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Python is open source, interpreted, high level language and provides great approach for object-oriented programming.It is one of the best language used by data scientist for various data science projects/application. Fortunately for beginners, Python has simple easy-to-use syntax. Both of these programming languages are playing their crucial role in the field of data science. Python Tutorials → In-depth articles and tutorials Video Courses → Step-by-step video lessons Quizzes → Check your learning progress Learning Paths → Guided study plans for accelerated learning Community → Learn with other Pythonistas Topics → Focus on a specific area or skill level Unlock All Content It is aimed at people that are not professional coders, people who manage data scientists, BI experts, MBA professionals, and people from other fields, with an interest in understanding the mechanics of some state-of-the-art machine learning techniques, without having to spend months or years learning mathematics, programming, and computer science. As of 2021, it is ranked as the world’s 2nd most popular programming language among professional software developers as well as the first most wanted programming language. Data science is a fast-growing field of computer science with a myriad of applications in the modern world. The Data Science Course using Python and R commences with an introduction to statistics, probability, python and R programming, and Exploratory Data Analysis.Participants will engage with the concepts of Data Mining Supervised Learning with Linear regression and Predictive Modelling with Multiple Linear Regression techniques. We aim to make you proficient in this field by helping you learn both basic and advanced concepts of Data Science, along with getting exposure to programming languages and technologies including Python, R, Hadoop, Tableau, and Spark. Our Data Science certification courses aim to accelerate your Data Science career by making you proficient in this domain. 508 Bishan St 11, #01-386 Singapore 570508. This means, that you don’t have to learn every part of it to be a great data scientist. It introduces data structures like list, dictionary, string and dataframes. It is used in web development, data science, creating software prototypes, and so on. 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