The leap from data analyst to data scientist is a natural progression for many professionals in the data field. While both roles involve working with data to extract insights, data scientists often engage in more complex analyses and model building, incorporating advanced statistical techniques and machine learning. If you're a data analyst looking to advance your career into a data science role, this guide will provide a clear road-map to help you make this transition.

Are you intrigued by numbers, patterns, and making data-driven decisions? A career in data analysis could be your perfect fit. This guide will take you through the journey from a complete novice to a professional data analyst, covering essential educational resources, certifications, and entry-level positions.

For professionals and organizations alike, staying abreast of these trends is crucial for maintaining a competitive edge. This blog explores the top data science trends to watch in 2024, including artificial intelligence (AI), machine learning (ML), big data, and their implications for data science careers.

While data science, data analysis, and data visualization are distinct fields, they are deeply interconnected and complementary. Together, they form a comprehensive approach to leveraging data for informed decision-making and strategic advantage. By understanding the differences and synergies between these roles, individuals and organizations can better navigate the data landscape and harness the full potential of their data assets.

So, people ask this question “How does TikTok know me so well?” and the answer from our perspective has always been the Data Science team at TikTok has nailed it by building a recommender system that works so well. Let's see how Data Science fuels TikTok's success.

The outlook for data science jobs continues to be highly positive. In 2020, IBM forecasted an anticipated 2.7 million available positions within the field of data science and related professions. Furthermore, they projected a substantial 39% increase in employer demand for individuals specializing in roles such as data scientists and data engineers.

The digital and data revolution provides massive opportunities for finance functions and accounting professionals as you will understand in Stephen's story. Enjoy the read!

Today, more than ever, businesses and governments are becoming more data-driven. This is helped by the fact that, today more than any time in our history, data is more readily available. The amount of data we produce is humongous and is fueled by the accelerated adoption of technology and data-driven tools. The website visual capitalist projects that by 2025 we will be producing about 463 exabytes of data each day!