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Development Programming Languages Data Analysis

Exploratory Data Analysis with Pandas and Python 3.x

Extract and transform your data to gain valuable insights
Rating: 4.2 out of 54.2 (67 ratings)
240 students
Created by Packt Publishing
Last updated 8/2019
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • 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

Course content

7 sections • 32 lectures • 5h 3m total length

  • Preview04:38
  • Basic Statistical Measures
    07:39
  • Variance and Standard Deviation
    04:10
  • Visualizing Statistical Measures
    09:03
  • Calculating Percentiles
    05:10
  • Quartiles and Box Plots
    07:04

  • Preview11:25
  • Dealing with Missing Values
    06:18
  • Hands-on with Dealing with Missing Values
    14:43
  • Case Study: Missing Data in Titanic Dataset
    12:09

  • What are Outliers?
    05:22
  • Using Z-scores to Find Outliers
    06:50
  • Modified Z-scores
    07:41
  • Using IQR to Detect Outliers
    08:46

  • Types of Variables
    17:25
  • Introduction to Univariate Analysis
    06:27
  • Skewness and Kurtosis
    04:16
  • Univariate Analysis over Olympics Dataset
    11:39

  • Introduction to Bivariate Analysis
    02:25
  • Correlation Coefficient
    04:21
  • Scatter Plots and Heatmaps
    08:25
  • Bivariate Analysis: Titanic Dataset
    08:32
  • Bivariate Analysis: Video Game Sales
    18:25

  • Introduction to Multivariate Analysis
    03:01
  • Multivariate Analysis over Titanic Dataset
    10:06
  • Multivariate Analysis over Pokemon Dataset
    18:57
  • Simpson’s Paradox
    04:33
  • Correlation Is Not Causation
    04:46

  • Wine Data Analysis: Initial Setup
    04:49
  • Red Wine Analysis
    24:35
  • White Wine Analysis
    21:49
  • White Wine versus Red Wine: Analysis
    18:20

Requirements

  • Basic Python programming experience required.

Description

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!

About the Author

Mohammed 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 recommender 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.

Who this course is for:

  • This course is for Python developers, data analysts, and IT professionals who want to move toward a career as a full-fledged data scientist/analytics expert; anyone who wants to use data analytics/machine learning to enrich their current personal or professional projects will also benefit from it.

Instructor

Packt Publishing
Tech Knowledge in Motion
Packt Publishing
  • 3.9 Instructor Rating
  • 58,076 Reviews
  • 350,172 Students
  • 1,418 Courses

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.



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