TIME SERIES ANALYSIS
Specialization | 13 Course Series
This Time Series Analysis Training includes 14 course with 68+ hours of video tutorials and One year 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.
Offer ends in:
What you'll get
- 68+ Hours
- 14 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Courses: You get access to all 14 courses, the 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: One year access
- Eligibility: Anyone serious about learning Time Series Analysis
- Pre-Requisites: Basic knowledge of programming languages such as R, and 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
Content
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MODULE 1: Statistics Essentials Training
Courses No. of Hours Certificates Details Statistical Tools in Microsoft Excel 1h 11m ✔ Machine Learning & AI with Python | Mathematics & Statistics 8h 23m ✔ Statistics Essentials with Python 3h 23m ✔ Statistics Essentials for Analytics - Beginners 2h 5m ✔ -
MODULE 2: Forecasting using Time Series
Courses No. of Hours Certificates Details Sales Forecasting using Time Series Analysis in Python 2h 13m ✔ Univariate Time Series Analytics & Modeling with EViews 2h 23m ✔ Time Series Analysis and Forecasting using R 4h 34m ✔ -
MODULE 3: Predictive Modeling
Courses No. of Hours Certificates Details Predictive Analytics & Modeling using SPSS 13h 17m ✔ Predictive Analytics & Modeling using Minitab 15h 32m ✔ Predictive Analytics & Modeling with SAS 9h 19m ✔ Project on R - Card Purchase Prediction 2h 28m ✔ -
MODULE 4: Case studies and Practical
Courses No. of Hours Certificates Details Time Series Analysis and Forecasting with MS Excel 3h 18m ✔ Time Series Analysis and Forecasting Modeling with MS Excel 2h 01m ✔ Sales Forecasting using Time Series Analysis in Python 2h 13m ✔
Description
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.
Sample Certificate
Requirements
- This Time Series Analysis Course does not require any prior knowledge of any programming languages. 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 of R programming or if not programming at least one should know what the 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, operations, etc can take up this course.
- Working professionals 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.
Course Ratings
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Great course for someone like me who's been using Excel everyday but didn't know about data analysis tool available in it. I've always have to open JMP for analysis even just for simple charting and correlation plotting. Now I know I can do that in Excel too. Thanks! 🙂
Michelle Esber
This course is really good. As a business statistics student, I learned many things. I also learned how to draw charts on r console and excel.
Sumeet Deepak Shinde
During the course, we're given every small detail about statistics even with proper examples. I'm thrilled with the session and I've gained much knowledge about this. Looking forward to getting more courses from Educba.
Nikhil Kumar
This course was great to attend and learn about Excel's "Data Analytics" add-in function!
Sumari Hattingh Van Niekerk