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AI Programming with Python

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Course Report - AI Programming with Python

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

3 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

10 hours per week

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Teaching Type

Self Paced

Course Description

The AI Programming with Python Nanodegree program consists of curriculum and content to support two (2) projects. The Udacity reviewer network will evaluate each project. We expect that students will complete the program within three (3) months. Students can work 10 hours per week. You will receive feedback and be asked to submit the project again if it fails.

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Highlights

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Course Credibility

Top 20 Percentile

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Rating & Reviews

Top 30 Percentile

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Career Impact

Top 5 Percentile

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Pedagogy

Top 20 Percentile

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Parameters

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Course Credibility

Delivered through Udacity a renowned institution in the field, this course offers a comprehensive learning experience.

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Pedagogy

This comprehensive course equips you with all major Python Programming for Data Science skills applicable to your daily life. Personalized teaching ensures one-on-one doubt resolution with faculty, maximizing skill acquisition. These practical skills empower you to confidently apply your knowledge and thrive in various real-life situations. An exceptional course in Python Programming for Data Science, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Career Impact

This course is exceptional, ranking among the top 5 percentile in Python Programming for Data Science for its significant career impact and excellent job assistance. Learners benefit from valuable career opportunities and support, enabling them to secure relevant positions and excel in the industry. The course's dual focus on career impact and job assistance enhances its value, making it an ideal choice for individuals seeking to advance their careers and succeed in the Python Programming for Data Science field.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Python Programming for Data Science, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Python Programming for Data Science.

Course Overview

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Job Assistance

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Personlized Teaching

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Basic computer skills like managing files, navigating the Internet, and running programs will be useful

Basic algebra and programming knowledge in any language

Computer running OS X or Windows

What You Will Learn

Introduction to Python

Jupyter Notebooks, NumPy, Anaconda, pandas, and Matplotlib

Linear Algebra Essentials

Calculus Essentials

Target Students

This Nanodegree program accepts everyone, regardless of experience and specific background

Course Instructors

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Ortal Arel

Curriculum Lead

Ortal Arel has a PhD in Computer Engineering, and has been a professor and researcher in the field of applied cryptography. She has worked on design and analysis of intelligent algorithms for high-speed custom digital architectures.
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Luis Serrano

Instructor

Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
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Jennifer Staab

Instructor

Jennifer has a PhD in Computer Science and a Masters in Biostatistics; she was a professor at Florida Polytechnic University. She previously worked at RTI International and United Therapeutics as a statistician and computer scientist.
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Juan Delgado

Content Developer

Juan is a computational physicist with a Masters in Astronomy. He is finishing his PhD in Biophysics. He previously worked at NASA developing space instruments and writing software to analyze large a...

Course Reviews

Average Rating Based on 6 reviews

5.0

100%

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