Two month online self-paced training on Linear Machine Learning, Generative AI for data science

[PRANAV NERURKAR]

Dear Community/Scientists/Professors/Researchers,

Greetings of the day!!

(Apologies in case of multiple receptions)

 
Launching a Two month self-paced training on Linear Machine Learning, Generative AI for data science project building and Creating Docker containers for Machine learning devops.

More info: https://internships.utkarshminds.com/courses/Python-Statistics-Data-analysis-and-Generative-AI-Combination-66c9b728d5db276fc548a735

Fees: $14 (EUR 14.75)

Why Should You Enroll?

• Comprehensive Curriculum: Learn practical and theoretical aspects of Python
• Expert Guidance: Get trained by professionals with extensive experience in the field.
• Affordable Fees: Gain valuable skills 
• Career Advancement: Enhance your resume and improve your job prospects.

Contact Details: Pranav Nerurkar

Email: pranav....@utkarshminds.com
Phone: +919619997797

Key Features:

1. Interactive Video Lectures:

   • Learn the fundamentals of Two Sample Hypothesis Testing through engaging and informative video lectures.
   • Understand key concepts such as null and alternative hypotheses, t-tests, z-tests, p-values, and confidence intervals.

2. Hands-On Coding Assignments:

   • Apply the theoretical knowledge gained from the lectures by completing coding assignments in languages such as Python or R.
   • Work on real datasets to practice setting up hypotheses, running statistical tests, and interpreting results.
   • Get step-by-step guidance on writing and debugging code to ensure accurate and efficient analysis.

3. Practical Applications:

   • Explore various case studies and examples that illustrate the application of Two Sample Hypothesis Testing in different fields such as healthcare, finance, marketing, and more.
   • Engage in projects that mimic real-life scenarios where hypothesis testing is crucial for decision-making.

4. Mentorship and Support:

   • Receive mentorship from experienced statisticians and data scientists.
   • Participate in Q&A sessions and discussion forums to clarify doubts and enhance your learning experience.

5. Certification:

   • Earn a certificate upon successful completion of the internship, showcasing your skills and knowledge in Two Sample Hypothesis Testing.
   • Add this valuable credential to your resume or LinkedIn profile to boost your career prospects.

Requirements:

• Basic understanding of statistics and programming.
• A computer with internet access.
• Willingness to learn and apply new concepts.

Duration:

• The course is self-paced and can be completed within 4-6 weeks, depending on your schedule and pace of learning.

Regards

Warm and Kind regards,

Pranav A. NERURKAR Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066