Certified Data Science Coder and Engineer (CDSCE)

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Certified Data Science for Engineers & Professionals (CDSEP)Course Description: Are you an engineer or a technical professional looking to enhance your data science skills? Look no further! The Certified Data Science for Engineers and Professionals course is here to provide you with the knowledge and tools necessary to excel in the field of data science. This comprehensive course is designed to bridge the gap between engineering principles and data analysis, empowering you to leverage data-driven insights for informed decision-making and problem-solving. Throughout this course, you will embark on an exciting journey through various key topics in data science. In Session 1, we will delve into the course philosophy and introduce you to the powerful programming language R, a staple in the data science toolkit. Session 2 focuses on Linear Algebra for data science. You will explore the algebraic and geometric views of vectors and matrices, understanding concepts such as product of matrix and vector, rank, null space, solution of over-determined sets of equations, and pseudo-inverse. Additionally, you will dive into the geometric interpretation of vectors, distance, projections, and eigenvalue decomposition. Statistics takes center stage in Session 3, where you will learn about descriptive statistics, the notion of probability, and various distributions. You will gain insights into mean, variance, covariance, and covariance matrix, along with a solid understanding of univariate and multivariate normal distributions. An introduction to hypothesis testing and confidence interval estimation will equip you with essential statistical tools. Session 4 brings you to the realm of Optimization, exploring techniques to maximize or minimize objective functions. You will learn about different optimization algorithms and how to apply them to real-world scenarios. In Session 5, we delve deeper into Optimization and introduce you to the typology of data science problems. By understanding different types of problems, you’ll develop a solution framework to tackle them effectively. Session 6 is dedicated to Regression Analysis. You will start with Simple Linear Regression, examining assumptions used in linear regression models. Then, you will progress to Multivariate Linear Regression, where you’ll explore model assessment, the importance of different variables, and subset selection techniques. Classification takes the spotlight in Session 7. You will learn about Logistic Regression, a powerful method for binary classification tasks. We’ll dive into the intricacies of logistic regression, understanding how to apply it to real-world problems. Session 8 concludes the course by introducing Classification using k-Nearest Neighbors (k NN) and k-means Clustering. You will gain proficiency in these fundamental machine learning techniques and understand how they can be utilized to solve classification problems. By the end of this course, you will have acquired a solid foundation in data science for engineering applications. With the Certified Data Science for Engineers and Professionals course, you’ll be equipped with the skills and knowledge to leverage data effectively, make informed decisions, and propel your career to new heights. Enroll now and embark on your journey to become a certified data scientist!