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Data Analytics Course– BI Track (Non-Coding)

Kickstart your data career by mastering top BI tools like Power BI and Tableau—no programming required. Learn to turn raw data into impactful dashboards and reports through hands-on, real-world projects. Become job-ready for high-demand roles in business analytics.

Data analytics with BI

5 months Accelerator
Package: 4-5.5 LACS
Job Role: Data Analyst

Data science and ML

8 months bootcamp
Package: 5-7 LACS
Job Role: ML Engineer

AI driven data science

12 months mastery program
Package: 8-10 LACS
Job Role: Data Scientist

About Course

Today’s data landscape values more than just technical know-how—it demands clear insights, real-world problem solving, and strong business understanding. Our BI Track is designed for non-coders who want to break into data analytics without learning programming.

Gain job-ready skills through hands-on training with leading tools like Power BI and Tableau. Work on real-world projects and business scenarios that build your confidence and practical experience. With expert-led guidance and a well-structured curriculum, you’ll develop both analytical and professional skills to make an immediate impact in any data-driven role.

Key Learning Outcomes

✅ Data fundamentals, business intelligence concepts, and analytical thinking techniques.

✅ Use BI tools to clean, visualize, and analyze business data.

✅ Build interactive dashboards using Power BI for data-driven decision-making.

✅ Apply storytelling techniques to present insights clearly to stakeholders and teams.

✅ Interpret key performance indicators and metrics for business performance evaluation.

✅ Develop data-driven strategies by leveraging insights from various business data sources.

 

Course Module

  • Data Storytelling and Visualization
  • Business Acumen and Problem Solving
  • Communication and Interpersonal Skills
  • Career Preparation
  • Excel Fundamentals
  • Excel Functions
  • Data Cleaning & Transformation
  • Data Analysis with Excel
  • Project Templates
  • Introduction to Power BI
  • Data Connectivity & Transformation
  • Data Modeling & Relationships
  • DAX (Data Analysis Expressions)
  • Building Interactive Dashboards
  • Power BI Deployment & Security
  • Retail
  • Health
  • E-commerce

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 Analytics-BI Track for non-coders and Data Analytics-Python Track 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)

    • Fundamentals of Power BI and Business Intelligence.

    • Data connectivity, transformation, and cleansing workflows.

    • DAX (Data Analysis Expressions) for advanced calculations.

    • Creating dynamic and interactive Power BI dashboards.

    • Deployment, sharing, and security in Power BI.

    • SQL essentials for data retrieval and management.

    • Python basics for data handling and exploratory analysis.

    Certified Data Scientist - ML Track (CDS-ML)

    • Professional skills development and SQL foundations.

    • Python programming with NumPy, Pandas, Matplotlib, and Seaborn.

    • Statistics for Data Science: descriptive, inferential, and probability.

    • Core machine learning algorithms: regression, trees, KNN, and clustering.

    • Time series forecasting and predictive modeling.

    • Ensemble methods and hyperparameter tuning.

    • Business Intelligence with Power BI dashboards and DAX.

    Certified Data Scientist - AI Track (CDS-AI)

    • Professional skills, Excel, and database fundamentals.

    • Python programming with data analysis libraries (NumPy, Pandas, Seaborn).

    • Statistics for Data Science: descriptive, inferential, and hypothesis testing.

    • Core ML, ensemble methods, and time series forecasting techniques.

    • Advanced hyperparameter tuning and model optimization.

    • Generative AI, NLP techniques, and AI-powered agents.

    • Big Data processing, cloud integration, and model deployment.

    Learn With a World-Class Curriculum

    Duration

    5 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

    8 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

    12 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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