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Mohamed Echout

Dive into predictive analytics with SQL Server. This course will teach you to construct models, apply regression, and utilize smoothing techniques for insightful time series analysis.

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Dive into predictive analytics with SQL Server. This course will teach you to construct models, apply regression, and utilize smoothing techniques for insightful time series analysis.

Navigating the complexities of time series data for predictive analytics in SQL Server presents a unique challenge. In this course, Predictive Analytics with SQL Server Time Series Data, you'll gain the ability to construct predictive models that transform data into actionable insights. First, you'll explore how to implement linear regression in SQL Server for predictive analysis. Next, you'll discover the power of moving averages and exponential smoothing techniques for forecasting. Finally, you'll learn how to validate your predictive models, ensuring their reliability and accuracy. When you're finished with this course, you'll have the skills and knowledge of SQL server predictive analytics techniques needed to apply predictive models to real-world business challenges using SQL Server.

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What's inside

Syllabus

Course Overview
Building Predictive Models with SQL Server
Advanced Forecasting Techniques in SQL Server

Good to know

Know what's good
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Develops predictive analytics skills using SQL Server, which is widely used in industry
Involves hands-on exercises and interactive materials, enhancing practical learning
Taught by Mohamed Echout, an expert in SQL Server and data analytics
Focuses on essential predictive analytics techniques for time series data, catering to specific industry needs
May require prior experience in SQL Server or data analysis

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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 Predictive Analytics with SQL Server Time Series Data with these activities:
Review the foundations of SQL
Prepare for this course by refreshing your foundational knowledge of SQL. This will help you understand more advanced concepts such as predictive analytics and time series analysis more efficiently.
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  • Review essential SQL concepts such as data types, tables, indexes, and queries.
  • Practice writing simple SQL queries to retrieve and manipulate data.
  • Explore basic data structures and algorithms used in SQL, such as hash tables and sorting algorithms.
Solve practice problems on regression and forecasting techniques
Strengthen your understanding of regression and forecasting techniques by solving practice problems. This will improve your ability to apply these techniques to real-world data.
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  • Find practice problems on regression and forecasting.
  • Solve the problems using the techniques learned in this course.
  • Compare your solutions with provided answers and identify areas for improvement.
Practice Linear Regression Calculations
Reinforce your understanding of linear regression by solving practice problems.
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  • Solve 10 practice problems on linear regression.
  • Review your answers and identify areas where you need improvement.
  • Seek assistance from a tutor or online resources if needed.
Two other activities
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Forecast Time Series Data with Moving Averages
Develop proficiency in time series forecasting techniques by practicing with moving averages.
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  • Implement moving average algorithms in SQL Server.
  • Analyze time series data and identify appropriate window sizes for moving averages.
  • Evaluate the accuracy of your forecasts using appropriate metrics.
Develop a Predictive Analytics Dashboard
Enhance your practical skills by creating an interactive dashboard to visualize and analyze predictive analytics results.
Browse courses on Predictive Analytics
Show steps
  • Gather relevant data and prepare it for analysis.
  • Select appropriate visualization techniques to represent the data effectively.
  • Build an interactive user interface to allow users to explore and interact with the dashboard.

