Certificate in Time Series Forecasting at Amity Online is a certification program which can be completed in as little as 16 hours. This certificate is designed with the collaboration of KPMG, who also helps the students in getting paid internships after the successful completion of the certification. Amity Online’s Certificate in Time Series Forecasting is delivered through an online mode, which helps the working professionals as well as the busy learners to manage their time for study, work and other personal commitments.
Amity Online’s Certificate in Time Series Forecasting covers in-demand subjects, which helps the students in learning many skills which are important in the modern business world. The skills which you gain in this certification are fundamentals of time series analysis, statistical methods for forecasting, machine learning for time series, deep learning for time series, python tools and libraries and real-world applications.
So, if you want to gain advanced skills without quitting your job or relocating, then this Certificate in Time Series Forecasting at Amity Online is a perfect certification course.
Course | Per Semester | Total Fees | One Time Fees |
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Time Series Forecasting |
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Skills | Descriptive |
Time Series Data Basics |
You will learn the fundamentals of time series data, trends, seasonality, and noise. This ability assists in framing datasets for proper forecasting. |
Statistical and Forecasting Methods | You will gain hands-on knowledge of techniques such as ARIMA, Exponential Smoothing, and Moving Averages, which are extensively applied for short- and long-term forecasting. |
Python Programming for Forecasting |
The course helps you in learning the effective application of Python libraries like Pandas, NumPy, Statsmodels, and Matplotlib in creating, testing, and assessing forecasting models. |
Data Visualization of Time Series |
You will be taught to develop efficient visualizations that identify trends and seasonal changes. This facilitates easier interpretation of forecasting results for business decision-making. |
Application for Forecasting in Business Context |
You will develop the skill to use time series forecasting in practical applications such as forecasting sales, financial projection, demand forecasting, and inventory control. |
Job Positions | Responsibilities | Average Salary per annum |
Forecasting Analyst |
Forecasting Analysts construct models to forecast future sales trends, demand, or financial performance. They utilize time series data to assist in business resource planning and reducing risks. | ₹6,00,000–₹12,00,000 |
Data Analyst |
Data Analysts cleanse, structure, and evaluate datasets, including time series data. They prepare reports and visualizations to inform decision-making within various business functions. | ₹5,00,000–₹10,00,000 |
Business Analyst |
Business Analysts utilize time series forecasting to determine trends in customer activity, market trends, and operating effectiveness. They close the loop between information analysis and business strategy. | ₹6,00,000–₹12,00,000 |
Demand Planner |
Demand Planners utilize forecast algorithms to forecast product demand. Demand Planners' findings enable organizations to maximize inventory levels, minimize cost, and address customer demands efficiently. | ₹6,00,000–₹12,00,000 |
Junior Data Scientist |
Junior Data Scientists collaborate with statistical models and Python libraries to develop forecasting solutions. They support senior teams on predictive analytics, machine learning initiatives, and business optimization. | ₹7,00,000–₹14,00,000 |