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Programming for Data Science with Python

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Certification

Programming for Data Science with Python

To prepare for a career as a data scientist, you will need to know the basics of programming data: Python, SQL and command-line.

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Description

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Features

This course includes

Duration

3 months
Effort
10 hours per week
Level
Advanced
Instruction Type
Self Paced
Delivery Method
Online
Available on
Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English
Enrollment date
16th March 2022

Careervira Take

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Course Credibility

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Pedagogy

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Hands-on training

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Career impact

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Pricing

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Assessment

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Skills

SQL ServerData SciencePythonData AnalysisSQL

Learning Goals

You'll complete three projects, with a focus on the Python Language
Introduction to SQL
Introduction to Python Programming
Introduction to Version Control

Course Content

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Prerequisites/Requirements

You should feel comfortable performing basic operations on your computer like opening files and folders, opening applications, and copying & pasting You should also be able to read, write, and listen in English

Target Audience

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

Instructors

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Josh Bernhard

Data Scientist at Nerd Wallet

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Derek Steer

Ceo at Mode

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Juno Lee

Curriculum Lead at Udacity

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Richard Kalehoff

Instructor

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Karl Krueger

Command Line Instructor

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Corporate Sponsors

MODE

Course Overview

Job assistance

Hands-On Training, Instructor-Moderated Discussions

Post course interactions

CapStone project

International faculty

Personalized Teaching

Reviews

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FAQs

Why should I enroll?

What jobs will this program prepare me for?

How do I know if this program is right for me?

What is the difference between the Python track and the R track?

What is the School of Data Science, and how do I know which program to choose?

Do I need to apply? What are the admission criteria?

What are the prerequisites for enrollment?

How is this Nanodegree program structured?

How long is this Nanodegree program?

Can I switch my start date? Can I get a refund?

I have graduated from the Programming for Data Science with R Nanodegree program and I want to keep learning. Where should I go from here?

What software and versions will I need in this program?

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