Time Series Analysis Time Series Forecasting Time Series Analysis in R PhD (Stanford) faq

learnersLearners: 2
instructor Instructor: / instructor-icon
duration Duration: 5.00 duration-icon

Time Series Analysis is an essential skill for Data Scientists, with the average salary of an employee who knows Time Series being 18 lakhs per annum in India and $110k in the United States. This course covers Time Series Analysis, Time Series Forecasting, and Time Series Analysis in R, and is taught by a Ph.D. from Stanford. It is a great opportunity to gain the knowledge and skills needed to become a successful Data Scientist.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Youtube

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)


Time Series Analysis is a major component of a Data Scientist’s job profile and the average salary of an employee who knows Time Series is 18 lakhs per annum in India and $110k in the United States. So, it becomes a necessity for you to master time series analysis, if you want to get that high-profile data scientist job.

This full course on Time Series Analysis will be taught by Dr Abhinanda Sarkar. Dr Sarkar is the Academic Director at Great Learning for Data Science and Machine Learning Programs. He is ranked amongst the Top 3 Most Prominent Analytics & Data Science Academicians in India.

He has taught applied mathematics at the Massachusetts Institute of Technology (MIT) as well as been visiting faculty at Stanford and ISI and continues to teach at the Indian Institute of Management (IIM-Bangalore) and the Indian Institute of Science (IISc).

Thus, keeping in mind, the importance of time series analysis, we have come up with this Full-course:


We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
Time Series Analysis Time Series Forecasting Time Series Analysis in R PhD (Stanford)

This full course on Time Series Analysis will be taught by Dr Abhinanda Sarkar, the Academic Director at Great Learning for Data Science and Machine Learning Programs. He has taught applied mathematics at the Massachusetts Institute of Technology (MIT) as well as been visiting faculty at Stanford and ISI and continues to teach at the Indian Institute of Management (IIM-Bangalore) and the Indian Institute of Science (IISc).



This course on Time Series Analysis is designed to help learners gain a comprehensive understanding of the fundamentals of time series analysis and forecasting. It will provide learners with the necessary skills to apply time series analysis in their data science projects and to pursue a career in data science.


By taking this course, learners can develop their skills in time series analysis and forecasting, which can open up a range of career opportunities in data science. Learners can also use this course as a stepping stone to pursue a PhD in Time Series Analysis from Stanford.


Learners can supplement their learning by taking related courses such as Machine Learning, Statistics, and Data Visualization. They can also explore other topics such as Time Series Modeling, Time Series Forecasting, and Time Series Analysis in R. Additionally, learners can practice their skills by working on real-world datasets.

[Applications]
It is suggested that those who have completed this course on Time Series Analysis apply their knowledge to real-world problems. They can use the skills they have acquired to analyze and forecast time series data in R and use the insights to make informed decisions. Additionally, they can also pursue a PhD in Time Series Analysis from Stanford to further their knowledge and expertise in the field.

[Career Paths]
1. Data Scientist: Data Scientists use time series analysis to identify patterns and trends in data, which can be used to make predictions and inform decisions. They use a variety of tools and techniques, such as machine learning, statistical analysis, and data mining, to analyze large datasets. As the demand for data-driven insights continues to grow, the demand for data scientists with expertise in time series analysis is also increasing.

2. Business Analyst: Business Analysts use time series analysis to identify trends in customer behavior, market conditions, and other factors that can help inform business decisions. They use a variety of tools and techniques, such as predictive analytics, to analyze large datasets and identify patterns and trends. As the demand for data-driven insights continues to grow, the demand for business analysts with expertise in time series analysis is also increasing.

3. Research Analyst: Research Analysts use time series analysis to identify patterns and trends in data, which can be used to inform research projects. They use a variety of tools and techniques, such as machine learning, statistical analysis, and data mining, to analyze large datasets. As the demand for data-driven insights continues to grow, the demand for research analysts with expertise in time series analysis is also increasing.

4. PhD in Time Series Analysis: A PhD in Time Series Analysis is a research-based degree that focuses on the application of time series analysis to solve real-world problems. Students in this program will learn advanced techniques for analyzing time series data, such as machine learning, statistical analysis, and data mining. As the demand for data-driven insights continues to grow, the demand for PhDs with expertise in time series analysis is also increasing.

Course Provider

Provider Youtube's Stats at AZClass

Over 100+ Best Educational YouTube Channels in 2023.
Best educational YouTube channels for college students, including Crash Course, Khan Academy, etc.
AZ Class hope that this free Youtube course can help your Time Series Analysis skills no matter in career or in further education. Even if you are only slightly interested, you can take Time Series Analysis Time Series Forecasting Time Series Analysis in R PhD (Stanford) course with confidence!

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faq FAQ for Time Series Analysis Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: Can I take this course for free?

Yes, this is a free course offered by Youtube, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 2 people have participated in this course. The duration of this course is 5.00 hour(s). Please arrange it according to your own time.

Q5: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
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If you're looking for additional Time Series Analysis courses and certifications, our extensive collection at azclass.net will help you.

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