Certificate in Time Series Forecasting
Master predictive analytics by understanding and forecasting time department data patterns.
Beginner
Online
16 Hours
21,000 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The Certificate in Time Series Forecasting is being offered by Amity Online in collaboration with KPMG. This Certificate in Time Series Forecasting course is designed to equip participants with the theory and practice of analyzing sequential data and making accurate forecasts. This Certificate in Time Series Forecasting course is flexible with 16 hours of duration. This course navigates participants from the fundamental components of time series to advanced models like ARIMA and exponential smoothing. This Certificate in Time Series Forecasting course is ideal for students, data enthusiasts, and working professionals seeking to sharpen forecasting skills for real-world applications. This Certificate in Time Series Forecasting course combines recorded lectures, hands-on case studies, and industry perspectives to embed deep conceptual understanding and tool proficiency.
The Highlights
- 16 hours duration
- Beginner friendly course
- Opportunities for internship
- Flexible learning
- Learning advanced tools
Programme Offerings
- 16 hour duration
- Internship
- Beginner level
- Real-World Projects
- Five modules
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Amity Online |
The fees for the Certificate in Time Series Forecasting course is :
Fees components | Amount |
Original fees | Rs. 21,000 |
Discounted fees | Rs. 13,000 |
Eligibility Criteria
Having a basic knowledge of python programming, statistics, and data analytics can be useful for the participants while enrolling for this course.
What you will learn
This Certificate in Time Series Forecasting course will help the participants in building a strong foundation in the anatomy of time series identifying and separating trend, seasonal and cyclical components and understand how each affects the forecast. The participants will also dive into classical forecasting methods and progressively deeper modeling techniques. Through project-based learning, you’ll use Python to build, validate, and compare forecasting models. The participants will learn how to diagnose and reduce forecast errors, refine model parameters, and select the right model for different types of data.
Who it is for
The target audience for the Certificate in Time Series Forecasting course includes:
Admission Details
The admission procedure for Certificate in Time Series Forecasting course are:
Step 1: The participants must visit the official course URL - https://amityonline.com/certifications/time-series-forecasting
Step 2: Click on the “Enroll Now” option and fill the details asked.
Step 3: Once all the details are filled, then participants will receive an OTP.
Step 4: Once entered the OTP, they are expected to opt for payment of the certificate through any available online method. The candidate can click on the “Pay Now” option.
Step 5: One the fees is submitted, then the participants can start with this Certificate in Time Series Forecasting course.
The Syllabus
- Understanding what makes data a time series data
- Examples of time series data
- Components of time series data - Trends, Seasons, Cycles
- Decomposition of time series data
- Understanding moving average - Advantages
- Error analysis
- Experimenting with different intervals for moving average
- Comparison of intervals and analyzing error
- Understanding the Naïve Bayes technique for time series forecasting
- Different variants of Naïve Bayes - Trends and Seasons
- Analyzing error for different variants in forecasting
- Understanding the requirement of error optimization
- Understanding Exponential smoothening
- Working with Simulation for forecasting time series data
- Understanding ARIMA - Auto Regressive Integrated Moving Average
- Phases in ARIMA - Testing and Forecasting
- Differencing, ACF, PACF and analyzing phase-1 results
- Forecasting time series data using the ARIMA Model
Instructors
Amity Online Frequently Asked Questions (FAQ's)
The duration of this Certificate in Time Series Forecasting course is 16 hours.
Yes, this Certificate in Time Series Forecasting course is suitable for beginners.
Yes, this Certificate in Time Series Forecasting course is entirely online through recorded lectures and live sessions.
KPMG is the collaborator for this Certificate in Time Series Forecasting course.
Though this Certificate in Time Series Forecasting course is for beginners but having a basic understanding of business is useful.