Full Stack Data Science with Python, Numpy and R Programming | Data Science Online Course by Udemy

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Learn data science with R programming and Python. Use NumPy, Pandas to manipulate the data and produce outcomes

An excellent training about Data Science

Full Stack Data Science with Python, Numpy and R Programming

Welcome to Full Stack Data Science with Python, Numpy, and R Programming course. Do you want to learn Python from scratch?Do you think the transition from other popular programming languages like Java or C++ to Python for data science?Do you want to be able to make data analysis without any programming or data science experience?Why not see for yourself what you prefer? It may be hard to know whether to use Python or R for data analysis, both are great options. One language isnt better than the otherit all depends on your use case and the questions youre trying to answer. In this course, we offer R Programming, Python, and Numpy! So you will decide which one you will learn. Throughout the course’s first part, you will learn the most important tools in R that will allow you to do data science. By using the tools, you will be easily handling big data, manipulate it, and produce meaningful outcomes. In the second part, we will teach you how to use the Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this course. In this course, you will also learn Numpy which is one of the most useful scientific libraries in Python programming. Throughout the course, we will teach you how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Full Stack Data Science with Python, Numpy and R Programming course. At the end of the course, you will be able to select columns, filter rows, arrange the order, create new variables, group by and summarize your data simultaneously. In this course you will learn;How to use Anaconda and Jupyter notebook, Fundamentals of Python such asDatatypes in Python, Lots of datatype operators, methods and how to use them, Conditional concept, if statementsThe logic of Loops and control statementsFunctions and how to use themHow to use modules and create your own modulesData science and Data literacy conceptsFundamentals of Numpy for Data manipulation such asNumpy arrays and their featuresNumpy functionsNumexpr moduleHow to do indexing and slicing on ArraysLinear AlgebraUsing NumPy in Neural NetworkHow to do indexing and slicing on ArraysLots of stuff about Pandas for data manipulation such asPandas series and their featuresDataframes and their featuresHierarchical indexing concept and theoryGroupby operationsThe logic of Data MungingHow to deal effectively with missing data effectivelyCombining the Data FramesHow to work with Dataset filesAnd also you will learn fundamentals thing about Matplotlib library such asPyplot, Pylab and Matplotlb conceptsWhat Figure, Subplot and Axes areHow to do figure and plot customizationExamining and Managing Data Structures in RAtomic vectors Lists ArraysMatricesData framesTibblesFactorsData Transformation in RTransform and manipulate a deal dataTidyverse and moreAnd we will do many exercises. Finally, we will also have hands-on projects covering all of the Python subjects. Why would you want to take this course?Our answer is simple: The quality of teaching. When you enroll, you will feel the OAK Academy’s seasoned instructors’ expertise. Fresh Content Its no secret how technology is advancing at a rapid rate and its crucial to stay on top of the latest knowledge. With this course, you will always have a chance to follow the latest trends. Video and Audio Production QualityAll our content are created/produced as high-quality video/audio to provide you the best learning experience. You will be, Seeing clearlyHearing clearlyMoving through the course without distractionsYou’ll also get: Lifetime Access to The CourseFast & Friendly Support in the Q & A sectionUdemy Certificate of Completion Ready for DownloadDive in now! We offer full support, answering any questions. See you in the course!

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