation, career guidance and assistance with relevant job opportunities. Placement outcomes depend on individual skills, interview performance, eligibility and employer requirements.
Depending on your skills and experience, you may explore roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, AI/ML Engineer, Data Visualization Analyst, Business Analyst and other data-related positions.
You can contact Modulation Digital through the enquiry form or contact page to check the current batch schedule, eligibility, course fee, available learning mode and admission process.
