Applied Data Science With Python Full Course 2026 [Free] | Python For Data Science | Simplilearn
Jun 16, 2026âąChannel
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Video Details
Published1 month ago
Duration7:11:43
Video IDsoRf5yNSSWU
Languageen
CategoryEducation
PrivacyPublic
Made for KidsNo
Video TypeRegular Video
Performance Metrics
Views514
Likes13
Comments0
Engagement Rate2.53%
Likes per 100 views2.53
Comments per 1K views0.00
Video Tags
#applied data science with python full course 2026 free#python for applied data science tutorial#data science real world projects python#numpy pandas matplotlib seaborn sklearn course#data cleaning preprocessing feature engineering python#machine learning model evaluation python#business analytics data science python#data science portfolio projects python#free data science course online 2026#python data science learning path#simplilearn free courses#simplilearn#2026
Description
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This video on Applied Data Science with Python Full Course 2026 by Simplilearn, we provide a complete guide to learning applied data science using Python with real-world use cases. This course focuses on applying data science concepts to solve business problems. You will learn key topics like data cleaning, data analysis, visualization, and machine learning. The video covers libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn. You will also explore concepts like data preprocessing, feature engineering, and model evaluation. The course includes hands-on projects and real-world datasets to build practical skills. It is ideal for students, analysts, and professionals looking to apply data science in real scenarios. You will understand how data science is used in business intelligence and decision-making. This course also highlights career opportunities in data science and analytics roles. If you want practical experience in data science, this course is perfect. Watch this video to learn the complete applied data science roadmap with Python in 2026.
Following are the topics covered in applied data science with python full course 2026:
00:00:00 - Introduction To Applied Data Science With Python Full Course 2026
00:02:48 - Session format and LMS setup
00:12:15 - Data evolution and AI era
00:22:14 - Data types and DIKW model
00:31:48 - What data science means
00:44:37 - Python tools and chart basics
00:55:50 - NumPy fundamentals
01:08:43 - NumPy performance and operations
02:17:41 - NumPy indexing and slicing
03:16:32 - Pandas foundations and series
03:46:51 - Series operations and missing data
04:15:52 - DataFrames and analysis methods
04:50:48 - Datetime, categories, iteration, sorting
05:57:16 - Visualization concepts and probability
06:14:43 - Matplotlib chart demonstrations
07:14:59 - Seaborn datasets and practical analysis
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âĄïž About Data Science Course
This online Data Science course equips you with end-to-end skillsâfrom Python refresher, SQL, Data visualization to advanced statistics, deep learning and machine learning workflows.
Key Features
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Learn through an AI-driven curriculum covering Python, SQL, advanced statistics, ML,DNNs and more
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Strengthen your expertise in GenAI, LLMs, RAG, MLOps, Fabric ML, Azure ML and PowerBI with AI integration
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Gain live, interactive guidance from industry experts across modules
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Earn an industry-recognized Data Science Masterâs certificate from Simplilearn
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Build hands-on proficiency with leading data science tools, ML frameworks, and AI-driven tools
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Capstone from 3 domains and 15+ projects
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Get lifetime access to self-paced learning resources for continuous skill growth
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Program crafted to initiate your journey as a Data Scientist
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Integrated labs for hands-on learning experience
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Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered
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Database Management SQL
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Core Python Programming
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Data Manipulation amp Analysis
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Exploratory Data Analysis
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Descriptive Statistics
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Inferential Statistics
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Explainable AI
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Conversational AI
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Large Language Models
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Ensemble Learning
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Data Visualization
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Deep Learning Frameworks
đ Learn More At: https://www.simplilearn.com/in/data-science-course?utm_campaign=soRf5yNSSWU&utm_medium=Lives&utm_source=Youtube
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