Ultimate Python Libraries for Data Science Beginners 📊 | Complete Course

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🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=Ee8dDnwq374&utm_medium=DescriptionFirstFold&utm_source=Youtube

This video on Python libraries for the Data Science course will make you understand how to perform numerical computation, data analysis, and data visualization using NumPy, Pandas, and Matplotlib libraries. You will so get an idea about Scikit Learn for model building, BeautifulSoup for Web Scrapping. Finally, you will learn about TensorFlow.

Below are the topics we will be discussing in this video:
00:00:00 Top 5 Python Libraries for Data Science
00:16:34 NumPy
01:39:06 Pandas
02:31:37 Matplotlib
03:32:58 Web Scrapping Using Python
04:10:15 Scikit-Learn Tutorial
04:53:55 Tensorflow 2.0

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#PythonLibrariesForDataScience #PythonLibrariesForBeginners #PythonLibrariesExplained #PythonLibrariesTutorial #DataScienceTutorial #DataScience #Simplilearn

➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
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✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

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