Python Programing Academy- Cohort 25 Spring 2025

Python for Data Analytics: Master the Core Language of Data

Course Overview
Kickstart your career in Data Analytics, Data Science, or Machine Learning with a solid foundation in Python—the most in-demand programming language for data professionals today. This course, a cornerstone of the OneCampus Python Academy, is a required component of the Data Analytics, Data Science, and Machine Learning Professional Programs.

Whether you're new to coding or looking to sharpen your analytical toolkit, this course equips you with practical, job-ready skills that top employers seek in data analysts, including data wrangling, logic building, and process automation using Python.

What You’ll Gain

• Hands-on experience with Python and Jupyter Notebooks in real-world analytical workflows
• Ability to manipulate, clean, and prepare data for analysis
• Foundation to automate repetitive tasks and build efficient data pipelines
• Knowledge of core programming constructs essential for working with data
• Exposure to advanced topics that set you apart in analytics roles

Learning Journey: The 6-Stage Python Learning Cycle

1. Environment Setup
   • Install and configure Python using Anaconda Navigator and Virtual Environments
   • Navigate and operate Jupyter Notebooks for interactive data work
2. Core Programming Concepts
   • Understand variables, comments, data types, and expressions
   • Work with strings, string methods, and data manipulation techniques
3. Control Flow
   • Apply decision-making with conditional statements and logical operators
   • Master loops for automation and iterative tasks
4. Data Structures
   • Leverage Python containers: Lists, Tuples, Sets, and Dictionaries for data management
   • Organize and retrieve information efficiently
5. Working with Time and Functions
   • Handle time-based data using Python's datetime module
   • Write reusable code with functions and explore modular programming
6. Beyond the Basics
   • Introduction to object-oriented programming (classes and objects)
   • Handle errors gracefully with exception handling
   • Prepare for advanced tools in data analysis, visualization, and modeling

Why Take This Course?

Today’s data analysts need more than Excel—they need programming fluency, automation capability, and analytical thinking. This course provides all three and is your first step to becoming a data-driven problem solver.

Start your journey to a high-impact career in data analytics with Python.