Full, in-depth and pratical understanding of contemporary information evaluation methods.
What you’ll be taught
4 Python Knowledge Fundamentals Intro Lessons, Knowledge Sorts, Loops, Conditional Statements, Capabilities.
Newbie to Superior Knowledge Cleansing, Processing and Wrangling with Pandas.
Fast Exploratory Knowledge Evaluation with Pandas Plotting PiePlot, ParallelCurves, HistPlot.
Univariate and Bivariate Evaluation in Seaborn, JointPlot, BoxenPlot, SwarmPlot.
Superior Knowledge Exploration with Plotly; Sunburst, TreeMap, 3D ScatterPlot.
Easy methods to suppport data-driven choices.
Hacker Statistics and Bootstrapping – Visualize to Perceive Speculation Testing.
Knowledge Story Telling – Easy methods to Construct a Enterprise Presentation.
LLM Job Interview Prep Sport; ChatGpt, Gemini, DeepSeek, Claude, and many others.
20 Interview Prep Questions by Sarah Rajani
English
language
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