Data Science With Python Certification Course

Recruiters from Google, Standard Chartered and IBM prefer candidates with Python experience.

Learn Python to handle Big Data easily!

The data science with python training course is equally beneficial for people who are new to python and those familiar with the language and who want to up their game and excel in data science using python.

The data science with python certification course starts with the basics of python from understanding and learning how to code, the major concepts, and how to perform complex calculations using python. Data science with python online training takes a deep dive into the advanced concepts before moving on to a more advanced level consisting of data analysis and data presentation.

In the later modules, the data science with python certification training covers data presentation in the form of tables, charts, grids, and displaying images with matplotlib. Data analysis module covers data collection, cleaning, processing, and plotting using seaborn. This is a 10-week live program for a hands-on learning experience.

Why Learn Python?

More and more accountants, data analysts, business analysts, and risk managers are learning python for developing reports, calculating complex information, and presenting data in the form of dashboards and financial reports.
Learning python can promise a better career and improved salary prospects. The easy-to-learn programming language is being readily used in various industries such as finance, trading, computer graphics, security testing, game development, mapping and geography, and many more.

Program Objective:

At the end of the program, participants should be able to:

  • Carryout complex calculations
  • Perform data mining and complex data analysis on huge data records
  • Make interactive dashboards, business presentations, and other reports for boards

Course Resource:

  • Hand-on class projects with solutions
  • Quizzes and assignments
  • Access to recorded lectures post-live class on LMS.

Course Coverage:

  • Lesson 1: Python Introduction
  • Lesson 2: Variables and Datatypes
  • Lesson 3: User Input and Output
  • Lesson 4: Using Python for calculations
  • Lesson 5: Control Statements
    (a) Conditionals
    (b) Loops
  • Practice 1: Calculating salary knowing the hourly rate for an employee.
  • Practice 2: Calculating the profit for a bank account after 5 years
  • Quiz
  • 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
  • Quiz
  • Lesson 1: Introduction, why do we need to visualize our data?
  • Lesson 2: Data Cleaning- null and infinites values, outliers and data formatting etc.
  • Lesson 3: Improving Default Styles with Seaborn
  • Lesson 4: Scatter Plots
  • Lesson 5: Activity for Data Visualization
  • Lesson 6: Histogram and Line Chart
  • Lesson 7: Bar Chart
  • Lesson 8: Heatmap
  • Lesson 9: Displaying Images with Matplotlib
  • Lesson 10: Plotting multiple charts in a grid
  • Practice Project
  • Quiz
  • Lesson 1: Introduction what is a dataset and why do we need it?
  • Lesson 2: Loading the dataset and looking at slices and views of it
  • Lesson 3: Group by aggregates to summarize data
  • Lesson 4: Tidy and reshape data
  • Lesson 5: Write functions and apply them on the data
  • Lesson 6: Plotting using Seaborn
  • Project
  • Quiz
  • Lesson 1: What is Machine Learning
  • Lesson 2: Regression
  • Lesson 3: Classification
  • Lesson 4: Model Evaluation Metrics
  • Project
  • Quiz

Credit Hours

30 Hours

Delivery Channel



Get a shareable certificate


Beginner to Expert

  • Hand-on class projects with solutions
  • Quizzes and assignments
  • Access to recorded lectures post-live class on LMS.

Date and Time:

  • 4th batch is starting 29th April 2024
  • 8 – 10 weeks long
  • E-learning – live classes, 3 classes of 1 hour per week.
  • Classes will be conduct on wednesday, thursday, and friday from 8:30 pm – 9:30 pm (gmt +5).
  • 60% passing criterion.
  • Quizzes & assignments
  • Recorded sessions available 24/7 on the LMS uploaded within 24 hours of the class.
  • Online support during business hours is available.
  • Weekly progress report to HR where enrolled by company.


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


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


Ahmed Ghamal

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

Ahmed ghamal 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.

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