Certified Specialist Programme in Statistical Analysis in Riot

Thursday, 12 February 2026 18:52:41

International applicants and their qualifications are accepted

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Overview

Overview

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Riot's Certified Specialist Programme in Statistical Analysis equips data analysts with in-demand skills. This programme focuses on advanced statistical techniques and data visualization.


Learn to leverage statistical modeling for game optimization and player behavior analysis. The program uses Riot's real-world data. Statistical analysis is crucial for informed decision-making.


Designed for aspiring data scientists and experienced analysts alike, this Certified Specialist Programme in Statistical Analysis provides practical application and certification. Boost your career.


Explore the programme now and unlock your data analysis potential!

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Statistical Analysis: Elevate your career with Riot's Certified Specialist Programme! This intensive course provides hands-on training in advanced statistical methods, including data mining and predictive modeling. Gain in-demand skills like data visualization and R programming, crucial for roles in data science and analytics. Unlock exciting career prospects in gaming, tech, and beyond. Our unique curriculum blends theoretical knowledge with real-world Riot Games case studies, providing a competitive edge. Become a certified specialist and transform your data analysis abilities.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Statistical Modeling for Game Data Analysis
• Hypothesis Testing and A/B Testing in Game Development
• Data Visualization and Communication for Statistical Insights
• Time Series Analysis for Game Performance Monitoring
• Predictive Modeling and Machine Learning in Riot Games
• Regression Analysis for Game Balancing and Optimization
• Data Mining and Big Data Techniques for Player Behavior Analysis
• Statistical Software Proficiency (R, Python, etc.)
• Experimental Design and Causal Inference in Game Studies
• Advanced Statistical Analysis and Reporting (with focus on *Statistical Analysis*)

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:

1 month (Fast-track mode): 140
2 months (Standard mode): 90

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role Description
Senior Data Analyst (Statistical Analysis) Lead statistical analysis projects, mentor junior analysts, and provide critical insights. High demand for expertise in statistical modeling.
Statistical Programmer (Biostatistics) Develop and maintain statistical software, ensuring data integrity and efficient analysis. Strong programming skills in R or Python are essential.
Quantitative Analyst (Financial Modeling) Develop and implement quantitative models to support financial decision-making. Requires expertise in statistical modeling and financial markets.
Data Scientist (Machine Learning & Statistical Analysis) Utilize statistical analysis and machine learning techniques to extract insights from large datasets. High demand and competitive salaries.

Key facts about Certified Specialist Programme in Statistical Analysis in Riot

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The Riot Certified Specialist Programme in Statistical Analysis provides comprehensive training in advanced statistical techniques crucial for data-driven decision-making. Participants will gain proficiency in various statistical methodologies and tools, ultimately improving their analytical capabilities.


Learning outcomes encompass mastering data manipulation, statistical modeling (including regression analysis and time series analysis), hypothesis testing, and data visualization. The program emphasizes practical application through real-world case studies and projects, ensuring graduates possess the skills to immediately contribute to data science teams.


The duration of the Certified Specialist Programme in Statistical Analysis is typically tailored to the individual's prior experience and learning pace, though it generally spans several months. This flexible approach allows for a personalized learning journey, focusing on the specific needs of each participant. Self-paced modules and instructor-led sessions are often incorporated.


Industry relevance is paramount. This program directly addresses the growing demand for skilled statistical analysts across various sectors, including gaming, technology, finance, and marketing. Graduates are well-prepared for roles requiring sophisticated statistical knowledge and data interpretation, enhancing their career prospects significantly. The program's focus on practical application through projects using popular statistical software like R or Python further strengthens this relevance. Data mining and machine learning principles are also incorporated.


Ultimately, the Riot Certified Specialist Programme in Statistical Analysis empowers participants to become highly sought-after professionals capable of leveraging data to drive impactful business decisions. The certification itself provides a valuable credential, showcasing expertise in this in-demand field.

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Why this course?

The Certified Specialist Programme in Statistical Analysis is increasingly significant in today's UK market, driven by the growing demand for data-driven decision-making across various sectors. According to a recent survey by the Office for National Statistics, the number of data science roles in the UK has increased by 35% in the last three years. This surge highlights the need for professionals with advanced statistical skills, making this certification highly valuable. The programme equips individuals with the expertise to perform complex analyses, interpret results accurately, and contribute effectively to data-driven strategies. Companies across finance, healthcare, and technology actively seek candidates with this specialization, reflecting the current trend of utilizing sophisticated statistical methods for business optimization and strategic advantage. This statistical analysis certification demonstrates a commitment to professional development and a deep understanding of advanced analytical techniques, making certified individuals highly competitive in the job market.

Sector Demand Increase (%)
Finance 40
Healthcare 30
Technology 38

Who should enrol in Certified Specialist Programme in Statistical Analysis in Riot?

Ideal Audience for Riot's Certified Specialist Programme in Statistical Analysis
Are you a data enthusiast seeking to master advanced statistical techniques? This programme in statistical analysis is perfect for UK-based professionals aiming to enhance their analytical skills within the gaming industry or related fields. With over 70% of UK adults now playing video games (source needed), the demand for skilled data analysts is rapidly growing. Individuals with backgrounds in mathematics, computer science, or related disciplines, seeking career progression or a change into the dynamic world of data science within a leading gaming company like Riot, will find this programme invaluable. Expect to develop expertise in data mining, predictive modelling and business intelligence.