What you'll get
  • 22+ Hours
  • 11 Courses
  • Course Completion Certificates
  • Self-paced Courses
  • Technical Support
  • Case Studies

Synopsis

  • Gain comprehensive knowledge of econometrics, quantitative analysis, and predictive modeling using EViews.
  • Learn to analyze financial and economic data effectively.
  • Develop practical skills in building predictive models for real-world applications.
  • Work on hands-on projects to apply theoretical concepts.
  • Understand financial data analysis and modeling techniques used in banks, investment firms, and financial institutions.
  • Receive verifiable course completion certificates for each module and project.
  • Suitable for learners from finance, commerce, or analytical backgrounds, regardless of technical expertise.
  • Prepare for career growth in financial analytics, data analysis, and predictive modeling.

Content

Courses No. of Hours Certificates Details
EViews:01 - Application to Econometrics Modeling17mView Curriculum
Courses No. of Hours Certificates Details
EViews:02 - Descriptive Statistics1h 4mView Curriculum
EViews:03 - Correlation Techniques2h 35mView Curriculum
EViews:04 - Regression Modeling3h 12mView Curriculum
EViews:05 - Univariate Time Series Modeling2h 23mView Curriculum
EViews:06 - Multivariate Modeling2h 36mView Curriculum
EViews:07 - Autocorrelation Techniques3h 32mView Curriculum
Courses No. of Hours Certificates Details
EViews:08 - VAR Modeling2h 4mView Curriculum
EViews:09 - Stationarity and Unit Root Testing1h 47mView Curriculum
EViews:10 - CoIntegration Testing1h 28mView Curriculum
EViews:11 - Volatility & ARCH Modeling4h 42mView Curriculum

Description

The EViews Econometrics course offers an in-depth exploration of econometrics and quantitative analysis tailored for individuals interested in financial data analysis. 

Participants will learn:

  • Core econometrics concepts and techniques using EViews software.
  • Methods for quantitative and predictive analysis to interpret financial and economic data.
  • Application of data analysis to real-world finance scenarios, including stock market analysis, mutual funds, and financial modeling.
  • Practical usage of MS Excel, VBA, and other tools for effective data handling and analysis.
  • Hands-on projects to apply theoretical concepts, enhance analytical thinking, and gain confidence in real-world data interpretation.
  • Preparation to enter analytics roles in financial institutions, investment firms, or business analysis domains.

The course is entirely self-paced and provides one-year access to all video modules, allowing learners to progress at their own speed. By the end of the course, participants will have the skills to perform robust financial and economic data analysis and present actionable insights.

Sample Certificate

Course Certification

Requirements

  • Basic knowledge of quantitative methods.
  • Background in finance or financial modeling is helpful but not mandatory.
  • Familiarity with MS Office and the Windows operating system.
  • Exposure to at least one programming language.
  • Understanding of basic data analysis processes, such as using VBA tool packs in MS Excel.

Target Audience

  • Finance professionals, managers, and employees of banks or financial institutions.
  • Analysts involved in share market data, mutual funds, or money market-related activities.
  • Students and graduates from commerce, arts, or finance backgrounds (MBA, M.Com, M. Stats).
  • Anyone with an analytical mindset and an interest in financial data analysis and problem-solving.