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Updated in [February 21st, 2023]

Time Series - Forecasting using a line of best fit by eye.
Time Series - Forecasting using a Regression Line.
Time Series - Introduction.
Time Series - Moving Averages.
Time Series - Trend and Variation.

(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
What skills and knowledge will you acquire during this course?
Participants of this course will acquire a comprehensive understanding of the fundamentals of time series analysis and forecasting, including the use of line of best fit by eye, regression line, moving averages, trend and variation. They will also gain an understanding of the importance of time series analysis in various fields, such as finance, economics, and engineering. Additionally, they will explore related learning topics, such as forecasting methods, data visualization, and machine learning. These skills and knowledge can be applied to their own data sets to forecast future trends, identify trends and variations in their data, and develop strategies to improve the accuracy of their forecasts. These skills and knowledge can be used in various career paths, such as Data Scientist, Business Analyst, Financial Analyst, and Data Visualization Specialist.

How does this course contribute to professional growth?
This course contributes to professional growth by providing learners with a comprehensive understanding of the fundamentals of time series analysis and forecasting. Learners can gain an understanding of the importance of time series analysis in various fields, such as finance, economics, and engineering. Additionally, learners can apply the concepts learned to their own data sets, use the line of best fit by eye to forecast future trends, and use regression lines to make more accurate predictions. Furthermore, learners can explore related learning topics, such as forecasting methods, data visualization, and machine learning. This course can help learners develop the skills necessary to pursue a career in data science, business analysis, financial analysis, or data visualization.

Is this course suitable for preparing further education?
Time Series - S2 is a comprehensive course that provides learners with a comprehensive understanding of the fundamentals of time series analysis and forecasting. Learners can gain an understanding of the importance of time series analysis in various fields, such as finance, economics, and engineering. Additionally, learners can explore related learning topics, such as forecasting methods, data visualization, and machine learning. This course provides learners with the necessary skills and knowledge to pursue a career in data science, business analysis, financial analysis, or data visualization.