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Data science with Python Foundation Training

Understand the basics of Python and use its libraries for effective data processing and analysis. Develop Python programs to analyse and solve real world complex problems.

  • 24 hours of Instructor-led sessions
  • Beginner level
  • Interactive hands-on learning

Modes of Delivery

Key Features

24 hours of Immersive Instructor-led sessions
Interactive hands-on training
Understand the basic concepts of Python language
Learn about Python libraries for effective data processing and analysis
Create Python programs to analyse large data sets and create models to solve complex problems
Our Python experts will guide students in future implementation of the technology


Python is a diverse language known for its simplicity and flexibility, making it an ideal choice for use in statistics. The benefits of Python including easy readability, speed, productivity, extensive libraries, and open community have contributed immensely in the field of data analysis and allow programs to be written and integrated into web apps and databases.

Zeolearn brings you a comprehensive beginner’s course on Data Science with Python Foundation that will allow you to harness the potential of Python for creating applications and programs for data science. With a perfect blend of theory and practicals, you will be able to master the language and ensure that you are competitive and skilled enough to fulfil the growing demand for data scientists. Our Python for Data Science course will also give the hands-on skills needed to understand the real world demands of Python in data analysis. The coaching is delivered by well qualified and certified trainers by our academy at reasonable cost. The individuals who are registered for Data Science with Python certification will receive course materials for free.

What you will learn!

  • Basics of Python including data types, OOPs concepts, basic syntax variables etc
  • About Python lists, functions, packages
  • To create Python programs that will help discover and interpret relationships in complex information
  • Analyse and handle large data sets and create models that will help solve real-world problems
  • To use Python libraries for effective data processing and analysis

Is this course right for you?

This Data Science with Python training is a beginner’s course and is well suited for programmers with or without experience. Students who wish to pursue a career in data science will also find this course beneficial.


Participants are expected to have:

  • Basic computer knowledge
  • Knowledge of basic arithmetic, algebra (and good to know trigonometry and calculus) like set theory, probability and statistics, logic, matrices, vectors etc.


  • Data Structures Fundamentals
  • Introduction Programming
  • Object Oriented Programming Fundamentals
  • Strings
  • Numbers
  • Lists
  • Tuples
  • Files
  • Sets and Booleans
  • Comparison Operators
  • Chained Comparison Operators
  • Python Statements-Introduction to Python Statements
  • Python Statements if, elif, and else Statements
  • Object Oriented Programming
  • Project Milestone 1
  • For and While Loops
  • Range ()
  • List Comprehension
  • Methods
  • Functions
  • Lambda Expressions
  • Nested Statements and Scope
  • Object Oriented Programming
  • Objects
  • Classes
  • Project Milestone 2
  • Methods
  • Inheritance
  • Special Methods
  • Errors and Exception Handling
  • Exception handling-Try, Except and Finally
  • Modules and Packages (and imports)
  • Built-In Functions -Map, Reduce, Filter, Zip, Enumerate, all(), any(), Complex
  • Python Decorators
  • Python Generator
  • Final Capstone Project
  • MatPlotLib - Charts, Plots and 3D Figures!
  • Intro to MatPlotLib
  • First Graph!
  • Understanding the MatPlotLib Interface
  • Graph Labels
  • Creating a Graph from a File
  • Understanding SubPlots and Figures
  • Coloring of Graph
  • Multiple Plots in a Graph
  • Multiple Graphs in a Figure
  • What about 3 graphs?
  • Bar Graphs Intro
  • Modifying our Bar Graph
  • Pie Chart Intro
  • Modifying our Pie Chart
  • Adding a Legend
  • 3D Graphics Intro
  • 3D Scatter Plots
  • Multiple 3D Scatter Plots
  • 3D Bar Graphs
  • 3D Wireframes
  • Intro to Pandas
  • Series Data Structure
  • Series Continuation
  • Data Frames Intro
  • Creating a CSV
  • Reading a CSV
  • Writing to a CSV
  • Getting our Data
  • Slicing Data Frames
  • Data Manipulation
  • Indexing and More
  • Merging Data Frames
  • GroupBy Function
  • MovieLens Data
  • Heavy Data Analysis
  • MatPlotLib with Pandas
  • Let's Finish This
  • Tkinter Introduction
  • Labels
  • Buttons
  • Layouts
  • Fill
  • Grid Layout
  • Entries
  • Check Buttons
  • GUI Login
  • Actions on Button Click
  • Binding Functions
  • More Binding!
  • Getting Entry Data
  • Message Box
  • Drop Down Menus
  • Calculator Part
  • Calculator Part
  • Calculator Part
  • Calculator Part
  • Canvas Intro
  • Canvas Objects
  • Canvas Fill
  • Random Rectangle Generator
  • Text and Arcs

Frequently Asked Questions

Python has been among the most popular languages used for data analysis and statistics due to it being simple and flexible and allowing the programmer a huge degree of freedom while writing programs and creating applications. There is a huge demand for data analysts using Python and the remunerations are also above market averages. Zeolearn academy recognises this and hence brings this course that is aimed at giving you the expertise needed to understand the language and leverage it to create outstanding programs for data analysis. This course is all about empowering participants with real time, practical skills that will help them land lucrative job roles. This course will help you gain hands-on expertise through the numerous examples, exercises and project work conducted through the course of the workshop. You will also work on an industry-level project that will make you a master in Python. Enrol now and get set for a glittering career.

On completing the course, you will learn about:

  • Python language fundamentals, including basic syntax, variables, and types.
  • OOPs in Python
  • Creating and manipulating python lists, tuples, list comprehension
  • Using functions and importing packages (like math, range(), split(), map(), reduce() etc.
  • Learn to build Numpy arrays, and perform interesting calculations
  • Create and customize plots on real data
  • Supercharge your scripts with control flow, and get to know the Pandas DataFrame

Zeolearn brings you mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Programming such as Scala and C#, which are very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!

You will receive Data Science with Python certification in the form of a course completion certificate.

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will use Python to build your own programs, parse the Web and build your own games. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certification.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You may be required to put in 10 to 12 hours of effort every week, including the classroom sessions/live class, self study and assignments.

We offer classes in classroom and online format. While classroom sessions are held in specific venues in your city, for online sessions all you need is a Windows computer with good internet connection and you can access the class anywhere, at anytime. A headset with microphone is also recommended.

You may also attend these classes from your smart phone or tablet.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

This course is apt for programmers with or without experience. Students who wish to pursue a career in data science will also find this course beneficial. 

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