Uploaded August 2026 | Updated September 2026, 2 weeks ago

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In this video, Applied Data Science with ML Full Course 2026, you’ll learn how to apply data science and machine learning techniques to solve real-world business problems. This complete beginner-friendly course covers the full data science pipeline—from problem framing and data collection to cleaning, exploratory data analysis (EDA), feature engineering, model building, evaluation, and deployment.

You’ll start with Python fundamentals and essential libraries such as NumPy, pandas, Matplotlib, and Seaborn for data manipulation and visualization. Then you’ll dive into statistics, probability, and machine learning algorithms including linear regression, logistic regression, decision trees, random forest, SVM, KNN, Naive Bayes, and clustering techniques like K-Means and hierarchical clustering.

The course also includes hands-on projects, case studies, and mini capstones in domains like marketing, finance, healthcare, and operations. We’ll cover advanced topics such as deep learning, neural networks, NLP, transformers, LLMs, RAG, MLOps, and GenAI applications to help you build production-ready models and prepare for data science interviews in 2026.

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➡️ About Data Analyst Course

This online data analyst course will transform you into a data analytics expert. In this master’s course, you’ll learn the latest analytics tools and techniques, work with SQL, R, and Python, create impactful data visualizations, and apply statistics and predictive analytics to real business challenges.

Key Features
✅ Earn an industry-recognized Data Analyst Master’s certificate from Simplilearn
✅ Learn through a comprehensive curriculum featuring exclusive Microsoft courses
✅ Learn from industry experts through live, interactive online sessions
✅ Gain hands-on experience with industry-relevant tools and packages
✅ Build real-world skills through 10+ course-end projects
✅ Apply your skills in a capstone project for holistic learning
✅ Get lifetime access to self-paced learning resources
✅ Benefit from Simplilearn’s career support services
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Skills Covered
✅ Data Analytics
✅ Statistical Analysis using Excel
✅ Data Analysis using Python and R
✅ Data Visualization Tableau and Power BI
✅ Linear and logistic regression modules
✅ Clustering using KMeans
✅ Supervised Learning
✅ Unsupervised Learning

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