University of Aberdeen - Introduction to Data Visualisation with Python
- Offered byFutureLearn
Introduction to Data Visualisation with Python at FutureLearn Overview
Duration | 8 weeks |
Start from | Start Now |
Total fee | ₹1.05 Lakh |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Introduction to Data Visualisation with Python at FutureLearn Highlights
- Earn microcredentials from University of Aberdeen
- 24/7 study access and recorded content
- 20% Alumni discount and 10% Staff discount
- Course fee needs to be paid full before you start your course
- Payment must be accepted via Visa Debit, Visa Credit and Mastercard
Introduction to Data Visualisation with Python at FutureLearn Course details
Professionals who need to create visualizations to analyze and interpret data
Individuals involved in complex data analysis who require advanced visualization skills to present their findings
Those who interested in extracting valuable insights from data and gaining sought-after Python skills
How to access data from various sources
Data clean-up
Good programming practice
The Introduction to Data Visualization with Python course is designed to provide participants with foundational skills in creating and interpreting visual representations of data using Python
This course covers essential techniques and tools for transforming raw data into meaningful visualizations that facilitate better understanding and decision-making
Participants will learn how to use popular Python libraries for data visualization, enabling them to effectively communicate insights and patterns from their data
Introduction to Data Visualisation with Python at FutureLearn Curriculum
How to use Python for more than just programming
Learn how to extract useful insights from complex data
Python libraries such as NumPy, pandas, and Dash
Python libraries to process and visualise data, and perform basic data clean up
Access, analyse, and gain insight into data from a range of sources
Present complex data into easily readable insights for different stakeholders
How to access data from various sources, perform data clean-up, and adopt good programming practice
Introduction to Data Visualisation with Python at FutureLearn Entry Requirements
- N/A
A candidate must be undergraduate or relevant experience that supports this level of study
Non-native English speakers have a minimum of a 6.5 IELTS score, or equivalent
- Not mentioned
Introduction to Data Visualisation with Python at FutureLearn Admission Process
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