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Selecting Your Fantasy Premier League Team with Advanced Analytics

Big Data LDN

Big Data LDN 2019 | Selecting Your Fantasy Premier League Team with Advanced Analytics | William Davis

Learn how to utilize the advanced analytics capabilities in Alteryx to select your top Premier League players for your fantasy team. By connecting to the FPL website via API and a database, Alteryx can prep and blend data together and perform predictive analytics to generate your winning fantasy team. William Davis will also show how you can push this data into visualization tools, such as Tableau.

This course is no longer available. Find a similar course by searching these:
fantasy premier league advanced analytics predictive analytics alteryx data blending data preparation

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops fantasy analytics skills using Alteryx, specifically for football (soccer)
Builds a solid foundation for fantasy team selection for Football (soccer)
Takes a creative approach by applying Alteryx to fantasy football (soccer) analytics
Utilizes FPL (fantasy football league) API and a database for data connection and preparation
Provides hands-on experience with Alteryx and Tableau for visualization

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Career center

Learners who complete Selecting Your Fantasy Premier League Team with Advanced Analytics will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst utilizes a combination of programming and statistical skills, coupled with their business acumen to transform raw data into actionable insights. This course will help you build a foundation in data analytics by teaching you how to connect to data sources via APIs and databases. Furthermore, you will learn how to prepare, blend, and analyze data. These skills can provide you with a competitive edge in the job market and are required for most Data Analyst roles.
See salaries and explore the career path for Data Analyst
Data Scientist
Data Scientists combine their deep programming expertise with statistical and analytical skills to deliver insights that help companies make better decisions. This course will help you build a foundation in the programming language R, and teach you how to apply it to data analytics. Additionally, this course will teach you how to connect to data sources via APIs and databases, as well as prepare, blend, and analyze data. Gaining these skills will make you a more competitive candidate for Data Scientist roles.
See salaries and explore the career path for Data Scientist
Business Analyst
A Business Analyst combines their knowledge of the business with statistical and analytical skills to help companies solve problems. This course can teach you how to connect to data sources via APIs and databases, as well as prepare, blend, and analyze data. Furthermore, this course will help you build a foundation in data analytics, which will make you a more competitive Business Analyst candidate.
See salaries and explore the career path for Business Analyst
Financial Analyst
A Financial Analyst uses their strong analytical skills to provide investors with recommendations on stocks and other investments. This course will teach you how to connect to data sources via APIs and databases, and how to prepare, blend, and analyze data. Additionally, this course will help you build a foundation in data analytics, which can help you become a more competitive Financial Analyst.
See salaries and explore the career path for Financial Analyst
Quantitative Analyst
A Quantitative Analyst develops and implements mathematical and statistical models to solve problems in the finance industry. This course will help you build a strong foundation in data analytics and teach you how to connect to data sources via APIs and databases. Furthermore, you will learn how to prepare, blend, and analyze data. These skills are highly sought-after by employers in the finance industry, making you a more competitive candidate for Quantitative Analyst roles.
See salaries and explore the career path for Quantitative Analyst
Actuary
Actuaries analyze the financial implications of risk and uncertainty, helping companies and individuals make informed decisions. This course will teach you how to connect to data sources via APIs and databases, as well as how to prepare, blend, and analyze data. Additionally, you will learn how to build statistical models, all of which are skills highly sought-after by employers in the insurance industry. This will make you a more competitive Actuary candidate.
See salaries and explore the career path for Actuary
Operations Research Analyst
An Operations Research Analyst develops and applies analytical models to solve complex problems in business and industry. This course will teach you how to connect to data sources via APIs and databases, and prepare, blend, and analyze data. Furthermore, this course will help you build a foundation in the programming language R and teach you how to apply it to data analytics. These skills are in high-demand in the field of Operations Research and will help you become a more competitive candidate for these roles.
See salaries and explore the career path for Operations Research Analyst
Market Researcher
A Market Researcher conducts research on target markets to determine the viability of new products and services. This course will teach you how to connect to data sources via APIs and databases, and prepare, blend, and analyze data. These are all skills that are highly sought-after by employers in the market research industry. Moreover, this course will teach you the programming language R, which is commonly used by Market Researchers, making you a more competitive candidate for these roles.
See salaries and explore the career path for Market Researcher
Sports Analyst
A Sports Analyst combines their knowledge of sports and advanced analytics to provide teams and players with insights to help improve performance. This course will teach you how to connect to data sources via APIs and databases, and prepare, blend, and analyze data. Additionally, you will learn how to build predictive models, all of which are essential skills for Sports Analysts. This course is a great way for you to build the skills needed to become a more competitive candidate for Sports Analyst roles.
See salaries and explore the career path for Sports Analyst
Statistician
A Statistician collects, analyzes, interprets, and presents data to help organizations make informed decisions. This course will teach you the statistical and analytical skills required to become a successful Statistician, including how to connect to data sources via APIs and databases, as well as how to prepare, blend, and analyze data. This course can help you become a more competitive candidate for Statistician roles, especially for those that require experience with the programming language R.
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Data Engineer
A Data Engineer builds and maintains the infrastructure that stores and processes data. This course will teach you how to connect to data sources via APIs and databases, as well as prepare, blend, and analyze data using the programming language R. These skills, coupled with a strong understanding of data engineering principles and practices, will make you a more competitive candidate for Data Engineer roles.
See salaries and explore the career path for Data Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. While the focus of this course is on data analytics, you will learn the programming language R, which is popular in the software industry, and you will gain experience connecting to data sources via APIs and databases, as well as preparing and blending data. These skills will make you a more competitive candidate for entry-level Software Engineer roles.
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Product Manager
A Product Manager oversees the development and launch of new products and features for a company. This course will help you gain a foundational understanding of the data analytics lifecycle, including how to connect to data sources via APIs and databases, as well as prepare, blend, and analyze data. As many Product Managers need to work with data analysts and data scientists, this course can help you become a more effective Product Manager by providing you with a better understanding of how data can be used to drive product decisions.
See salaries and explore the career path for Product Manager
Financial Planner
A Financial Planner helps individuals and families manage their finances and plan for the future. This course will help you build a strong foundation in data analytics and teach you how to connect to data sources via APIs and databases. You will also learn how to prepare, blend, and analyze data. These skills will allow you to better understand the financial situation of your clients and provide them with more informed advice.
See salaries and explore the career path for Financial Planner

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Course image
Time
24 hours
Level
Intermediate
Via
Pluralsight
Instructor
Big Data LDN
Language
English
This course belongs to a collection called Big Data LDN 2019 . It's comprised of 101 courses:
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Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Develops fantasy analytics skills using Alteryx, specifically for football (soccer)
Builds a solid foundation for fantasy team selection for Football (soccer)
Takes a creative approach by applying Alteryx to fantasy football (soccer) analytics
Utilizes FPL (fantasy football league) API and a database for data connection and preparation
Provides hands-on experience with Alteryx and Tableau for visualization
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