INFORMATION DESIGN & DATA VISUALIZATION
Unlock the potential of data with this program, designed to equip staff with essential skills in analysis, visualization, and interpretation. Master programming basics, data wrangling, and create impactful visualizations using Python to transform raw data into actionable insights for strategic decision-making.
Learning Outcome
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Programming Basics
- Learn the basics of coding using programming constructs.
-
Data Wrangling and Analysis using Analysis Package
- Identify methods for collecting data from various sources.
- Perform basic data retrieval, data wrangling and data analysis.
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Data Visualization
- Design and create clear, informative, and effective data visualizations using tools such as Python.
- Communicate data insights through charts, graphs, and interactive dashboards to enhance understanding.
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Effective Communication and Decision-Making
- Translate data insights into actionable recommendations for business strategies and decision-making.
- Develop skills to present analytical findings effectively to stakeholders with varying levels of technical expertise.
Learning Objective
This program is designed to equip staff with the knowledge and skills necessary to effectively collect, analyze, and interpret complex data, enabling informed decision-making and the development of strategic solutions.
Participants will gain a comprehensive understanding of data visualization techniques, statistical methods, data manipulation strategies, and analytical tools. The program aims to foster the ability to transform raw data into actionable
Participants will gain a comprehensive understanding of data visualization techniques, statistical methods, data manipulation strategies, and analytical tools. The program aims to foster the ability to transform raw data into actionable
Course Structure
- Programming Basics
- Data Wrangling and Analysis using Data Analysis Package
- Introduction to Data Visualization
- Effective Communication and Decision Making
Why This Program
The Data Analytics program is essential in today’s digital age, where the volume of data generated is immense and rapidly growing. Organizations need professionals who can analyze and derive actionable insights from this data to make informed, evidence-based decisions.
As the demand for data analytics skills surges across various industries, this program equips individuals with the expertise needed to stay competitive. By mastering data analysis, participants not only gain a significant advantage in the job market but also contribute to their organization’s success through optimized operations and innovative strategies. Additionally, the versatility of data analytics skills makes them valuable across multiple fields, enhancing problem-solving abilities and broadening career opportunities.
As the demand for data analytics skills surges across various industries, this program equips individuals with the expertise needed to stay competitive. By mastering data analysis, participants not only gain a significant advantage in the job market but also contribute to their organization’s success through optimized operations and innovative strategies. Additionally, the versatility of data analytics skills makes them valuable across multiple fields, enhancing problem-solving abilities and broadening career opportunities.
Pre-requisite
- Basic Knowledge of Python Programming
- Foundation of Mathematics / Statistics and Microsoft Excel
- Jupyter Notebook / Visual Studio Code / Google Colab
Delivery Mode
Seminar / Face-to-Face
Duration
40 Hours
Course Code
CETA-PROD-102
Area of Interest
Productivity
Tools/ Operating Systems
Windows 10 / 11 Operating System or later version (MAC OS is also supported)
Download Program Details
About Trainer
Pema Wangmo
AI&DS Lecturer
Mrs. Pema Wangmo is an Associate Lecturer at GCIT with five years of experience, currently leading the AI Development and Data Science department. She earned her Master of Science in Information Technology from the International Institute of Information Technology (IIIT), Hyderabad, India, and is skilled in analytics and machine learning.
Robotic Process Automation (RPA)
Productivity
Information Design & Data Visualisation
Productivity
Generative AI
Productivity
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