There are few technologies on which this course is having partial dependency and we will be considering them as the prerequisite. The very first thing is a good understanding of Data Science. Since this course is focused on a topic that is a part of Data Science, it is required from the trainees to possess a good understanding of this technology. If you are having good exposure to data science, you will find it very easy to work with the advanced aspects of this course. The next important thing is Machine learning. We have included units and projects in this course that is solely based on Machine learning. If you have a good understanding of the concepts that fall under the court of ML then it will be very easy for you to understand the related concepts. We have included all the topics that are considered as prerequisites in this course to make it easy for trainees to find everything at a single place.
This training program aims to provide knowledge to the folks about how time series and forecasting is done with python. This training will be helpful for the trainees to perform statistical programming. It allows you the trainee to see patterns in time series data, model this data and finally make forecasts based on those models.
Its objective is to assist the people about how to handle standard tasks in python. Topics like Python Bootcamp, Advanced Python for Data Analysis, Statistics for Data Science using Python, Data Science with Python is Machine Learning using Python, Forecasting the Sales using Time Series and Financial Analytics with Python.
Time Series Analysis and Forecasting can be considered as the approach that is concerned with leveraging the past data to implement the analysis and forecasting. It can also be defined as the process or procedures that can be implemented using programming language and help the businesses to determine the trend of the upcoming event. To implement the concept of Time series analysis, there should be some past data available that could be leveraged to draft the solution for prediction. There is the logic associated with these concepts and the logic has to be implemented precisely to let it work accurately. It helps the businesses to understand the trend which eventually helps them to make some critical business decisions.
This course comprises all the modules or subjects that one must master to work effectively with Time Series Analysis and Forecasting. At the beginning of the course, you will get to learn about the fundamentals of python which is the most essential thing that one should know to complete this course. You will get to know about all the topics that are directly or indirectly concerned with the topics that we are focusing on in this course. In the mid part of the course, you will come across various advanced-level topics that will help you to implement all the concepts of data science and ML with the help of Python.
We have added some projects in this course that will help you to get a deep exposure of all the concerned topics. You will be able to help the businesses as soon as you complete the course. You will also be able to draft the solution for any sort of analysis and forecasting based problems.
Who this course is for:
This course has been developed in a manner so that it welcomes all sorts of trainees who are willing to master Time Series Analysis and Forecasting with Python. The professionals, trainers, and the students could be the best target audience for this course. The developers or professionals who have good experience in Python or any other programming language and want to learn the implementation of Time Series Analysis and Forecasting with Python can be the best target audience for this course. They will be learning everything from an advanced perspective that will help them to get a deep understanding of the subject. The students who are working in Python and want to learn about analysis and forecasting can also be the best target audience for this training. They will be able to learn things from scratch. The educators can also leverage this course to learn more so that they can serve their trainees best.
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