Enroll Course: https://www.udemy.com/course/istatistik-python-adan-zye-temel-istatistik-bilimi-6/
As we continue our exciting 7-step journey into the world of Artificial Intelligence, we arrive at the sixth crucial step: mastering the fundamentals of Statistics with Python. This course, ‘İstatistik & Python: A’dan Z’ye Temel İstatistik Bilimi’, is an indispensable resource for anyone looking to build a solid foundation in data science and AI.
The instructor emphasizes the critical role of statistics in our data-driven world. Statistics isn’t just about numbers; it’s about understanding the information we collect, gaining insights, and making informed decisions. For business professionals, it’s a cornerstone of profitability, and in the software world, basic statistical concepts are woven into the fabric of everyday problem-solving.
What sets this course apart is its hands-on approach. You won’t just be watching lectures; you’ll be coding alongside the instructor, starting from scratch with each concept. This ensures a deep understanding of not only *how* to write the code but also the underlying logic and theory behind it. You’ll receive downloadable code templates and examples, empowering you to practice and build your own projects with ease.
The course content is incredibly comprehensive, covering everything from the basics of data and measurement levels to advanced topics like hypothesis testing, ANOVA, and various regression techniques. Key areas explored include:
* **Data Fundamentals:** Understanding data types, populations vs. samples, central tendency, and dispersion.
* **Probability Theory:** Delving into permutations, combinations, conditional probability, Bayes’ Theorem, and various probability distributions (including Gaussian/Normal distributions and Z-scores).
* **Statistical Concepts:** Covering sampling, the Central Limit Theorem, standard error, and hypothesis testing with real-world examples.
* **Advanced Techniques:** Exploring T-distributions, A/B testing, ANOVA, Chi-Square analysis, and different types of regression (linear, multiple linear, and polynomial).
While the course title might suggest a different language, rest assured that the lectures are delivered entirely in Turkish. The instructor’s commitment to providing professional support from a team of Data Scientists means that any questions you have will be answered promptly, usually within 72 hours.
If you’re serious about pursuing AI, machine learning, or data science, a strong grasp of statistics is non-negotiable. This course provides that essential knowledge in an accessible and practical manner. I highly recommend enrolling in ‘İstatistik & Python: A’dan Z’ye Temel İstatistik Bilimi’ to build a robust foundation for your AI aspirations.
Enroll Course: https://www.udemy.com/course/istatistik-python-adan-zye-temel-istatistik-bilimi-6/