Mastering Time Series Forecasting with Python
One of the branches of data science is time series analysis and forecasting, which is used in a wide range of fields nowadays. These talents are in high demand for a Data Scientist across several sectors. This course covers a wide range of forecasting and analytical modeling approaches.
The instructor begins by teaching you how to program in Python, which is a necessary ability. After that, you will explore basic time series theory to better comprehend the modeling that follows. Then, as the course progresses, you will work with a variety of Python libraries, giving you comprehensive instruction.
Along with other key libraries like NumPy, matplotlib, statsmodels, Sklearn, and ARCH, the course will make use of the robust time-series features offered by pandas. You need this course in order to finally understand the time series. Additionally, you will receive a ton of extra materials, including course notes, files, and notebooks.
Requirements:
- Basics knowledge in Statistics
- Basic understand on Python
- Should have Gmail Account and should able to open Google Drive
Who this course is for:
- Anyone who are interested to do time series analysis and forecasting
- Want to do advanced real time forecasting
Course Rating: 4.3/5
Enroll here: https://www.udemy.com/course/complete-practical-time-series-forecasting-in-python/
