Exploratory Data Analysis with Pandas and Python 3.x

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Online

£ 10 + VAT

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Analyze and visualize your data to make it compelling and meaningful.How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on course shows non-programmers how to process information that’s initially too messy or difficult to access. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently.This course will take you from Python basics to explore many different types of data. Throughout the course, you will be working with real-world datasets to retrieve insights from data. You'll be exposed to different kinds of data structure and data-related problems. You'll learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!All the code files and related files are placed on the GitHub at this link About the AuthorMohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he worked as a Python developer at Qualcomm. He completed his Master's degree in Computer Science from IIT Delhi, with a specialization in data engineering. His areas of interests include recommended systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the Higher Education industry.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Improve your understanding of descriptive statistics and apply them over a dataset
Learn how to deal with missing data and outliers to resolve data inconsistencies
Explore various visualization techniques for bivariate and multivariate analysis
Enhance your programming skills and master data exploration and visualization in Python
Learn multidimensional analysis and reduction techniques
Master advanced visualization techniques (such as heatmaps) for better analysis and rapidly broaden your understanding

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This centre's achievements

2021

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The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Statistics
  • Data analysis
  • Protocol

Course programme

Descriptive Statistics 6 lectures 37:30 The Course Overview This video will give you an overview about the course. Basic Statistical Measures Before moving on to the coding part of the course, we must lay the foundation of descriptive statistics which will be used heavily throughout the course.
  • Explore the various measure of statistics like mean, median, and mode
  • Understand the various properties of these measures
  • Learn how to calculate these statistical measures
Variance and Standard Deviation Once we have learned how to calculate these statistical measures, we move on to visualizing them in the form of graphs for better understanding.
  • Explore the various graphs through which we can visualize the statistical measures
  • Understand the visualization changes with change in values of these measures
  • Explore alternate graphs for visualizations
Visualizing Statistical Measures We must understand the importance of variance in data and how it ties up with other measures of central tendencies.
  • Explore the concept of variance
  • Visualize variance in data
  • Understand how it depends on other statistical measures
Calculating Percentiles Percentiles allow us to interpret data in a more readable format. We will explore how they are calculated and what information they give regarding the dataset.
  • Understand what are iterators and the iterator protocol
  • Implement iterators in Python
  • Implement generators in Python using the yield keyword
Quartiles and Box Plots Once we are done with percentiles and how they can be calculated, we move on to the concept of Quartiles and how to visualize them using box plots.
  • Understand the concept of Quartiles
  • Visualize percentiles and Quartiles using box plots
  • Get a better understanding of box plots
Descriptive Statistics - Quiz Descriptive Statistics 6 lectures 37:30 The Course Overview This video will give you an overview about the course. Basic Statistical Measures Before moving on to the coding part of the course, we must lay the foundation of descriptive statistics which will be used heavily throughout the course.
  • Explore the various measure of statistics like mean, median, and mode
  • Understand the various properties of these measures
  • Learn how to calculate these statistical measures
Variance and Standard Deviation Once we have learned how to calculate these statistical measures, we move on to visualizing them in the form of graphs for better understanding.
  • Explore the various graphs through which we can visualize the statistical measures
  • Understand the visualization changes with change in values of these measures
  • Explore alternate graphs for visualizations
Visualizing Statistical Measures We must understand the importance of variance in data and how it ties up with other measures of central tendencies.
  • Explore the concept of variance
  • Visualize variance in data
  • Understand how it depends on other statistical measures
Calculating Percentiles Percentiles allow us to interpret data in a more readable format. We will explore how they are calculated and what information they give regarding the dataset.
  • Understand what are iterators and the iterator protocol
  • Implement iterators in Python
  • Implement generators in Python using the yield keyword
