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AI Driven Data Science Course

NDMIT’s mission is to transform aspiring individuals into job-ready Data Science professionals through an AI-driven, practical, and up-to-date curriculum.

About Course

Today’s data landscape demands more than just technical skills; it requires practical application, critical thinking, and constant adaptation. NDMIT directly addresses this industry skill gap by preparing you for the real data science world.

We offer job-ready expertise through hands-on projects, simulations, and training with next-generation technologies like generative AI, PySpark, Databricks, and Power BI. Learn from expert faculty in a comprehensive curriculum that builds both technical and essential professional skills, ensuring you’re equipped for immediate impact.

Key Learning Outcomes

✅ Master essential data science concepts and tools in a data-driven world.

✅ Gain hands-on experience through real-world projects and simulations.

✅ Develop critical thinking and problem-solving skills for data challenges.

✅ Learn to deploy and monetize data models effectively.

✅ Become proficient in next-generation technologies like Generative AI.

✅ Cultivate professional and communication skills vital for data roles.

Course Module

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What you will achieve

Certification/ Accreditation

Reach Out

      1-on-1 Career Counseling.
      Live Doubt-Clearing Session.
      ₹499 Fully Adjustable in Fees”.
      Personalized Roadmap Provided.

    ₹999.00 ₹499

    What Does This Course Have to Offer

    Need to know more

    Ready to dive deeper into the world of Data Science? Our program is meticulously designed to equip you with the practical skills and industry knowledge needed to excel. Discover how our expert-led training, hands-on projects, and cutting-edge curriculum will transform you into a job-ready professional.

    Download our brochure to get a comprehensive overview of modules, career opportunities, and how NDMIT prepares you for success in this high-demand field.

    Which Program is Best in The Market

    At NDMIT, we offer specialized Data Science programs tailored to various career aspirations. Our Data Science with Power BI course is ideal for aspiring Data Analysts and Business Intelligence professionals, focusing on powerful data visualization and reporting. For those aiming to be Machine Learning Engineers or Data Scientists, our Data Science with Machine Learning (ML) program delves into building robust predictive models. Lastly, our AI-Driven Data Science Course is perfect for future-focused professionals eager to specialize in cutting-edge AI applications, including Generative AI.

    Certified Data
    Analyst (CDA)

    • Introduction to Power BI    fundamentals.
    • Data connectivity, transformation, and cleansing.
    • Mastering DAX (Data Analysis Expressions) for powerful calculations.
    • Building dynamic and interactive dashboards.
    • Power BI deployment, sharing, and security.
    • SQL for Data Retrieval and Management.
    • Python for Data Handling and Exploratory Analysis.

    Certified Data Scientist - ML Track (CDS-ML)

    • Professional Skills and SQL Fundamentals.
    • Python Programming and Data Analysis Libraries (Numpy, Pandas, Matplotlib, Seaborn).
    • Statistics for Data Science (Descriptive, Inferential, Probability).
    • Core Machine Learning Algorithms (Regression, Trees, KNN, K-means).
    • Time Series Forecasting Techniques.
    • Ensemble Methods and Hyperparameter Tuning.
    • Business Intelligence with Power BI (Dashboards, DAX).

    Certified Data Scientist - AI Track (CDS-AI)

    • Professional Skills, Excel, and Database Fundamentals.
    • Python Programming and Data Analysis Libraries (Numpy, Pandas, Matplotlib, Seaborn).
    • Statistics for Data Science (Descriptive, Inferential, Hypothesis Testing).
    • Core Machine Learning, Ensemble Techniques, and Time Series Forecasting.
    • Advanced Model Tuning and Hyperparameter Optimization.
    • Generative AI, Natural Language Processing (NLP), and AI Agents.
    • Big Data Processing, Cloud Concepts, and Model Deployment.

    Learn With a World-Class Curriculum

    Duration

    3 Months

    Description

    Learn to analyze data using foundational tools. This program covers Excel, SQL, and Python to clean and transform data, build interactive dashboards with Power BI, and develop key professional skills for a successful career in data analysis.

    Topics Covered

    • Excel & Database Fundamentals

    • Python & SQL for Data Analysis

    • Business Intelligence with Power BI

    Duration

    6 Months

    Description

    Master the core of machine learning with a focus on practical applications. This course covers everything from Python and SQL fundamentals to machine learning algorithms, time series forecasting, and model tuning for real-world projects.

    Topics Covered

    • Python, Libraries, & SQL

    • Machine Learning Algorithms

    • Ensemble & Time Series Techniques

    Duration

    10 Months

    Description

    Become an AI expert by mastering Python, machine learning, and advanced generative AI concepts. Learn to deploy models using MLOps, work with big data in PySpark, and utilize Databricks for a comprehensive skill set.

    Topics Covered

    • Python, Libraries, & SQL

    • Machine Learning & Generative AI

    • Big Data & Cloud Concepts

    Student Testimonials

    Career Opportunities

    Data Analyst:

    Data insights specialist, Business Intelligence (BI) Analyst

     

    Machine Learning (ML):

    ML Engineer, AI Researcher, Deep Learning Scientist

     

    Scientist:

    Predictive Modeler, Statistical Analyst, Big Data Expert

     

    Consulting:

    Data Strategy Consultant, Analytics Advisor, AI Solutions

    Frequently Asked Question

    • A Data Analyst focuses on understanding past data. An ML Engineer builds and deploys AI models. A Data Scientist uses stats and coding to find insights and make predictions.

    Almost every industry! Tech, finance, healthcare, retail, marketing, and even government agencies are all looking for data and AI talent.

    A foundational understanding of math and statistics is helpful, especially for Data Science and ML. However, many programs teach you the practical math you’ll need.

    1. It varies, but with dedicated learning and practical projects, many individuals find entry-level positions within 6-12 months after completing a specialized program.

    Still Have Questions? We’re Just a Click Away.

    Don’t hesitate to reach out! We’re here to help clarify any doubts you have. Whether you need more details about our courses, career paths, or anything else, our team is ready to provide the answers you need.

    Take Demo Online

    Ready to explore your future? Take our free online demo, it’s just like a personalized career counseling session, designed to guide your path.

     
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    New Batches are coming every month. Both Online & Offline Batches are Available. Hurry and Sign Up Now!

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