Fundamentals of Time Series Analysis

This course introduces the learner to the concept of time series data and  focuses on various visual and statistical techniques to analyse and infer from time series data and lay a foundation for different forecasting techniques.

  • icon-data 9 Data Cases
  • icon-reading 2 Readings
  • icon-quiz 7 Quizzes
Fundamentals of Time Series Analysis
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    Difficulty: Advanced

    Prior knowledge or professional experience is strongly recommended.

  • Asset 1
    Duration: Approximately 6 hours

Course Overview

  • Time Series analysis forms the building blocks for analyzing data series formed of data points captured at equal intervals of time.
  • Learn the basic concept of time series data forecasting and how it is different from any other data used in machine learning.
  • Learn different visualization, statistical techniques to analyse and infer from time series data.
  • Gain practical experience by applying the understanding in several real-world business case scenarios.

What’s included

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Lifetime Access

Access this project for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

We recommend completing this project on a desktop

Skills You Will Learn

Autocorrelation Analysis

Time Series Components

Partial Auto-Correlation Analysis

Trend Analysis

Time Series Analysis

Exploratory Data Analysis

Time Series Plots

Smoothing Techniques

Seasonal Components

Removing Trend

Associated Learning Tracks

Syllabus

Introductory concept of time series data – summarizing and viewing time series data, smoothing.

Concept of classical time series models – calculate and remove seasonal component, trend.

Identify the presence of any trend and seasonal component in the data through ACF and PACF.

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.

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

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Head Data and Analytics at CitiBank India

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Planning & Analytics @ Brooks Brothers

“Great way to learn data analytics and data science”

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Manager – Applications Development

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Student At Ohio Wesleyan University
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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.

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