Time Series Forecasting

This learning track introduces the fundamental concepts of time series data, starting with an understanding of the various components, visualization techniques, statistical analysis, smoothing and detrending techniques and implementation of various time series models like AR, MA, ARMA etc. using Python to perform forecasting.

  • icons final-02 1 Course
  • icons final-03 8 Projects & Case Studies
Chart on an ipad showing Time Series Chart
  • 1 bar graph
    Difficulty: Beginner

    Minimal prior knowledge or professional experience needed

  • Asset 1
    Duration: Approximately 1 Month

    Suggested learning pace is 5-6hr/week

Course Overview

  • Learn the basics of time series analysis, different components of time series data and various visualization techniques to understand the underlying pattern of the data.
  • Learn various techniques of smoothing and differencing to process time series data and perform statistical analysis to check stationarity and autocorrelation in the data.
  • Learn how to apply the concepts and perform forecasting using time series models like ARIMA etc.
  • Learn how to apply the concepts learned on live data across industries to generate insights.

What’s included


Shareable Certificate

Earn a sharable certificate upon completion


Lifetime Access

Access this learning track for life once completed


Flexible Scheduling

Start learning online immediately, at your own pace


Desktop Only

We recommend completing this learning track on a desktop

Skills You Will Learn

Components of Time Series

Decomposition of Time Series

Smoothing of Time Series

Autocorrelation Analysis

Partial Correlation Analysis

Time Series Modelling

Data Visualization

Statistical Testing


  • Fundamentals of Time Series Analysis

  • Forecasting Vehicle Registration for Sales Trends on Monthly basis
  • Forecasting Average Revenue Per User (ARPU) for a Telecom Client
  • Demand Forecasting for a Global Retail Company
  • Monthly demand forecasting in retail industry
  • Forecasting unemployment insurance initial claims
  • Forecasting Pharma Product Sales
  • Forecast daily electricity prices for hedging – Application of ARIMA
  • Stock Price Analysis for Banking Institutions using Time Series Techniques

How it Works

Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.

With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.

Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.

Learner Outcomes

Complete learning tracks to earn sharable certificates and badges. These awarded items will be look great in your portfolio, resume, and LinkedIn as you showcase your skills and project experience to employers and colleagues.

  • Understanding of the basics of time series analysis, through different visualization techniques to uncover the patterns in the data.
  • Ability to understand and apply various smoothing and differencing techniques to make the time series stationary, various statistical test to check stationarity and autocorrelation analysis through ACF and PACF.
  • Application of the concepts learned and various time series models to perform forecasting on real-world business scenarios.
  • Interpret and visualize the outcome of the applied techniques.

“Rolai provides contextual upskilling opportunities … on one single platform.”

Sundar Ramamoorthy
Managing Director of Solutions.AI, Global Products & Delivery Lead at Accenture

“An excellent tool for anyone who wants to quickly learn the ropes.”

Sanket Kawde
Head Data and Analytics at CitiBank India

“Rolai is the best program available for someone looking to enhance their skills”

Connor McEachron
Planning & Analytics @ Brooks Brothers

“Great way to learn data analytics and data science”

Balaji Reddy
Manager – Applications Development

“The courses were excellent and covered topics that I didn’t expect”

Aadarsha G
Student At Ohio Wesleyan University
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What People Are Asking About Data Education

Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.

Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.

No additional tools are needed to begin learning with Rolai. Our virtual lab contains the necessary data workspace and an embedded coding console.

  • We have internal SMEs across industries and domains that we work with to develop relevant content and assure quality datasets and problem statements.
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