Professional Certificate in Forecasting with Data Science
-- viewing nowThe Professional Certificate in Forecasting with Data Science is a crucial course that bridges the gap between data science and business forecasting. With the increasing industry demand for professionals who can effectively use data to make informed business decisions, this certificate course is more important than ever.
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Course Details
• Introduction to Forecasting: Defining forecasting, its importance, and applications
• Data Analysis for Forecasting: Data preprocessing, exploratory data analysis, and data wrangling
• Time Series Analysis: Time series components, decomposition, and autocorrelation functions
• Exponential Smoothing Models: Simple, Holt's, and Holt-Winters methods
• ARIMA Models: Autoregressive, moving average, and ARIMA model concepts
• Seasonal ARIMA and SARIMAX Models: Seasonal differencing, SARIMA model development, and SARIMAX extensions
• Vector Autoregression (VAR) Models: Multivariate time series analysis and forecasting
• Introduction to Machine Learning for Forecasting: Supervised learning, regression trees, and random forests
• Prophet and LSTM Models: Advanced forecasting techniques with Prophet and Long Short-Term Memory networks
• Model Evaluation and Selection: Cross-validation, information criteria, and model selection strategies
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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