Ever wondered who uncovers hidden patterns in vast amounts of data to solve real-world problems? 🧐 In this career spotlight, we explore the exciting world of data science:

• 👩🏻‍💻What data scientists really do: From analyzing massive datasets to building predictive models, discover how they turn raw data into actionable insights.

• 💻 The tools and technologies they master: Get to know the languages and tools like Python, R, and machine learning that fuel their work.

• 🚀 Why data science is a rewarding career path: Uncover the challenges, the impact, and the exciting future of this in-demand field.

Thinking about a career in data science? Check out these resources to explore courses, learning paths, and more. 👇

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IBM Data Science

Prepare for a career as a data scientist. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.

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Skills you'll build:

Data Science, Generative AI, Predictive Modelling, Data Analysis, Model Selection, Data Visualization, Python Programming, Pandas, Numpy, Dashboards and Charts, Matplotlib, dash, Relational Database Management System (RDBMS), Cloud Databases, Jupyter notebooks, SQL, regression, Clustering, SciPy and scikit-learn, classification, Machine Learning, CRISP-DM, Data Mining, Methodology, K-Means Clustering, Github, Jupyter Notebook, Data Science Methodology, Rstudio, Deep Learning, Big Data, Quering Databases, Data Generation, Interviewing Skills, Resume Building, Career Development, Job Preparation

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