TABLEAU TIME SERIES ANALYSIS
Learning Path | 9 Course Series
This Time Series Analysis and Forecasting with Tableau includes 9 courses with 27+ hours of video tutorials and One year access. In this course, we are going to learn one of the more important concepts that will help the businesses to make decisions and forecast the trend with data which may help them to grow their business in the competitive world. We will learn how to use Tableau to work with time series, generate forecasts and perform business analytics effeciently.
Offer ends in:
What you'll get
- 27+ Hours
- 9 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Courses: You get access to all 9 courses, including the Projects bundle. You do not need to purchase each course separately.
- Hours: 27++ Video Hours
- Core Coverage: The main aim of this course is to teach students how to use Tableau for real forecasting and time series analysis.
- Course Validity: One year access
- Eligibility: Anyone serious about Time Series Analysis and Forecasting with Tableau
- Pre-Requisites: Basic knowledge of Tableau
- What do you get? Certificate of Completion for each of the 9 courses, Projects
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These links can be included in your resume/LinkedIn profile to showcase your enhanced skills
- Type of Training: Video Course – Self-Paced Learning
Content
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MODULE 1: TABLEAU Essentials Training
Courses No. of Hours Certificates Details Tableau Desktop Training 2024 4h 21m ✔ Tableau Project-Creating Dashboard and Stories For Financial Markets 2h 08m ✔ Tableau 4h 7m ✔ Business Intelligence with Tableau 5h 43m ✔ BI Tools and Tableau Analytics 5h 38m ✔ -
MODULE 2: Projects based Learning
Courses No. of Hours Certificates Details Tableau Practical - Fatal Accidental Drugs Overdose Analysis 1h 26m ✔ Tableau Practical - Super Store Business Requirements 45m ✔ Case Study - Customer Analytics using Tableau and R 2h 7m ✔ Case Study - Pricing Analytics using Tableau and R 2h 39m ✔
Description
Time Series Analysis and Forecasting can be considered the procedure that allows one to leverage the past timing record to perform the analysis and derive some conclusions to facilitate forecasting. It can also be defined as the approach that enables one to estimate the trend of a particular event, which eventually helps businesses to predict their future performance. It can be implemented using the R programming language and Tableau. Once it is implemented properly, it is very easy to manage and work with these concepts of analysis and forecasting. Past data based on time plays a vital role in the entire scenario; it is the main input source for the entire function. It is very easy to work with, and the outcome generated is sufficiently robust enough to help the organizations estimate their performance in the upcoming event.
Sample Certificate
Requirements
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- Certain technologies are directly or indirectly concerned with this concept. Their technologies have been considered a prerequisite in this course.
- Business intelligence is one of the most important technologies that one should be aware of to learn time series analysis and forecasting. If you have good experience with business intelligence, you will find it very easy to learn some of the advanced-level concepts that have been covered in this course.
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The next important thing is the basics of the R programming language. In this course, you will encounter some modules where you will need to leverage the R programming language in conjunction with Tableau. If you have experience with R, you will find it easy to learn those concepts that are mainly concerned with the R programming language.
Target Audience
- Anyone who wants to master Time Series Analysis and Forecasting with Tableau can be the best target audience for this course. Mainly, this course targets professionals, students, and educators. The professionals willing to learn about Time Series Analysis and Forecasting with Tableau can be the best target audience. Regardless of the technology they are currently working with, they will be learning this topic from a practical point of view. The students who are willing to master analysis and forecasting with the help of Tableau can be the best target audience for this course. They will be covered from scratch and will also cover all the medium and advanced-level topics.
The educators who are training people in Tableau and want to learn the advanced aspects so that they can train their trainees more effectively can also be the best target audience for this course.
Course Ratings
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Very good course!! It is exhaustive, covers all the topics related to customer analytics. The case studies given are very important and relevant. These case studies are very helpful in learning the course. Practical applications are very well covered. One should know the basics of excel and R to learn fast.Thank you!
Rutvik Prakash Tidke
The course covers good fundamentals of R and Tableau. Its beneficial if you are starting with Data analytics. The customer churn cycle has been clearly explained and is really helpful. There is a lot to gain out of this course if you are being able to apply the concepts taught correctly and efficiently.
Apoorv Parmar
This is my first online course and I am satisfied with this program. This course is in-depth with customers analysis. Clear teaching methods and hands on examples. This course gives real life data explains how to use the data. I plan to take more courses in the future. I would recommend this course to a friend.
Ricky Ly
It was a very comprehensive course with nice examples. It helped me in all aspects of pricing analytics like -descriptive, predictive and prescriptive. The explanation is supplemented with small exercises that help in gaining hands on experience of a business problem. The case studies are carefully picked to explain the concepts. It helped me gain a better understanding of the market. Very helpful.
Abbas Singapurwala