Data Science & Machine Learning Full Courses in Python & R | Great Learning - Data Science Course for Beginners (11 Hours Data Science Tutorial)

Unlock your data science journey with our hands-on Python course: https://bit.ly/Hands-onDataSciencewithPython Course Introduction / Overview Dive into "Hands-On Data Science: Build Real Projects with Python" and develop in-demand skills for today’s data-driven world. This course takes a practical approach, guiding you through Python essentials, data analysis, visualization, and machine learning using leading libraries like Pandas, NumPy, and Matplotlib. Designed for both beginners and those looking to sharpen their abilities, you’ll work through real-world projects and master techniques that turn raw data into actionable insights. Whether you’re aiming to launch a career or add value to your current role, this course will help you unlock the full power of data science. How Data Science Works / Importance Data Science is the art of turning data into actionable knowledge. By merging programming, statistics, and deep domain understanding, data scientists uncover insights hiding in massive data sets. These insights help industries like healthcare, finance, tech, and marketing to improve processes, forecast trends, and drive big innovations. Mastering data science means you can help businesses make smarter decisions and shape the future. What You’ll Learn By completing this pro course, you’ll be able to: Understand what Data Science is and why it’s transforming industries Get hands-on with crucial Python libraries: Pandas, NumPy, Matplotlib Clean, analyze, and visualize complex datasets Build predictive machine learning models Apply statistical analysis to draw powerful conclusions Work on industry-inspired projects to reinforce your skills Gain tips and real-world examples to launch your own Data Science journey Topics Covered / Agenda 🏁 Course Agenda: [00:00:00] Introduction [00:02:15] Statistics vs Machine Learning [00:08:55] Types of Statistics [01:50:35] Types of Data [02:45:50] Correlation [02:52:23] Covariance [04:24:36] Basics of Python [04:43:58] Python Data Structures [04:55:58] Flow Control Statements in Python [05:32:48] NumPy [05:51:30] Pandas [06:14:28] Matplotlib [06:38:14] Linear Regression [09:54:34] Logistic Regression Further Learning / Programs Continue your learning journey with more detailed and advanced programs: Free Data Science Course (Free): https://bit.ly/GLA-IntroductiontoDataScience Free Python for Data Science Course (Free): https://bit.ly/GLAPythonforDataScience Python for Data Science and Machine Learning Course (Paid): https://bit.ly/master-data-science-machine-learning Statistics for Data Science & Analytics Course (Paid): https://bit.ly/StatisticsCourseforDataScienceandAnalytics Data Science with Python (Paid): https://bit.ly/Hands-onDataSciencewithPython Why Watch This Video / Learn This If you’re interested in how data shapes the modern world, this video is your first step! Our beginner-friendly lessons break down all the essentials—from basic concepts to hands-on projects—so you can immediately start applying new skills. Don’t just watch: follow along, experiment with the code, and launch your own projects. Subscribe for more tutorials and insights that keep you at the cutting edge of Data Science and technology! Perfect For / Target Audience You’ll benefit from this course if you are: Data Scientist Analyst Software Developer Machine Learning Engineer Business Intelligence Specialist Aspiring Data Enthusiast Social Media / Follow For Updates Stay connected for the latest updates, tips, and course releases: ✅ Telegram: https://bit.ly/Gl-Telegram ✅ Facebook: https://bit.ly/Gl-FB ✅ LinkedIn: https://bit.ly/GL-linkedin ✅ Blog: https://glacad.me/GL_Blog