Python for Data Science: Complete 12-Hour Course for Beginners 📊

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=rZscdOTs3s0&utm_medium=DescriptionFirstFold&utm_source=Youtube
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🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=rZscdOTs3s0&utm_medium=DescriptionFirstFold&utm_source=Youtube

00:00:00 Data Science in 5 min
00:05:20 Data Science Libraries in Python
00:20:53 What is Numpy
00:50:27 Python Pandas
01:42:48 Matplotlib Libraries
03:11:42 Mathematics for Data science
04:49:03 Linear Regression
05:23:16 Logistic regression
05:59:45 What is Decision Tree
06:24:25 Random Forest Tutorial
07:34:58 K-Means Clustering
08:55:28 Feature Selection in Machine learning
09:48:18: PCA
09:16:49 Cost Function
10:47:23 How to become a Data Scientist in 2021?

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➡️ 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
✅ Prompt Engineering
✅ 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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