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Goalposts & Gameplans: Using Analytics to Understand Football Performance

€ 495,00

Outcome:

  • Gain foundational skills in data science, visualization, and storytelling.
  • Learn to use AI for simple data insights and automation.
  • Produce a professional-quality visualization or infographic showcasing data trends.
Cohort Start DateTBD
LevelIntermediate
Sub-domainData Science
TimeTBD

6 seats remaining

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    Project Background

    Future Leader's Challenge

    Cohort Leader

    Detailed Curriculum of this Project

    Click here to access the weekly curriculum for this cohort bootcamp.

    Skills you develop in this project:

    • Data Analysis and Interpretation: Data scientists must possess strong analytical skills to extract meaningful insights from complex datasets. This involves gathering, cleaning, and processing raw data, then applying statistical and machine learning techniques to uncover patterns and trends. Students will develop the ability to interpret these findings and use them to inform business decisions or solve real-world problems.
    • Technical Skills in Data Tools: In this project, students will learn to work with user-friendly tools like Tableau or MATLAB to visualize and analyze data. They will develop the ability to create meaningful charts, dashboards, and reports, making it easier to interpret data trends and communicate insights without needing to write code. These tools help students turn raw data into clear, actionable information for decision-making. 
    • Critical Thinking and Problem Solving: Data scientists need strong problem-solving skills to design data-driven solutions to complex issues. This involves breaking down ambiguous problems into manageable components, selecting the appropriate algorithms or models, and continuously refining solutions based on feedback and performance metrics. Students will also learn to evaluate trade-offs between accuracy, speed, and complexity, ensuring their solutions are practical and scalable.

    Unlock your potential as a future leader in Data & AI with VisionnaireX

    The Journey starts now!

    Application Process

    Step 1: Application

    Sign up by clicking on the 'Enrol' button & submit your details 

    Step 2: Payment

    Make the payment to confirm your spot

    Step 3: Details

    Check your email for all the details of your project

    Step 4: Join the Cohort

    Join the links provided in the emails, meet with mentor & start learning in the scheduled live sessions

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    Domain

    Data Science & Analytics (+AI)
    Sub Domain

    Data Science
    Program Type

    Industry Cohort Program
    Level

    Intermediate
    Time commitment:

    Project Duration: Duration: 6 weeks

    Expected workload: 3 hours/week

    > Weekly meetings with your Cohort Leader
    > Independent research and analysis.
    > Collaborative tasks, if applicable.

    Data LYTClub

    Data science offers rapid career growth, exciting challenges across industries, and significant earning potential for those passionate about technology and analytics.

     

    Benefits of LYTClub Membership: 

     

    1) Be Part of an Exclusive Community: Connect with like-minded students and build your network with future data leaders, industry mentors, and alumni from top data-driven companies. Start creating connections that will fuel your career early on.

     

    2) Hands-On Industry Experience: Get a taste of what it’s like to work in top tech and data-driven companies. Learn directly from professionals who have worked at Google, Amazon, Microsoft, and more. Gain the real-world insights that will put you ahead.

     

    3) Exclusive Discounts: Access discounted rates for top-tier courses in data science, coding, and interview preparation from our trusted partner companies. Get the skills and guidance you need to ace your future internships and job interviews.

     

    4) Launch Your Future in Data: Whether you’re interested in AI, machine learning, or data analytics, the Lyghthouz Data Pioneers Club offers you the platform to explore, learn, and grow in the world of data science.

     

    Sign up to receive a complimentary handbook about 'Career in Data' compiled by our Data Leaders from Google, Nike & Adidas.

     

    Industry Facts
    • High Demand: Data scientists are in demand across industries, solving critical problems with data-driven insights and helping businesses make better decisions.
    • Skill Development: Builds expertise in data analysis, machine learning, programming, and storytelling with data. Data scientists work in industries like finance, healthcare, retail, tech, and more.
    • Top Companies: Major employers include Google, Facebook, Amazon, Microsoft, and specialized firms like Palantir, Snowflake, and Databricks.
    • Competitive Pay: Entry-level salaries in data science range from €50,000-€75,000 in Europe and $90,000+ in the U.S. With experience, salaries can surpass six figures.
    • Global Mobility: Data science roles offer opportunities to work globally, especially with remote work options and projects across borders.
    • Career Path: A stepping stone to leadership roles in AI, machine learning, and business strategy or entrepreneurship in the tech and analytics sectors.
     

     

     

    Unlock your potential as a future leader in Data & AI with Lyghthouz LYTClubs.