Data Science

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3 courses

  • Big Data
    4.3(88)|3,215|7:07

    Big Data

    How to Analyze Big Data

    Eng. Amr Abdel Fattah
    Eng. Amr Abdel Fattah
    Start your journey now
  • Data Science and Data Analysis with Python
    4.6(49)|4,663|3:03

    Data Science and Data Analysis with Python

    Python Data Science and Data Analysis

    Eng. Walid Imad
    Eng. Walid Imad
    Start your journey now
  • R Programming Language
    5.0(66)|1,675|3:57

    R Programming Language

    Master Building Statistical Apps and Data Science

    Eng. Kanaan Al-Hallaj
    Eng. Kanaan Al-Hallaj
    Start your journey now

1 diplomas

What you will learn in Data Science courses

Big Data

This course teaches Big Data, meaning how to collect large amounts of data, analyze it and use it to extract useful information. You start with applications that give data its value, then the sources of big data from machines, people and organizations, and dealing with unstructured data and integrating it. Next you get to know the characteristics of big data, which are volume, variety, velocity, veracity and value, as well as data science, building a big data strategy and the processing steps. Then you move on to distributed computing, the Hadoop system, the distributed file system and the Mapreduce model, with installing Cloudera and a hands-on application.

  • Master big data collection and analysis using modern techniques.
  • Understand how to use Hadoop for distributed data management.
  • Apply machine learning techniques to analyze big data.
  • Master data exploration tools like Knime and Jupyter.

Data Science and Data Analysis with Python

This course teaches data science and data analysis with Python from the ground up. Data science is the field of collecting, cleaning and analyzing data and turning it into useful information for better decisions. The course starts with an introduction to data analysis, then sets up your working environment and covers Python basics. Next you work with the Numpy library across two parts, then move on to Pandas for data processing: loading data, exploring it, filtering it and grouping it, handling missing and duplicate values, and adding and updating data. After that you learn Matplotlib and how to work with charts and visual data.

  • Master the fundamentals of data science
  • Handle and analyze various types of data
  • Create visualizations to illustrate and analyze data
  • Implement data analysis projects using Python

R Programming Language

This course teaches the R programming language, an open-source programming environment for statistics, data analysis and data science. You start with an introduction to R and what it is, then installing R and RStudio and getting to know the program's main interface. Next you learn variables, vectors and matrices and how they are used, creating lists and factors, then the IF and Else statement and functions. You move on to importing data from files in CSV, XLSX and XML formats, translating and organizing it, then drawing pie charts and building a graph, and you finish with a summary of the course.

  • Master the fundamentals of programming with R.
  • Analyze data using R tools.
  • Create visual reports using charts.
  • Import and process data from multiple sources.