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verified Other · In-Person Workshop

Football Data Analytics

A 12-week beginner course teaching football analytics and Python data tools to build a match dashboard capstone project.

star star star star star Classroom Masterclass
Haroon Sidheekhi K T By Haroon Sidheekhi K T
calendar_month60 Hours
location_onRISE TBI, Areekode
languageEnglish
groupMax 10 Participants
workspace_premiumCertificate Included
RISE Training Centre
location_on RISE TBI, Areekode
⚡ 10 Seats Left — Oct-10,2026
Football Data Analytics
event Next batch: Oct-10,2026 · 10 seats left
contact_support Enquire Now
  • check_circleFootball Foundations
  • check_circlePython for Data Handling
  • check_circleApplied Football Data Analytics

Course Overview

This 12-week, beginner-friendly course introduces students to football data analytics through a deliberate progression: from understanding the sport itself, to the vocabulary of modern football analytics, to the fundamentals of data analysis, and finally into hands-on Python programming applied to real football datasets. No prior coding or analytics experience is assumed at the start, and every technical concept is anchored in a football example so it never feels abstract. Across three one-and-a-half-hour sessions per week, students first build football and data-literacy foundations (Weeks 1–4), then learn basic python programming along with data handling (Weeks 5–8), and finally apply these skills to gather, analyse, and visualise real football data — culminating in a capstone project where each student builds their own project. (Weeks 9–12). Each week includes a short practice exercise, and seven checkpoint quizzes are spaced throughout the term to reinforce learning without adding heavy workload.

What You'll Learn

Practical skills, key competencies, and applied frameworks taught throughout this program.

check_circleRead a match report with a deep understanding of football rules, pitch zones, player positions, and team formations.
check_circleDefine and conceptually apply modern, advanced and possession-based football metrics (such as xG, xA, PPDA, progressive passes and many more).
check_circleImport, clean, manipulate, and analyze tabular datasets in python.
check_circleUnderstand the broader football data ecosystem, including how datasets are sourced through web scraping and APIs.
check_circleDesign general data visualisations (bar charts, line plots, scatter plots) as well as football-specific charts (player radar charts, shot maps, and heatmaps).
check_circleBuild and present an end-to-end match dashboard as a capstone project using real-world match datasets.

Prerequisites

Recommended background and tools before joining this program.

  • fiber_manual_recordBeginner — no prior coding or analytics background assumed

Who This Course Is For

Designed specifically for learners looking to master these skills:

verifiedAnyone pursuing Graduation

Curriculum & Syllabus

Structured modules and breakdown of sessions covered in this course.

  • arrow_right_alt Week 1: The Game & Formations
  • arrow_right_alt Week 2: The Language of Football Analytics
  • arrow_right_alt Week 3: Data Analytics Fundamentals
  • arrow_right_alt Week 4: Analytics Tools & Meet Python
  • arrow_right_alt Week 5: Python Fundamentals
  • arrow_right_alt Week 6: Python Fundamentals
  • arrow_right_alt Week 7: NumPy Basics
  • arrow_right_alt Week 8: Pandas Basics
  • arrow_right_alt Week 9: Gathering Football Data
  • arrow_right_alt Week 10: Visualisation I - Matplotlib & Seaborn
  • arrow_right_alt Week 11: Visualisation II - Football-Specific Charts
  • arrow_right_alt Week 12: Capstone Project - Build a Match Dashboard

About the Facilitator

Your workshop is led by experienced domain experts and studio partners.

Haroon Sidheekhi K T
Haroon Sidheekhi K T
Data Analyst | Python | Advanced Excel | Power BI | SQL | Tableau |
star4.9 Average Rating
groupsClassroom Facilitator
workspace_premiumCertified Instructor

Experienced Data Analyst with a solid foundation in Computer Science and a Master's in Computer Applications from Pondicherry University. Proficient in leveraging Python programming for insightful data extraction and manipulation. Skilled in data visualisation, statistical analysis, and report generation, with hands-on experience in tools like Power BI and Excel.

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Frequently Asked Questions

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Workshop At a Glance

calendar_month
60 Hours In-Person Masterclass
group
Max 10 Participants Small batch, high interaction
workspace_premium
Certificate RISE Academy certified

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Next batch: Oct-10,2026 · RISE TBI, Areekode
10 seats remaining · Offline intensive · Workbook, materials & RISE Certificate of Completion included
Training Venues

Where the Workshop Is Held

State-of-the-art training facilities with breakout zones and executive seminar rooms.

RISE TBI, Areekode
location_on{{ course.location|default:"12, 4th Cross Rd, Koramangala 5th Block, Bangalore, Karnataka 560095" }}
ac_unitAir Conditioned videocamSeminar Projection wifiHigh-Speed Wi-Fi restaurantCatered Lunch editInteractive Whiteboards
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