Career center

Learners who complete Predictive Analytics with SQL Server Time Series Data will develop knowledge and skills that may be useful to these careers:
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical methods to analyze data and make investment decisions. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, because it will help you develop the skills needed to construct predictive models that can be used to forecast financial trends. This course will also introduce you to the fundamentals of time series analysis.
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, because it will help you develop the skills needed to construct predictive models that can be used to forecast financial trends. This course will also provide you with an introduction to time series analysis.
Statistician
A Statistician collects, analyzes, interprets, and presents data. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, as you will gain a solid foundation in predictive analytics with SQL Server. This course will help you develop the skills needed to construct models, apply regression, and utilize smoothing techniques for insightful time series analysis.
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models and systems. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, as it will introduce you to the fundamentals of predictive analytics with SQL Server. This course will help you understand how to implement linear regression, utilize moving averages, and apply exponential smoothing techniques for forecasting.
Operations Research Analyst
An Operations Research Analyst uses advanced analytical techniques to solve complex business problems. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, as it will provide you with a foundation in predictive analytics with SQL Server. This course will help you develop the skills needed to construct models, apply regression, and utilize smoothing techniques for insightful time series analysis.
Actuary
An Actuary uses mathematical and statistical methods to assess risk and uncertainty. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, as it will provide you with a foundation in predictive analytics with SQL Server. This course will help you develop the skills needed to construct models, apply regression, and utilize smoothing techniques for insightful time series analysis.
Risk Analyst
A Risk Analyst identifies and evaluates risks that may affect a business. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, as it will provide you with a foundation in predictive analytics with SQL Server. This course will help you develop the skills needed to construct models, apply regression, and utilize smoothing techniques for insightful time series analysis.
Data Architect
A Data Architect designs and builds data systems. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, because it will help you gain a foundational understanding of data analysis and modeling with time series data in SQL Server. This course will equip you with the skills to construct models, apply regression, and utilize smoothing techniques to perform insightful time series analysis.
Data Analyst
A Data Analyst uses advanced techniques to perform data analysis and modeling. They help a business understand the processes, risks, and opportunities that are embedded in their data. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, as you will gain a foundational understanding of data analysis and modeling with time series data in SQL Server. This course will equip you with the skills to construct models, apply regression, and utilize smoothing techniques to perform insightful time series analysis.
Database Administrator
A Database Administrator manages and maintains databases. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, as it will provide you with a foundation in predictive analytics with SQL Server. This course will help you develop the skills needed to construct models, apply regression, and utilize smoothing techniques for insightful time series analysis.
Data Scientist
A Data Scientist uses scientific methods, processes, and algorithms to extract knowledge and insights from data. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, because you will learn how to construct predictive models that transform data into actionable insights. This course will help you build a foundation in predictive analytics techniques using SQL Server.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, as it will provide you with a foundation in predictive analytics with SQL Server. This course will help you develop the skills needed to construct models, apply regression, and utilize smoothing techniques for insightful time series analysis.
IT Consultant
An IT Consultant provides consulting services to businesses on how to use technology to improve their operations. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, as it will provide you with a foundation in predictive analytics with SQL Server. This course will help you develop the skills needed to construct models, apply regression, and utilize smoothing techniques for insightful time series analysis.
Business Analyst
A Business Analyst identifies and analyzes business needs and develops solutions that leverage technology. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, as you will learn how to construct predictive models that can be used to improve business decision-making. This course will help you gain the skills needed to analyze time series data and identify trends and patterns.
Market Research Analyst
A Market Research Analyst conducts research to identify and understand consumer needs and preferences. Predictive Analytics with SQL Server Time Series Data may be useful to you if you are interested in this role, as it will help you gain the skills needed to analyze time series data and identify trends and patterns. This course will also provide you with an introduction to predictive modeling.

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 Predictive Analytics with SQL Server Time Series Data.
Provides a comprehensive overview of forecasting methods, with a focus on practical applications. It covers a wide range of topics, including time series decomposition, model selection, and evaluation.
Provides a comprehensive introduction to time series analysis by state space methods, including a chapter on using SQL Server for time series data.
Provides a comprehensive introduction to time series econometrics, including a chapter on using SQL Server for time series data.
Provides a comprehensive introduction to time series analysis and forecasting, with a focus on theory and applications.
Provides a comprehensive introduction to statistical methods for forecasting, including a chapter on using SQL Server for time series data.
Provides a comprehensive introduction to forecasting with time series models, including a chapter on using SQL Server for time series data.
Provides a practical introduction to time series analysis for business forecasting, including a chapter on using SQL Server for time series data.

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