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Tricia Bagley
By the end of this project, you will understand the principles of time-series forecasting used to predict web traffic volume to provide practical business intelligence that can inform operations, resource allocation, and identify opportunities. You will also...
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By the end of this project, you will understand the principles of time-series forecasting used to predict web traffic volume to provide practical business intelligence that can inform operations, resource allocation, and identify opportunities. You will also be able to conduct a web traffic forecast in Google Sheets. To do this, you will work in the free-to-use software Google Sheets while exploring trend forecasting and its applications. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Strong fit for learners in web traffic forecasting
Teaches skills highly relevant in industry
Develops skills core for operations and resource allocation
Hands-on with Google Sheets for web traffic forecasting
Taught by an instructor working in the related field

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Reviews summary

Data analysis for web forecasting

This course offers clear explanations of trend forecasting principles with hands-on Google Sheets practice. However, it's noted to be short with limited real-world examples, geared toward North American learners.
Course offers hands-on Google Sheets practice in trend forecasting.
Course provides clear explanations of trend forecasting principles.
"Helpfull thanks"
Course is geared toward North American learners.
Course has limited real-world examples.
Course duration is too short for significant knowledge gain.
"Too short to have any significant gain in knowledge"

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 Predict Web Traffic with Trend Forecasting in Google Sheets with these activities:
Review the basics of time-series analysis
This activity will help refresh your knowledge of the basics of time-series analysis, which will be essential for understanding the concepts covered in the course.
Browse courses on Time-Series Forecasting
Show steps
  • Read a book or article on time-series analysis.
  • Take an online course on time-series analysis.
  • Review your notes from a previous course on time-series analysis.
Attend a meetup on time-series forecasting
This activity will allow you to connect with other professionals in the field and learn about the latest trends in time-series forecasting.
Browse courses on Time-Series Forecasting
Show steps
  • Find a meetup on time-series forecasting.
  • Attend the meetup.
  • Network with other participants.
Follow a tutorial on time-series forecasting in Google Sheets
This activity will provide you with a step-by-step guide to time-series forecasting in Google Sheets.
Browse courses on Time-Series Forecasting
Show steps
  • Find a tutorial on time-series forecasting in Google Sheets.
  • Follow the steps in the tutorial.
  • Experiment with the different options available in Google Sheets for time-series forecasting.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice time series forecasting in Google Sheets
This activity will help you develop hands-on experience with the concepts and techniques covered in the course.
Browse courses on Time-Series Forecasting
Show steps
  • Create a Google Sheets spreadsheet.
  • Import your web traffic data into the spreadsheet.
  • Apply time-series forecasting techniques to your data.
  • Interpret the results of your forecast.
Create a presentation on time-series forecasting
This activity will help you synthesize your knowledge of time-series forecasting and communicate it to others.
Browse courses on Time-Series Forecasting
Show steps
  • Choose a topic for your presentation.
  • Research your topic.
  • Create your presentation.
Read Forecasting: Principles and Practice
This book provides a comprehensive overview of time-series forecasting methods and techniques, which will help you deepen your understanding of the concepts covered in the course.
Show steps
  • Read the first few chapters of the book.
  • Work through the examples and exercises in the book.
  • Apply the concepts you learn to your own forecasting projects.
Write a blog post about time-series forecasting
This activity will help you synthesize your knowledge of time-series forecasting and communicate it to others.
Browse courses on Time-Series Forecasting
Show steps
  • Choose a topic for your blog post.
  • Research your topic.
  • Write your blog post.
Forecast the web traffic for your website
This project will allow you to apply the concepts and techniques you learn in the course to a real-world problem.
Browse courses on Time-Series Forecasting
Show steps
  • Gather your web traffic data.
  • Clean and prepare your data.
  • Build a time-series forecasting model.
  • Evaluate your model.

