Mavent Analytics’ Post

Let's shine a spotlight on a field where data-driven insights transform industries – "Women in Data Science: Contributions and Challenges." 🚀👩💻 🌟 Incredible Contributions: Women have been instrumental in shaping the data science landscape. From groundbreaking research to driving data-driven decision-making, let's celebrate the remarkable contributions women make in the world of data science. Share your stories of triumph and success! 📈 Closing the Gender Gap: While progress has been made, there's still work to be done to bridge the gender gap in data science. Let's discuss the challenges women face in entering and thriving in this field and explore strategies to promote inclusivity. 🔍 Role Models in Data Science: Who are the inspiring women leading the way in data science? Tag or mention the trailblazers who serve as role models and mentors, helping to guide the next generation of data scientists. 🌐 Global Impact: Data science knows no borders. How are women around the world contributing to data science, and what can we learn from diverse perspectives? Share insights into global initiatives and collaborations driving data science innovation. 🔐 Overcoming Challenges: Discuss the unique challenges women may encounter in data science careers and share strategies for overcoming them. How can we collectively create a supportive environment that encourages more women to pursue and thrive in data science roles? Let's foster a dialogue! Share your thoughts on the state of women in data science, your experiences, and the steps we can take to ensure a more inclusive and diverse future for this dynamic field. 💬💡 #WomenInDataScience #DataScience #Innovation #GenderDiversity #LinkedInCommunity #TechInclusion 📊🔗 https://lnkd.in/dufEsSrV

See Jayashree Raja’s article that explores the invaluable impact of women in data science and how their diverse perspectives and talents are shaping the future.👇🏾#womeninstem #datascience

Women in Data Analytics Empowering Women to Excel in a Fast-Growing Field Women continue to be underrepresented in tech, with only a small percentage of women pursuing careers in this field. Despite the fact that women make up half of the workforce, they are still underrepresented in many tech-related fields, including data analytics. In every industry, businesses leverage data to drive insights and make informed decisions using data analytics. As the field continues to grow, so does the demand for skilled professionals to extract insights from complex data sets. Despite the fast growth of data analytics, the historically male-dominated field still fails to bring enough women to the table. According to the latest data from the U.S. Bureau of Labor Statistics, women held 27% of jobs in computer and mathematical occupations in the United States in 2020. Data influences every aspect of our lives, so it's crucial that both men and women are involved in interpreting and applying this information. Women who pursue careers in data science not only contribute to shaping the data-driven world but also reap personal benefits, such as gaining access to a rapidly expanding field with attractive salary options and career prospects. By encouraging more women to join the field, we can create more opportunities for them to advance in their careers and attain financial stability. #novemberchallenge Day 3 post

Women Shaping Data Analytics’ Future: Recently , recently, the future of work has become a dominating topic of conversation, drawing much attention to the ways all kinds of industries are changing due to technological development. The field of data analytics is no exception; that is why it becomes a battleground of forces that present both challenges and prospects to everyone. The risk is that in the pursuit of truth, the small stories are often forgotten. Historically, the field of data analytics has been associated with men, which is in line with the overall gender inequality in the STEM areas. However, even though this field has been male dominated for many years, there is a growing realisation of the importance of women’s contributions in the context of data analytics. One of the main reasons why women are specially designed and trained to work in the field of data analytics is their natural ability to see complex patterns and connections. Research claims that women are, in many cases, better than men in aspects such as critical thinking, problem-solving and emotional intelligence. All these factors are essential for good data analysis. Women in the field of data analytics are distinguished by their collaborative nature, which is another factor. Women are skilled at establishing and maintaining relationships, which helps to create a cooperative work atmosphere that encourages information sharing and group problem-solving. The importance of collaboration in a field as dynamic and multidisciplinary as data analytics cannot be emphasised because it allows teams to use different viewpoints and skill sets to more successfully address challenging problems. Furthermore, the need for diverse talent in the data analytics industry is rising as more and more people realise how important diversity and inclusivity are to fostering creativity and corporate success. In an effort to better represent the demographics of both their clientele and the general public, businesses are actively working to diversify their staff. Because of their distinct skill sets and viewpoints, women are well-positioned to take advantage of these opportunities and have a big impact on how data analytics work is done in the future. Nevertheless, there are still obstacles and difficulties that prevent women from reaching their full potential in the field of data analytics, even with the evident advancements made in recent years. The professional development of women in STEM professions, including data analytics, is still impeded by gender bias, unequal chances for progression and a lack of representation in leadership roles. Resolving these issues and guaranteeing gender parity in the workplace of the future would need coordinated actions at societal and organisational levels. Companies need to put diversity and inclusion programmes first, use fair hiring and promotion procedures…