Quartiles and Box Plots Once we are done with percentiles and how they can be calculated, we move on to the concept of Quartiles and how to visualize them using box plots.
  • Understand the concept of Quartiles
  • Visualize percentiles and Quartiles using box plots
  • Get a better understanding of box plots
Descriptive Statistics - Quiz The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. This video will give you an overview about the course. This video will give you an overview about the course. Basic Statistical Measures Before moving on to the coding part of the course, we must lay the foundation of descriptive statistics which will be used heavily throughout the course.
  • Explore the various measure of statistics like mean, median, and mode
  • Understand the various properties of these measures
  • Learn how to calculate these statistical measures
Basic Statistical Measures Before moving on to the coding part of the course, we must lay the foundation of descriptive statistics which will be used heavily throughout the course.
  • Explore the various measure of statistics like mean, median, and mode
  • Understand the various properties of these measures
  • Learn how to calculate these statistical measures
Basic Statistical Measures Before moving on to the coding part of the course, we must lay the foundation of descriptive statistics which will be used heavily throughout the course.
  • Explore the various measure of statistics like mean, median, and mode
  • Understand the various properties of these measures
  • Learn how to calculate these statistical measures
Basic Statistical Measures Before moving on to the coding part of the course, we must lay the foundation of descriptive statistics which will be used heavily throughout the course.
  • Explore the various measure of statistics like mean, median, and mode
  • Understand the various properties of these measures
  • Learn how to calculate these statistical measures
Before moving on to the coding part of the course, we must lay the foundation of descriptive statistics which will be used heavily throughout the course.
  • Explore the various measure of statistics like mean, median, and mode
  • Understand the various properties of these measures
  • Learn how to calculate these statistical measures
Before moving on to the coding part of the course, we must lay the foundation of descriptive statistics which will be used heavily throughout the course.
  • Explore the various measure of statistics like mean, median, and mode
  • Understand the various properties of these measures
  • Learn how to calculate these statistical measures
Variance and Standard Deviation Once we have learned how to calculate these statistical measures, we move on to visualizing them in the form of graphs for better understanding.
  • Explore the various graphs through which we can visualize the statistical measures
  • Understand the visualization changes with change in values of these measures
  • Explore alternate graphs for visualizations
Variance and Standard Deviation Once we have learned how to calculate these statistical measures, we move on to visualizing them in the form of graphs for better understanding.
  • Explore the various graphs through which we can visualize the statistical measures
  • Understand the visualization changes with change in values of these measures
  • Explore alternate graphs for visualizations
Variance and Standard Deviation Once we have learned how to calculate these statistical measures, we move on to visualizing them in the form of graphs for better understanding.
  • Explore the various graphs through which we can visualize the statistical measures
  • Understand the visualization changes with change in values of these measures
  • Explore alternate graphs for visualizations
Variance and Standard Deviation Once we have learned how to calculate these statistical measures, we move on to visualizing them in the form of graphs for better understanding.
  • Explore the various graphs through which we can visualize the statistical measures
  • Understand the visualization changes with change in values of these measures
  • Explore alternate graphs for visualizations
Once we have learned how to calculate these statistical measures, we move on to visualizing them in the form of graphs for better understanding.
  • Explore the various graphs through which we can visualize the statistical measures
  • Understand the visualization changes with change in values of these measures
  • Explore alternate graphs for visualizations
Once we have learned how to calculate these statistical measures, we move on to visualizing them in the form of graphs for better understanding.
  • Explore the various graphs through which we can visualize the statistical measures
  • Understand the visualization changes with change in values of these measures
  • Explore alternate graphs for visualizations
Visualizing Statistical Measures We must understand the importance of variance in data and how it ties up with other measures of central tendencies.
  • Explore the concept of variance
  • Visualize variance in data
  • Understand how it depends on other statistical measures
Visualizing Statistical Measures We must understand the importance of variance in data and how it ties up with other measures of central tendencies.
  • Explore the concept of variance
