Welcome to this 1 hour long guided project on data visualization using Bokeh. In this project you will learn the basics of Bokeh and create different plots and impressive data visualizations in detail. You will also learn Glyphs and how to Map Geo data using Bokeh. Please note that you will need prior programming experience ( beginner level) in Python. You will also need … [Read more...] about Data Visualization using Bokeh
Data Analysis
t-Tests of Hypotheses About Means
This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and quantitative research methods along with high school students and professionals with similar interests. This course provides a comprehensive understanding of statistical methods for comparing means, focusing on the t-test. Students will learn to conduct and interpret … [Read more...] about t-Tests of Hypotheses About Means
Unlocking Business Insights through Storytelling with Data
This course delves into the captivating world of data storytelling, illuminating how data, when woven into narratives, can paint compelling pictures that drive decision-making and inspire change. It's a journey from the fundamentals of data visualization to the artistry of narrative building, designed for those who seek to make their data speak to audiences in meaningful ways. … [Read more...] about Unlocking Business Insights through Storytelling with Data
Python for Data Visualization:Matplotlib & Seaborn(Enhanced)
In this hands-on project, we will understand the fundamentals of data visualization with Python and leverage the power of two important python libraries known as Matplotlib and seaborn. We will learn how to generate line plots, scatterplots, histograms, distribution plot, 3D plots, pie charts, pair plots, countplots and many more! Note: This course works best for learners who … [Read more...] about Python for Data Visualization:Matplotlib & Seaborn(Enhanced)
Intermediate Data Analysis Techniques with Pandas
This Pandas course focuses on mastering DataFrame functionalities, starting with in-depth comparisons between Series and DataFrame methods. You'll learn essential skills such as selecting columns, adding data, and utilizing methods like value_counts and fillna for effective data cleaning. Advanced topics include filtering data, optimizing memory usage, handling missing values, … [Read more...] about Intermediate Data Analysis Techniques with Pandas
