I have an extensive set of certifications in data visualization methodologies showcasing a diverse and comprehensive skill set across various programming languages and tools. In R-programming, I have demonstrate proficiency in communicating with data using the Tidyverse, creating interactive visualizations with Bokeh, ggplot2, visualizing time series and geospatial data, as well as utilizing Plotly, Trelliscope, leaflet, and intermediate skills in ggplot2. Additionally, I have showcased my expertise in visualizing big data with Trelliscope, creating interactive maps, and handling intermediate interactive data visualization with plotly.
In Python my expertise spans introductory and intermediate levels, covering visualization with Matplotlib, Seaborn, and Plotly. I have also demonstrate proficiency in visualizing geospatial data and time series data using Python. Furthermore, my skills extend to building dashboards with Dash and Plotly, showcasing versatility in Python-based data visualization tools.
My Tableau certifications reflect a strong foundation in the platform, including introductory to advanced levels, such as understanding data visualization theory, analyzing data, creating dashboards, financial analysis, time series analysis, and employing statistical techniques. In Power BI, I have exhibited proficiency in various aspects, including introductory to advanced data visualization, user-oriented design, report and dashboard design, financial analysis, and time series analysis.
Additionally, I have certifications in data visualization using Excel and Julia, demonstrating a well-rounded understanding of data visualization across multiple platforms. Overall, my expertise in a wide array of data visualization tools and methodologies positions me as a versatile and skilled professional in the field.