Duration
The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
Course fee
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
Assessment mode
Assignments or Quiz
Tutor support available
International Students can apply
Students from over 90 countries
Flexible study
Study anytime, from anywhere
Overview
Certified Professional in Data Visualization with Python
Join our comprehensive program designed for individuals looking to master data visualization using Python. This course is perfect for aspiring data analysts and business intelligence professionals seeking to enhance their Python skills for visualizing complex data sets. Learn to create interactive charts, graphs, and dashboards to present data effectively. Gain hands-on experience with Python libraries like Matplotlib and Seaborn. Elevate your career with in-demand data visualization skills and stand out in the competitive job market. Start your learning journey today!
Data Visualization with Python Certification offers a comprehensive program for professionals seeking to enhance their data analysis skills and machine learning training. This course provides hands-on projects, allowing participants to apply Python programming to create visually appealing and interactive data representations. Explore real-world examples and learn how to effectively communicate complex information through visualization. With self-paced learning and expert guidance, you can master the art of data visualization and become a Certified Professional in Data Visualization. Elevate your career prospects and stand out in the competitive field of data science with this cutting-edge certification.Get free information
Course structure
• Introduction to Data Visualization with Python• Data Cleaning and Preparation for Visualization
• Basic Visualization Techniques using Matplotlib
• Advanced Visualization Techniques using Seaborn
• Interactive Data Visualization with Plotly
• Geographic Data Visualization with Geopandas
• Time Series Visualization
• Dashboard Creation with Dash
• Best Practices in Data Visualization with Python
Learn how to create impactful data visualizations using Python with our Certified Professional in Data Visualization program. This course is designed to help you master Python programming specifically for data visualization purposes.
Duration: 8 weeks, self-paced
Relevance to current trends: This program is aligned with modern tech practices and equips you with the skills needed to excel in the field of data visualization.
By the end of this course, you will be able to create interactive and visually appealing data visualizations using Python libraries such as Matplotlib, Seaborn, and Plotly. This certification will enhance your career prospects in data analysis, data science, and other related fields.
Certified Professional in Data Visualization with Python
The demand for professionals with Data Visualization with Python skills has been steadily increasing over the years. According to UK-specific statistics, there were 5,000 data visualization jobs in 2018, which grew to 10,000 in 2020. This upward trend indicates the importance of acquiring Python data visualization skills to meet the industry needs.
Employers are actively seeking individuals with expertise in data visualization to help make sense of large datasets and drive data-driven decision-making. By obtaining a certification in Data Visualization with Python, professionals can demonstrate their proficiency in creating visually appealing and informative data visualizations using Python programming language.
In today's market, having Python data visualization skills can significantly enhance a professional's career prospects and open up new opportunities in data analysis, business intelligence, and data science roles. It is essential to stay updated with current trends and industry needs to remain competitive in the job market.
| Year | Number of Data Visualization Jobs |
|---|---|
| 2018 | 5,000 |
| 2019 | 7,500 |
| 2020 | 10,000 |