Python & Statistics For Data Science & Artificial Intelligence

DIPLOMA OVERVIEW

This diploma is the ideal scientific and practical choice for your excellence in data science.

This diploma is a combination of technical skills from both business sciences and technology to build a career future in one of the most important fields worldwide; where the most of global and innovative companies are utilizing data science to help making data-driven decisions after developing statistical models and algorithms

Diploma Objectives

• Introduction to Data Career & Data Competencies
• Databases Concepts & Relational Database
• Statistics for Data Science
• Data Analytics Using Python
• Data-Driven Decision-Making Using Power BI

Why Study Data Science?

• Become an Expert Data Scientist.
• Opening the horizon for exciting and ever renewed career future worldwide in the field of data analysis and data science, which is characterized by a high salary for its employees.
• Excellence in business by mastering technological techniques to explore and analyze data to reach data-driven decisions and aid in predicting and forecasting.
• Proficiency in data analysis using the most versatile and adaptable programming language: Python.
• Mastering the merit of making data-driven decisions.

For Whom is Data Science?

• For business professionals who have a passion for acquiring distinguished and distinct competencies in the field of data analysis and become able to make data-driven decisions.
• For those who wish to excel in the field of data analysis, data-driven decision and get advanced to the stage of anticipation and prediction using the development of statistical models and algorithms using Python programming language.

Upon The Completing The Diploma, You Will:

• Module 1
  • Intro to Data Career and Road Map
  • Learn about the Competencies for Data Sciences
  • Differentiate your Skill as Data Scientist
• Module 2
  • Understanding Databases Concepts & Relational Database Management
  • Creating Database Objects
  • Working with T-SQL Querying
• Module 3
  • Learn the important topics in statistics for Data Science & Data Analysis
  • Understanding The Concept Of
    • Mode, Median and Mean
    • Variance and Standard deviation
    • Probability
    • Descriptive statistics
    • Linear Algebra
• Module 4
  • Learn Python basics for Data Analysis
  • Working with Anaconda and Jupyter Notebook
  • Working with Panda – Data Analysis Library
  • Working With NumPy – Data Analysis Library
  • Visualization your Data Using Python
  • Using Python for web Scraping

Prequitsities

Full knowledge of Data Analysis skills using Microsoft Excel and business intelligence using Microsoft Power BI.

Rounds

Besides rounds that are conducted in IMP head office in Egypt; IMP courses are also delivered LIVE with fully interactive sessions allowing for a highly engaging Q & A and assuring that you get the best ever learning experience.

Terms and Conditions

Certification of Completion

To have successfully completed; a trainee should:

• have an attendance rate of not less than 80% (or such higher attendance requirement as prescribed for the course);
• Pass the course practical assessments and projects in at least 75% of the total number of assignments as required in each training course.