EDUCBA

EDUCBA

MENUMENU
  • Explore
    • Lifetime Membership
    • All in One Bundles
    • Fresh Entries
    • Finance
    • Data Science
    • Programming and Dev
    • Excel
    • Marketing
    • HR
    • PDP
    • VFX and Design
    • Project Management
    • Exam Prep
    • All Courses
  • Blog
  • Enterprise
  • Free Courses
  • Login

Learn from Home Offer

limited Period offer Offer

TIME SERIES ANALYSIS Course Bundle - 13 Courses in 1

This Time Series Analysis Training includes 14 course with 68+ hours of video tutorials and Lifetime Access. You get to learn about how to use Data Science, Statistics & Machine Learning to build and forecast the models in different organizations or business or financial sectors.

MOST POPULAR
4.5 (10,227 ratings)
Offer ends in:

Black Friday Offer

* One Time Payment & Get Lifetime Access
Home Data Science Data Science Courses TIME SERIES ANALYSIS Course Bundle – 13 Courses in 1

What you get in this TIME SERIES ANALYSIS Course Bundle - 13 Courses in 1?

68+ Hours
14 Courses
Course Completion Certificates
Lifetime Access
Self-paced Courses
Technical Support
Mobile App Access
Case Studies

About TIME SERIES ANALYSIS Course Bundle


Courses You get access to all 14 courses, Projects bundle. You do not need to purchase each course separately.
Hours 68+ Video Hours
Core Coverage Learn about forecasting data models using sophisticated tools
Course Validity Lifetime Access
Eligibility Anyone serious about learning Time Series Analysis
Pre-Requisites Basic knowledge about programming languages such as R, Python, and tools such as Minitab and SPSS
What do you get? Certificate of Completion for each of the 14 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 Course Bundle Curriculum


  • MODULE 1: Statistics Essentials Training

    Courses No. of Hours Certificates Details
    Statistical Tools in Microsoft Excel1h 11m✔
    Mathematical and Statistics Foundations for Machine Learning8h 24m✔
    Statistics Essentials with Python3h 23m✔
    Statistics Essentials for Analytics - Beginners2h 5m✔
  • MODULE 2: Forecasting using Time Series

    Courses No. of Hours Certificates Details
    Sales Forecasting using Time Series Analysis in Python2h 13m✔
    Univariate Time Series Analytics & Modeling with EViews2h 23m✔
    Time Series Analysis and Forecasting using R4h 23m✔
  • MODULE 3: Predictive Modeling

    Courses No. of Hours Certificates Details
    Predictive Analytics & Modeling using SPSS13h 17m✔
    Predictive Analytics & Modeling using Minitab15h 35m✔
    Predictive Analytics & Modeling with SAS9h 19m✔
    Project on R - Card Purchase Prediction2h 28m✔
  • MODULE 4: Case studies and Practical

    Courses No. of Hours Certificates Details
    Time Series Analysis and Forecasting with MS Excel3h 5m✔
    Time Series Analysis and Forecasting Modeling with MS Excel2h 01m✔
    Sales Forecasting using Time Series Analysis in Python2h 13m✔

 

  • Goals
  • Objectives
  • Course Highlights
  • Project Highlights

 

Goals

The central idea behind providing this training program on time series is to make people profession with the use of prediction and forecasting techniques that are one of the most demanded skills of the industries. With the help of this training program what would be able to understand the core concepts and different technologies that are required for understanding the time series analysis that is used commonly used for forecasting and prediction of unforeseen events and analysis. The training also helps in bridging the gap between the industry demand and the skills that people hold.

Objectives

the training program of time series analysis is a bundle of many different tools and technologies that are going to be covered and taught at this training program. The curriculum is developed by keeping in mind different requirements of the industries as well as the individuals who are looking forward to learning something new and demanding too in nature. survival skills that individuals will learn in this training program are statistical tools, Microsoft Excel, machine learning, python, data analysis, forecasting tools and techniques, basics of the R language, and many other skills that are very much demanded in nature. With the knowledge of these skills when would be able to secure a job in the industry as a data analyst, business analyst, predictive analyst, machine learning analyst, consultant, and a pool of other opportunities that are open for the individual once they will complete this training program successfully.

Course Highlights

Many skills are going to be covered under this training program. Some of the core skills that one will learn through this program are as follows:

Under the module of statistical tools in Microsoft Excel when will learn about introduction to the statistical tools in Microsoft Excel, references, descriptive statistics, Central tendencies, mean, mode, and median the discovered of the three different parts.

