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Become a Data Analyst

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Certification

Become a Data Analyst

To discover insights, communicate key findings and create data-driven solutions, you can use Python, SQL or statistics.

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Description

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Features

This course includes

Duration

4 months
Effort
10 hours per week
Level
Intermediate
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

Data ManagementData VisualizationData Analysis

Learning Goals

Data Analysis process of Wrangling, Exploring, Analyzing, and Communicating data
Apply Inferential Statistics and Probability
Data Wrangling process of Gathering, Assessing, and Cleaning Data
Apply Visualization principles to the data Analysis process

Course Content

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Prerequisites/Requirements

You should have experience working with Python (specifically NumPy and Pandas) and SQL
Python standard libraries
Working with data with Pandas and NumPy

Target Audience

Graduates
Data Analyst
Analytics Consultant
Product Manager
Management Consultant

Instructors

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Josh Bernhard

Data Scientist At Nerd Wallet

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Sebastian Thrun

Instructor

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Derek Steer

Ceo At Mode

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Juno Lee

Curriculum Lead

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Mike Yi

Data Analyst Instructor

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David Venturi

Data Analyst Instructor

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Sam Nelson

Product Lead

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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

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How is the Nanodegree program organized?

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Can I change my start date? Can I get a full refund?

I am a Data Analyst and want to continue learning. What should I do next?

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