Master data manipulation, exploratory analysis, and statistical techniques using Tableau for business intelligence.
Master data manipulation, exploratory analysis, and statistical techniques using Tableau for business intelligence.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Tableau Business Intelligence Analyst Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.2
(48 ratings)
5,857 already enrolled
Instructors:
English
Azərbaycanca, বাংলা, اردو, 1 more
What you'll learn
Apply data manipulation and preparation techniques
Perform exploratory data analysis with descriptive statistics
Create and interpret statistical visualizations
Use Tableau's analytics features effectively
Develop predictive analytics skills
Create comprehensive data analysis reports
Skills you'll gain
This course includes:
1.7 Hours PreRecorded video
17 assignments
Access on Mobile, Desktop, Tablet
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by

Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.





There are 4 modules in this course
This comprehensive course teaches data analysis fundamentals using Tableau. Students learn data manipulation, preprocessing, and aggregation techniques. The curriculum covers statistical analysis, including distributions, correlation, and regression. Emphasis is placed on exploratory data analysis and creating meaningful visualizations. The course includes practical applications using the Superstore dataset and culminates in a project combining various analytical techniques. Students learn to use Tableau's analytics features for efficient calculations and insights.
Data Analysis and Exploration
Module 1 · 5 Hours to complete
Data Preprocessing and Aggregation
Module 2 · 6 Hours to complete
Introduction to Statistical Analysis
Module 3 · 5 Hours to complete
Introduction to Predictive Analytics
Module 4 · 8 Hours to complete
Fee Structure
Instructor
Expert in Business Intelligence and Data Visualization
As a Tableau Learning Partner Instructor, this professional plays a crucial role in enhancing the data visualization skills of individuals and organizations. With a focus on delivering tailored training experiences, they provide both in-person and virtual instruction that caters to the specific needs of learners. Their expertise encompasses a wide range of Tableau functionalities, ensuring that participants—from beginners to advanced users—gain the knowledge necessary to effectively utilize data in decision-making processes. By fostering an interactive learning environment, the instructor encourages hands-on practice and real-world application of concepts, helping students to not only understand the software but also to develop critical analytical skills. Their commitment to education is further demonstrated through the creation of customized training materials and assessments, which facilitate a deeper understanding of data analysis and visualization techniques. Through their efforts, they contribute significantly to building a data-driven culture within organizations, empowering teams to leverage insights for strategic advantage.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.2 course rating
48 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.