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DATA SCIENCE ARTIFICIAL INTELLIGENCE MACHINE LEARNING USING R

DATA SCIENCE ARTIFICIAL INTELLIGENCE MACHINE LEARNING USING R

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The "Data Science, Artificial Intelligence, and Machine Learning using R" course provides a structured introduction to data-driven decision-making techniques. This course is designed to equip learners with foundational knowledge in R programming, data visualization, and machine learning. The hands-on approach ensures students can implement algorithms in real-world scenarios. Participants will gain proficiency in supervised and unsupervised learning techniques and apply them using cloud-based environments. The course concludes with a comprehensive project that consolidates all learned skills.

Learning Outcomes

  • By the end of the course, students will:
  • Understand the fundamentals of R programming.
  • Work with data structures and visualization techniques in R.
  • Gain knowledge of AI and machine learning concepts.
  • Implement various machine learning algorithms for regression, classification, and clustering.
  • Perform cloud-based ML model deployment.
  • Apply business analytics techniques for data-driven decision making.
  • Complete a full-fledged data science project with proper documentation.

Expectations and Goals

This course aims to:

  • Provide a practical introduction to data science and machine learning using R.
  • Enable students to apply theoretical knowledge to real-world data problems.
  • Develop self-sufficiency in building AI and ML models from scratch.
  • Facilitate hands-on learning through cloud-based model implementation.
  • Equip students with business analytics skills to support data-driven decisions.
  • Prepare students for industry-level projects in AI, Data Science, and Business Analytics.
Mode of Training:

  • LIVE Online
  • Offline in Kolkata
  • Offline in Durgapur
  • Offline in Institutions / Companies (for institutional and corporate training)
Basic programming knowledge in any language. Fundamental understanding of statistics and mathematics. Willingness to engage in hands-on coding and data analysis.
Industrial
Professional

Course Modules

  • Industrial


    1. Duration - 40 Hours (2/3/4/6/8 Weeks)
    2. Daily / Weekly Classes
    3. 2 Case Studies & 1 Live Project
    4. Industrial Courses are only for students. You can avail this by producing valid proof of studentship. Work on assignments, case studies, and projects.
    5. WHEN WILL YOUR COURSE/TRAINING/INTERNSHIP START AFTER ADMISSION?

      As per our policy, we start the course/training/internship within 10 days from the date of enrollment. If you enroll for future month/date, our schedule team will coordinate with you and assign your class. To communicate with our schedule team for preferred timing, email to training@ardentcollaborations.com. All courses/internships can be scheduled in customised manner as per your requirements.
    6. Download Content
    7. SUMMER OFFER - SAVE 60%

      20000 8000

  • Professional


    1. Duration - 80 Hours (12/16/20/24 Weeks)
    2. Daily / Weekly Classes
    3. 4 Case Studies & 1 Minor Project & 1 Live Project
    4. Professional Courses are more comprehensive. The learning is case study based and project oriented. Ideal for passout students and working professionals.
    5. WHEN WILL YOUR COURSE/TRAINING/INTERNSHIP START AFTER ADMISSION?

      As per our policy, we start the course/training/internship within 10 days from the date of enrollment. If you enroll for future month/date, our schedule team will coordinate with you and assign your class. To communicate with our schedule team for preferred timing, email to training@ardentcollaborations.com. All courses/internships can be scheduled in customised manner as per your requirements.
    6. Download Content
    7. SUMMER OFFER- SAVE 54%

      45000 20700

Reviews

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"Workshop was great"
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KOMAL KUMARI says
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Maanesh.M says
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NILESH BERA says
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SOUMAJIT PRAMANIK says
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GOPI KISHAN says
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PRIYANSHU SINGH says
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KUNTAL HAZRA says
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Pratyusha Panda says
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Sourav Sahana says
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Rishiraj Saha says
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Koustab Saha says
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Souvik Banerjee says
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Swarup Kumar Paul says
"NA"
BISWARUP MONDAL says
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Arunava Mitra says
"N/A"
Sudipta Banerjee says
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Ankan Ghosh says
"The audio nd video quality to be improved"
ABHIJIT SHARMA says
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