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https://github.com/mohamed3nan/udacity
Udacity Data Analysis Nanodegree Program
https://github.com/mohamed3nan/udacity
data-analysis data-visualization numpy pandas python
Last synced: 29 days ago
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Udacity Data Analysis Nanodegree Program
- Host: GitHub
- URL: https://github.com/mohamed3nan/udacity
- Owner: Mohamed3nan
- Created: 2022-03-11T19:19:33.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-03-22T20:43:38.000Z (almost 3 years ago)
- Last Synced: 2025-01-11T23:10:05.736Z (about 1 month ago)
- Topics: data-analysis, data-visualization, numpy, pandas, python
- Language: Jupyter Notebook
- Homepage: https://udacity.com
- Size: 26.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Overview
Udacity Nanodegree Program, scholarship sponsored by Ministry of Communications and Information Technology of Egypt (MCIT).## Introduction to Data Analysis
This program consists of:Five weeks of Technical Training:
- Calculate summary statistics using spreadsheets.
- Create data visualizations using spreadsheets.
- Ask questions and answer them using data.
- Calculate key business metrics in financial analysis and interpret values.
- Forecast financial metrics using scenario analysis.And two weeks of Digital Freelancing training:
- The essential tools and skills needed to start or expand your
career as an online freelancer by learning about the freelancing
marketplaces, creating a strong professional profile, and the best
practices to win your first job.## Data Analysis Professional
This program consists of:Six weeks of Technical Training:
### Introduction to Python Programming:
- Develop programs in Python
- Manipulate data using NumPy
- Load and process data using Pandas
### Introduction to Data Analysis:
- Use Anaconda to manage your programming environment
- Investigate a dataset using Python data analysis packages
- Perform the entire data analysis process on a dataset### Data Wrangling:
- Gather data from multiple sources in a variety of formats
- Assess the quality and tidiness of data visually and programmatically
- Clean data using Python and PandasAnd two weeks of Career Enablement :
### Digital Freelancing Training:
- The essential tools and skills needed to start or expand your
career as an online freelancer by learning about the freelancing
marketplaces, creating a strong professional profile, and the best
practices to win your first job.
### Agile Management Training:
- The best practices to be a part of an Agile team and learn about the different Agile frameworks that can help build better tech products faster and more efficiently.## Data Analysis Advanced
This program consists of:Ten weeks of Technical Training:
### SQL for Data Analysis:
- Write SQL to query a single table
- Write SQL to query multiple tables
- Ask a question that requires data from multiple places, join the data together, and answer the question
### Practical Statistics:
- Apply inferential statistics and probability to real-world scenarios using Python
- create and analyze the results of hypothesis testing
- create and analyze A/B test results
- Build regression models in Python### Data Visualization:
- Build visualizations using different design elements
- Use visualizations to explore your data
- Use visualizations to communicate your insightsAnd two weeks of Career Enablement :
### Digital Freelancing Training:
- The essential tools and skills needed to start or expand your
career as an online freelancer by learning about the freelancing
marketplaces, creating a strong professional profile, and the best
practices to win your first job.
### Agile Management Training:
- The best practices to be a part of an Agile team and learn about the different Agile frameworks that can help build better tech products faster and more efficiently.### Career Readiness Services:
- Get a customized Resume, LinkedlIn, or GitHub review by experts, to make sure your work is well presented to employers. Leverage access to a wide variety of services and support in order to help you land suitable opportunities.