Python Libraries: NumPy, Pandas and Matplotlib for Machine Learning Simplified for Beginers
https://bit.ly/3Ff5Esb In this comprehensive Python Full Course Part 6, Sagar Bhilare—a seasoned Data Science, Machine Learning, and AI expert with over 7 years of experience—guides you through mastering essential Python libraries for data science. In this session, Sagar will cover the entire process, from installing libraries to harnessing the power of NumPy, Pandas and Matplotlib for data manipulation, analysis, and visualisation.
https://bit.ly/3Ff5Esb
Known for his deep industry knowledge and hands-on teaching approach, Sagar has empowered hundreds of learners to navigate complex data science tools with ease. In this module, he breaks down each library, providing clear, practical insights that are essential for anyone aiming to elevate their Python skills and build a career in data science.
Whether you're starting out or aiming to deepen your proficiency, this session equips you with foundational tools that make data analysis and visualisation in Python both accessible and powerful.
https://bit.ly/3Ff5Esb
What Will You Learn?
👉 Installing Libraries: Sagar will walk you through the steps of setting up essential Python libraries, ensuring you’re ready for seamless data science exploration.
👉 NumPy for Arrays: Discover how to use NumPy for handling arrays and mathematical operations, optimising the way you handle data.
👉 Pandas for Data Manipulation: Learn data manipulation techniques with Pandas, essential for cleaning, transforming, and organising datasets effectively.
👉 Matplotlib: Visualise data with Matplotlib, exploring charts, graphs, and plots that bring your data to life, from line charts and scatter plots to advanced customisation.
https://bit.ly/3Ff5Esb Why Learn with Imarticus Learning?
📌 Industry Expertise: Learn from professionals with vast experience in Data Science and Analytics.
📌 Hands-On Practice: Apply your knowledge with real-world data science tools, through interactive datasets and hands-on projects.
📌 Career Support: Get comprehensive career support, including resume-building guidance, mock interviews, and mentorship, setting you up for success.
📌 100% Job Assurance: Secure your future in data science with our 100% Job Assured Postgraduate Program.
Want to Dive Deeper into Data Science Tools & Languages? Join our Data Science & Analytics Program!
Top 5 Movies/Shows for Data Enthusiasts
🎬 Moneyball (2011) - A powerful look at how data can revolutionise decision-making in sports, with real-world data application insights.
🎬 The Great Hack (2019) - An exploration of data privacy, data manipulation, and ethics in the digital age.
🎬 Social Dilemma (2020) - A compelling take on data influence in social media and its impact on society.
🎬 Westworld (TV Series) - A fictional, intriguing insight into AI, machine learning, and data’s role in predictive modelling.
🎬 Ex Machina (2014) - A fascinating thriller on the boundaries of AI, machine learning, and human-computer interactions.
Top 5 Books to Deepen Your Knowledge in Data Science and Python Libraries
📚 Python for Data Analysis by Wes McKinney - Written by the creator of pandas, it’s a must-read for data manipulation with Python.
📚 Data Science from Scratch by Joel Grus - A comprehensive guide covering Python libraries for data science enthusiasts.
📚 Practical Statistics for Data Scientists by Peter Bruce and Andrew Bruce - A practical overview of statistics in data science with Python and R.
📚 Python Machine Learning by Sebastian Raschka - Dive into machine learning with Python’s data science libraries.
📚 Storytelling with Data by Cole Nussbaumer Knaflic - Learn how to tell compelling stories using data and visualisation.
About Imarticus Learning
Imarticus Learning is a leading education company, offering high-quality, industry-specific education via innovative technology, specialised training, career assistance, and mentorship from industry professionals. We have impacted over 10,00,000+ careers within a decade through leading-edge curriculums, highly experienced faculty, and over 3500+ global partnerships with leading institutions and corporations. We offer courses that prepare learners for successful careers in finance, banking, data science, analytics, management, marketing, and technology.
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