Data Science & Analytics

Become a data-driven decision maker. Learn data analysis, visualization, and machine learning tools and techniques to extract insights and drive business growth.

Course Highlights:

  • Python for Data Science (NumPy, Pandas, SciPy)
  • Data Wrangling, Cleaning, and Preprocessing
  • Data Visualization with Matplotlib, Seaborn, and Tableau Basics
  • Statistics & Probability for Data Science
  • Machine Learning Algorithms (Supervised, Unsupervised, Regression, Classification)
  • SQL for Data Analysis
  • Capstone Project & Real-world Case Studies
  • Career Guidance & Placement Support

Duration:

4 Months (Approx. 320+ hours of training)

Eligibility:

Any graduate or undergraduate with basic programming or statistics knowledge. No prior data science experience required.

Why This Course?

  • Data Science is a rapidly growing field with high demand.
  • Learn to make data-driven decisions and solve complex problems.
  • Acquire skills for roles like Data Scientist, Data Analyst, ML Engineer.
  • Build a strong portfolio with practical projects.
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Student Testimonial
Deepa Singh

Data Scientist at Analytics Firm

"The Data Science program was incredibly insightful. The trainers made complex topics easy to understand, and the focus on real-world applications truly prepared me for my role as a Data Scientist."