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Python Data Analysis & Visualization (Citi Bank)
Business Intelligence
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Business Intelligence

Python Data Analysis & Visualization (Citi Bank)

HRDC Reg. No: 10001545231
Course Duration: 14 Hours (2 Days)

Course Overview

This hands-on course equips participants with the skills to explore, analyze, and visualize data using Python. The program covers data manipulation with Pandas and NumPy, and visualization with Matplotlib, Seaborn, and Plotly. Whether you are a beginner or a professional, this course will help you extract insights and communicate findings effectively through interactive dashboards and reports.


Who Should Attend

  • Data Analysts seeking to transition from Excel or basic tools to Python.

  • Business Analysts aiming to derive actionable insights from raw data.

  • Researchers and academics in need of robust data exploration tools.

  • Fresh graduates and entry-level professionals in data science or analytics.

  • Software developers transitioning into data-focused roles.


Why Choose This Course

HRDC Claimable (Registration No. 10001545231)
Benefit from a claimable course under the Human Resource Development Corporation (HRDC) for upskilling in the highly in-demand field of data analysis and visualization.


Learning Outcomes

Participants will learn to:

  • Write Python scripts for data analysis.

  • Manipulate and clean datasets using Pandas and NumPy.

  • Conduct statistical and mathematical analyses on real-world data.

  • Create static and interactive visualizations with Matplotlib, Seaborn, and Plotly.

  • Deliver complete data analysis projects in Jupyter Notebook with strong visual storytelling.


Prerequisites

  • Basic understanding of programming (variables, functions, loops).

  • Familiarity with Excel or spreadsheets is beneficial.

  • No prior Python experience required but advantageous.


Teaching Methodology

  1. Hands-on Learning: Live coding, guided exercises, mini-projects.

  2. Project-Based Approach: Capstone project with real-world data.

  3. Interactive Learning: Jupyter Notebook for real-time code execution and visual feedback.

  4. Instructor Demonstrations: Step-by-step walk-throughs of real scenarios.

  • (0)
  • Self enrolment (Student)