♀️ Now more than ever, we need women in data careers! 💪 It will ensure that algorithms and datasets are for everyone and capture a true reflection of our society and its needs. 💾 Artificial intelligence, data science and technology have all been identified as growth sectors for careers in the future. However, a massive discrepancy still remains in the balance between men and women, both in the workforce and in tertiary education. 💡 That's why we have put together a helpful list of tips for women currently working in, or looking to work in, data science. 👉🏿 Visit our blog article for our tips: https://loom.ly/px0Pazo 👉🏿 Interested in data science? This is the course you are looking for: https://loom.ly/96QUvsU #StudyOnline #WomenInData #StudyDataScience

Excited to share my latest article on the impactful role of women in data science! 💼📊 From breaking barriers to driving innovation, women are making remarkable strides in this field. In my piece, I delve into the inspiring stories of female data scientists who are shaping industries and challenging norms. Let's celebrate their contributions and continue to champion diversity in data science. Check out the article here https://lnkd.in/gkvVHnei. #WomenInDataScience #DiversityInTech #DataDriven

"Focus on preserving and claiming the role you’ve earned!" Great advice from our Head of Data Science and Machine Learning Amber McKenzie "While studies show that women currently hold about 28% of technology jobs, the total number of women in tech positions has actually decreased over the last few years. Gender disparity clearly still exists, and it is even more prominent in the field of Data Science. To make way for more women in Data Science, it’s important for me to share the lessons I’ve learned as a woman in a male-dominated space." Learn more about Amber's great advice to women looking to pursue data science careers or move up! Great for anyone looking to advance in place where they find themselves walking into a room and bringing the diversity with them! #womenintech #womenindatascience #datascience #ai #hrtech #womenleaders https://lnkd.in/eYvkzpz9

Data Education in Colleges are celebrating the vital role played by colleges right across the country. #LoveScotlandsColleges As part of the #DataSkillsGateway programme, we delivered the Women in Digital and Data Innovation course. This course aims to develop data science, meta-skills (such as critical thinking and adaptability), and transferable skills, with a specific focus on addressing the gender imbalance in technology industries. Learners in this programme develop confidence in using digital technologies in various educational, social, or vocational online environments. Upon completion of the programme, learners receive a recognised Scottish Qualification Authority (SQA) – PDA in Data Science – and acquire skills that positively contribute to their personal and professional growth. The Women in Digital and Data Innovation programme is a proactive initiative aimed at addressing gender imbalances in data-related roles through various interventions. The course further aims to foster data literacy and encompasses skills such as communication, numeracy, problem-solving, and collaboration, as working with data often requires these competencies. Considering the crucial role of data in organisational success, there is a growing demand for data literacy and associated meta-skills. https://lnkd.in/eSpp2CDv #LoveScotlandsColleges #WomeninTech #WomeninData #DataSkills #AISkills

Have things changed? --> There needs to be more diversity: as few as 15% of data scientists today are women. And the lack of diversity is a serious issue. A.I. algorithms are biased, so building them requires a team with a wide range of views and experiences. Diversity of approaches and viewpoints is critical in building efficient data science teams. For example, machine learning algorithms occasionally "see" patterns that lead to spurious, biased, or even dangerous conclusions. A diverse group must ensure that bias-prone models produce accurate, balanced results. Building such algorithms can be an art as science. (2020) https://lnkd.in/ev4ZSKye

Excited to share a transformative Tableau project highlighting the incredible achievements of women in STEM! 🚀💡 Join me on a visual exploration highlighting the invaluable contributions of female professionals in science, technology, engineering, and mathematics. Let's spark conversations, inspire change, and champion diversity together. #WomenInSTEM #DataVisualization #TableauProject OVERVIEW OF THE PROJECT- Passionate about championing diversity and women's representation in STEM (Science, Technology, Engineering & Mathematics) fields, I spearheaded a groundbreaking Tableau project which focusses on highlighting the achievements of women in STEM fields. Leveraging data visualization techniques, I showcased the invaluable contributions of female professionals, inspiring future generations and fostering inclusivity within the tech industry. This dashboard looks like an article predicting the basic issues to harness the power of data visualization for social change. VISUALISATION DESIGN- 📌A pie graph of women in Biological Scientists, Chemists & Materials Scientists, Computer & Mathematical Occupations, Engineers & Architects according to your choice from Profession which information you want to see. 📌The trendline of percent women graduating in Computer science and Engineering from 2000-2015. 📌A bar graph of what percent of women are in stem jobs by education in which field by 2015. 📌A cross tab with percentage of men and women working in the related fields of their education. 📌A comparison graph of All/Men/Women Salaries by ethnicity. User-Centric Highlights: 📌The "Bridging the Gender Gap in STEM" dashboard is an essential tool for organizations dedicated to balancing gender representation in Science, Technology, Engineering, and Mathematics (STEM) fields. 📌Utilizing data visualization, this dashboard highlights the challenges women encounter in STEM careers, offering a significant platform to advocate for social change. Project Link- https://lnkd.in/ewdyJkWQ