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Data Analyst (Udacity)

Data Analyst (Udacity)

Key Facts

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By enrolling in this online course you will spend approx. 17 weeks/10 hours a week to learn key concept of Data Analysis.

Course Overview

Successful Data Analysts have a unique set of skills, and represent important value to organizations eager to make data-powered business decisions. In this program, you’ll learn to use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.

Demand for qualified Data Analysts continues to rise, and as a graduate of this program, you will be prepared to take on these roles. Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.

Course Syllabus

Introduction to Data Analysis

Learn the data analysis process of wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like NumPy and Pandas.

Explore Weather TrendsInvestigate a Dataset.

Practical Statistics

Learn how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models.

Analyze Experiment Results.

Data Wrangling

Learn the data wrangling process of gathering, assessing, and cleaning data. Learn to use Python to wrangle data programmatically and prepare it for analysis.

Wrangle and Analyze Data.

Data Visualization with Python

Learn to apply visualization principles to the data analysis process. Explore data visually at m.

Communicate Data Findings.

Meet your Instructors

* We try to provide you as many free online courses from multiple providers and universities but in some cases you may have pay nominal fee to get assignments and/or to claim verified Certificate or Degree from respective provider.

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Data Analyst (Udacity)


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