We like to keep things simple and we like to help. In common with many, we would like the world to be better and we try to make a difference. Our mission is founded on the belief that everyone has the right to have a chance in life. We would like that to mean something, a world where you have chance to make your mark irrespective of your gender or social background. This is our motivation.

The relatively new professions of Data Science (DS) and Data Analytics (DA) are not simply fashionable jargon, but rather disciplines with a set of tools that empower data enriched living. They are hybrid of compounding computing and numerical skills that may be difficult to develop in traditional training programs. Consequently, new generations of students need to be introduced to the discipline from an early age.

As the amount of ‘big’ Data increases there is a knock-on requirement for these facts and figures to be scrutinised, organised and presented in as clear and concise format as possible, this is the job of the Data Scientist. IBM predicts that demand for data scientists will increase 28% by 2020 and there is a great concern that supply of data science professionals is lagging dangerously behind demand. To meet this explosive demand, governments, businesses would be wise to rethink hiring, training, and partnership initiatives. Education and training systems need to adopt a more agile approach in responding to workforce needs that will prepare a future work force for analytics-related roles, while existing workers need to continuously enhance their analytical and technological skills.

We believe that recognising the potential of data to making life better is the first step of a process. With our help and support anyone with ability and the desire can achieve their goals within a discipline with a capacity to make things better.

Our training programmes are primarily directed to help you to recognise the vast range of knowledge embedded within the data of 21^st century digital interactions. We teach you to ‘master and speak data’ by taking a step by step approach from beginning to identify unseen details to producing visual data stories.

We deliver free part time data literacy initiatives specifically prepared for young women and those who identify as non-binary throughout the region. Principally, we tailor the courses to females aged eighteen and above who may already have engaging lives or would like to change the course of their careers, or maybe have recently discovered the potential career options available in data literacy. A typical programme of study would take part once a week for three hours over a two-month period. We strive to make the learning groups small and intimate and on completion students with good attendance who complete the required projects are presented with a certificate of completion.

The core structures of our courses of study originate from the hybrid of compounding computing and numerical skills that are difficult to develop by ‘traditional’ learning. As a consequence, we have developed a more resourceful ‘hands on’ approach to training students to think creatively about data inspired solutions. Courses are organised to suit our students’ already engaging lives.

All our courses are industry-leading, contemporary, relevant, and delivered by experts. There are two levels: Module I and Module II.

Indicative Syllabus
Module I: Fundamentals of DS

• Setting up the work environment (R or Python and GitHub): record keeping
• Good habits for statistical and data scientific work flows
• Data classification Descriptive summary statistics
• Basic statistical concepts
• Data exploration
• Data visualisation
• Reproducible dynamic reporting
Project I: A case study inspired by real problems.

Module II: Predictive Modelling

• Introduction to DA Methodology and bivariate data analysis
• Common data-analysis methodology; hypothesis testing
• Machine learning:
  • Multifactor linear regression and
  • Classification modelling
• Assessment of the efficacy of the fitted models using a rigorous training and testing framework
• Statistical reporting
Project II: A case study inspired by real problems.

By enrolling our courses, you will gain access to our community events and have opportunity to networking with:

• inspiring women already working in the sector
• like-minded people

Through participations in our hackathons we will help you enrich your skills and develop further your portfolio. Our local and international partners provide a unique opportunity to work on real-life projects with prospects of internships and future employments. As our student you will grow your skills, build your profile, and create a platform for your data literacy empowered career.

Through our sister initiative klikR, upon completion of our training programme our students can get involved into mentoring programme to inspire the next generation of females to enter into the field of data science.

We help inspire, develop, and train you in the data literacy skills that businesses really need.

Our initiatives are directed to facilitating a deeper understanding of what data science can bring to communal life. In addition to this we aim to create wider communities by connecting people through new and established forums and DS networks. Our community strategies are primarily geared to connecting girls in higher education and motivated professional women to engage with the career and personal opportunities that DS can advance.

We predominately organise small scale events with emphasis on mentoring programmes to inspire the next generation of females to enter into the field of science, technology, engineering and mathematics (STEM). We are committed to fostering greater inclusivity and gender diversity, but also through our klikR project we identify and help disadvantaged children who may not be able to access relevant materials or experience difficult learning surroundings outside of ‘traditional’ education institutions.

We encourage and support women to participate in substantive technical and professional conversations in a positive, supportive environment. Through a series of panel events such as, hackathons, exhibitions, and mentoring schemes, our programs help women build data literacy confidence and also maximise their presence in their professional lives and local and regional communities. We host workshops designed to inspire and motivate women, as well as organize training strategies to teach and refine data skills.

