Real time Data Analysis and Visualization in Python
3.0 (7 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,562 students enrolled

Real time Data Analysis and Visualization in Python

Analyze 'COVID' real time data . Learn Plotting of line graphs, scatterplots, box-plots , histogram etc
3.0 (7 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,562 students enrolled
Created by Sridevi Taradi
Last updated 5/2020
English
English [Auto]
Current price: $16.99 Original price: $24.99 Discount: 32% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 1 hour on-demand video
  • 1 downloadable resource
  • 2 coding exercises
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
  • Certificate of Completion
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What you'll learn
  • Installation of Pycharm for Python Programming
  • Concepts of Pandas, Numpy
  • Graph plotting using MatplotLib
  • Data Analysis concepts
  • Data Visualization concepts
  • Statistical Data Analysis i.e count, mean, standard deviation, max, min etc
  • Eg- Boxplot , Line graph, Scatterplot, histogram etc
Requirements
  • Basic understanding of python
Description

COVID real time data has been used for analysis.

The course is based on analysis and visualization of data basically for students keen to learn data sciences.

Learn Plotting of line graphs, scatterplots, box-plots , histogram etc . Read data sets, understand the data set, clean data, identify anamolies through visualisations.

Plot using several functions of library files like numpy, pandas, matplotlib . It contains one small test on the course learnt. A data set is provided for coding and practise purpose.

Data Analysis and Visualization using Python

1. Installation of Pycharm for Python

2. Importing pandas for

3. What is data analysis?

4. Understanding the data set.

5. Reading from a csv ,excel file.

6. Understanding relationships between data.

7. What is data Visualisation?

8. Installation of matplotlib for creating visualisation

9. Correlation

10. Tools:-

11. Scatter

12. Boxplot

13. Histogram

14. Line graph

15. Pie chart

Who this course is for:
  • Beginner Python Developers curious about Data Science and Data Visualisation
Course content
Expand 18 lectures 52:03
+ Introduction to Data Analysis and Data Visualisation
18 lectures 52:03
Install python 3.5 using pycharm or any other open source tool
Install Python
1 question
Reading a real time 'Pandemic' data set from a excel sheet or excel workbook
03:28
Reading from a csv file
01:59
Creating a dataframe for Covid data analysis
04:36
Write a piece of code to read data from a csv file and load /print it in the python console.
1 question
Programming to plot Pie chart & Visualize Covid affected nations in percentage
02:39
Comparative analysis of Covid data through plotting
04:40
Understanding the data set
02:09
Computation of count, mean, standard deviation using Pandas and Matplotlib
03:21
Data Analysis : Understanding the inconsistencies in data using histogram
01:46
Line Graph creation using matplotlib
03:34
Run code to create a line graph with BMI on x axis & Insulin on y axis using the dataset ' diabetes'
1 question
Scatter plot: Acesss impact of one variable over another.
03:59
Quiz 1
5 questions
Use of Histogram to visualize the data
01:45
Enhancing the visual representation while plotting in matplotlib
01:56
Installation of Seaborn
01:35