Descriptive statistics that cover dispersion and standard deviation, data analysis tools, data analysis with the use of Central tendencies, correlation and regression, histograms in bar charts using data analysis, moving averages using data analysis, etc.

Under the module of machine learning which emphasis on statistical essentials one will learn about introduction to machine learning with the use of python, introduction to analytics with the use of machine learning, big data in machine learning, imaging trends in machine learning, data mining, supervisor unsupervised learning, basics of statistical sampling, sampling methods machine learning, technical terminology, the error of observation and nonobservation, systematic sampling, cluster sampling, different types of data, qualitative data and visualization, basics of statistics probability, relative frequency probability, joint probability, conditional probability, the concept of independence, basics of statistics random variables, probability distribution, cumulative probability distribution, basics of statistics distribution, geometric distribution, normal distribution, Matrix algebra, transpose of a matrix, properties of the matrix, mathematical expressions and computation, hypothesis testing, types of errors, critical value approach, p-value approach, confidence interval, types of hypothesis testing, normal and no normal distribution, normality test, t-test, a test of independence, regression, covariance, etc.

Under the module of statistics for data science using python, a participant would learn about introduction to data science, calculator mode, calculating dispersion means, basic techniques, testing methods, differences in NumPy packages, exclusive events, statistics for data science, analysis of test statistics, the output of the variables, best fit to the, etc.

Under this module of forecasting, a participant would learn about different forecasting tools and techniques that are used with the use of our language, predictive analysis, predictive analysis using SPSS, etc.

Project Highlights

There are many projects involved in this training program that helps to ensure the quality and effectiveness of the learning and skills that a transfer to the participants. Some of the core models later part of this training are as follows:

A project on Eviews that uses univariate time series modeling is a great opportunity for individuals to learn about univariate modeling. Under this one will learn about univariate time series modeling, Correloghlram analysis, estimation of output analysis and interpretation, interpretation of the ARMA model, etc.

A project on forecasting using R language which includes introduction to the business analytics forecasting, introduction to the forecasting, methods of forecasting, steps of forecasting, problems with forecasting, simple forecasting methods, transformation and adjustments, regression and multiple linear regression, time series decomposition, developing different models, etc.

A project on predictive modeling the use of SPSS tool that helps in understanding the introduction to the basics of SPSS tool, generation of output, data loading, etc.

A project on predictive modeling using Minitab that involves the use of reference files, introduction to the project, applications of predictive modeling, etc.

Time Series Course – Certificate of Completion

Time Series Course Certification

What is a Time Series?

It can be defined as a series or sequence of data that are indexed in terms of time order or in time intervals which are also known as a discrete sequence of time data that are arranged in equally spaced periods in time. This is a method of analyzing data to extract useful data and its characteristics for predicting future values that are dependent on previous values and choose such a model that helps for better decision making. This method is useful for data that are serially correlated which can be used in business like stock market analysis, website traffic, census analysis, etc.

This is one of the very important methods in a machine learning area and its main objective is to develop a statistical model that provides useful and predictable descriptions from the time series dataset. There are different time series models such as the autoregressive model, integrated model, and moving models, where these three models can be combined to form other models also.

What skills will you learn in this Course?

  • In this course, you will learn about new technologies like data science, machine learning, R programming, Python, etc.
  • In this Time Series Analysis Training, you will statistical concepts such as statistical tools used in Microsoft Excel, statistical essential for data analysis, statistics are also used for machine learning and data prediction, and plotting the details through the graph.
  • This course includes the complete fundamental basics to advanced concepts of statistics and its application in other technical subjects that are use full in analyzing and predicting the data.
  • In this course, you will learn machine learning algorithms and related concepts that are required for data analyzing and arranging accordingly or with certain intervals to predict the useful solutions.
  • In this course, you will also learn a few concepts of Python such as pandas, NumPy, etc that are used in building predictive models.

Pre-requisites

  • This Time Series Analysis Course does not require any prior knowledge of any programming languages. As in this course, we will cover the concepts from the beginning for statistical tools in Microsoft excel.
  • There is a basic understanding of concepts such as quantitative methods; MS Office and paint are needed to know in detail.
  • This course requires some basic knowledge on R programming or if not programming at least one should know what R tool is and why and where it is used.
  • There is no need for any deep knowledge of machine learning is required for this course, a simple understanding of machine learning concepts.
  • There is a need for the basics of Python programming to understand the Python packages or libraries used in analyzing.

