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Master Data Analysis with Pandas

  • Development
  • May 12, 2025
SynopsisMaster Data Analysis with Pandas, available at $19.99, has an...
Master Data Analysis with Pandas  No.1

Master Data Analysis with Pandas, available at $19.99, has an average rating of 4.7, with 11 lectures, based on 39 reviews, and has 3764 subscribers.

You will learn about Learn fundamental concepts of data analysis Learn to create dataframes and series Learn importing data from multiple sources and transforming into Dataframe Learn to perform data extraction Learn removing missing values Learn statistical analysis Learn removing duplicate values Learn data sorting Learn indexing, slicing and data selection Learn to create filters Learn to do export from dataframe to different file formats This course is ideal for individuals who are For data science, machine learning and data analytics enthuasist It is particularly useful for For data science, machine learning and data analytics enthuasist.

Enroll now: Master Data Analysis with Pandas

Summary

Title: Master Data Analysis with Pandas

Price: $19.99

Average Rating: 4.7

Number of Lectures: 11

Number of Published Lectures: 11

Number of Curriculum Items: 11

Number of Published Curriculum Objects: 11

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Learn fundamental concepts of data analysis
  • Learn to create dataframes and series
  • Learn importing data from multiple sources and transforming into Dataframe
  • Learn to perform data extraction
  • Learn removing missing values
  • Learn statistical analysis
  • Learn removing duplicate values
  • Learn data sorting
  • Learn indexing, slicing and data selection
  • Learn to create filters
  • Learn to do export from dataframe to different file formats
  • Who Should Attend

  • For data science, machine learning and data analytics enthuasist
  • Target Audiences

  • For data science, machine learning and data analytics enthuasist
  • Data analysis is a crucial thing in business to organize, interpret, structure and present the data to extract meaningful insights in order to take significant business decisions. With proper data analysis, organization could be able to

  • Predict customer behaviors

  • Market trend

  • Cut operational costs and resolve existing challenges

  • Build a better business plan, innovative sales and marketing strategies for the upcoming year and much more.

  • As per well renowned report, Data Analyst is forecast to be one of the most in-demand jobs by 2022. Even machine learning engineer and data scientist too needs data analysis skill. Because Data is new oil and it need to be processed.

    With data analysis tools one can easily do data cleansing, data manipulation, data normalization, data inspection, statistical analysis, data fill and much more.

    Pandas is one of the powerful library to do data analysis. In this learning course you’ll learn how to perform below mentioned tasks with Pandas in quick and easy way.

  • Importing data from multiple sources and transforming into Dataframe

  • Performing data extraction

  • Doing statistical analysis

  • Exporting dataframe into different file formats.

  • Creating filters

  • Doing Data inspection, data sorting, data visualization and much more.

  • Data analysis is an applied science, it requires lots of hands-on. In this course you’ll get lots of lot pragmatic hands-on in pythonic style.

    See you in class!!

    Course Curriculum

    Chapter 1: Pandas

    Lecture 1: Introduction to Pandas

    Lecture 2: Setting up the virtual environment

    Chapter 2: Pandas: Creating dataframes

    Lecture 1: Using CSV, XLSX, dictionary and list

    Lecture 2: Using URL and html page

    Lecture 3: Reading SQL Query

    Lecture 4: Using XML and JSON

    Chapter 3: Pandas: View and Inspect the Data

    Lecture 1: head(), tail(), shape(), info(), describe(), count() and pandas options

    Chapter 4: Pandas: Indexing and Slicing

    Lecture 1: colon operator, loc, iloc

    Chapter 5: Pandas: Statistical Data Analysis

    Lecture 1: mean, median, max, min, corr, idxmax, idxmin, describe

    Chapter 6: Pandas: Data Sorting

    Lecture 1: Data Sorting

    Chapter 7: Pandas: Data Filtering

    Lecture 1: Data Filtering

    Instructors

  • Master Data Analysis with Pandas  No.2
    Pranjal Srivastava
    Docker | Kubernetes | AWS | Azure | ML | Linux | Python
  • Rating Distribution

  • 1 stars: 2 votes
  • 2 stars: 0 votes
  • 3 stars: 4 votes
  • 4 stars: 12 votes
  • 5 stars: 21 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!