DATA LEAGUE 2023

Welcome to the Data Challenge League!

Join us for an exhilarating competition where data enthusiasts can showcase their skills and creativity in the quest to find the best data scientists. This thrilling challenge is part of the upcoming Scottish Black Talent Summit hosted by DataKirk, an organization committed to fostering diversity and empowering black talent in the tech industry.

Data Challenge Streams

01.

Data Visualisation

Unleash your creativity and storytelling abilities in the Data Visualization Stream. Here, participants will be challenged to transform raw data into visually…..

02.

Data Analytics

The Data Analytics Stream is tailored for those who thrive in the realm of data exploration and analysis. Participants will delve deep into diverse datasets….

03.

Machine Learning

For those passionate about machine learning, predictive modeling, and algorithm development, the Data Science Stream offers an exciting opportunity………

Our Partners

ABOUT THE CHALLENGE

The Quest to Find the Best Data Talents

The Data Challenge League is held in conjunction with the Black Talent Summit—an empowering event organized by DataKirk to uplift and amplify the voices of black professionals in the tech industry. The summit serves as a platform for networking, learning, and fostering diversity. It brings together industry leaders, professionals, and aspiring talents to share insights, inspire change, and celebrate achievements.

Streams

AWARDS

Prizes and Recognition

In addition to the thrill of participating in the Data Challenge League, participants will have the opportunity to compete for remarkable prizes and gain recognition within the data community. Outstanding performers will be awarded prestigious titles, cash rewards, mentorship opportunities, and the chance to have their work showcased in industry-leading publications. This is your chance to shine and make a lasting impression in the data world.

Challenge Timeline

9 Aug - 9 Oct, 23
Accepting entries
10 Oct, 23
Deadline for all entries
11 - 18 Oct, 23
Evaluation
22 Oct, 23
Announcement of winners
30 Oct, 23
Award Ceremony

Register Now!

Fill out the registration form to secure your spot in the challenge. Provide your name, email, and select your preferred stream.

Registration is Free!

Meet the Experts !

FAQ

What is the purpose of this Data League Challenge?

The purpose of this competition is to showcase your skills in data visualization, data analysis and machine learning by solving real-world data problems. Participants will have the opportunity to demonstrate their ability to extract and communicate insights from data, apply statistical techniques, create machine learning models and provide actionable recommendations.

Who can participate in the Data League Challenge?

The competition is open to individuals or teams with a passion for data analytics. Students, professionals, and data enthusiasts from diverse backgrounds are welcome to participate.

Why should I participate in the Data League Challenge?

The Data League Challenge is an opportunity to strengthen and demonstrate your data science skills in a real-world context. Participating could lead to a cash prize, recognition, networking, and career opportunities.. It's an enriching experience that can give your data science career or studies a significant boost.

How do I register for the Data League Challenge?

To register for the competition, please select any of the competitions you are interested in and follow the registration instructions provided. You may need to provide your name, contact information, and any additional details requested.

What are the datasets used in the Challenge?

DataKirk will provide the datasets to participants. These datasets will represent real-world scenarios and may contain structured or unstructured data. Detailed instructions on accessing and using the datasets will be provided to registered participants.

Can I use any programming language or tools for the challenge?

Participants are generally allowed to use any programming language or tools of their choice. Commonly used languages like Python, R, or SQL, as well as popular analytics libraries and frameworks, are generally acceptable. However, please refer to each individual competition's guidelines or rules for any specific restrictions or requirements.

Are there any restrictions on the number of team members?

Each competition may have specific guidelines regarding team sizes. Please refer to individual competition rules or guidelines to determine if there are any restrictions on the number of team members.

How will my submission be evaluated in this challenge?

Submissions will typically be evaluated based on various criteria, such as data preprocessing techniques, analysis methodologies, insights derived, visualization, model performance and presentation of results, and the overall quality of the submitted work. Refer to individual competition guidelines for specific assessment criteria.

How can I stay updated about the competition and its results?

Regular updates regarding the competition, including important dates, announcements, and results, will be communicated through the competition website, email newsletters, or official social media channels.