[visionlist] 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.nerurkar at 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@ <amandine.deplantes at igonogo.io>utkarshminds.com

www.utkarshminds.com

Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066
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