Data Science

Explore the dynamic field of Data Science, where data becomes actionable insights. This course covers foundational concepts, statistical analysis, and machine learning techniques using Python and essential tools. Dive into hands-on projects, learn data cleaning, exploratory analysis, and build predictive models. Develop skills in data visualization, communicate findings effectively, and complete a real-world capstone project. Gain a comprehensive understanding of Data Science, empowering you to navigate the data-driven landscape with confidence.

Learning Format:
– Live interactive classes
– Recorded tutorials for flexible learning
– Hands-on exercises and projects to concepts
– 24/7 doubt clearing facility

Format:

• Self-paced online course with video lectures and practical exercises.
• Real-world case studies and projects for hands-on application.
• Capstone project to showcase mastery of Embedded Systems Courses skills.

Assignments:
– Daily hands-on exercises to Data Science Courses
– Project-based assessments to apply knowledge in practical scenarios.

Grading Criteria:

• Data cleaning and preprocessing (20%)
• Exploratory Data Analysis (15%)
• Feature selection and engineering (15%)
• Model building and evaluation (30%)
• Documentation and presentation (15%)
• Reflection on challenges and improvements (5%)

Final Project:

• Final Project Overview
  • Planning and executing a Data Science Courses project
  • Showcasing learned skills
• Course Recap and Next Steps
  • Reviewing key concepts
  • Resources for ongoing learning
• Certification:
  • Comprehensive assessment covering the entire course
  • Practical problem-solving and application of knowledge