Browse all the projects contained in this Skill Track

Practice Lab: Merge and Joining data with Pandas

Mohamed Rawash

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Pandas Grouping and Aggregation MCQ Challenge

Vidhi Shah

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Football Data Analysis: Merging and Joining with Pandas

Anurag Verma

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Exploring and Analysing Superhero Attributes using Pandas

Lohith Unnam

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Diving Deep into Data Relationships: Pandas Merging with Shopping Cart Data

Anurag Verma

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Pandas Data Transformation MCQ Challenge

Vidhi Shah

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Data Transformation: A Comparative Analysis of .apply(), .applymap(), and .where()

Adeyinka Odiaka

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Cruising Through US Traffic Insights with Pandas Pivot Table

Anurag Verma

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LEGO Database: A Pandas Joining and Merging Project

Anurag Verma

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Exploring Tech Salaries with Pandas: Pivot and CrossTab Techniques

Anurag Verma

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Pandas DataFrame Merge and Join Quiz

Vidhi Shah

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Practice GroupBy operations with Video Games Sales data

Mohamed Rawash

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Wrangling Online Food Ordering Data using Pandas

Vidhi Shah

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Practice PivotTables and Crosstab with Student Grades data

Mohamed Rawash

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Practice GroupBy operations with Netflix data

Anurag Verma

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Practice GroupBy operations with Laptops spec data

Anurag Verma

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Premier League Match Analysis

Santiago Basulto

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Capstone Project: NBA 2017 season analysis

Santiago Basulto

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Practicing Discretization and Binning with Music data

Anurag Verma

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Discretization and Binning with Fitness data

Anurag Verma

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From Continuous to Categorical: Data Wrangling with Dairy Sales data

Anurag Verma

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IP Addresses Range per Country Analysis

Santiago Basulto

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Analyzing newborn given names in Argentina

Santiago Basulto

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Clean, Aggregate and Analyze Cricket dataset using Pandas and Pivot Tables

Manoj Kumar

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Unscripted Insights: Data Wrangling with F.R.I.E.N.D.S

Vidhi Shah

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Player Stats: Wrangling with Football Data

Lohith Unnam

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Pandas Data Wrangling Practices Using YouTube Trending Videos Dataset

Dhrubaraj Roy

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Let's Code and Read: A Python Project for Book Lovers

Adeyinka Odiaka

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Practice Data Wrangling and Feature Engineering for Bank Marketing Data Using Pandas

Dhrubaraj Roy

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Transforming Video Game Sales Data with Pandas: Apply, Applymap, and Where

Dhrubaraj Roy

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Merged Markets: Exploring Beverage Sales Through Combined Data

Adeyinka Odiaka

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Data Wrangling in Action: Analyzing Kindle Books Data

Lohith Unnam

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DataFrames on Film: Concatenating San Francisco's Cinematic Locations

Vidhi Shah

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Hotel Booking Analysis: From Basics to Insights

Lohith Unnam

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