Python for Data Scientist and Data Analyst Professional Test

This Course about Python Data Science online test evaluates a candidate’s proficiency in using Python and its data science libraries (Pandas, NumPy, Scipy, and Scikit-learn) through questionnaire challenges. The test focuses on:

• Introduction to Python Programming

• Python Data Structures

• Python Object-Oriented Programming

• Exploratory Data Analysis using Python

• Classifying data with various algorithms.

• Performing data operations such as aggregating, grouping, sorting, and cleaning.

• Constructing machine learning models.

Bonus Part:

Git And GitHub

• • Git Basics

  • Git Commands

  • Clone a Repository

  • Git Branching

  • Merging

  • Git Stash

  • Git Add Interactive

  • Reflog

  • Cherry Picking

  • Git Rebase

  • Git Bisect

  • Fetching and Pulling Content

  • Working With Multiple Repositories

  • Pushing Code

  • Pull Requests

  • Git Log

  • Squashing Commits

  • Cherry-Picking and Three-Way Merges

  • Git Hooks

  • Advanced: Beyond the Basics

  • GitHub Overview

  • SSH Authentication

  • GitHub Repository

  • GitHub Repository Branches

  • GitHub Tags and Releases

  • Comparing Differences

  • Social Coding

  • GitHub Issues

  • GitHub Gists

  • GitHub Organisations

All are expected to apply best of their knowledge to address data science problems and Basic Python problems.

This course is built in such a way that every individual’s proficiency in various Python data science techniques, including data acquisition, cleaning, manipulation, modeling, analysis, and visualization. It confirms expertise in data analytics, such as:

Decision-making under uncertainty

Data-based decision-making

Predictive modeling

Model selection

Basic Python Data Structure

Additionally, it measures skills in using Python for file processing and programming operations with NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn libraries.

Bonus part is added as Git and GitHub so that everyone can learn about versioning, and how software is released, automated pipelines and much more.

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!