Training

Introduction to Data Science Lunch and Learn Webinar Series

Welcome to the uTerra Data Science Lunch and Learn Webinar Series, where we invite you to explore data science. In this series, we delve into essential concepts and techniques that form the foundation of data science, equipping you with the skills to extract valuable insights from data and make informed decisions.

uTerra members understand the significance of fostering a thriving data science community, and that's why we're thrilled to offer these engaging and informative sessions, designed to empower individuals at all levels of expertise. Whether you're a novice curious about the data-driven landscape or a seasoned professional looking to enhance your skills, this series has something valuable for everyone.

Session 1: Exploring Summary Statistics and Data Visualization

We explore the fundamental aspects of data analysis – summary statistics and data visualization. Data, in its raw form, can be difficult to interpret. We show you how to transform it into meaningful insights that drive better decision-making.

During this session, you can expect to:

• Uncover the Power of Summary Statistics: We will demystify concepts like mean, median, mode, quartiles, and standard deviation. Learn how these metrics provide an overview of your data's central tendencies and spread.

• Visualize Data: Discover the art of data visualization using graphs and charts. From scatter plots to bar graphs, we walk through the various visualization techniques that help you see patterns, trends, and outliers within your data.

Session 2: Mastering Data Cleansing Techniques

The journey from raw data to actionable insights often involves navigating through noisy and inconsistent datasets. In this session, we equip you with the skills to clean and preprocess data effectively, ensuring that your analyses are accurate and reliable.

During this session, you will:

• Identify and Handle Missing Data: Missing values are a common obstacle in data analysis. We'll show you strategies to detect, handle, or impute missing data, ensuring your insights are based on a complete picture.

• Tackle Bad or Noisy Data: Outliers and inconsistencies can skew your analysis. Learn how to identify and deal with noisy data through techniques that maintain the integrity of your results.

• Standardize and Normalize: Get hands-on experience with techniques like standardization and normalization, which enable fair comparisons and more accurate model building.

We encourage active participation and questions during these sessions, as we aim to foster an interactive and collaborative learning environment. You will gain a solid foundation in data exploration, visualization, and cleansing – essential skills that form the cornerstone of effective data science.

Join us in building the uTerra data science community, where individuals from diverse backgrounds come together to share knowledge, ask questions, and advance their data science journey. Don't miss out on this opportunity to empower yourself with the skills that drive modern decision-making.