This course is aimed at offering the fundamental concepts of core Python programming language to the all levels of learners. This course is aimed at offering the fundamental concepts of core Python programming language to the all levels of learners. You will learn through videos, visual organizers and practice exercises. For a great hands-on learning experience, this course is packed with assignments, assessment tests, code challenges, quizzes, and exercises. Part-1: Core Python Programming Basics- starts with the basics of Python programming concepts like introduction, history & versions, features, uses, applications of python, data types, operators and control flow statements.
A general-purpose interpreted programming language, Python is used mainly for web development. It is also a very popular machine learning and data analysis tool. Considering Python is one of the most popular programming languages and its rising demand across industries, it's only natural that more and more professionals are looking to learn the language. To help you understand this programming language better, we have compiled a list of the top books for beginners and advanced. All of these books have been recommended by the Python community.
The primary goal of this course is to provide you a comprehensive learning framework to use Python for data science. Data Science with Python involves not only using Python language to clean, analyze and visualize data, but also applying Python programming skills to predict and identify trends useful for decision-making. Since data revolution has made data as the new oil for organizations, today's decisions are driven by multidisciplinary approach of using data, mathematical models, statistics, graphs, databases for various business needs such as forecasting weather, customer segmentation, studying protein structures in biology, designing a marketing campaign, opening a new store, and the like. The modern data-powered technology systems are driven by identifying, integrating, storing and analyzing data for useful business decisions. Scientific logic backed with data provides solid understanding of the business and its analysis.