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Who Is This Program For?

Fresh Graduates, Managers, Engineers, Software and IT Professionals, Marketing & Sales Professionals, etc. who are beginners in programming .

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Top Skills You Will Learn?

Important Python Syntaxes, Logic Building for Programming, Programming using Python, Database Programming in Python using NumPy and Pandas libraries Database Programming in SQL.

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Minimum Eligibility

Interest in learning Python Programming is a must. The admission committee will review and shortlist relevant profiles. 

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About the Python Data Science Course??

Edureka's Training of Data Science with Python not only focuses on its fundamentals, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. This Data Science with Python Training course is a step by step guide to Python and Data Science with extensive hands on. The Python Data Science course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problem that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds. Furthermore, in this Data Science with Python Certification course you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms. Edureka’s course of Python for Data Science will also cover both basic and advanced concepts like writing Python scripts, sequence and file operations. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like machine learning, scripts, and sequence. 

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Why Learn Python?

Python has been one of the premier, flexible, and powerful open-source languages that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, It has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It's continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger. It has evolved as the most preferred Language for Data Analytics and the increasing search trends also indicate that it is the Next Big Thing and a must for Professionals in the Data Analytics domain.