Enroll Course: https://www.udemy.com/course/datascience-statistics/
The ‘Statistics for Data Science’ course on Udemy is a highly recommended starting point for anyone looking to build a solid foundation in statistical mathematics, which is crucial for data science. This course simplifies complex statistical concepts using Excel, making it accessible even for beginners. The instructor emphasizes that understanding stats is about 80% of data science, with programming taking the remaining 20%, advocating a strong grasp of statistical fundamentals before diving into tools like Python or R.
The course covers a broad spectrum of topics, beginning with basic descriptive statistics such as averages, modes, and data visualization. It progressively moves into more advanced areas like standard deviation, normal distribution, and the empirical rule, which are essential for understanding data behavior. Notably, the course also explores probability concepts through Z-scores and binomial distribution, providing practical calculations and applications in Excel.
What sets this course apart is its practical approach—using Excel as a teaching tool, which is widely accessible and easy to learn. This approach demystifies complex statistical ideas and prepares students to apply these concepts confidently in real-world data science projects.
I highly recommend this course for beginners and intermediate learners who want to strengthen their statistical skills before jumping into programming languages. Mastering statistics early on will significantly enhance your data analysis capabilities and overall understanding of data science.
Enroll Course: https://www.udemy.com/course/datascience-statistics/