  • Visualize variance in data
  • Understand how it depends on other statistical measures
Visualizing Statistical Measures We must understand the importance of variance in data and how it ties up with other measures of central tendencies.
  • Explore the concept of variance
  • Visualize variance in data
  • Understand how it depends on other statistical measures
Visualizing Statistical Measures We must understand the importance of variance in data and how it ties up with other measures of central tendencies.
  • Explore the concept of variance
  • Visualize variance in data
  • Understand how it depends on other statistical measures
We must understand the importance of variance in data and how it ties up with other measures of central tendencies.
  • Explore the concept of variance
  • Visualize variance in data
  • Understand how it depends on other statistical measures
We must understand the importance of variance in data and how it ties up with other measures of central tendencies.
  • Explore the concept of variance
  • Visualize variance in data
  • Understand how it depends on other statistical measures
Calculating Percentiles Percentiles allow us to interpret data in a more readable format. We will explore how they are calculated and what information they give regarding the dataset.
  • Understand what are iterators and the iterator protocol
  • Implement iterators in Python
  • Implement generators in Python using the yield keyword
Calculating Percentiles Percentiles allow us to interpret data in a more readable format. We will explore how they are calculated and what information they give regarding the dataset.
  • Understand what are iterators and the iterator protocol
  • Implement iterators in Python
  • Implement generators in Python using the yield keyword
Calculating Percentiles Percentiles allow us to interpret data in a more readable format. We will explore how they are calculated and what information they give regarding the dataset.
  • Understand what are iterators and the iterator protocol
  • Implement iterators in Python
  • Implement generators in Python using the yield keyword
Calculating Percentiles Percentiles allow us to interpret data in a more readable format. We will explore how they are calculated and what information they give regarding the dataset.
  • Understand what are iterators and the iterator protocol
  • Implement iterators in Python
  • Implement generators in Python using the yield keyword
Percentiles allow us to interpret data in a more readable format. We will explore how they are calculated and what information they give regarding the dataset.
  • Understand what are iterators and the iterator protocol
  • Implement iterators in Python
  • Implement generators in Python using the yield keyword
Percentiles allow us to interpret data in a more readable format. We will explore how they are calculated and what information they give regarding the dataset.
  • Understand what are iterators and the iterator protocol
  • Implement iterators in Python
  • Implement generators in Python using the yield keyword
Quartiles and Box Plots Once we are done with percentiles and how they can be calculated, we move on to the concept of Quartiles and how to visualize them using box plots.
  • Understand the concept of Quartiles
  • Visualize percentiles and Quartiles using box plots
  • Get a better understanding of box plots
Quartiles and Box Plots Once we are done with percentiles and how they can be calculated, we move on to the concept of Quartiles and how to visualize them using box plots.
  • Understand the concept of Quartiles
  • Visualize percentiles and Quartiles using box plots
  • Get a better understanding of box plots
Quartiles and Box Plots Once we are done with percentiles and how they can be calculated, we move on to the concept of Quartiles and how to visualize them using box plots.
  • Understand the concept of Quartiles
  • Visualize percentiles and Quartiles using box plots
  • Get a better understanding of box plots
Quartiles and Box Plots Once we are done with percentiles and how they can be calculated, we move on to the concept of Quartiles and how to visualize them using box plots.
  • Understand the concept of Quartiles
  • Visualize percentiles and Quartiles using box plots
  • Get a better understanding of box plots
Once we are done with percentiles and how they can be calculated, we move on to the concept of Quartiles and how to visualize them using box plots.
  • Understand the concept of Quartiles
  • Visualize percentiles and Quartiles using box plots
  • Get a better understanding of box plots
Once we are done with percentiles and how they can be calculated, we move on to the concept of Quartiles and how to visualize them using box plots.
  • Understand the concept of Quartiles
  • Visualize percentiles and Quartiles using box plots
  • Get a better understanding of box plots
Descriptive Statistics - Quiz Descriptive Statistics - Quiz Descriptive Statistics - Quiz Descriptive Statistics - Quiz Dealing with Missing Data derstand the idea behind...

Additional information

Basic Python programming experience is required before undertaking the course

See related categories

Exploratory Data Analysis with Pandas and Python 3.x

£ 10 + VAT

The best IT Systems courses

See all

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