Python For Data Science Full Course | Data Science With Python Full Course In 12 Hours | Simplilearn

Wed, 11 Mar 2026 11:44:12 +0000

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🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=nHAPcZRg9VM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=nHAPcZRg9VM&utm_medium=DescriptionFirstFold&utm_source=Youtube

Below topics are explained in this Python for Data Science video:
00:00:00 Data Science Basics
00:05:38 Data Science libraries
00:51:05 Mathematics for Data Science
03:06:55 Data Science algorithms using python
06:24:35 Regularization, PCA, Cost Functions
10:47:23 Who is a Data Scientist

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⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

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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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