September 24th, 2024 
Daniela Lopez de Luise Dear Community/Scientists/Professors/Researchers,
Greetings of the day!!
Launching a Two month self-paced training on Generative AI for data science project building and Creating Docker containers for Machine learning devops.
Fees: $8 (EUR 7.75)
Key Features:
Regards
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@utkarshminds.com
Phone: +919619997797
Key Features:
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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.
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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.
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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.
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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.
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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
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