Python Data Analysis and Science Essentials for Beginners.

Video Tutorials, Courses

Python Data Analysis and Science Essentials for Beginners.
Created by Fanuel Mapuwei | Last updated 5/2021
Duration: 4h 54m | 9 sections | 56 lectures | Video: 1280x720, 44 KHz | 1.23 GB
Genre: eLearning | Language: English + Sub

Learn Python Data Science Essential Course for Data Analysis and Visualization, this course is Essentials for absolute bners and Intermediate in order to move forward to the advanced level class.


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

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

CreativityComputer with either MacOs, Windows or LinuxPyCharm or Anaconda (Jupyter Notebook)

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 bner 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 LanguageBner Python learners who are curious with Machine learning and Data Science






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