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Master Pandas for Data Analysis and Visualisation

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Data Analysis & Visualisation in Pandas, Pandas Plotting Lib, Numpy, Python, Streamlit, Problem Solving & 5 EDA Projects

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Preview this Course

What you'll learn
  • Basic, Intermediate & Object Oriented Programming in Python
  • Basic & Intermediate of Numpy
  • Basic to Advanced of Pandas Series
  • Basic to Advanced of Pandas DataFrame
  • Indexing, Slicing & Sorting a Pandas DataFrame
  • Joining, Merging, Concatenating, Updating & Combining a Pandas DataFrame
  • Filtering, Group by and Aggregation in Pandas DataFrame
  • String Operations in Pandas DataFrame
  • Multi-Indexing in Pandas DataFrame
  • Pivot & Reshaping a Pandas DataFrame
  • Working with Datetime & Timeseries in Pandas DataFrame
  • Resampling & Rolling
  • Styling a Pandas DataFrame
  • Options & Settings in Pandas DataFrame
  • Plotting & Visualisation of Pandas DataFrame
  • Data Cleaning & Preprocessing in Pandas DataFrame
  • Pandas Plotting Library
  • Streamlit Basics
  • Streamlit Dashboard
  • EDA projects on Kaggle Dataset

Description
Welcome to the course "Master Pandas for Data Analysis and Visualisation". The biggest and the best course on Pandas for Data Analysis and Visualisation. This is the only course based on Pandas Problem Solving & multiple EDA Projects.



First you will learn Python from scratch to object oriented Python. Then you will learn Numpy from very basic to intermediate level. After that you will learn Pandas Series from very beginning to advance level and then you will learn Pandas DataFrame in Details.



In Pandas DataFrame, you will learning everything from basic to advanced. You will learn how to create a Pandas DataFrame and run basic operations. You will learn indexing, slicing & sorting a Pandas DataFrame. You will learn joining, merging, concatenating, updating, combining, filtering, grouping by, aggregation, string operations, multiindexing, pivot & reshaping, datetime & series, resampling & rolling, styling, options & settings, plotting & visualisation and data cleaning & preprocessing.



You will also learn Solving Pandas Problems, Feature Engineering & EDA.



Finally, you will do multiple EDA projects using only Pandas & Pandas Plotting Library.



And at the end, you will learn to develop a basic dashboard using Streamlit & Pandas



I’ve already added about 45hrs of contents. There will be more than 10 hours of contents soon. So, what are you waiting for? Enrol into the course and suggest your favourite EDA projects to add into the course.



You will learn through developing projects and writing codes together. We will together develop about 5 projects. I've already added 5 projects and about 2 more projects I will add based on student's choice.



I promise to give you something which no instructor has ever given in any course.

Who this course is for:
  • For someone who wants to Learn Data Analysis & Visualisation in Pandas, Pandas Plotting Lib, Numpy, Python, Streamlit, Problem Solving & 5 EDA Projects

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