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What is Forecasting?

Transform your data into actionable insights with our free forecasting course! Learn from experts, develop real-world skills, and unlock new opportunities for growth. Enroll now!

Instructor:

Mr. Bharani Akella
4.45
average rating

Ratings

Beginner

Level

1.5 Hrs

Learning hours

5.8K+
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Skills you’ll Learn

About this Free Certificate Course

Forecasting is a data science technique used to predict future happenings by considering historical data. The business uses forecasting for predicting any trend or future event. It helps in determining future demand for a product or a service too. When the decisions are made in the business, it is very important to choose the right forecasting technique for suiting the needs of the moment. There are various forecasting methods, and linear regression is widely used. In this course, we shall understand forecasting, what forecasting is in management, and forecasting on Covid data and GRE data using the linear regression algorithm. This demonstration will be done using Python. Get rewarded with a course completion certificate from Great Learning upon the successful completion of the program. 

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Course Outline

Introduction to Forecasting

In this module, we will be introducing forecasting while understanding the definition of forecasting.

Forecasting Demo on Covid Data

In this module, we will be working on the Covid data by using the data for analysis and forecasting future trends.

Forecasting Demo on GRE Data

In this module, we will be working on the GRE data by using the data for analysis and forecasting of the trends.

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Our course instructor

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Mr. Bharani Akella

Data Scientist

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3.2M+ Learners
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82 Courses
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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4.45
Course Rating
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Ratings & Reviews of this Course

Reviewer Profile

5.0

Informative and Well-Structured Forecasting Course
The course covered the fundamentals of forecasting in an easy-to-understand manner. The curriculum was well-organized, and the tools used were practical for real-world applications. The quizzes and assignments were very engaging, and the instructor explained the concepts clearly, making it easy to follow along. Overall, a great learning experience.
Reviewer Profile

5.0

The Step-by-Step Approach and Practical Examples Really Enhance the Learning Experience
Whether you're a beginner or an advanced learner, these tutorials are a valuable resource.

What is Forecasting?

1.5 Learning Hours . Beginner

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Frequently Asked Questions

What are the four types of forecasting?

Four types of forecasting models are:

What is a forecasting algorithm?

A forecasting algorithm is a predictive algorithm that uses AI-based estimation. It is a statistical algorithm that feeds the model with the historical data to make predictions on what might most likely happen in the future.

What model is best for forecasting?

The casual model is the aptest forecasting tool. It mathematically expresses the suitability of casual relationships and includes pipeline considerations like inventories and market survey insights. It also incorporates time series analysis results.

Which algorithm is best for forecasting?

Cluster analysis, factor analysis, and regression analysis are the most popularly used algorithms. You can choose amongst these algorithms to suit your demands. A particular data might require cluster analysis, but another might require regression analysis. So choose according to the operation the data requires to discover the useful insights.

What are the demand forecasting methods?

Demand forecasting includes five methods. They are:

  • Trend projection: Uses the past sales details to predict future sales. 
  • Market research: Involves data from customer surveys.
  • Sales force composite: Uses forecasts from the sales team to forecast customer demand.
  • Delphi method: Involves experts and competent professional advice to drive the process.
  • Econometric: Collectively uses the sales data and the outside force data to effectively drive the process.

Will I get a certificate after completing this Forecasting free course?

Yes, you will get a certificate of completion for Forecasting after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
 

How much does this Forecasting course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Forecasting can get started with this course.
 

Is there any limit on how many times I can take this free course?

Once you enroll in the Forecasting course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
 

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.
 

Why choose Great Learning Academy for this free Forecasting course?

Great Learning Academy provides this Forecasting course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts.

Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Forecasting course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.
 

Will I have lifetime access to this free Forecasting course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 
 

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Other Data Science tutorials for you

Forecasting is the process of making predictions about future events based on historical data and other relevant information. Forecasting is a crucial tool for organizations as it helps them plan for the future and make informed decisions.

There are many different types of forecasting methods, including time-series forecasting, regression analysis, and causal models. Time-series forecasting involves using historical data to predict future values of a single variable, such as sales or stock prices. Regression analysis is a statistical method used to model the relationship between a dependent variable and one or more independent variables. Causal models, on the other hand, focus on the underlying relationships and causes behind the data and use that information to make predictions about future events.

Forecasting can be applied in a wide range of fields, including finance, economics, marketing, and supply chain management. For example, financial institutions use forecasting to predict future interest rates and currency exchange rates, while marketing organizations use it to predict consumer behavior and sales. In supply chain management, forecasting is used to predict demand for products, which can help organizations optimize inventory levels and minimize waste.

Forecasting is not a perfect science, and there is always some level of uncertainty involved. This uncertainty can come from various data sources, such as random fluctuations, changes in the underlying relationships between variables, and unanticipated events. Forecasters must carefully consider these sources of uncertainty and use appropriate methods to account for them in their predictions.

In this free course, you will learn about forecasting and its application in Python. The course will provide an introduction to forecasting, covering the basics of time series analysis and popular forecasting methods, such as ARIMA and exponential s

In conclusion, forecasting is an important tool for organizations to plan for the future and make informed decisions. There are many different types of forecasting methods, each with its own strengths and limitations, and the appropriate method will depend on the specific application and the available data. Regardless of the method used, forecasting involves considering the underlying causes and relationships in the data and using that information to make predictions about future events.

 

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