Python Data Analysis and Science Essentials for Beginners.

Python Data Analysis and Science Essentials for Beginners.

Learn Pandas, Numpy, Random, Seaborn, Matplotlib, Binary Files and Find your way to Machine Learning and Data Science

Language : english

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Learn Python Data Science Essential Course for Data Analysis and Visualization, this course is Essentials for absolute beginners and Intermediate in order to move forward to the advanced level class. In this course we are going to cover from Python basics (Data Structures, Statements and loop control, Object oriented programming, Lambda, Modular Programming …etc) and also move forward to Data Science Starting with Pandas, Numpy, Random, Seaborn and Matplotlib. With this course, you can start your journey in Data Science and Machine Learning all you need is your creativity and problem solving skills. With this course you can add confidently, programming skills competence in your resume. Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.

This course will make sure that you grasp all the necessary essential concept as a beginner and push forward to advanced level, in your programming career. So, Data Science is primarily used to make decisions and predictions making use of predictive causal analytics, prescriptive analytics (predictive plus decision science) and machine learning. Data Science has become one of the popular technical skill set in 21th Century. This course will make you start your journey in Data Science and Machine Learning. 

In Addition, if you are an expert with full and enough knowledge about Data Science this course is not for you and if you are in advanced class already this course is not for you again. But if you are already a programmer and you wish to learn Python Programming Language while specifically focusing on Data Science, then this course is for you definitely.

In this course we will be using PyCharm and Anaconda (Jupyter Notebook) as our IDE.

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