Gain mastery in advanced Teradata analytics tools and data integration techniques to enhance data analysis capabilities and drive informed decision-making.
Gain mastery in advanced Teradata analytics tools and data integration techniques to enhance data analysis capabilities and drive informed decision-making.
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 Data Analytics with Teradata Specialization 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.
Instructors:
English
What you'll learn
Master data integration techniques in Teradata
Implement advanced data exploration functions
Perform path and pattern analysis
Apply text analytics tools and practices
Develop comprehensive analytics solutions
Skills you'll gain
This course includes:
1.7 Hours PreRecorded video
13 assignments
Access on Mobile, Desktop, Tablet
FullTime access
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Get a Completion Certificate
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There are 4 modules in this course
This course covers advanced analytics using Teradata, focusing on data integration, exploration functions, path analysis, and text analytics. It includes practical applications through real-world scenarios and hands-on exercises with Teradata tools.
Integrating More Data in Teradata
Module 1 · 3 Hours to complete
Data Exploration Functions
Module 2 · 2 Hours to complete
Path and Pattern Analysis
Module 3 · 3 Hours to complete
Text Analytics
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Senior Analytics Consultant and Technical Instructor: Expert in Data Analytics and Educational Leadership
A seasoned Senior Analytics Consultant and Technical Instructor bringing over a decade of expertise in data analytics and data science. Specializing in Teradata, SQL, Python, dbt, and Power BI, with demonstrated success in handling complex datasets and extracting actionable insights. Professional experience includes leading data-focused initiatives, designing data strategies, implementing data pipelines, and deploying machine learning models, resulting in measurable improvements in sales, reduced churn, and enhanced customer outreach. Educational background includes a Bachelor of Science in Business Administration from the University of Colorado at Boulder's Leeds School of Business, with a focus on Information and Operations Management. Teaching methodology emphasizes hands-on instruction, incorporating real-world examples and fostering a high-standard learning environment that challenges students to exceed their potential. Committed to transforming careers through comprehensive technical education and practical application of data analytics concepts.
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Frequently asked questions
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