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In today’s data-driven world, Data Science and Data Analytics have become two of the most sought-after fields, offering tremendous job opportunities. However, choosing the right path can be confusing. In this article, we’ll explore the key differences between Data Science and Data Analytics, focusing on their scope, goals, job roles, necessary skills and potential salaries. By the end, you’ll have a clearer understanding of which career path might suit you better.

Creating a strong data science CV is crucial, but many candidates unknowingly make common mistakes that prevent them from getting shortlisted. From highlighting irrelevant experience to missing out on key industry skills, this article explores the pitfalls you should avoid and offers actionable tips to boost your chances of landing that interview. Learn how to craft a CV that stands out in the competitive field of data science.

The IT sector has been at the forefront of technological evolution for decades, but the last few years have witnessed unprecedented advancements. Technologies such as Data Science, Machine Learning and Artificial Intelligence (AI) are reshaping the landscape. As companies like Amazon, Google and Facebook integrate AI into their services, the future of the IT industry is undeniably linked to the potential of AI. For freshers and students, understanding how AI will influence IT careers is crucial to navigating the evolving job market.