Python Programmer

This learning track provides a  hands-on application of Programming Constructs and Data Structures in Python and handling prominent Libraries in Python.

  • icons final-02 9 Courses
Python Programmer
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    Difficulty: Advanced

    Prior knowledge or professional experience is highly recommended

  • Asset 1
    Duration: Approximately 8 months

    Suggested learning pace is 5hr/week

Course Overview

  • Learn how to implement the various data structures available in Python (List, Set, Tuple and Dictionary) and their theoretical explanation and applications. Also, learn the different types of control flow constructs available in Python along with their syntax and applications.
  • Learn the different types of functions that can be defined and implemented in Python (Lambda, Recursive, Apply functions). Also, learn how to write Python Scripts that can be used for performing complex tasks and reuse existing modules and packages for solving practical problems, along with a hands-on experience with web scraping.
  • Learn to implement the different functionalities within the various Python libraries used in Data Science like Pandas, Numpy, Seaborn, Matplotlib etc. for data manipulation and analysis purposes.
  • Learn to implement the different techniques of data pre-processing using Python.

What’s included


Shareable Certificate

Earn a sharable certificate upon completion


Lifetime Access

Access this case study for life once completed


Flexible Scheduling

Start learning online immediately, at your own pace


Desktop Only

We recommend completing this learning track on a desktop

Skills You Will Learn

Data Management

Data Preprocessing

Data Mining

Python Data Structures

Python Control Flow Constructs

Python Functions

Python Scripting

Python Programming

Data Visualization


  • Data Structures in Python
  • Control Flow in Python
  • Functions in Python
  • Scripting in Python
  • Data Science with Pandas
  • Numpy for Data Science
  • Data Visualization with Seaborn
  • Getting Started with Matplotlib
  • Fundamentals of Data Processing in Python

How it Works

Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.

With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.

Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.

Complete courses to earn sharable certificates and badges. These awarded items will be look great in your portfolio as you showcase your skills and project experience to employers and colleagues.

Learner Outcomes

Complete learning tracks to earn shareable certificates and badges. These awarded items will look great in your portfolio as you showcase your skills, projects, and experience to employers and colleagues.

  • The learner will be able to work with and use all the data types, data structures, logical operations and control flow constructs available in Python.
  • The learner will be able to use built-in library functions and write different types of functions in Python to solve a problem in hand.
  • The learner will be able to build a script to create module and package in Python and also reuse existing modules. The learner will also be able to do error handling in Python and apply the knowledge gained on a real-time project based on web-scraping using API techniques.
  • The learner will be able to implement different functionalities within the various Python libraries like Pandas, Numpy, Seaborn, Matplotlib etc. for data manipulation, analysis and visualization purposes.

“Rolai provides contextual upskilling opportunities … on one single platform.”

Sundar Ramamoorthy
Managing Director of Solutions.AI, Global Products & Delivery Lead at Accenture

“An excellent tool for anyone who wants to quickly learn the ropes.”

Sanket Kawde
Head Data and Analytics at CitiBank India

“Rolai is the best program available for someone looking to enhance their skills”

Connor McEachron
Planning & Analytics @ Brooks Brothers

“Great way to learn data analytics and data science”

Balaji Reddy
Manager – Applications Development

“The courses were excellent and covered topics that I didn’t expect”

Aadarsha G
Student At Ohio Wesleyan University
All the Most Frequently Asked Questions

What People Are Asking About Data Education

Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.

Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.

No additional tools are needed to begin learning with Rolai. Our virtual lab contains the necessary data workspace and an embedded coding console.

  • We have internal SMEs across industries and domains that we work with to develop relevant content and assure quality datasets and problem statements.
  • We also work with enterprises and universities to develop new content directed towards their industry and expertise.