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Master Data Analysis with Pandas

person icon Pranjal Srivastava

4.6

Master Data Analysis with Pandas

Learn most powerful data analysis toolkit quickly and easily | All Codes, Jupyter notebooks and datasets are included

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Pranjal Srivastava

English [CC]

category icon Development,Pandas

Lectures -11

Duration -50 mins

4.6

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Course Description

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, organizations 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 the well-renowned report, Data Analyst is forecast to be one of the most in-demand jobs by 2022. Even machine learning engineers and data scientists too need data analysis skills. Because Data is the new oil and it needs 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 most powerful libraries to do data analysis. In this learning course, you'll learn how to perform the below-mentioned tasks with Pandas in a quick and easy way.

  • Importing data from multiple sources and transforming it into Dataframe

  • Performing data extraction 

  • Doing statistical analysis

  • Exporting data frames 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!!

Goals

What will you learn in this course:

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

Prerequisites

What are the prerequisites for this course?

  • Must have python and required python lib installed on system
  • Knowledge of sql would be helpful. But not neccessary.
Master Data Analysis with Pandas

Curriculum

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

Pandas
2 Lectures
  • play icon Introduction to Pandas 01:59 01:59
  • play icon Setting up the virtual environment 04:19 04:19
Pandas: Creating dataframes
4 Lectures
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Pandas: View and Inspect the Data
1 Lectures
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Pandas: Indexing and Slicing
1 Lectures
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Pandas: Statistical Data Analysis
1 Lectures
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Pandas: Data Sorting
1 Lectures
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Pandas: Data Filtering
1 Lectures
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Instructor Details

Pranjal Srivastava

Pranjal Srivastava

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