What You'll Learn
- 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
Requirements
- No Python Needed, Program Starts with Python Data Basics
- Comfort with basic mathematical concepts (e.g., averages, percentages). Pandas Makes them Easy!
- Familiarity with Excel would be an asset.
- Lots of Curiosity!!! :)
Who This Course is For
- Beginner Python Developers interested in Data Science.
- Those familiar with Excel and looking to build on this skillset.
- Preparing for becoming machine learning scientist.
- Looking to prepare for a return to university and take a data science program.
- Switching into "Data Science job market" and want to "Start with Data Analysis".
- Those who might need to use Hypothesis testing at work and want to talk intelligently their research.
Your Instructor
Brandyn Ewanek
Data Scientist and Teacher
4.4 Instructor Rating
75 Reviews
12,448 Students
1 Course
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