Career center

Learners who complete Predict Web Traffic with Trend Forecasting in Google Sheets will develop knowledge and skills that may be useful to these careers:
Business Analyst
Business analysts are responsible for analyzing business data and providing insights to help businesses make informed decisions. This course in Predict Web Traffic with Trend Forecasting in Google Sheets will provide you with the skills you need to analyze web traffic data and forecast future trends. This is a critical skill for business analysts, as it allows them to provide valuable insights to businesses about their online presence and marketing efforts. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of business data.
Data Analyst
Data analysts are responsible for interpreting, analyzing, and presenting data to help businesses make informed decisions. This course in Predict Web Traffic with Trend Forecasting in Google Sheets will provide you with the skills you need to analyze web traffic data and forecast future trends. This is a critical skill for data analysts, as it allows them to provide valuable insights to businesses about their online presence and marketing efforts. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of business data.
Marketing Analyst
Marketing analysts are responsible for analyzing and interpreting marketing data to help businesses understand their customers and develop effective marketing strategies. This course in Predict Web Traffic with Trend Forecasting in Google Sheets will provide you with the skills you need to analyze web traffic data and forecast future trends. This is a critical skill for marketing analysts, as it allows them to provide valuable insights to businesses about their online presence and marketing efforts. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of marketing data.
Product Manager
Product managers are responsible for developing and managing products. This course in Predict Web Traffic with Trend Forecasting in Google Sheets will provide you with the skills you need to analyze web traffic data and forecast future trends. This is a critical skill for product managers, as it allows them to understand the needs of their customers and develop products that meet those needs. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of product-related data.
E-commerce Manager
E-commerce managers are responsible for managing an online store. This course in Predict Web Traffic with Trend Forecasting in Google Sheets will provide you with the skills you need to analyze web traffic data and forecast future trends. This is a critical skill for e-commerce managers, as it allows them to understand the effectiveness of their marketing campaigns and make adjustments as needed. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of e-commerce-related data.
Social Media Manager
Social media managers are responsible for managing a company's social media presence. This course in Predict Web Traffic with Trend Forecasting in Google Sheets will provide you with the skills you need to analyze web traffic data and forecast future trends. This is a critical skill for social media managers, as it allows them to understand the effectiveness of their social media campaigns and make adjustments as needed. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of social media-related data.
Digital Marketing Manager
Digital marketing managers are responsible for planning and executing digital marketing campaigns. This course in Predict Web Traffic with Trend Forecasting in Google Sheets will provide you with the skills you need to analyze web traffic data and forecast future trends. This is a critical skill for digital marketing managers, as it allows them to understand the effectiveness of their campaigns and make adjustments as needed. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of digital marketing-related data.
Web Analytics Manager
Web analytics managers are responsible for analyzing web traffic data and providing insights to help businesses improve their website performance. This course in Predict Web Traffic with Trend Forecasting in Google Sheets will provide you with the skills you need to analyze web traffic data and forecast future trends. This is a critical skill for web analytics managers, as it allows them to identify opportunities to improve website performance and drive more traffic to the website. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of web traffic-related data.
Search Engine Optimization (SEO) Specialist
SEO specialists are responsible for optimizing websites to improve their ranking in search engine results pages (SERPs). This course in Predict Web Traffic with Trend Forecasting in Google Sheets will provide you with the skills you need to analyze web traffic data and forecast future trends. This is a critical skill for SEO specialists, as it allows them to understand how changes to a website's content and structure will affect its ranking in SERPs. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of SEO-related data.
Operations Manager
Operations managers are responsible for managing the day-to-day operations of a business. This course in Predict Web Traffic with Trend Forecasting in Google Sheets will provide you with the skills you need to analyze web traffic data and forecast future trends. This is a critical skill for operations managers, as it allows them to understand the effectiveness of their operations and make adjustments as needed. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of operations-related data.
Quantitative Analyst
Quantitative analysts are responsible for using mathematical and statistical models to analyze financial data. This course in Predict Web Traffic with Trend Forecasting in Google Sheets may provide you with the skills you need to analyze web traffic data and forecast future trends. This is a valuable skill for quantitative analysts, as it allows them to understand the effectiveness of their financial models and make adjustments as needed. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of financial data.
Data Engineer
Data engineers are responsible for designing and building data pipelines. This course in Predict Web Traffic with Trend Forecasting in Google Sheets may provide you with the skills you need to analyze web traffic data and forecast future trends. This is a valuable skill for data engineers, as it allows them to understand the effectiveness of their data pipelines and make adjustments as needed. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of data-related data.
Project Manager
Project managers are responsible for planning and executing projects. This course in Predict Web Traffic with Trend Forecasting in Google Sheets may provide you with the skills you need to analyze web traffic data and forecast future trends. This is a valuable skill for project managers, as it allows them to understand the effectiveness of their projects and make adjustments as needed. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of project-related data.
Machine Learning Engineer
Machine learning engineers are responsible for building and deploying machine learning models. This course in Predict Web Traffic with Trend Forecasting in Google Sheets may provide you with the skills you need to analyze web traffic data and forecast future trends. This is a valuable skill for machine learning engineers, as it allows them to understand the effectiveness of their machine learning models and make adjustments as needed. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of data-related data.
Data Scientist
Data scientists are responsible for using data to solve business problems. This course in Predict Web Traffic with Trend Forecasting in Google Sheets may provide you with the skills you need to analyze web traffic data and forecast future trends. This is a valuable skill for data scientists, as it allows them to understand the effectiveness of their data-driven solutions and make adjustments as needed. The course also introduces you to the principles of time-series forecasting, which can be used to forecast a wide variety of data-related data.

Reading list

We've selected nine 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 Predict Web Traffic with Trend Forecasting in Google Sheets.
Provides a comprehensive guide to using Google Sheets for data analysis. It covers various topics, including data cleaning, data visualization, and statistical analysis. The book also includes case studies and exercises to help readers apply these methods to real-world problems.
Provides a comprehensive guide to using Google Sheets for data analysis. It covers various topics, including data cleaning, data visualization, and statistical analysis. The book also includes case studies and exercises to help readers apply these methods to real-world problems.
Provides a comprehensive overview of web analytics. It covers various topics, including website traffic measurement, data analysis, and conversion optimization. The book also includes case studies and exercises to help readers apply these methods to real-world problems.
Provides a comprehensive overview of digital marketing analytics. It covers various topics, including website traffic measurement, data analysis, and conversion optimization. The book also includes case studies and exercises to help readers apply these methods to real-world problems.
Provides a comprehensive overview of predictive analytics. It covers various topics, including data mining, machine learning, and statistical modeling. The book also includes case studies and exercises to help readers apply these methods to real-world problems.
Provides a comprehensive overview of machine learning. It covers various topics, including data mining, machine learning algorithms, and statistical modeling. The book also includes case studies and exercises to help readers apply these methods to real-world problems.
Provides a comprehensive overview of artificial intelligence. It covers various topics, including machine learning, natural language processing, and computer vision. The book also includes case studies and exercises to help readers apply these methods to real-world problems.
Provides a comprehensive overview of Python for data analysis. It covers various topics, including data import, data cleaning, and data analysis. The book also includes case studies and exercises to help readers apply these methods to real-world problems.
Provides a comprehensive overview of Excel. It covers various topics, including data entry, data analysis, and data visualization. The book also includes case studies and exercises to help readers apply these methods to real-world problems.

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