What Is Programming? And How To Get Started
January 28, 2025
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Instructor: Bassim Eledath
17,408 already enrolled
Included with
(428 reviews)
Recommended experience
Beginner level
Experience with Python is recommended but not required. Familiarity with intro-level statistics is required
(428 reviews)
Recommended experience
Beginner level
Experience with Python is recommended but not required. Familiarity with intro-level statistics is required
Apply practical Exploratory Data Analysis (EDA) techniques on any tabular dataset using Python packages such as Pandas and Numpy.
Produce data visualizations using Seaborn and Matplotlib
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Only available on desktop
In this 2-hour long project-based course, you will learn how to perform Exploratory Data Analysis (EDA) in Python. You will use external Python packages such as Pandas, Numpy, Matplotlib, Seaborn etc. to conduct univariate analysis, bivariate analysis, correlation analysis and identify and handle duplicate/missing data.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Initial Data Exploration (7 min)
Univariate Analysis (8 min)
Bivariate Analysis (8 min)
Dealing With Duplicate Rows and Missing Values (8 min)
Correlation Analysis (4 min)
Experience with Python is recommended but not required. Familiarity with intro-level statistics is required
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
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Follow along with pre-recorded videos from experts using a unique side-by-side interface.
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Available only on desktop
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428 reviews
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6.77%
1.63%
3.03%
Showing 3 of 428
Reviewed on Sep 3, 2020
This was an amazing course! In all honesty I didn't expect to learn this much from a 2-hour project, but Bassim proved me wrong! This was great.
Reviewed on Feb 24, 2022
An excellent course! Highly recommended for anyone who wants to learn the fundamentals of EDA using Python.
Reviewed on Oct 2, 2021
Excellent project - course covers indepth details of data analysis. Instructor was great!
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