Data Science Full Course 2026 | Data Science Tutorial | Data Science Training Course | Simplilearn

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

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This Data Science Full Course 2026 by Simplilearn, begins with an introduction to data science, building a strong foundation in the field. You’ll then dive into probability and statistics and the essential mathematics for machine learning, which form the backbone of data-driven problem-solving. The program continues with a detailed roadmap to data science, guiding you through the most in-demand skills, tools, and frameworks needed for career growth. From there, you’ll explore key machine learning algorithms, including classification, decision trees, random forests, K-means clustering, and Naive Bayes, before moving into deep learning concepts such as neural networks and model optimization. You’ll also gain hands-on experience with Python, NumPy, Pandas, Matplotlib, and Scikit-learn to analyze and visualize data effectively. By the end of this course, you’ll not only master the complete lifecycle of a data science project—from data collection and cleaning to model deployment, but also develop the confidence to tackle real-world case studies. Finally, the course concludes with data science interview questions and answers designed to prepare you for top-tier roles in analytics and AI-driven industries.

Following are the topics covered in Data Science Full Course 2026:

00:00:00 - Data Science Full Course 2026
00:02:08 - Introduction to Data Science
03:07:51 - Probability and Statistics
03:54:10 - Mathematics for Machine Learning
05:44:34 - Roadmap to Data Science
05:53:46 - Machine Learning Algorithms
- Classification of Machine Learning
- Decision Tree in Machine Learning
- Random Forest Algorithm
- K Means Clustering Algorithm
- Naive Bayes Classifier
- What Is Deep Learning?
09:10:45 - Data Science Interview Questions and Answers

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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 Post Graduate Program In Data Science:
This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects

Key Features
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✅ Core curriculum delivered in live online classes by industry experts
✅ Industry-recognized IBM certificates for IBM courses
✅ Engage in live online masterclasses led by Industry Expert, staff, and IBM experts
✅ Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
✅ Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
✅ Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
✅ 3 capstones and 25+ hands-on projects from various industry domains
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Model Building and Finetuning
✅ Supervised and Unsupervised Learning
✅ Ensemble Learning
✅ Deep Learning
✅ Data Visualization
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Explainable AI
✅ Machine Learning Algorithms
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Speech Recognition

Learning Path
✅ Program Induction
✅ Programming Refresher
✅ Data Management using SQL
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning Specialization

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