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Data Science: Exploratory Data Analytics (EDA) Techniques

person icon Fanuel Mapuwei

4.2

Data Science: Exploratory Data Analytics (EDA) Techniques

Data Science Practical Real-Life Practical Approach

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Fanuel Mapuwei

English [CC]

category icon Data Analysis,Data Science and AI ML,Python

Lectures -16

Resources -4

Duration -1 hours

4.2

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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
Data Science: Exploratory Data Analytics (EDA) Techniques

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to Data Science Practical Approach
6 Lectures
  • play icon Welcome Video 02:35 02:35
  • play icon Downloading Python and Anaconda for the course 03:55 03:55
  • play icon Anaconda Installation and Opening Jupyter Notebook 03:47 03:47
  • play icon Libraries 02:59 02:59
  • play icon Getting csv on Jupyter notebook for our Data Science approach course 03:26 03:26
  • play icon Getting started with Google Colab 01:59 01:59
Data Science Practical Session Part1
7 Lectures
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Data Science Practical Session Part 2
3 Lectures
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Instructor Details

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Fanuel Mapuwei

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