Data Analysis Professional

Professional

Become a Professional Data Analyst

Advance your programming skills and refine your ability to work with messy, complex datasets. You’ll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, you’ll learn to use your data skills to tell a story with data.

Application will be opened soon

Take a step forward

APPLY NOW

Estimated Duration

8 weeks of training

6 weeks of Technical training
2 weeks of Professional training

Qualifying for

This course is qualifying you to work as

Python Programmer
Business Intelligence (BI) Analyst
Junior Data Analyst

Enrolled By

December 2024

To be announced

After passing this course’ assessment, you will get direct access to Udacity classroom

Prerequisites

You should meet the following criteria:

Proficient in spoken and written English
Basic computer skills
Knowledge in basic descriptive statistics, Excel skills to manipulate, analyze, and visualize data in spreadsheets

No prior professional experience required
Age from 18 years and above
You haven’t joined the Professional track or the Advanced track or the Cross-skilling track before either for this specialization or a different one.

Program FAQs

If you have more questions, check the
program FAQs to find more answers.

Provided by

Built with callaboration with

What You will learn?

Introduction to Python Programming

By the end of this part, you will be able to:

Develop programs in Python
Manipulate data using NumPy
Load and process data using Pandas

Introduction to Data Analysis

By the end of this part, you will be able to:

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

By the end of this part, you will be able to:

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

Non Technical

Agile Management Training

Non Technical

Digital Freelancing Training

Why Agile?

Identify the importance of the Agile in the tech fields

Agile vs Traditional Management

Compare Agile versus the more traditional Waterfall approach to product development

Extra Training of

Agile Management

Agile Planning

Compare, Evaluate and Contrast Scrum, Kanban, and XP

Build and Evolve Agile Teams

Identify an Agile team’s core roles, optimal size, structure, and cross-functional skills

Extra Training of

Digital Freelancing Skills

You’ll master the skills necessary to become a successful digital freelancer. Learn how to market your services to clients, scope projects and manage client relationships

Fundamentals of Digital Freelancing

Managing Projects

Negotiate a Project Scope and a Pricing Framework

Developing Your Website

Building a Professional Social Media Presence

Watch our graduates’ stories!

Program Success Stories

Jirar Kamel

Data Analysis Graduate (Challenger & Professional)

Ahmed El-Saddek

Data Analysis Graduate (Advanced & Expert)

Mina Makram

Web Development Graduate (Professional Track)

Abdelrahman Magdy

Freelancer – Web Development Graduate (Professional & Advanced)

Ahmed Gharib

Data Analysis Graduate (Challenger & Professional & Advanced)

Mohamed Samir

Digital Marketing Graduate (Advanced Track)

Maha Zanaty

Digital Marketing Graduate (Advanced Track)

Mohamed Mahmoud

Web & Digital Marketing Graduate (Challenger – Professional)

Explore all Stories

Why do you study with Udacity?

Job-ready talent. Superior outcomes

We partner with leading technology companies to learn how technology is transforming industries, and teach the critical tech skills that companies are looking for in their workforce. With our powerful and flexible digital education platform, even the busiest learners can prepare themselves to take on the most in-demand tech roles.