SAS TIME SERIES ANALYSIS
Learning Path | 9 Course Series
This Time Series Analysis and Forecasting with SAS includes 9 courses with 57+ hours of video tutorials and One year access. You will learn about different concepts and technologies like SAS analytics, use of SPSS for predictive analytics and modeling, SAS statistics, quantitative finance, graphs visualizations etc.The course is a one-stop solution for all the learners who are willing to escalate their careers in the field of business analytics and forecasting as the course covers all the basic requirements for becoming a business analyst and data analyst with the use of SPSS and SAS analytics.
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What you'll get
- 57+ Hours
- 9 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Courses: You get access to all 9 courses, including the 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 SAS in real forecasting and time series analysis.
- Course Validity: One year access
- Eligibility: Anyone serious about learning Time Series Analysis and Forecasting with SAS
- Pre-Requisites: Basic knowledge of SAS
- What do you get? Certificate of Completion for each of the 9 courses, Projects
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These links 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 Quantitative Finance with SAS 3h 29m ✔ SAS Business Analytics for Beginners 10h 45m ✔ SAS Statistics 8h 18m ✔ Logistic Regression using SAS Stat 4h 26m ✔ Poisson Regression with SAS Stat 2h 21m ✔ -
MODULE 2: Projects based Learning
Courses No. of Hours Certificates Details SAS Advanced Analytics 12h 22m ✔ SAS Graph 2h 1m ✔ Predictive Analytics & Modeling with SAS 9h 19m ✔ SAS Categorical Data Analysis 7h 16m ✔
Description
Time series analysis and forecasting are techniques used to predict and forecast the results based on the present and historical data. SAS is a language used for statistical analysis of data and is very easy to understand, too. The training program in time series analytics and forecasting with SAS deals with understanding the core concepts of time series analysis and forecasting and how to do the same using SAS programming and language.
Sample Certificate
Requirements
- The only prerequisite for this training program is time-series analytics forecasting with SAS. One must be passionate about learning new things and have a strong desire to gain a high-demanding skill. The training certification is going to be beneficial for all the individuals who are willing to understand the basics of predictions and modeling and want to pursue their career in the field of data science and statistical modeling as the whole curriculum revolves around statistical modeling and forecasting, which are the core essentials of data science and analytics. For anyone who wants to start a career in business analytics, data analytics, data science, or statistical modeling, this course will be a one-stop solution as it covers all the core skills from beginners to advanced levels.
Target Audience
- The target audience for every program in training comprises all the individuals who are willing to pursue their careers in the field of forecasting and time series analysis. Anyone who wants to learn something new wiz welcome to take up this course as there are no search high standard prerequisites for this training program. The curriculum of this training program is developed by keeping in mind both fresher and experienced professionals who are already working in this field or are planning to develop a career in the field of forecasting in time series analysis. Having some basic knowledge of analytics and forecasting in real life is always a good option. People with some computer knowledge and predictive modeling are also welcome to take this course as they can be easily seen through the course.
Course Ratings
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It is a very useful course. All the subject are well explained and organised. It also covers many Big Data techniques with a full explanation and examples. I highly recommended it for anyone interested in Big Data Analytics. It also contains diverse programming languages like R and SQL and also different software like SAS.
Mayssa Harfouch
Great course. Very knowledgeable and covers a wide variety of topics. I would highly recommend this course to anyone trying to get started with SAS as a business analytics tool. Data validation and cleaning was very interesting. The section on data manipulation and data transformation covered a wide array of topics. One main topic covered was the date types and how they are assigned in SAS, which was a bit difficult to understand at first. Thank you for the opportunity.
Jonathan Johnson
Using SAS for understanding Quantitative finance term like risk- returns, correlation analysis & regression analysis.I would recommend before taking this practical course, one should learn the basics of SAS and basic statistics which will be helpful in understanding the interpretation of the Output generated using SAS. It uses practical examples of stock index & scripts ,economic data,mutual funds NAV results and forex pair returns to understand whether the desired outcome is met based on our hypothesis and what should by our strategies in investing in such funds,stocks,index or forex pairs.
Jayakanth Kasthuri
This is a best option for doing courses as comparable to other institute or coaching centers , if we talk about ROI this again the best option, i gained a lot of knowledge from these courses, now i fully understand and using SAS for business analytic. The courses are really good, soon i'll do many courses only from educba, the best is about educba there is many courses from all subject areas. thankfully i joined eduCBA courses.
Saurabh Sangwan