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Master the art of analyzing and forecasting time-dependent data with our Certificate in Time Series Forecasting. Perfect for professionals and beginners alike, this program blends foundational concepts with hands-on applications. Transform raw data into actionable predictions using advanced techniques and tools, driving smarter decisions across industries.
*Paid internship will be as per organization's norms or on a first-come, first-serve basis.
Total Modules: 5
Gain insight into a topic and learn the fundamentals.
Duration
16 hours
Level: Beginner
No prior experience required
Internship
Be eligible for internship (paid/unpaid)
Fee: ₹
21,000₹17,000
Skills you'll gain
Time Series Decomposition
Understand trends, seasonal patterns, and cycles in data.
Moving Average Techniques
Apply moving averages to smooth data and reduce noise.
Naïve Bayes Forecasting
Use Naïve Bayes and its variants for time series predictions.
Error Analysis
Analyze and optimize errors in forecasting for better accuracy.
Exponential Smoothing
Learn smoothing methods to handle irregular data patterns.
ARIMA Modeling
Build and evaluate Auto-Regressive Integrated Moving Average models.
Python for Time Series Analysis
Use Python libraries like Pandas and Statsmodels for forecasting.
Corporate Paid Internship
Gain real-world professional experience through an internship*.
Tools and Platforms covered
Program Overview and Structure
1. Introduction to Time Series Analysis
Learn to identify trends, seasons, and cycles and decompose time series data for more precise analysis and forecasting.
- 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
2. Forecasting Time Series using Moving Average
3. Naïve Bayes and Variants for Forecasting
4. Exponential Smoothing and Simulation using Excel
5. ARIMA Models for Forecasting Time series
Earn and Share Your Certificate
Meet our top-ranked faculty
Dilip Balasubramanian
Consultant Advisory-Transformation-BE, KPMG India
Amity Online Advantages: Why We're the Right Fit for You
Learn from Analytics Experts and Industry Veterans
Learn from experienced faculty and industry professionals who specialize in time series forecasting. Our experts help you build dynamic skills and knowledge that meet industry standards.
Real-World Case Studies and Data-Driven Projects
Gain hands-on experience with transforming raw data into actionable insights for smarter decision-making across industries.
Flexible Learning for Busy Professionals
Study at your own pace with a flexible curriculum designed to fit around your schedule, making it ideal for working professionals looking to upskill.
Certification with Industry Recognition
Receive a certification in Time series Forecasting from Amity University Online, respected by employers across multiple sectors.
Frequently Asked Questions
1. Who should take this course?
This course is suitable for data analysts, business analysts, and anyone interested in understanding and forecasting time series data.
2. Do I need prior experience in time series analysis?
3. What software will I need?
4. Will there be practical exercises?
5. How long is the course?
6. Is there a certification upon completion?
7. What Job roles will I be eligible for after completing this certificate?
Total Modules: 5
Gain insight into a topic and learn the fundamentals.
Duration
16 hours
Level: Beginner
No prior experience required
Internship
Be eligible for internship (paid/unpaid)
Fee: ₹
21,000₹17,000