Data Science Roadmap 2025 | Step-by-Step Guide to Become a Data Scientist

Hello Everyone, Are you aspiring to become a Data Scientist in 2025? In this video, I break down the ultimate Data Science roadmap for 2025, covering all t...

Programming Cradleβ€’904 viewsβ€’19:07

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Hello Everyone, Are you aspiring to become a Data Scientist in 2025? In this video, I break down the ultimate Data Science roadmap for 2025, covering all the essential skills and tools you need to master to excel in this ever-evolving field. Whether you're a beginner or looking to advance your career, this guide has you covered! Here's what you'll learn in this video: Programming: Mastering Python and R for data manipulation and analysis. Maths and Stats: Understanding the core statistical concepts and mathematical foundations critical for data science. Git & GitHub: Version control and collaboration tools to manage your projects efficiently. Data Manipulation: Techniques to clean, transform, and prepare data using libraries like Pandas and NumPy. Data Analysis and Visualization: Creating insightful visualizations with tools like Matplotlib, Seaborn, and Tableau. Big Data: Working with large datasets using Hadoop, Spark, and other big data technologies. Machine Learning: Building predictive models with scikit-learn, TensorFlow, and PyTorch. Deep Learning: Diving into neural networks and advanced topics like CNNs, RNNs, and LSTMs. Generative AI: Exploring the future of AI with Generative Adversarial Networks (GANs) and other cutting-edge technologies. Communication Skills: Effectively communicating your findings and insights to stakeholders. Presentation Skills: Crafting compelling data-driven presentations. Ethical Understanding: Navigating the ethical considerations in data science. Domain Knowledge: Specializing in specific industries like healthcare, finance, or e-commerce. Gain Experience: Practical tips on gaining real-world experience through projects, Kaggle competitions, and contributing to open-source projects. Don't forget to LIKE, SHARE, and SUBSCRIBE for more insightful content on data science and AI! πŸ”” Timestamp: 0:00 - Intro 0:30 - Programming 1:39 - Maths & Stats 2:35 - Git & GitHub 4:39 - Data Manipulation 5:53 - Data Analysis and Viz. 8:28 - Big Data 9:57 - Machine Learning 12:20 - Deep Learning 14:05 - Gen AI 16:09 - Soft Skills 18:16 - Work Experience 1-to-1 meeting: https://www.youtube.com/channel/UCDW48YM19iwgdkChPFGz36g/join OR https://cal.com/programming-cradle/30 Telegram: https://t.me/programming_cradle_family Discord: https://discord.gg/EFydz2hRbA Data Science Notes: It will be helpful for you, if you take printout of the notes and add points while watching the Applied AI Course videos. Data Science Notes: https://bit.ly/datasciencenotes or http://ow.ly/Tm7R50EedBh Thanks, Roshan Pandey You can also connect with me on: LinkedIn : https://linkedin.com/in/roshan-pandey GitHub: https://github.com/roshan-pandey Instagram: https://www.instagram.com/_peoples_channel_/ Stock Video Credits: www.pexels.com #programmingcradle #DataScience #MachineLearning #DataScience2025 #DataScienceRoadmap #MachineLearning #DeepLearning #BigData #GenerativeAI #Kaggle #DataAnalysis #GitHub #Programming #Python #AI #DataVisualization #EthicalAI #DataScienceSkills #CareerInDataScience

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Duration
19:07

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Published
Jan 14, 2025

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