Tableau

Tableau Fundamentals (Datacamp) 24 hours (skill track  ⇒ certificate)

I learned how to use Tableau – one of the world’s most popular business intelligence tools. I also learned covering the basics of Tableau, exploring its user-friendly drag-and-drop functionality and how to use Tableau to quickly clean, analyze, and visualize your team’s data. I became expert in how to organize and analyze data, create presentation-ready visualizations, build insightful dashboards, apply analytics to worksheets and how to use data connectors to combine and prepare datasets and manage data properties.

• Introduction to Tableau (course ⇒ certificate)

In this track, I learned how to navigate Tableau’s interface and connect and present data using easy-to-understand visualizations. I also learned how to confidently explore Tableau and build impactful data dashboards.

• Analyzing Data in Tableau (course ⇒ certificate)

In this course, I learned how to create detail-rich map visualizations, configure date and time fields to show trends over time, and extend my data using Calculated Fields. I also learned how to complete a customer analytics case study and how to create bins, customize filters and interactions, and apply quick table calculations. Finally, I learned power user techniques, including how to slice and dice data.

• Creating Dashboards in Tableau (course ⇒ certificate)

In this course, I learned how to apply dashboard-composition best practices, add interactive or explanatory elements, and use dashboard actions to make your dashboard interactive. Additionally, I learned how to modify an existing dashboard layout for mobile devices to share as an image or a PDF. Finally, I learned how to share my data story through Tableau’s story functionality.

• Case Study: Analyzing Customer Churn in Tableau (course ⇒ certificate)

In this Tableau case study, I investigated a dataset from an example telecom company called Databel and analyzed their churn rates. I created calculated fields and various visualizations in Tableau, such as dual-axis graphs and scatter plots. I made my graphs dynamic by using filters and parameters, and combine everything into a story to share my insights.

• Connecting Data in Tableau (course ⇒ certificate)

In this course, I learned how to use connectors in Tableau to create a live connection to CSV and Excel files. I also learned how to combine multiple data tables with joins, unions, and relationships. Finally, I learned to manage different data properties, like renaming data fields, assigning aliases, changing data types, and changing default properties for a data field.

Data Analyst in Tableau (Datacamp) 42 hours (skill track ⇒ certificate)

In this course I learned how to use Tableau’s features to clean, analyze, and visualize data. Additionally, I learned how to connect data, create impactful, presentation-ready data visualizations, and familiarize yourself with the feature of Tableau and how I can use them to my advantage. Finally I learned how to leverage advanced calculations and apply statistical techniques. 

• Introduction to Tableau (course ⇒ certificate)

In this track, I learned how to navigate Tableau’s interface and connect and present data using easy-to-understand visualizations. I also learned how to confidently explore Tableau and build impactful data dashboards.

• Analyzing Data in Tableau (course ⇒ certificate)

In this course, I learned how to create detail-rich map visualizations, configure date and time fields to show trends over time, and extend my data using Calculated Fields. I also learned how to complete a customer analytics case study and how to create bins, customize filters and interactions, and apply quick table calculations. Finally, I learned power user techniques, including how to slice and dice data.

• Creating Dashboards in Tableau (course ⇒ certificate)

In this course, I learned how to apply dashboard-composition best practices, add interactive or explanatory elements, and use dashboard actions to make your dashboard interactive. Additionally, I learned how to modify an existing dashboard layout for mobile devices to share as an image or a PDF. Finally, I learned how to share my data story through Tableau’s story functionality.

• Case Study: Analyzing Customer Churn in Tableau (course ⇒ certificate)

In this Tableau case study, I investigated a dataset from an example telecom company called Databel and analyzed their churn rates. I created calculated fields and various visualizations in Tableau, such as dual-axis graphs and scatter plots. I made my graphs dynamic by using filters and parameters, and combine everything into a story to share my insights.

• Connecting Data in Tableau (course ⇒ certificate)

In this course, I learned how to use connectors in Tableau to create a live connection to CSV and Excel files. I also learned how to combine multiple data tables with joins, unions, and relationships. Finally, I learned to manage different data properties, like renaming data fields, assigning aliases, changing data types, and changing default properties for a data field.

• Data Visualization in Tableau (course ⇒ certificate)

Data visualization is one of the most desired skills for data analysts, allowing them to communicate insights in an understandable and impactful way. This course covered a range of data visualization skills using Tableau, allowing me to better present my findings.

• Calculations in Tableau (course ⇒ certificate)

In this course, I learned how to create calculations in Tableau to bring my visualizations to the next level. In this interactive course, I learned how to use functions for my Tableau calculations and when I should use them. I also learned how to solve business problems using Tableau, including cohort and survival analyses, prepare a what-if scenario with a dynamic quadrant chart, and how to troubleshoot my calculations.

• Case Study: Analyzing Job Market Data in Tableau (course ⇒ certificate)

In this Tableau case study, I explored a real-world job posting dataset to uncover insights for a fictional recruitment company called DataSearch.I learned from previous courses,used visualization techniques to investigate the data to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

• Statistical Techniques in Tableau (course ⇒ certificate)

I learned how to perform univariate and bivariate exploratory data analysis and create regression models to spot hidden trends. Working with real-world datasets, I also used machine learning techniques such as clustering and forecasting.