
Explore how data is information from around us, from videos and weather to daily habits, used to identify patterns, make predictions, and inform decisions.
Trace the history of data from ancient scribes and weather records to the rise of statistics, computers, and the internet, and examine how data mining shaped modern data science.
Explore Tableau, a data visualization software that turns data into charts. Download Tableau Public, sign in, and publish visualizations publicly with the connect and discover panels and how-to videos.
If you can try collecting your own data to make datasets, it will make the process more fun and interesting!
Learn to load a larger csv dataset in Tableau, clean secondary data, and build visualizations—cylinders vs horsepower, origin counts, and miles per gallon correlation—using Show Me, dashboards, and stories.
Discover how to create and manipulate pandas data frames, access data with iloc, describe statistics, add and rename columns, and group by gender to compute means.
Explore datasets with pandas by loading cars.csv and inspecting shape, info, columns. Use numpy for sums and averages, then filter by acceleration to find average horsepower for cars over 12.
Define your problem, ingest data, analyze trends, prepare data, evaluate models, refine hypotheses, and share findings using the data science process as a flexible guideline.
Welcome to the world of data science! This course is designed for complete beginners and youth who have little or no prior experience in data science but are eager to learn about it. This course is all about making data science approachable and fun, without overwhelming you with technical jargon. We understand that data science can seem overwhelming and intimidating, so we've created a course that's approachable and engaging.
In the first section of the course, we will cover the basics of data science, including types of data, data collection, and data cleaning. We will then dive into the core concepts of statistical analysis and data visualization, using Tableau, a popular data visualization tool, to create beautiful and informative visualizations of data. Don't worry if you've never used Tableau before, we'll start from the very beginning with the download button for the app.
Next, we will explore Pandas, a powerful data manipulation library in Python. You'll learn how to load data, clean and manipulate it, and use Pandas to perform basic statistical analysis. And don't worry you won't need any coding experience.
Finally, learn about applications of data science and how we can apply our new skills to real-world applications.
Whether you're interested in a career in data science, or just looking to expand your skillset, this course is perfect for you. By the end of the course, you'll have a solid foundation in data science, including data cleaning, visualization, and manipulation using popular tools such as Tableau and Pandas. You'll be able to decide whether data science is something you want to pursue and where to look to further your journey.
So don't wait any longer, come start your exciting journey and let's have some fun with data science!