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Data Science with Python. Use NumPy, Pandas, Matplotlib with hands-on projects and learn Python for Data Science with us
An excellent training about Data Science
Python for Data Science: Learn Data Science From Scratch
Hello there, Ready for the Data Science career? Are you curious about Data Science and looking to start your self-learning journey into the world of data with Python?Are you an experienced developer looking for a landing in Data Science! In both cases, you are at the right place! Welcome to Python for Data Science: Learn Data Science From Scratch coursePython is the most popular programming language for the data science process in recent years and also do not forget that data scientist has been ranked the number one job on several job search sites! With Python skills, you will encounter many businesses that use Python and its libraries for data science. Almost all companies working on machine learning and data science use Pythons Pandas library. Thanks to the large libraries provided, The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Pandas library will be the right choice for you to take part in this world and create your own opportunities, In this course, we will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful libraries such as Numpy, Pandas, and Matplotlib step by step. Throughout the course, 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 Python for Data Science course. 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 featuresHow 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 customizationAnd we will do many exercises. Finally, we will also have 4 different final projects covering all of these subjects. Why would you want to take this course?We have prepared this course in the simplest way for beginners and have prepared many different exercises to help them understand better. No prior knowledge is needed! In this course, you need no previous knowledge about Python, Pandas or Data Science. This course will take you from a beginner to a more experienced level. If you are new to data science or have no idea about what data science does no problem, you will learn anything you need to start data science. If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples. You’ll also get: Lifetime Access to The Course Fast & Friendly Support in the Q & A section Udemy Certificate of Completion Ready for DownloadDive in now Python for Data Science: Learn Data Science From Scratch courseWe offerfull support, answering any questions. See you in the course!
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