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Data Analysis and Data Visualization With Python By Spotle.ai

person icon Spotle Learn

3.9

Data Analysis and Data Visualization With Python By Spotle.ai

Mastering data analysis and data visualization is not difficult. This course gives your learning a 360 degree coverage.

updated on icon Updated on May, 2024

language icon Language - English

person icon Spotle Learn

English [CC]

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

Lectures -62

Duration -5 hours

3.9

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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

What will you learn in this course:

  • 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

What are the prerequisites for this course?

  • A computer (either Mac, Windows, or Linux)
  • Basic maths or statistics skills
  • Basic to intermediate python programming skills
Data Analysis and Data Visualization With Python By Spotle.ai

Curriculum

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

Introduction
4 Lectures
  • play icon Installing Python 02:42 02:42
  • play icon Installing Jupyter Notebook 02:36 02:36
  • play icon Installing PyCharm 03:51 03:51
  • play icon Python Programs In Many Ways 05:45 05:45
Working With Numbers In Python
3 Lectures
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Working With Strings In Python
4 Lectures
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Handling Files In Python
3 Lectures
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Modules And Packages
2 Lectures
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The NumPy Library
2 Lectures
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Basic Statistics
7 Lectures
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Data Manipulation With Pandas Library In Python
5 Lectures
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Data Visualization With Python
3 Lectures
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Dealing With Missing Data
2 Lectures
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Random Variables
8 Lectures
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Statistical Inference
3 Lectures
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Test Of Hypothesis
4 Lectures
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Contingency Tables
2 Lectures
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Linear Regression With Python
5 Lectures
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Logistic Regression With Python
5 Lectures
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Instructor Details

Spotle Learn

Spotle Learn


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