Input your search keywords and press Enter.

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.

Play Video

Duration

8 weeks

  • 6 weeks of Technical training
  • 2 weeks of career enablement

Enrolled By

January 2022

Get access to the classroom after passing the assessment

Qualifying for

Check all the jobs you will get access to

More Details

This course will qualify you to work as:

  1. Python Programmer
  2. Business Intelligence (BI) Analyst
  3. Junior Data Analyst

Prerequisites

Check prerequisites in detail

More Details
  1. Proficient in spoken and written English
  2. Basic computer skills
  3. No prior professional experience required
  4. Knowledge in basic descriptive statistics, Excel skills to manipulate, analyze and visualize data in spreadsheets
  5. Age from 18 years and above

Provided by

Built with callaboration with

What You Will Learn

levels

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 
levels

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
levels

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

Jobs you will able to work for

After graduating from this course, you will be able to join the market as

Python Programmer 100%
Business Intelligence (BI) Analyst 100%
Junior Data Analyst 100%

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)

Why should I enroll?​​

The Data Analyst Nanodegree program offers you the opportunity to master data skills that are in demand by top employers, such as Python and statistics. By the end of the program, you will have created a portfolio of work demonstrating your ability to solve complex data problems. After graduating, you will have the skills needed to join a large corporation or a small firm, or even go independent as a freelance data analyst.

Screen Shot 2021-10-15 at 4.43.14 PM

Courses

Check more related courses

Machine Learning

Machine Learning