Python Certification Training Course

Unlock Data-Driven Insights: Get Python-Powered for Smarter Decisions

About Python Certification Course: 

Python certification course is specially designed for experienced professionals who are non-programmers and leading teams that include programmers or accountants, analysts, and others using python as part of their job. Python coding certification online by ed-watch focuses on data literacy, data security, finance and ESG reporting, technology and automation, and advanced analytics. 

At the end of the python programming training online, participants should be able to:

  • Understand the fundamentals of coding in python and able to interpret practical business applications
  • Read and write scripts
  • Communicate effectively with programmers in your team
  • Build the capacity to organize and interpret data that extends far beyond Excel’s capabilities
  • Learn how to combine multiple data sources for better insights
  • Explore the practical applications of web scraping and APIs

Course Objective:

Python has been a preferred coding language for years due to its simplicity in learning and developing, the versatility of applications it can be used for, its ability to automate and replicate just about any information, the availability of outstanding off-the-shelf tools, and its ability to help create advanced flexible models with ease. Whether your team uses it for descriptive analysis, predictive analysis, prescriptive analysis, or for any other purposes, Managers must have some technical knowledge of Python to comfortably supervise the activities and lead their teams with more confidence.


  • Senior managers & executives; finance, risk, IT security & operations
  • Data analysts & business analysts
  • Managers; product/ project, risk, finance & business
  • Programmers, data scientists, consultants

Duration & Delivery:

  • This is a self-paced program, available 24/7 on LMS.
  • The course comprises 4 modules and consists of a quiz and assignment at the end of each module with a 60% passing criteria.
  • Live Q&A with the Instructor is scheduled every month
  • Virtual Classes 1 hour once a month

Course Resource:

  • Quizzes and assignments
  • 24/7 Course available on LMS

Course Coverage:

  • Lesson 1: Python Introduction
  • Lesson 2: Variables and Data-types
  • Lesson 3: User Input and Output
  • Lesson 4: Using Python for calculations
  • Lesson 5: Control Statements
    • Conditionals
    • Loops
  • Assignment No. 1
  • Quiz No. 1
  • Lesson 1: Functions
  • Lesson 2: Local and global scope
  • Lesson 3: Lists
  • Lesson 4: Tuples
  • Lesson 5: Dictionaries
  • Lesson 6: Introduction of Python Modules (Matplotlib, Seaborn, numpy, and pandas)
  • Practice for each module
  • Assignment No. 2
  • Quiz No. 2
  • Lesson 1: Cleaning Data
  • Lesson 2: Editing Data frames
  • Lesson 3: Data Hygiene: Duplicated and Missing Values
  • Lesson 4: Combining Data
  • Assignment No. 3
  • Quiz No. 3
  • Lesson 1: Python to Connect to an API
  • Lesson 2: Using Web Scrapers in Python
  • Lesson 3: Data Aggregation
  • Assignment No. 4
  • Quiz No. 4

Credit Hours

30 Hours

Delivery Channel



Get a shareable certificate


Beginner to Expert


At the end of each program we carry out a survey to ensure our participants receive the best of our services.


Participants will receive a successful course completion certificate subject to completion of post training quiz and assignment. 


Ahmed Ghamal

Machine Learning engineer at Tarjama. Python, SQL, Pytorch, Data Science frameworks, Power BI

Ahmed Gamal is an Applied Data Scientist at Tarjama, the IT company building Machine Translation models. He is also Machine Learning Lead at Udacity. He was previously a data scientist at Unilever Egypt where he has remained in charge of projects for:

Creating dashboard for sales for MEPS (The Middle East + Pakistan + Sri Lanka) region. Automating the generation of analytics reports using Airflow, Python, and Power BI.

Creating a dashboard for mobile Application usage (UFS Sales Pro) that serves as a tracking tool for Unilever He is a Bachelors’ in Computer Science and a Machine learning Engineer.