Data Science Diploma

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 DIPLOMA ?

• 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 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
• Module 5
  • Advance your Skill in Data Transformation & Data Modeling
  • Using Statistical& Math DAX
  • Develop Power BI Visual
  • Connect to SQL Or Any Database
  • Design & Implement Enterprise Dashboard

PREREQUISITES: 

Full knowledge of Data Analysis skills using Microsoft Excel and the 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

CERTIFICATE 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.

Download outline now from HereIMP_Data Science_SyllabusV1