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Mohamed Echout

Unlock the future of time series analytics with SQL Server. This course will teach you advanced time series forecasting techniques.

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Unlock the future of time series analytics with SQL Server. This course will teach you advanced time series forecasting techniques.

Accurately predicting market trends and product demand is crucial for maintaining a competitive advantage. However, many companies struggle to leverage their historical data effectively for future planning, leading to mismanagement and missed opportunities. In this course, Advanced Time Series Forecasting with SQL Server, you’ll gain the ability to utilize SQL Server for sophisticated forecasting and data analysis. First, you’ll explore time series data fundamentals, as well as the importance of time series data in forecasting. Next, you’ll discover how to implement ARIMA and SARIMA models in SQL Server for accurate trend and seasonal pattern analysis. Finally, you’ll learn how to evaluate the accuracy of your forecasting models and apply these insights to real-world business scenarios. When you’re finished with this course, you’ll have the skills and knowledge of advanced time series forecasting needed to make data-driven decisions that enhance inventory management, marketing strategies, and overall business performance.

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What's inside

Syllabus

Course Overview
Implementing and Refining Forecasting Models
Evaluating and Deploying Forecasting Models

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores time series analytics using SQL Server, which is standard in the industry
Taught by Mohamed Echout, an expert with a recognized industry presence
Includes hands-on labs and interactive materials
Suitable for learners who want to strengthen an existing foundation for intermediate level learning
May require prerequisites for some learners
Requires learners to come in with some background knowledge

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Advanced Time Series Forecasting with SQL Server with these activities:
Time series data analysis exercises
Practice working with time series data and applying forecasting techniques to improve your understanding of the course material.
Browse courses on Time Series Forecasting
Show steps
  • Create a dataset of time series data.
  • Apply different forecasting techniques to the dataset, such as ARIMA and SARIMA.
  • Evaluate the accuracy of your forecasts.
Time Series Forecasting Workshop
Attend a workshop where you can learn about advanced time series forecasting techniques and apply them to real-world problems.
Browse courses on Time Series Forecasting
Show steps
  • Research different time series forecasting workshops.
  • Choose a workshop that meets your interests and needs.
  • Attend the workshop and actively participate in the activities.
Show all two activities

Career center

Learners who complete Advanced Time Series Forecasting with SQL Server will develop knowledge and skills that may be useful to these careers:
Applied Statistician
Applied statisticians leverage their expertise in statistical methods and data analysis to support decision-making. They often work with large datasets, using advanced techniques like time series forecasting to uncover patterns and make predictions. With the help of the Advanced Time Series Forecasting with SQL Server course, you can enhance your skills in time series analysis and modeling, which can be particularly valuable for applied statisticians seeking to advance their careers in various industries like finance, healthcare, and market research.
Data Analyst
Data analysts play a crucial role in extracting insights from data to support decision-making. They utilize statistical methods, including time series forecasting, to identify trends and patterns in data. By taking the Advanced Time Series Forecasting with SQL Server course, you can strengthen your foundation in time series analysis, enhancing your ability to derive valuable insights and contribute effectively as a data analyst.
Business Analyst
Business analysts use data to understand business needs and drive decision-making. They employ analytical techniques, including time series forecasting, to analyze market trends, customer behavior, and other business-related data. The Advanced Time Series Forecasting with SQL Server course can equip you with specialized skills in time series forecasting, enabling you to excel as a business analyst in various industries.
Financial Analyst
Financial analysts use time series forecasting techniques to analyze financial data, predict market trends, and make investment recommendations. The Advanced Time Series Forecasting with SQL Server course can provide you with a solid foundation in time series analysis and modeling, enhancing your ability to make accurate financial forecasts and contribute effectively as a financial analyst.
Market Researcher
Market researchers utilize time series forecasting to analyze market trends, consumer behavior, and industry dynamics. The Advanced Time Series Forecasting with SQL Server course can enhance your skills in time series analysis, enabling you to derive valuable insights from market data and contribute to effective marketing strategies.
Sales Analyst
Sales analysts use time series forecasting to analyze sales trends, predict demand, and optimize sales strategies. The Advanced Time Series Forecasting with SQL Server course can provide you with specialized skills in time series analysis and modeling, enabling you to make accurate sales forecasts and contribute to increased sales performance.
Product Manager
Product managers rely on time series forecasting to analyze product trends, understand customer demand, and make strategic product decisions. The Advanced Time Series Forecasting with SQL Server course can enhance your skills in time series analysis, providing you with valuable insights to drive product development and roadmap planning.
Statistician
Statisticians utilize time series forecasting to analyze data and make predictions in various fields such as research, healthcare, and finance. The Advanced Time Series Forecasting with SQL Server course can strengthen your foundation in time series analysis and modeling, enabling you to contribute effectively as a statistician.
Data Scientist
Data scientists use time series forecasting techniques as part of their broader data analysis and modeling responsibilities. The Advanced Time Series Forecasting with SQL Server course may be helpful in building a foundation in time series analysis, providing you with additional skills to enhance your data science capabilities.
Software Engineer
Software engineers specializing in data analytics and forecasting may find the Advanced Time Series Forecasting with SQL Server course helpful in enhancing their understanding of time series analysis techniques. This knowledge can complement their software development skills and enable them to build more robust and accurate forecasting applications.
Quantitative Analyst
Quantitative analysts utilize time series forecasting techniques to analyze financial data and make investment decisions. The Advanced Time Series Forecasting with SQL Server course may be helpful in building a foundation in time series analysis, providing you with additional skills to enhance your quantitative analysis capabilities.
Economist
Economists use time series forecasting to analyze economic trends and make predictions. The Advanced Time Series Forecasting with SQL Server course may be helpful in building a foundation in time series analysis, providing you with additional skills to enhance your economic forecasting abilities.
Business Intelligence Analyst
Business intelligence analysts leverage time series forecasting techniques to analyze business data and identify trends. The Advanced Time Series Forecasting with SQL Server course may be helpful in building a foundation in time series analysis, providing you with additional skills to enhance your business intelligence capabilities.
Data Mining Analyst
Data mining analysts use time series forecasting techniques to analyze large datasets and uncover hidden patterns. The Advanced Time Series Forecasting with SQL Server course may be helpful in building a foundation in time series analysis, providing you with additional skills to enhance your data mining capabilities.
Machine Learning Engineer
Machine learning engineers may find the Advanced Time Series Forecasting with SQL Server course helpful in understanding time series analysis techniques, which can be applied in various machine learning models. This knowledge can complement their machine learning skills and enable them to build more robust and accurate models.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Advanced Time Series Forecasting with SQL Server.
Provides a comprehensive overview of time series econometrics techniques. It valuable resource for students and professionals seeking a deeper understanding of the econometric analysis of time series data.
This classic textbook provides a comprehensive overview of time series analysis methods, including ARIMA and SARIMA models. It valuable reference for students and professionals seeking a deeper understanding of time series analysis.
Provides a comprehensive overview of time series analysis techniques using R. It valuable resource for students and professionals seeking to apply these techniques using R.
Provides a comprehensive overview of time series analysis techniques and their applications. It valuable resource for students and professionals seeking a deeper understanding of time series analysis and its applications.
Provides a comprehensive overview of time series analysis theory and methods. It valuable resource for students and professionals seeking a deeper understanding of the theoretical foundations of time series analysis.
This advanced textbook covers state space methods for time series analysis. It valuable reference for researchers and professionals seeking to apply these techniques to complex time series data.
Provides a practical overview of time series analysis techniques for business forecasting. It valuable resource for students and professionals seeking to apply these techniques to business problems.

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