Time series analysis: using EViews
Offered by
Benaadir Research, Consultancy & Evaluation Center (BRCE)
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LevelBeginner
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Total Enrolled106
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Duration4 hours
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Last Updated19/03/2025
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CertificateCertificate of completion
Course Description:
Time Series Analysis is a crucial skill in data science, statistics, and business analytics. This course provides a comprehensive understanding of time-dependent data, covering essential techniques for analyzing patterns, trends, seasonality, and forecasting future values. Using statistical methods, Python, and Excel, you’ll learn to build predictive models that are widely used in economics, finance, supply chain, and various industries.
Why Should You Take This Course?
- Learn practical skills to analyze and forecast time-dependent data.
- Enhance your data analytics capabilities for business decision-making.
- Gain hands-on experience with real-world datasets.
- Improve your proficiency in Python, Excel, and statistical tools.
- Stay ahead in industries that rely on forecasting, such as finance, economics, and operations management.
Who Is This Course For?
- Data Analysts and Data Scientists
- Business and Financial Analysts
- Researchers and Economists
- Professionals in Supply Chain and Operations
- Students and Academics in Statistics and Machine Learning
What You’ll Learn:
- Fundamentals of Time Series Data
- Identifying Trends, Seasonality, and Cyclic Patterns
- Moving Averages and Smoothing Techniques
- Autoregressive (AR), Moving Average (MA), and ARIMA Models
- Exponential Smoothing and Holt-Winters Methods
- Time Series Forecasting using Python and Excel
- Model Evaluation and Error Metrics
- Practical Applications in Business and Finance
Are There Any Course Requirements or Prerequisites?
- Basic knowledge of statistics and data analysis.
- Familiarity with Excel functions and formulas.
- Basic understanding of Python (optional but beneficial).
What You Earn After Completion of This Course:
- A Certificate of Completion from Laambad e-Learning Platform.
- Practical skills in Time Series Analysis and Forecasting.
- The ability to apply forecasting techniques in real-world scenarios.
- A competitive edge in data analytics and business intelligence careers.
Course Curriculum
Section 0. Pre-Course | Resource
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00:49
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Course Resource | Notes, PPTs, Datasets, Syllabus
Section 1. course introduction
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Lesson 1. Types of data
12:14 -
Lesson 2. concepts of time series
03:24 -
Lesson 3. stationary Serial correlation/ auto correlation
07:29 -
Lesson 4. Time series components
04:47 -
Lesson 5. Time series models ARIMA model & exponential model
12:03
Section 2. secondary data sources
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Lesson 1. Getting Data from World Bank
10:24 -
Lesson 2. Getting Data from Secric
12:24
Section 3. EViews Environment setup
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Lesson 1. Downloading and installing EViews
06:29 -
Lesson 2. Data cleaning in excel EViews data entry Importing & or manual
23:08
Section 4. Data analyzing and reporting
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Lesson 1. Methodology
31:25 -
Lesson 2. Analyzing data and model diagnosis
44:55 -
Lesson 3. Reporting Conclusion and Recommendation
51:42
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BRCE waa xarun ka shaqaysa horu marinta iyo barashada arimaha la xariira xirfadaha Casriga ah oo ku salaysan Technology-ga.