A statistical method of dealing with time series data is known as time series analysis. A data in time series is present in the form of series of specific time periods or intervals. Time series analysis consists of methods that examines time series data to extract some meaningful results.
Time series analysis are also used in businesses to analyze data in business metrics. It is used in many other applications like economic forecasting, sales forecasting, and budgetary analysis. In this curation takethiscourse.net has compiled a list of 10 best free time series analysis to give a bird eye view to our users about the best time series analysis courses available online. So, let’s get started.
- Best Time Series Analysis Courses
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness. Best Time Series Analysis Courses
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- DeepLearning.AI via Coursera
- 92,498+ already enrolled!
- ★★★★★ (4,370 Ratings)
Online Course Effectiveness Score |
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ | Excellent ★★★★★ | Good ★★★★☆ | Good ★★★★☆ |
Learn to build scalable Al-powered algorithms through this course.
- The best thing about this course is that it will teach you the best practices to use TensorFlow which is a famous open-source framework for machine learning.
- The learners shall explore the use of RNN’s and 1D ConvNets for prediction. They will also learn to solve time series and forecasting problems.
- By the end of this course, the learners shall have developed skills in machine learning, forecasting, time series, and TensorFlow.
I enjoyed taking this course and I liked the fact that this course focused on practical application and demonstrated the latest aptitude of TensorFlow. (JH, ★★★★★)
More Time Series Analysis Courses
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- Jose Portilla via Udemy
- 32,652+ already enrolled!
- ★★★★★ (6,056 Ratings)
Online Course Effectiveness Score |
Content | Engagement | Practice | Career Benefit |
Good ★★★★☆ | Good ★★★★☆ | Good ★★★★☆ | Good ★★★★☆ |
Learn to use Python, NumPy, Pandas, and Stats models for time series analysis through this course.
- In this course, the learners will learn to work with Time Series Data, use stats models to analyze data in time series and they will also learn to use Pandas in manipulating data.
- The best thing about this course is that it will cover every detail about forecasting and will enable you to predict future data points.
- This course is for all the interested Python developers who are eager to learn about forecasting in time series data. Check out the Best Python Data Structure Courses at takethiscourse platform.
It was indeed a great course. The theoretical aspects were well defined, and they clarified our basic concepts. The exercises at the end of each topic were also very useful. (Josmell Cordova C, ★★★★★)
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- SUNY Online via Coursera
- 66,752+ already enrolled!
- ★★★★★ (1,441 Ratings)
Online Course Effectiveness Score |
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ | Excellent ★★★★★ | Good ★★★★☆ | Good ★★★★☆ |
This course ”Practical Time Series Analysis” gives you a professional environment where it is fairly easy to learn about Time Series Analysis.
- This course will give you an overview of various mathematical models that are used to define processes through which data is generated.
- This course is for all those people who have some technical competencies and are eager to deepen their understanding of data analysis.
It is a fabulous course that gives you the basics of time series and covers more advanced topics like SARIMA. This course contains ample examples which helped me in understanding the concepts better. (SS, ★★★★★)
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- Macquarie University via Coursera
- 3,533+ already enrolled!
- ★★★★★ (81 Ratings)
Online Course Effectiveness Score |
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ | Excellent ★★★★★ | Good ★★★★☆ | Good ★★★★☆ |
This course “Excel Time Series Models for Business Forecasting” explores various time series forecasting methods in Business.
- What makes this course unique is the fact that the learners will get to compare a variety of models and their forecasts to choose the model that suits best their business needs.
- By the end of this course, the learners will have gained some skills in time series models, business forecasting, and MS Excel.
- This course is for business individuals who want to use Time series models for their business forecasting.
I must say that the course content is just amazing. The faculty has also done a great job in teaching this course. There is no other course that gives conceptual clarity on time-series better than this course. (VA, ★★★★★)
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- Lazy Programmer Team via Udemy
- 2,705+ already enrolled!
- ★★★★★ (715 Ratings)
Online Course Effectiveness Score |
Content | Engagement | Practice | Career Benefit |
Good ★★★★☆ | Good ★★★★☆ | Good ★★★★☆ | Good ★★★★☆ |
If you want to learn modern developments like deep learning and time series classification, then this course is just for you.
- In this course, you will learn techniques like Exponential Smoothing, Holt’s linear trend model, and machine learning models.
- The best thing about this course is that its VIP course covers more exciting topics like AWS Forecast, FB time-series library, and financial volatility modeling.
- This course is for anyone, who is passionate about time series analysis and professionals who wish to go ahead in their financial careers.
This course helped me in improving my time series skills. I have learned a lot about statistical modeling and machine learning through this course. (Christopher A, ★★★★★)
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- IBM via Coursera
- 7,605+ already enrolled!
- ★★★★★ (83 Ratings)
This course will make you look at the models and various approaches that are exclusively designed to deal with the challenges in time series data.
- You will also explore stationary and non-stationary time series models and will learn to encounter problems that might occur in non-stationary data. You will also learn forecasting by using econometric models.
- As you reach the end of this course, you will be able to plot and manipulate numerous types of data, estimate the empirical autocorrelation function, and compare models for stationary series.
- This course is for anyone eager to learn about time series and survival analysis by using specialized models.
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- University of London via Coursera
- Study Type: Self-paced
- 31 hours of effort required!
This course “The Econometrics of Time Series Data” will enable you to look at the approaches used to deal with the trials elevated by time-series data.
- You will learn about time series models and will learn to estimate various models by using “R”.
- Once you have completed this course you will be able to plot various data types. You will also be able to estimate the empirical autocorrelation function and compare different models for stationary series.
- This course is for anyone who wants to learn in detail about time-series data.
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- University of California via Coursera
- Study Type: Self-paced
- 22 hours of effort required!
If you are a practicing and aspiring data scientist or statistician, then this course can be your ideal choice.
- This course “Bayesian Statistics” is about data analysis, techniques, and mixture models. You will also learn to build models that can define temporal dependencies and will learn to perform Bayesian inference and forecasting on the models.
- The best thing but this course is that you will apply what you have learned with the open-source, free software “R” along with the sample databases.
- By the end of this course, you shall have developed skills in Bayesian Statistics, Forecasting, dynamic linear modeling, and time series.
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- SAS via Coursera
- Study Type: Self-paced
- 7 months (1 hours / week) of effort required!
This Specialization “Analyzing time series and sequential data specialization” will make you learn about time series, building and managing a forecasting system on a large scale, and identifying &estimating single elements of interest by using different models.
- The main feature of this specialization is that you will be using SAS Visual Forecasting and other SAS tools to incorporate custom specifications into a largescale forecasting system.
- There are three main courses in this specialization.
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- The University of British Columbia via edX
- 13,539+ already enrolled!
- 5 weeks (6-10 hours / week) of effort required!
It is a comprehensive course on policy evaluations by using interrupted time series analysis.
- Interrupted time series analysis shall allow the learners to do interpretation, presentation of data sources, and identification of possible pitfalls.
- The learners will learn the strengths and drawbacks of ITS and RD studies, statistical modeling, production of compelling figures.
- The students shall be able to conduct, propose and interpret analysis using ITS and RD approaches after this course.
- This course is for all the professionals who want to position themselves in government or academic departments as technical expert in this respective field.
This was all we had to say about the 10 best free courses on Time Analysis. We hope this list will help you in choosing the course. Good luck.