Complete, in-depth and pratical understanding of modern data analysis techniques.
What you will learn
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4 Python Data Basics Intro Classes, Data Types, Loops, Conditional Statements, Functions.
Beginner to Advanced Data Cleaning, Processing and Wrangling with Pandas.
Quick Exploratory Data Analysis with Pandas Plotting PiePlot, ParallelCurves, HistPlot.
Univariate and Bivariate Analysis in Seaborn, JointPlot, BoxenPlot, SwarmPlot.
Advanced Data Exploration with Plotly; Sunburst, TreeMap, 3D ScatterPlot.
How to suppport data-driven decisions.
Hacker Statistics and Bootstrapping – Visualize to Understand Hypothesis Testing.
Data Story Telling – How to Build a Business Presentation.
LLM Job Interview Prep Game; ChatGpt, Gemini, DeepSeek, Claude, etc.
20 Interview Prep Questions by Sarah Rajani
English
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