If you would like the opportunity to become a fellow traveller on our journey, please get in touch to join us and participate in one of our events.

We help institutions build the groundwork for a culture of transparent, open and reproducible research. Our training focuses on the effective use of computational tools in research that help easily track the process leading from data to results, so that it is fully reproducible.

We encourage researchers across a range of disciplines to acquire and develop the necessary computing and data skills needed for effective open and reproducible research. We do this by establishing an enquiring culture and by publishing and disseminating researchers papers with reproducible associated code and data.

We will introduce you to research compendia an increasingly used form of publication, that enables easy reproduction of the scientific workflow by packaging not only the research paper's text and figures, but also all data and software for better reproducibility. Such research practice increases the informational value and impact of one’s research, as the data and the available code and algorithms of their analysis can be reproduced, synthesized and update for future studies. Hence, it increases the credibility of the results, as independent verification of the findings is possible.

As we are great believers in transparency and open research we advocate research compendium through the use of R and RStudio. R together with RStudio is the best data science tool! It is open source and free software that is available to anyone with a desire to discover, learn, explore, experience, expand and share the algorithms of their data science journey. The R package structure is great way to organize and share a compendium. Packaging your analysis as a compendium gives you access to powerful developer tools.

Successful partnerships are founded a number of factors, some being more obvious than others. When there is an alignment of values, visions and shared objectives there is a greater chance that a partnership will flourish. However, there are innumerable components within any relationship that may influence the direction of travel.

We believe that success doesn’t have to be a coin toss. Actors involved in STEM related businesses and ventures that develop partnering skills and best practice are better placed to achieve their objectives.

Our approach to partnership is straightforward; we put faith in setting clear expectations and regard transparency as a requirement for effective understanding. We would like to establish partnerships with any actors that share our values and the desire to build their enterprises around exchanging ideas, innovative approaches to training and creating more dynamic data driven communities.

We welcome and invite organisations and individuals to contribute to the data science community by offering space, fostering collaborations with data owners and industry, mentoring, facilitating events, investments and more.

You can become our partner and

• Support building inclusive and diverse data science community
• Brand your company as a diverse data literate employer
• Gain access to a recruitment pool of talents
• Enhance company’s corporate social responsibility profile
• Expose your company not just to our and brother DS community, but raises your profile in the public

How to?

• Host and sponsor our courses
• Host and sponsor our events
• Engage your DS staff through our volunteer instructor programme
• Participate in public speaking for your employees at our events

The potential outcomes for commercial and civic ventures are clear:

• The opportunity to experience first hand leading digital innovation
• To get to know open data businesses
• Promote products and services within our networks
• Get sponsored for events in your area

We are passionate about what we do, if you share our passion and ambition we would love to hear your ideas. Shared energy, passion and enthusiasm will always help overcome any obstacles in any collaborative project.

For relationships to be successful they require time, effort, commitment and most importantly the right people to nurture and support those relationships. Corporate connections can help social purpose organisations to enhance their impact. As such they can provide access to new networks, skills, resources and financial support.

Naturally, for this to happen there should be an alignment of social and business priorities between potential partners. As collaborators, we believe that we provide excellent value and greatly improve the potential for innovative solutions in the the quickly evolving world of data science and data literacy.

We offer corporate training: Run data literacy courses in site at the companies to help

• Up-skill existing staff in and out analytical roles to raise the awareness of benefits of data driven functioning within the company
• Offer training that can attract new entry level data analysts and support their progression and development
• Demystify DS jargons and raise digital literacy across the organisation in particular leadership teams

To ensure that

• people have the skills and knowledge to work in a data driven environment
• company get a support in a cost effective way by putting in place mechanism for continuous self-learning and development
• learning doesn’t become a box ticking exercise
• encourage better data tech talent in particular women
• cultivate better engagement and communication within the organisation by developing the awareness of the data value for the business -> data profitability and business efficiency

Our courses can be tailored to your needs and deliver specialist master classes on specific topics, for example: Forecasting, Machine Learning etc.

Courses are run within house at the company unless requested otherwise.

Small group of female employees can be enrolled as individuals onto Professional Certify Training.

Shared value is the foundation of our approach to the relationships we have and those we seek to cultivate. Shared value can potentially fundamentally change the way in which corporates and organisations pull together to achieve social change. This is our goal.