Solve Real-World Data Science Tasks in Python | Data Analysis with Pandas & Plotly (Full Tutorial)

Solve Real-World Data Science Tasks in Python | Data Analysis with Pandas & Plotly (Full Tutorial)

In this tutorial, we are going to solve a real-world data science/analysis project with python.

In this tutorial, we are going to solve a real-world data science/analysis project with python.

We will be using the following Python Libraries: • Pandas • Pandas Profiling Report • AutoViz • Plotly

After we have loaded the dataset, we will do some initial exploratory data analysis to get an idea of the dataset. I am going to show you very useful pandas’ functions which you can apply to any kind of dataset you might deal with.

However, nowadays there are so many cool libraries available, which will make exploratory data analysis so much easier. I will show you my favorite 2 libraries, which will generate automated reports for us in just a few lines of code. Those reports are a great starting point before we are moving on to answer real-world business type questions.

While answering those questions, we will cover a wide range of various pandas’ functions. Additionally, we will also code our own python helper function, which we are going to use in the deep-dive & visualization section. All the charts we are going to create will be interactive and have a clean design.

We will cover the following chart types: • Histogram • Box Plot • Bar Charts • Scatter Plot • Line Chart

Feel free to code along with me. In the project files, you will also find an exercise Notebook that includes all the tasks we are going to solve.

Download the project files here [Google Drive]: 👉 http://bit.ly/2YuAEPr​

✅ Chapters: 00:00​ - Introduction 01:44​ - (Setup) Virtual Environment 03:22​ - (Setup) Installing Libraries 03:50​ - (Settings) Project Files Overview 04:48​ - (Settings) Importing Libraries 05:02​ - (Settings) Setting Plotly Template 05:30​ - (Settings) Load DataFrame 06:37​ - (Explore Dataset) Traditionally 08:31​ - (Explore Dataset) Pandas Profiling Report 09:53​ - (Explore Dataset)AutoViz Report 10:35​ - (Data Prep & Analysis) Various Pandas Functions 14:51​ - (Deep Dive & Visualization) Overview 15:53​ - (Deep Dive & Visualization) Histogram 16:34​ - (Deep Dive & Visualization) Box Plot 17:00​ - (Deep Dive & Visualization) Various Bar Plots 19:24​ - (Deep Dive & Visualization) Various Scatter Plot 19:52​ - (Deep Dive & Visualization) Discount Analysis 21:15​ - (Deep Dive & Visualization) Line Chart 22:55​ - Final Words 23:44​ - Outro

Subscribe: https://www.youtube.com/channel/UCZjRcM1ukeciMZ7_fvzsezQ

python pandas plotly data-science

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