What you'll get
- 27+ Hours
- 9 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Focuses on practical forecasting and time series analysis using Tableau in real-world scenarios.
- Provides one year of full course access.
- Designed for individuals committed to learning time series analysis and forecasting with Tableau.
- Assumes a foundational understanding of Tableau.
- Includes completion certificates for all nine courses, along with hands-on projects.
- Offers verifiable certificates with unique links suitable for resumes and LinkedIn profiles.
- Delivered as a self-paced video-based learning program.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Tableau Desktop Training 2022 | 4h 21m | ✔ | View Curriculum |
| Tableau Project-Creating Dashboard and Stories For Financial Markets | 2h 08m | ✔ | View Curriculum |
| Data science Using Tableau | 4h 7m | ✔ | View Curriculum |
| Business Intelligence with Tableau | 5h 43m | ✔ | View Curriculum |
| Business Intelligence and Analytics Using Tableau | 5h 38m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Fatal Accidental Drugs Overdose Analysis | 1h 26m | ✔ | View Curriculum |
| Tableau Project | 45m | ✔ | View Curriculum |
| Customer Analytics using R and Tableau | 2h 7m | ✔ | View Curriculum |
| Pricing Analytics using R and Tableau | 2h 39m | ✔ | View Curriculum |
Description
Time Series Analysis and Forecasting refers to a structured method of examining historical, time-based data to uncover patterns and insights that support accurate predictions. This approach helps organizations identify trends in specific events, enabling informed estimates of future business performance. The methodology can be effectively applied using tools such as R and Tableau. When implemented correctly, these techniques are straightforward to manage and apply in real-world scenarios. Time-dependent historical data serves as the primary input, and the resulting analysis delivers reliable outputs that help organizations plan and forecast future outcomes with confidence.
Sample Certificate
Requirements
- Several supporting technologies play a direct or indirect role in this domain, and the course treats them as essential background knowledge.
- A solid understanding of Business Intelligence is highly valuable, as it simplifies the learning of advanced concepts in time series analysis and forecasting.
- Prior experience with BI tools enables learners to grasp complex analytical topics more efficiently.
- A foundational level of knowledge in R is required, as some modules involve applying R alongside Tableau.
- Familiarity with R helps learners quickly understand and apply concepts related to statistical analysis and forecasting.
Target Audience
- Designed for individuals aiming to build strong expertise in Time Series Analysis and Forecasting using Tableau.
- Well-suited for working professionals seeking practical, hands-on exposure, regardless of their current technical background.
- Ideal for students who want to learn forecasting and analysis with Tableau, starting from fundamentals and progressing to intermediate and advanced concepts.
- Relevant for educators and trainers who wish to deepen their Tableau knowledge and enhance the quality of instruction they deliver to learners.
