Python for Data Scientist and Data Analyst Professional Test

Python for Data Scientist and Data Analyst Professional Test, available at $44.99, 4 quizzes.

You will learn about Introduction to Python Running Python Programs Python Data Structures Python Object-Oriented Programming Bonus: Git And GitHub This course is ideal for individuals who are Students, Programmers, Data Analyst, Data Scientist Professionals It is particularly useful for Students, Programmers, Data Analyst, Data Scientist Professionals.

Enroll now: Python for Data Scientist and Data Analyst Professional Test

Summary

Title: Python for Data Scientist and Data Analyst Professional Test

Price: $44.99

Number of Quizzes: 4

Number of Published Quizzes: 4

Number of Curriculum Items: 4

Number of Published Curriculum Objects: 4

Number of Practice Tests: 4

Number of Published Practice Tests: 4

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Introduction to Python

Running Python Programs

Python Data Structures

Python Object-Oriented Programming

Bonus: Git And GitHub

Who Should Attend

Students, Programmers, Data Analyst, Data Scientist Professionals

Target Audiences

Students, Programmers, Data Analyst, Data Scientist Professionals

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.

Course Curriculum

Instructors

Nisha Palhade
Blockchain and AI Security Architect and Researcher

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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!