Target Audience

  • Students or graduates from MBA, BBA stream from HR, marketing, sales and operations, etc can take up this course.
  • Working professional from the HR or finance department can also go for this course to upgrade his/ her knowledge.
  • Even people who have worked in the area of math or stats can also take up this course where it will be easy for them to understand and can implement quickly.
  • Even professionals like financial analysts, market analysts, research analysts, etc can also take up this course to learn the latest technologies and techniques available for analyzing and predicting data.

FAQ’s


Do we need to have any prior knowledge for Excel- statistical tools to understand the Microsoft Excel section?

Yes, it is better if we know the basics of concepts such as basic computer knowledge, MS Excel. It is very simple and can learn quickly.

When can I get access to lectures and assignments for this Time Series Analysis Training?

Immediately after registering to this course and after the payments are done you will get the access if not also within 48 hours after registering you will be given access to the portal.

When can I get the course certificate?

As there are different online bundles of training on the portal each training is provided with a different and separate certificate is provided but the certificates are issued only when you complete 70 % of each online training.

Sample Preview


Career Benefits

  • This Time Series Analysis Course can help students or graduates or professionals aim to provide econometric or quantitative or predictive modeling skills which can help them to join the finance sector easily.
  • The job roles who can go for later are: as a financial analyst, market managers, data analysts or scientists, data engineers, etc.
  • Anyone interested in the Time Series Analysis Course can use the acquired knowledge to identify, predict, aiding to forecast future values, etc

Reviews


 

Time Series Course review1

Testimonials

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

Linked

SEYNI SOLEY BOUBACAR

 

 

Time Series Course review2

Testimonials

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.

Linked

Lee Tze Hui

 

 

Time Series Course review3

Testimonials

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.

Linked

SAHIL JAIN

 

Footer
Follow us!
  • EDUCBA FacebookEDUCBA TwitterEDUCBA LinkedINEDUCBA Instagram
  • EDUCBA YoutubeEDUCBA CourseraEDUCBA Udemy
APPS
EDUCBA Android AppEDUCBA iOS App
Company
  • About us
  • Alumni Speak
  • Contact Us
  • Sign In
Work with us
  • Careers
  • Become an Instructor
  • Post as Guest
EDUCBA for Enterprise
  • Enterprise Solutions
  • Explore Programs
  • Free Courses
  • Free Tutorials
  • EDUCBA at Coursera
  • EDUCBA at Udemy
Resources
  • Blog
  • Self-Paced Training
  • ExamTurf
  • Verifiable Certificate
  • Popular Skills Catalogue
  • Exam Prep Catalogue
Popular Categories
  • Lifetime Membership
  • All in One Bundles
  • Fresh Entries
  • Finance
  • Data Science
  • Programming and Dev
  • Excel
  • Marketing
  • HR
  • PDP
  • VFX and Design
  • Project Management
  • Exam Prep
  • Learning Paths @ $19
  • Learning Paths @ $49
  • All Courses
  • Terms & Conditions
  • Disclaimer
  • Privacy Policy & Cookie Policy
  • Shipping Policy

ISO 10004:2018 & ISO 9001:2015 Certified

© 2023 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

Course Curriculum

    Extended Cyber Monday Price Drop!

    Offer Ends in

    *Offer is valid only for next 20 min
    Get Additional 20% OFF on
    Enroll Now

    EDUCBA

    *Please provide your correct email id. Login details for this Free course will be emailed to you
    EDUCBA

    *Please provide your correct email id. Login details for this Free course will be emailed to you
    EDUCBA Login

    Forgot Password?

    By signing up, you agree to our Terms of Use and Privacy Policy.

    CoursesNo. of Hours
    Statistical Tools in Microsoft Excel1h 11m
    Mathematical and Statistics Foundations for Machine Learning8h 24m
    Statistics Essentials with Python3h 23m
    Statistics Essentials for Analytics - Beginners2h 5m
    Sales Forecasting using Time Series Analysis in Python2h 13m
    Univariate Time Series Analytics & Modeling with EViews2h 23m
    Time Series Analysis and Forecasting using R4h 23m
    Predictive Analytics & Modeling using SPSS13h 17m
    Predictive Analytics & Modeling using Minitab15h 35m
    Predictive Analytics & Modeling with SAS9h 19m
    Project on R - Card Purchase Prediction2h 28m
    Time Series Analysis and Forecasting with MS Excel3h 5m
    Time Series Analysis and Forecasting Modeling with MS Excel2h 01m

    This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

    🚀 Extended Cyber Monday Price Drop! All in One Universal Bundle (3700+ Courses) @ 🎁 90% OFF - Ends in ENROLL NOW