Python Data Analysis and Science Essentials for Beginners
Python Data Analysis and Science Essentials for Beginners.
Duration: 4h 32m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.22 GB
Genre: eLearning | Language: English
Duration: 4h 32m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.22 GB
Genre: eLearning | Language: English
Learn Pandas, Numpy, Random, Seaborn, Matplotlib, Binary Files and Find your way to Machine Learning and Data Science
What you'll learn
Have a full understanding of Python Programming Language
Acquire adequate hands-on skills and confidence to use Python for Machine learning and Data Science
Straight forward Programming Methodology
Able to design well organized and problem-solving programs
Object Oriented Programming (OOP)
Python Pandas, Numpy, Random, Seaborn, Matplotlib and Binary Files
Requirements
Creativity
Computer with either MacOs, Windows or Linux
PyCharm or Anaconda (Jupyter Notebook)
Description
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.
Who this course is for:
Intermediate learners who wish to go further with Python Programming Language
Beginner Python learners who are curious with Machine learning and Data Science
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