Data Analysis and Data Visualization With Python
Mastering data analysis and data visualization is not difficult. This course gives your learning a 360 degree coverage.
Updated on Oct, 2024
Language - English
Development ,Data Science,Python
Lectures -62
Duration -5 hours
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Course Description
Data analysis and data visualization have become key industry drivers in the global job and opportunity market. A career in data analysis or data visualization is something that many people are aspiring and preparing for. This course is designed for the enthusiasts to give a 360 degree coverage. The course will help people learn the essentials skills, as well help them solve complex business problems. For the enthusiasts who want to make it big into data science as a whole, this course is an ideal learning.
Goals
- A 360 degree coverage of data analysis and data visualization.
- Python programming essentials for data analysis and data visualization.
- A lot of examples with real-life problem solving and a lot of python coding.
- Using numpy library to create and manipulate arrays.
- Working with various data formats using python.
- Using Jupyter and PyCharm Notebook Environment.
- Using the pandas module in python to create and structure data.
- Data visualizations using matplotlib in python.
- Statistics for data analysis and several models.
- Data distribution and statistical inference.
- Linear regression analysis with python.
- Logistic regression analysis with python.
Prerequisites
- A computer (either Mac, Windows, or Linux)
- Basic maths or statistics skills
- Basic to intermediate python programming skills
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
4 Lectures
-
Installing Python
02:42
02:42
-
Installing Jupyter Notebook
02:36
02:36
-
Installing PyCharm
03:51
03:51
-
Python Programs In Many Ways
05:45
05:45
Working With Numbers In Python
3 Lectures
Working With Strings In Python
4 Lectures
Handling Files In Python
3 Lectures
Modules And Packages
2 Lectures
The NumPy Library
2 Lectures
Basic Statistics
7 Lectures
Data Manipulation With Pandas Library In Python
5 Lectures
Data Visualization With Python
3 Lectures
Dealing With Missing Data
2 Lectures
Random Variables
8 Lectures
Statistical Inference
3 Lectures
Test Of Hypothesis
4 Lectures
Contingency Tables
2 Lectures
Linear Regression With Python
5 Lectures
Logistic Regression With Python
5 Lectures
Instructor Details
Spotle Learn
Spotle Learn provides career ready courses in Artificial Intelligence, Data Science, Programming, Cloud Computing, IoT, Blockchain, AR and VR, Astronomy and Astrophysics and other in-demand skill areas. We have trained and certified over 100,000 people. Students from 2500 college campuses and leading corporates learn on Spotle to meet their career goals.
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