Enroll Course: https://www.coursera.org/learn/integral-calculus-and-numerical-analysis-for-data-science
If you’re venturing into the world of Data Science but find yourself hesitant due to a shaky math background, the ‘Integral Calculus and Numerical Analysis for Data Science’ course on Coursera is an excellent starting point. This course offers an intuitive approach to essential calculus concepts such as integration by parts, finding the area under a curve, and integral computations, making complex topics accessible to beginners. Beyond calculus, it dives into practical numerical analysis methods like root-finding algorithms, which are crucial for data modeling and optimization. Additionally, learners explore advanced matrix techniques including decomposition and singular value decomposition (SVD), vital tools for handling multi-dimensional data. The course also covers foundational topics like partial derivatives and the steepest descent method, empowering students to understand and implement these techniques in statistical modeling and machine learning. Suitable for aspiring data scientists aiming to build a strong mathematical foundation, this course combines theoretical insights with practical applications. I highly recommend it for anyone looking to boost their confidence in maths and enhance their data science toolkit.
Enroll Course: https://www.coursera.org/learn/integral-calculus-and-numerical-analysis-for-data-science