YouTubeSimpliLearn1 lesson
We’ll begin with the data science workflow: defining a problem, collecting and cleaning data, exploring patterns, and communicating findings. Then we’ll move into machine learning, including supervised and unsupervised learning, model training, and evaluation.
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 ✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
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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