Data Visualization and Reporting with Tableau

Get comprehensive training in utilizing Tableau for effective data visualization and reporting. You’ll begin by exploring the Tableau software, mastering its interface and functionalities, and learning to create visually compelling and interactive visuals using Tableau's robust features.

You will gain expertise in visualizing time series data, exploring trends and recognizing patterns. You will also learn to visualize spatial and relational data, effectively representing geographic and network relationships.

As the course progresses, you will delve into visualizing data distribution and creating dynamic dashboards that provide comprehensive insights through Exploratory Data Analysis (EDA). The program emphasizes the design of advanced dashboards that highlight key metrics and facilitate data exploration.

Upon completion, you’ll be equipped with the skills to pursue high-return careers such as a data analyst, business intelligence analyst, or data visualization specialist, and have the ability to analyze complex datasets, derive meaningful insights, and effectively communicate them through impactful visualizations.

Program Objectives

• Basic Mastery of Tableau
• Creating Visuals Using Tableau
• Exploring Time Series Data
• Visualization Spatial and Relational Data
• Visualize Data Distribution and Create Dashboard
• Design Advanced Dashboard
• Exploratory Data Analysis Through Visualization
• Complete a Capstone Based on Real-World Application

Target Candidate

The target candidate for this program has an existing understanding of analytics and is seeking to advance into more specialized and sought-after roles. They aspire to qualify for positions such as data analysts, data scientists, or business intelligence analysts.

This program is designed to cater to individuals who recognize the value of data visualization and reporting using Tableau in the data analysis field. By acquiring advanced skills in Tableau, candidates will be equipped to analyze complex data sets, create impactful visualizations, and effectively communicate insights, making them highly qualified for in-demand roles in data analysis and visualization.