Data Science: Exploratory Data Analytics (EDA) Techniques
Data Science Practical Real-Life Practical Approach
Data Analysis,Data Science and AI ML,Python
Lectures -16
Resources -4
Duration -1 hours
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Course Description
This course gives you competency as it focuses on a practical approach only, I have summarized the essential concept necessary to be a master in real-life Data Science approach. I have tried my best to give a detailed explanation and a clear demonstration of how well data is represented. Data Science has become more prevalent in all significant areas like the Health sector, financial market, marketing teams, accounting and manufacturing industries. Data science gives accurate predictions on analyzed data and gives clear outcomes for the organization to make decision-based on the analysis which has been made. In this course, I have demonstrated how to gather data from various sources then clean the data and make analysis for decision-making. In this course, we focus on EDA Techniques and practical tasks only to make sure that you are well-equipped the competence-based skills.
Goals
What will you learn in this course:
- Data Cleaning
- Identifying Independent variables and dependent variables
- Application of EDA techniques
- Data Science Competency in real world
Prerequisites
What are the prerequisites for this course?
- Google Colab shall be used in this course there for an internet connection is mandatory for University students and Professionals
- Anaconda Jupyter notebook is to be used as an alternative and the setup has been demonstrated
- Download the given datasets before proceeding with the lecture
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Data Science Practical Approach
6 Lectures
- Welcome Video 02:35 02:35
- Downloading Python and Anaconda for the course 03:55 03:55
- Anaconda Installation and Opening Jupyter Notebook 03:47 03:47
- Libraries 02:59 02:59
- Getting csv on Jupyter notebook for our Data Science approach course 03:26 03:26
- Getting started with Google Colab 01:59 01:59
Data Science Practical Session Part1
7 Lectures
Data Science Practical Session Part 2
3 Lectures
Instructor Details
Fanuel Mapuwei
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