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Career Elite Program In Data Analytics(M-CEPDA-5194)

  • Last updated Jul, 2026
  • Certified Course

Course Includes

  • Duration2 Years
  • Lectures240
  • Videos0
  • Notes0
  • CertificateYes

What you'll learn

The Career Elite Program in Data Analytics is a comprehensive 2-year career-focused program designed to prepare students for the rapidly growing field of Data Analytics and Business Intelligence. The curriculum covers everything from computer fundamentals and Python programming to SQL, Power BI, Tableau, Artificial Intelligence tools, and real-world business analytics.

Students gain extensive hands-on experience through practical assignments, live projects, case studies, and portfolio development while learning industry-standard tools used by leading organizations. The program emphasizes analytical thinking, data visualization, business reporting, and AI-powered productivity to build strong problem-solving skills.

Along with technical training, students also receive career development sessions, resume building, LinkedIn profile optimization, interview preparation, communication skills training, and professional portfolio guidance to become job-ready for the corporate world.

By the end of the program, learners will have the practical knowledge and confidence required to pursue careers as Data Analyst, Business Analyst, BI Analyst, Reporting Analyst, MIS Executive, Data Visualization Specialist, and other data-driven roles.

Placement Support: Eligible students receive dedicated placement assistance, including career mentoring, interview preparation, resume support, and job opportunity guidance through our placement support network.

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Course Syllabus

Semester – I (Digital & Programming Foundation)

  1. Computer Fundamentals & Digital Literacy
  2. Windows Environment & File Management
  3. Microsoft Excel for Data Analytics
  4. Python Programming Fundamentals
  5. Database Fundamentals & DBMS
  6. SQL using MySQL
  7. Internet, Cloud Computing & AI Productivity
  8. Statistics for Data Analytics
  9. Professional Communication & Workplace Skills
  10. Practical Lab & Mini Project

Semester – II (Data Analysis & Visualization)

  1. Advanced Python Programming
  2. NumPy & Pandas
  3. Data Cleaning & Data Wrangling
  4. Exploratory Data Analysis (EDA)
  5. Advanced Excel Dashboard & Automation
  6. Data Visualization (Matplotlib, Seaborn & Plotly)
  7. Business Analytics Fundamentals
  8. AI Tools for Data Analytics (ChatGPT, Copilot & Gemini)
  9. Career Development & Employability Skills – I
  10. Practical Analytics Project

Semester – III (Business Intelligence & Advanced Analytics)

  1. Advanced SQL for Data Analytics
  2. Power BI
  3. Tableau
  4. DAX & Power Query
  5. Business Intelligence & Reporting
  6. Real Business Case Studies
  7. Data Storytelling & Presentation
  8. Predictive Analytics Fundamentals
  9. Career Development & Employability Skills – II
  10. Portfolio Development Project

Semester – IV (Industry Readiness & Career Development)

  1. Business Reporting & Decision Making
  2. Time Series Analysis & Forecasting
  3. AI for Business Analytics
  4. Business Intelligence Project
  5. Git & GitHub for Professionals
  6. Resume, LinkedIn & Portfolio Development
  7. Internship / Industrial Training
  8. Major Industry Project
  9. Viva Voce & Practical Examination
  10. Placement Assessment

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