Tableau for HR: HR Analytics and Visualization with Tableau
What you'll learn
- Master Tableau's advanced features and functions to build complex HR data models and perform data blending, aggregations, and calculations.
- Discover how to extract and analyze HR data from multiple sources and turn it into meaningful insights.
- Recognize Tableau interface components, such as worksheets, shelves, and cards, and explain how to use various Tableau tools like filters, sorting & grouping
- Develop effective data visualizations that incorporate design principles such as layout, color & labeling, to effectively communicate insights to the audience
- Apply different types of calculations, such as aggregate, table, and level of detail calculations, to analyze data and solve business problems in Tableau
- Analyze and blend data from multiple sources using Tableau and its functionality, including data blending, joins, and unions to create meaningful insights
- Create an interactive dashboard that incorporates different types of visualizations to enable users to make data-driven decisionss
- Evaluate and use advanced analytics tools, such as forecasting, trend analysis, and statistical models, to gain insights from data and predict future trends
Requirements
- A PC with a working internet connection and basic knowledge of computers is all that's required
Description
If you are an HR professional seeking to elevate your skills and unlock the power of your data, this course is for you. Are you tired of struggling with complex HR data and struggling to communicate insights effectively? Do you want to learn how to create impactful visualizations and dashboards that will drive strategic decision making?
In this course, you will learn how to analyze, visualize and optimize your HR data using Tableau - one of the most powerful data visualization tools available. From building basic charts and graphs to designing advanced dashboards and exploring complex datasets, this course covers everything you need to know to become a Tableau expert.
By the end of this course, you will be able to:
Develop visually stunning charts and dashboards
Master Tableau's advanced features and functions
Extract actionable insights from HR data
Build an effective HR data visualization strategy
Communicate HR data effectively to stakeholders
Throughout the course, you will engage in a variety of activities, including interactive lessons, hands-on exercises, quizzes, and projects. By the end of the course, you will have developed a portfolio of stunning HR dashboards to showcase your skills.
This course is different because it takes a hands-on, practical approach to learning. You will have access to real HR datasets and will work on real-world HR problems. As an experienced HR professional and Tableau expert, I will guide you through the course and provide personalized feedback to help you succeed.
Don't miss this opportunity to master HR analytics and visualization with Tableau. Enroll now and take the first step towards becoming a data-driven HR leader.
Who this course is for:
- Students who wish to join the field of HR analytics
- Working HR professionals looking to learn a powerful dashboarding and Data Visualization tool
- Anyone who wants to learn about Tableau from the very beginning
Instructor
- 4.5 Instructor Rating
- 94,989 Reviews
- 1,700,333 Students
- 82 Courses
Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.
Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey.
Founded by Abhishek Bansal and Pukhraj Parikh.
Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.
Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.