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 Pandas

And 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 insights

And 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.