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TIME SERIES ANALYSIS with PYTHON Course Bundle - 16 Courses in 1
This Time Series Analysis and Forecasting with Python includes 16 courses with 57+ hours of video tutorials and Lifetime Access. You will learn about how to use Python programming in time series analysis and forecasting of data from scratch.
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What you get in this TIME SERIES ANALYSIS with PYTHON Course Bundle - 16 Courses in 1?
57+ Hours
16 Courses
Course Completion Certificates
Lifetime Access
Self-paced Courses
Technical Support
Mobile App Access
Case Studies
About TIME SERIES ANALYSIS with PYTHON Course Bundle
| Courses | You get access to all 16 courses, Projects bundle. You do not need to purchase each course separately. |
| Hours | 57+ Video Hours |
| Core Coverage | The main aim of this course is to learn how to use Python on real forecasting and time series analysis |
| Course Validity | Lifetime Access |
| Eligibility | Anyone serious about learning Time Series Analysis and Forecasting with Python |
| Pre-Requisites | Basic knowledge about Python programming, Data Science and Machine learning |
| What do you get? | Certificate of Completion for each of the 16 courses, Projects |
| Certification Type | Course Completion Certificates |
| Verifiable Certificates? | Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills |
| Type of Training | Video Course – Self Paced Learning |
TIME SERIES ANALYSIS with PYTHON Course Bundle Curriculum
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MODULE 1: Statistics Essentials Training
Courses No. of Hours Certificates Details Python Bootcamp 10h 33m ✔ Advanced Python for Data analysis 6h 28m ✔ Statistics Essentials with Python 3h 23m ✔ Data Science with Python 4h 14m ✔ Machine Learning using Python 3h 26m ✔ -
MODULE 2: Logistic Regression & Predictive Modeling
Courses No. of Hours Certificates Details Sales Forecasting using Time Series Analysis in Python 2h 13m ✔ House Price Prediction using Linear Regression in Python 3h 2m ✔ Predictive Analytics and Modeling with Python 8h 27m ✔ Machine Learning Python Case Study - Diabetes Prediction 1h 02m ✔ Logistic Regression & Supervised Machine Learning in Python 2h 6m ✔ -
MODULE 3: Learning from Practicals & Case Studies
Courses No. of Hours Certificates Details Linear Regression & Supervised Learning in Python 2h 28m ✔ Predicting Credit Default using Logistic Regression in Python 3h 3m ✔ Financial Analytics with Python 1h 6m ✔ -
MODULE 4: Advanced Projects based Learning
Courses No. of Hours Certificates Details AI Artificial Intelligence & Predictive Analysis with Python 6h 15m ✔ Python Case Study - Sentiment Analysis 57m ✔ Project on Tensorflow - Implementing Linear Model with Python 1h 46m ✔
Goals
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
Objectives
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.
Course Highlights
This training program will include nine main modules of training as well as projects which are outlined in such a way that all the necessary information are highlighted about the course:
Python Bootcamp will be the first module of the training program where you will learn about python programming from scratch from the beginner’s level. It will be almost a ten hours long video tutorial which will give you a brief introduction about all the training modules and carry on by the explanation about python boot camp.
Advanced Python for Data analysis will be next to where you learn about the advanced level of python for the analysis of data. It will be truly impactful for the trainees to work in real organizations using complex data and analyze it in a much simpler manner. The course modules will be explained through video tutorials in detail.
Statistics for Data Science using Python is the third module in which you will learn about statistics for data science that can be performed using python programming. The detailing about all the units covered in this course will be done through video lectures.
Data Science with Python is next to where a trainee is introduced to the learning of data science through the python programming language. This skills-based specialization which was proposed for learners.
Machine Learning using Python this course will introduce the learner about applied machine learning which focuses more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different from descriptive statistics. It will be explained through video tutorials for almost three hours.
Forecasting the Sales using Time Series is next in which how forecasting of sales can be done using the time series which will be explained in detail using the video tutorials.
Financial Analytics with Python is the next module where you will be learning about python and is used for financial analytics. It will help the trainee to analyze financial data.
Artificial Intelligence with Python is the last module that covers different Artificial Intelligence learning techniques of neural networks using python programming which will be explained through a video tutorial of almost six hours long.
Project Highlights
This training program includes seven project modules that will be covered briefly through the video tutorials. So the project will cover all the training modules as well as the project modules. The project will be submitted at the end of all the training as well as the project modules.
Project – House Price Prediction is the first project of the training program on which you have to make
Projects on ML – Predictive Modeling where you will be working on how predictive modeling can be performed using machine language. All the concepts will be explained through videos and all kinds of queries will also be solved by the mentor.
Project on Python Data Science is next in which you will be working on the various data using python. This project will increase your understanding of the course and how python is used in data science.
Project – Linear Regression in Python is the fourth project where you will be working on Linear regression statistics for modeling the relationship between a dependent variable with a given set of independent variables.
Project – Credit Default using Logistic Regression is next to where you will be working on how to predict the probability of credit defaulters based on credit card owner’s characteristics and payment history.
Machine Learning with Python project is where you will be working on how machines can be performed using Python. All the concepts of this project will be explained in detail through video tutorials.
Time Series Analysis and Forecasting with Python- Certificate of Completion
What is Time Series Analysis and Forecasting 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.
What skills will you learn in this Course?
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.
Pre-requisites
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- 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.
Target Audience
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- 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.
FAQ’s- General Questions
How long it may take to complete this course?
This course contains all the essential topics that one must master to implement Time Series Analysis and Forecasting. To cover all the topics, this course is a bit time consuming and may take around seven to ten days. If you are willing to master this technology, in that case, it may take around one to two months based on your familiarity with the concepts that we have considered as a prerequisite. If you are new to python, you may need to practice things for at least two months while the experienced folks can practice for around a month to master implementing the analysis and forecasting concepts.
Why should I take this course?
This course is for all those folks who are interested in learning Time Series Analysis and Forecasting with Python. We have ensured to cover all the topics that are essential to grab the core concepts that we would have covered in this course. In addition to this, the language used to explain things in the course is very simple which makes it easy for the trainees to understand things very clearly. This course is moreover a one-stop solution for the folks who want to dive deep into learning advanced aspects of python that eventually helps them to understand Time Series Analysis and Forecasting.
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Career Benefits
- Python programming language is one of the most powerful programming languages and due to its robust nature, it is being welcomed by the organizations to get their platforms developed. All across the world, there is a huge demand for python developers who have good experience in the advanced aspect of python. The developers with hands-on Time Series Analysis and Forecasting with Python are preferred over the developers who would have merely worked with the simple concepts of python. If you are willing to learn Time Series Analysis and Forecasting with Python, you are at the best place and you can opt for this course in just a few clicks and give an amazing turning point to your career.
Reviews
Completion of predictive modeling and implementation using excel.
In this course named “Predictive modeling and implementation using MS excel”, I learned about the statistical calculation using excel. the course is very comprehensive and easy to memorize because of the expertise of the lecturer. with this course, I can avoid much error when doing statistical calculations like Anova. it also helps me to save time. THANKS, EDUCBA
SEYNI SOLEY BOUBACAR
Predictive Modeling
This is a good course for those who have zero or little knowledge of predictive modeling. It covers most of the algorithms to do predictive modeling. It also provides some examples and sample questions for practice. I wish this could provide more study material and more practical questions.
Lee Tze Hui
Amazing course
There are too many good points to list! The course was very relevant to my job and will help me in most aspects of my work. The hands-on practical training sessions were very good. The trainer got the learning message across by breaking everything down into simplified sections. Handout material was very good as there is a lot of information in them that will help me in my job.
