Time Series Forecasting

Know your way around the Time Series Forecasting.

Time Series Forecasting Course at Careerera - Kick Start with our Faculty, Now!

Time series is nothing, but a collection of data points. The data that has been produced over a dedicated period, is analyzed by the professionals. The historic data is accessed and hence, seen as a time series - appropriately as data time series. It is accurately understood, acknowledged, and studied to make future forecasts. At Careerera, the time series forecasting course is a sole package for the aspirants and learners that are ready to enhance their knowledge prospects, expertise, and skills alike with time series forecasting.

The course that we provide to our learner students comes with adequate basic knowledge models that in turn help apply time series forecasting models in different business backgrounds and circumstances. It’s quite simple and evident, we nurture and give out expert professionals to the industry! Our skilled learners dominate the market with the right knowledge and grasp that they have on the concepts. The live online course offers insights into the usage and right implementation of the ARIMA model for time series scrutiny and its future forecasting. Here, the learner understands basic statistical tests for times series and finds all the ways taught by the industrial learners of how to effectively apply them in Python.

Course Description

The online course offers a step by step guidance. Overall implementation of the lesson plans and mentor’s live online classes are dedicated to making the aspirant or the professional understand times series concepts and analyze different datasets. Looking at job enlargement in the area of Data Science, the automatic upsurge in the application and comprehension of time series in Python is not seen as a sudden upliftment. Currently, the IT industry is recruiting and employing Data science professionals who relish in an added advantage of Time Series forecasting. This very well marks the clarity that the Time Series Forecasting Python course has another level of regard and value in the eyes of the professional industry, today!

In this course, our mentors stress upon a practical application of the data models - that is, implementation of autoregressive, moving average models, and cointegration models in a more empirical set of the financial, medicinal, and academic environment. With the help of real-life instances, the candidates are proffered with more confidence and credence in the knowledge that is being transferred to them. Our intellectual faculty is the best in the online education domain because we never miss on anything and enter deeper into the mindsets of the learners that enroll with us. We are adept at providing the best classes online.

About the Course

The course is offered through a step-by-step tutorial. It is designed keeping in mind the growing needs of the 21st century’s professional world outside. Also, to produce better evolved and expert professionals that have the modern knowledge of the new concepts and are equally handy and proficient on the software that demands their stern attention. Who all need it today as an added expertise? The Time Series Forecasting course is well valued by the developers, professionals who work in Python, and machine learning practitioners. At Careerera, the time series forecasting course focuses upon these time series forecasting methods:

  • Moving Average (MA)

  • Autoregression (AR)

  • Autoregressive Moving Average (ARMA)

  • Seasonal Autoregressive Integrated Moving-Average (SARIMA)

  • Autoregressive Integrated Moving Average (ARIMA)

  • Vector Autoregression (VAR)

  • Seasonal Autoregressive Integrated Moving-Average with Exogenous Regressors (SARIMAX)

  • Vector Autoregression Moving-Average (VARMA)

  • Simple Exponential Smoothing (SES)

  • Vector Autoregression Moving-Average with Exogenous Regressors (VARMAX)

  • Holt Winter’s Exponential Smoothing (HWES)

If this Time Series Forecasting course is what you were looking for, don’t wait now!

Get in touch with our faculty and the dedicated staff for more inquiries on the same. Boost your recruitment chance with this training certification course today. We wish you an innovative happy learning.


Program Curriculum

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See which topics you will have to assimilate.

  • Chapter - 1
  • What is Time Series?
  • Chapter - 2
  • Regression vs Time Series
  • Chapter - 3
  • Trend, Seasonality, Noise and Stationarity
  • Chapter - 4
  • Time Series Operations
  • Chapter - 5
  • Moving Average and Smoothing
  • Chapter - 6
  • Exponentially weighted forecasting model
  • Chapter - 7
  • Correlation and Auto-correlation
  • Chapter - 8
  • Holt's linear trend method
  • Chapter - 9
  • Holt's Winter seasonal method
  • Chapter - 10

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Get the answers to your questions here.

Q1 : What is a Time Series Forecasting course?

The Time Series Forecasting course is structured for business analysts and professionals that are currently working in the field of Data Science as either Solution Architects or Data Analysts. It is designed to eliminate the forecast error that is encountered by the professionals while helping businesses and organizations to reach and ascertain actual data statistics.

Q2 : Is learning a Time Series Forecasting course online worth it?

Yes, of course. The course is sought after by almost all IT sector workers. This data skill is in huge demand right now. Professionals are looking for reliable online certificate courses that can help them boost their careers in the field of Data Science. Time Series Forecasting course online is one of its kind. The online training course/program is worth it in every manner as it is no less insightful and discerning than offline courses. The online sessions are performed through virtual aids - mainly laptops and PCs. The online classes are recorded and the learners can study through the videos anytime they want to.

Q3 : Why should I choose Careerera for this program course?

Careerera is the best educational platform that provides premier certification courses and training programs to learners and students. Through its consistent eLearning practices, Careerera has created an intellectual audience for itself, worldwide. As a certificate course and training program provider, Careerera gives out accredited and recognized certificates to its students who pass the course with a good mark.

Q4 : Which are the best Algorithms used in Time Series Forecasting?

Usually, there are 5 common algorithms used in Time Series Forecasting: - Autoregressive (AR) - Autoregressive Moving Average (ARMA) - Moving Average (MA) - Exponential Smoothing (ES) - Autoregressive Integrated Moving Average (ARIMA)

Q5 : What if I miss the class?

Cover-up sessions from our intellectual subject faculty are always available onboard. If you miss an important class, the recorded video can be accessed from the LMS panel.



John Carter


The Training Course Of The Time Series Forecasting with
all the Mandatory Course Requirements with Distinction.

Certificate ID:32480XXX

Certificate URL : https://certificate.careerera.com/certificate/pdzB3dooSDI7nKEw