Time Series Analysis: Forecasting and Trend Analysis

An outline of this training course

The Time Series Analysis: Forecasting and Trend Analysis course offers a comprehensive introduction to understanding, analyzing, and applying time series data for accurate forecasting and identification of trends. Aimed at beginners, this course illuminates the significance of time series data in various real-world scenarios, from stock market predictions to weather forecasting.

As participants progress, they'll acquire a robust understanding of the primary components of time series data: Trend, Seasonality, Cyclic, and Irregular. Practical sessions will equip learners with skills to design effective forecasting models, recognize and address challenges specific to time series data, and utilize advanced forecasting techniques, including neural networks.

The course emphasizes best practices, ensuring students can optimize accuracy, efficiency, and applicability in their forecasting projects.

By the culmination of this training, attendees will be grounded in the foundations of time series analysis, ready to harness its capabilities for data-driven decision-making.

What are needed to take this course 

While a foundational understanding of statistical concepts will be beneficial, it is not mandatory. Familiarity with basic data visualization tools can be advantageous.

Who is the course for

This course caters to analysts, data enthusiasts, and business professionals keen on mastering the intricacies of time series data and its applications in forecasting and trend analysis.

Details of what you will learn during this course

Upon course completion, you will:

• Grasp the core principles and significance of Time Series Analysis.
• Delve into the intricacies of trend, seasonality, cyclic, and irregular patterns in time series data.
• Design, assess, and refine forecasting models for varied applications.
• Address and overcome challenges specific to time series analysis.
• Unlock the potential of advanced forecasting techniques, ensuring precision in predictions.

What you get with the course

• The Time Series Analysis: Forecasting and Trend Analysis course is segmented into eight detailed chapters, each focusing on a vital aspect of time series analysis.
• Content is presented in a clear, text format, ensuring ease of understanding and reference.
• Assess your understanding with 3 quizzes, and challenge yourself with a comprehensive scenario-based test.

Program Level

Beginner

Field(s) of Study

Statistics and Data Analysis

Instruction Delivery Method

QAS Self-study

***This course was published in September 2023

Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org