Data Visualization with Python Certified Course

Course Description:

The  Data Visualization with Python Certified Course  Unlock the power of visual storytelling with our Data Visualization with Python course. This program is designed to help learners transform raw data into compelling and interactive visual insights. Through hands-on sessions, you will master essential Python libraries such as Matplotlib, Seaborn, Plotly, and Bokeh, learning to create charts, dashboards, and graphs that make complex data easy to understand. Whether you aim to enhance business decisions, explore analytics, or communicate findings effectively, this course equips you with the practical skills to present data visually with clarity and impact.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

 Career Opportunities After Data Visualization with Python Certified Course:

• Data Analyst 
• Business Intelligence (BI) Analyst 
• Data Visualization Specialist 
• Python Developer (Data-Focused) 
• Market Research Analyst 
• Financial Analyst 
• Data Consultant

Essential Skills you will Develop Data Visualization with Python Certified Course:

• Python Data Handling
• Data Visualization Mastery
• Storytelling with Data
• Exploratory Data Analysis (EDA)
• Dashboard Development
• Data Cleaning & Preparation
• Report Generation
• Critical Thinking
• Data-Driven Decision Making
• Integration Skills

Tools Coverd:

• Python
• Jupyter Notebook 
• Google Colab 
• Pandas 
• NumPy
• Matplotlib 
• Seaborn 
• Plotly 
• Bokeh
• Excel / CSV Integration 
• Tableau (Optional Module)

Syllabus:

Module 1: Introduction to Data Visualization Importance of data visualization in decision-making Types of data visualizations and their applications Overview of Python visualization ecosystem.

Module 2: Python Fundamentals for Data Visualization Basics of Python programming Variables, data types, loops, and functions Introduction to Jupyter Notebook / Google Colab.

Module 3: Data Handling with Pandas and NumPy Loading and cleaning datasets (CSV, Excel, JSON) DataFrames, Series, and array operations Handling missing values and data transformation.

Module 4: Basic Visualization with Matplotlib Line, bar, pie, and scatter plots Customizing charts: labels, titles, legends, and colors Saving and exporting visualizations.

Module 5: Advanced Visualization with Seaborn Statistical plots: boxplots, violin plots, pairplots Correlation and regression visualizations Heatmaps for data analysis.

Module 6: Interactive Visualizations with Plotly Creating interactive line, bar, and scatter plots Hover info, filters, and dynamic visualizations Integration with Jupyter Notebook.

Module 7: Dashboard Creation with Bokeh Building interactive dashboards Widgets and real-time data updates Layouts and customization.

Module 8: Exploratory Data Analysis (EDA) Techniques Understanding distributions, trends, and outliers Visual storytelling with data Combining multiple visualizations for insights.

Module 9: Reporting and Presentation of Data Generating reports with visualizations Exporting charts to images and PDFs Best practices for presenting data to stakeholders.

Module 10: Capstone Project Real-world project integrating all visualization tools End-to-end data analysis and visualization Presentation and dashboard deployment.

 Industry Projects:

• Sales Data Dashboard
• Customer Behavior Analysis
• Financial Data Visualization
• Healthcare Analytics Project
• Marketing Campaign Analysis
• Real-Time Data Dashboard

Who is this program for?

• Aspiring Data Analysts 
• Data Scientists
• Business
• Marketing Professionals
• IT & Software Developers
• Finance 
• Healthcare Professionals
• Students
• Graduates
• Anyone Interested 
• Data-Driven Decision

How To Apply:

Mobile: 9100348679                   

Email: coursedivine@gmail.com