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  • DegreeIcon

    Total Modules: 5

    Gain insight into a topic and learn the fundamentals.

  • DegreeIcon

    Duration

    16 hours

  • DegreeIcon

    Level: Beginner

    No prior experience required

  • DegreeIcon

    Internship

    Be eligible for internship (paid/unpaid)

  • DegreeIcon

    Fee: USD 300 USD 200

Hurry! First batch intake closes on 30 Aug 2026 — only 5 internship spots left!

Skills you'll gain

skill Gain

Time Series Decomposition

Understand trends, seasonal patterns, and cycles in data.

skill Gain

Moving Average Techniques

Apply moving averages to smooth data and reduce noise.

skill Gain

Naïve Bayes Forecasting

Use Naïve Bayes and its variants for time series predictions.

skill Gain

Error Analysis

Analyze and optimize errors in forecasting for better accuracy.

skill Gain

Exponential Smoothing

Learn smoothing methods to handle irregular data patterns.

skill Gain

ARIMA Modeling

Build and evaluate Auto-Regressive Integrated Moving Average models.

skill Gain

Python for Time Series Analysis

Use Python libraries like Pandas and Statsmodels for forecasting.

skill Gain

Corporate Paid Internship

Gain real-world professional experience through an internship*.

Tools and Platforms covered

1. Introduction to Time Series Analysis

Learn to identify trends, seasons, and cycles and decompose time series data for more precise analysis and forecasting.

  1. Understanding what makes data a time series data
  2. Examples of time series data
  3. Components of time series data - Trends, Seasons, Cycles
  4. 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

Amity online

Meet our top-ranked faculty

Amity online

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

What makes these certifications unique?

These certifications are unique because they offer industry-relevant skills through expert-led content, hands-on projects, and practical applications, preparing you to confidently handle real-world time series forecasting challenges.

Who is this program for?

What are the prerequisites for enrollment?

dots
  • DegreeIcon

    Total Modules: 5

    Gain insight into a topic and learn the fundamentals.

  • DegreeIcon

    Duration

    16 hours

  • DegreeIcon

    Level: Beginner

    No prior experience required

  • DegreeIcon

    Internship

    Be eligible for internship (paid/unpaid)

  • DegreeIcon

    Fee: USD 300 USD 200