VS
Reviewed May 21, 2026
Helpful resources and downloadable materials added extra value to the course.
Time Series Forecasting Toolkit: Excel, R, Python and EViews
Build practical time series forecasting skills across Excel, R, Python, and EViews. Turn historical data into reliable forecasts using regression, exponential smoothing, ARIMA, SARIMA, and ARMA models. This Specialization develops a complete forecasting workflow, from identifying trends and seasonality to building, validating, interpreting, and refining predictive models. You will begin with accessible Excel-based forecasting using weighted averages, exponential averages, correlation, and regression. You will then apply R to decomposition, regression-based forecasting, ACF and PACF diagnostics, and advanced ARIMA and SARIMA modeling. Using Python, you will preprocess data, handle missing values and outliers, select features, create regression and time series models, evaluate performance, and communicate results. Finally, you will use EViews to estimate and assess univariate ARMA models through correlograms, residual analysis, parameter significance, and the Ljung-Box Q test. Through hands-on applications in climate analysis, workforce analytics, business, finance, and operations, you will learn to select suitable methods, compare model performance, and produce evidence-based forecasts for informed decision-making.
Status: Financial Forecasting
Status: Data Preprocessing
BeginnerSpecialization
Top reviews across Time Series Forecasting Toolkit: Excel, R, Python and EViews
KK
Reviewed Feb 12, 2024
The course provided a comprehensive overview. Concepts were explained clearly with examples that made it easy to understand.
CW
Reviewed Mar 16, 2026
A very well-designed course that combines statistical theory with real-world forecasting applications. The sections on regression models and decomposition techniques are especially insightful.
AS
Reviewed Mar 3, 2025
The course is really good I really enjoyed it and learned a lot.
NL
Reviewed May 20, 2026
This course helped me gain confidence in applying the concepts practically.
NB
Reviewed Feb 8, 2024
The course covered a wide range of topics with depth and clarity.
AG
Reviewed May 20, 2026
The assignments and quizzes reinforced the learning effectively.
MM
Reviewed Mar 3, 2024
Excellent course! All concepts are explained well.
MM
Reviewed Mar 29, 2026
A highly informative course that explains complex forecasting techniques in a structured and approachable manner. It helped me better understand how to work with time-dependent data.
AS
Reviewed Mar 19, 2024
Essential guide for data scientists: simplifies regression and forecasting in Python with powerful techniques, good course
SG
Reviewed Mar 14, 2026
A highly engaging course that teaches not just tools, but how to apply them professionally. The cloth simulation for beds and pillows adds realistic detail and depth.
AC
Reviewed Feb 16, 2025
Amazing course! All what is needed in is here and explained very thoroughly.
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