Welcome to the world of data storytelling and advanced exploratory data analysis (EDA) with Tableau! Join us as we delve into the highlights of COMPFEST 15's Data Science Academy (DSA), where participants had the opportunity to learn from industry experts and engage in challenging projects. In this article, we will explore the fascinating topics covered during the DSA Camp 3 event series, including advanced EDA techniques with Tableau and the art of data storytelling. Get ready to unlock the power of data and gain valuable insights from the exciting world of data science!
Unlocking the Power of Advanced EDA with Tableau
Discover the world of advanced exploratory data analysis (EDA) with Tableau and gain valuable insights into data transformation, visualization, and sharing.
Exploratory Data Analysis (EDA) is a crucial step in the data science process, and Tableau provides a powerful platform for conducting advanced EDA. With Tableau, you can easily transform, visualize, and share your data to uncover meaningful insights.
In the DSA Camp 3 event series, Lis Wahyuni, a business intelligence engineer at Sinarmas Sekuritas, shared her expertise in advanced EDA with Tableau. She discussed various topics, including data relations, data unions, and data blends. Lis also provided best practice tips for data calculations, such as converting multiple equality comparisons into a case expression and avoiding the use of sets in calculations.
By mastering advanced EDA techniques with Tableau, you can gain a deeper understanding of your data and make informed decisions. Whether you're a beginner or an experienced data scientist, Tableau offers a user-friendly interface and powerful features to enhance your data analysis process.
The Art of Data Storytelling
Learn the art of data storytelling and how to effectively convey data insights to your audience.
Data storytelling is the art of presenting data in a compelling and engaging way to communicate insights effectively. During the DSA Camp 3 event series, Aqsath, the CEO of NoLimit Indonesia, shared valuable insights into the importance of data storytelling and its key elements.
Aqsath highlighted the six important elements of a data story, including data foundation, main point, explanatory focus, linear sequence, dramatic elements, and visual anchors. He also emphasized the responsibilities of a data storyteller, such as presenting data with the right key insights and creating engaging visuals.
By mastering the art of data storytelling, you can captivate your audience and make your data analysis more impactful. Whether you're presenting to stakeholders, colleagues, or clients, effective data storytelling can help you convey complex information in a clear and compelling manner.
Exciting Final Project Presentations
Witness the culmination of the DSA Camp 3 event series with the final project presentations from talented teams.
The DSA Camp 3 event series concluded with the highly anticipated final project presentations. Ten teams showcased their innovative projects, covering a wide range of topics in the field of data science.
Each team had the opportunity to present their projects and answer questions from a panel of experts, including Afif Akbar and Harimurti Prasetio. The presentations were engaging and showcased the participants' skills and knowledge acquired throughout the DSA event series.
From optimizing the specifications of electric vehicles to analyzing market trends, the final projects demonstrated the participants' ability to apply data science techniques to real-world problems. It was truly inspiring to see the creativity and dedication of the teams.
Interview with Team Anemon: Insights and Experiences
Gain valuable insights from Team Anemon, one of the active participants in the DSA COMPFEST 15 event series.
As part of the DSA COMPFEST 15 event series, I had the opportunity to interview Team Anemon, a group of talented individuals who actively participated in various DSA events. Team Anemon presented a fascinating project titled 'Optimal Specification of Electric Vehicle'.
During the interview, Aulia, Nabila, and Amanda shared their experiences and learnings from the Data Science Academy. They highlighted the importance of teamwork and the need to explore additional resources to tackle the challenges of the final project.
Team Anemon's project aimed to optimize the attribute features of electric vehicles based on market needs. Their dedication and innovative approach truly exemplified the spirit of the DSA event series.
