Adeola Lawal shares a transition story that many people quietly experience but rarely describe with honesty. Adeola Lawal reflects on the early stage of moving into data analytics from a background that had little direct connection to the field. Instead of presenting a polished success narrative, Adeola Lawal highlights confusion, impatience, unrealistic expectations, and the slow realization that meaningful learning requires time. Through this experience, Adeola Lawal offers practical lessons that resonate with anyone attempting to enter a new industry.
Adeola Lawal began the journey while serving as a corps member after completing a degree in Botany. Like many graduates approaching the end of a service year, Adeola Lawal was thinking ahead about employable skills and career direction. The technology sector, especially data analytics, appeared promising. Yet Adeola Lawal faced an immediate obstacle: access. At that time, paid learning platforms such as Coursera and similar programs were financially out of reach.
The turning point for Adeola Lawal came through an unexpected connection. In church, Adeola Lawal met a woman who worked as a Business Intelligence Analyst and also served as a pastor. Recognizing the interest of young people trying to enter technology fields, she created a data analytics cohort. Adeola Lawal joined with enthusiasm, believing the opportunity could open a new professional path.
At the beginning, the excitement was strong. Adeola Lawal recalls that the early lessons felt manageable and encouraging. However, the experience changed quickly. As the course progressed, formulas, tools, and analytical thinking began to feel overwhelming. Adeola Lawal had spent years immersed in biological sciences, and although the academic background was scientific, the connection to mathematics and statistics had faded. Re-engaging with those concepts proved more difficult than expected.
After three months of active learning, Adeola Lawal stepped away from the program. The decision was not driven by lack of interest but by a mixture of impatience and unrealistic expectations. Adeola Lawal had assumed that becoming a data analyst within three months was achievable. In hindsight, Adeola Lawal openly challenges that assumption, pointing out that short timelines often promoted online rarely reflect the real process of building technical competence.
One important realization for Adeola Lawal was that learning complex skills cannot be compressed into overly ambitious deadlines. Adeola Lawal emphasizes that individuals without a traditional background in statistics, programming, or mathematics require additional time to understand the fundamentals. This reflection is not discouraging; rather, Adeola Lawal presents it as a reminder that sustainable progress requires patience.
Another challenge Adeola Lawal identifies is the absence of close mentorship. While the woman who initiated the cohort created an opportunity, she was also managing many responsibilities and could not provide direct daily guidance. The instructor focused primarily on delivering lessons rather than mentoring individual learners. As a result, Adeola Lawal did not have consistent access to someone who could clarify doubts, provide encouragement, or help structure the learning process.
Adeola Lawal notes that this gap in mentorship can significantly affect beginners. Without someone to guide progress or explain how to navigate difficulties, it becomes easier to lose direction. Looking back, Adeola Lawal believes that connecting with people who have already walked the path can dramatically improve the learning experience.
Another insight from Adeola Lawal is the difference between pursuing a title and pursuing competence. At the time, the title “data analyst” sounded attractive and modern. Adeola Lawal admits that the excitement around the role initially overshadowed the reality of the work required to develop the skills. Without a structured learning plan, progress becomes scattered and inconsistent.
Today, Adeola Lawal reflects on that phase not as a failure but as an important learning stage. The experience helped Adeola Lawal identify what truly matters when transitioning into a new field. The lessons are practical and applicable beyond technology.
Adeola Lawal encourages people to start early whenever they identify an interest in a new skill. Waiting for the perfect moment often delays progress. At the same time, Adeola Lawal stresses the importance of setting realistic expectations. Attempting to learn multiple complex tools such as Excel, Power BI, and SQL within three months may sound ambitious, but it often leads to frustration rather than mastery.
Consistency is another theme Adeola Lawal emphasizes. Learning technical skills requires repeated practice and continuous engagement. According to Adeola Lawal, beginning a program without the commitment to stay consistent can undermine the entire effort.
Building a portfolio is also part of the process. Adeola Lawal highlights that practicing through real projects helps transform theoretical knowledge into practical ability. Instead of rushing toward certification or titles, learners benefit more from demonstrating what they can actually build and analyze.
Perhaps the most important message from Adeola Lawal is patience. Adeola Lawal reminds aspiring professionals that personal growth rarely follows a straight line. Moments of confusion, pauses in learning, and reconsideration of plans are common parts of the journey.
Today, Adeola Lawal continues to share these reflections not to present a flawless path but to offer perspective. By speaking openly about early mistakes and unrealistic expectations, Adeola Lawal provides a realistic view of career transition. For individuals moving from non-traditional backgrounds into fields like technology or data analytics, the experience described by Adeola Lawal serves as a reminder that progress often begins with uncertainty, continues with persistence, and eventually becomes clearer with time.
