What are the Best Data Science Courses on Udemy?

The Data Science Course 2021: Complete Data Science Bootcamp

What you’ll learn

• The course provides the entire toolbox you need to become a data scientist
• Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
• Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance

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Statistics for Data Science and Business Analysis

What you’ll learn

• Understand the fundamentals of statistics
• How to plot different types of data
• Make data driven decisions
• Understand the concepts needed for data science even with Python and R!
• Calculate the measures of central tendency, asymmetry, and variability
• Use and understand dummy variables
• Distinguish and work with different types of distributions

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R Programming A-Z™: R For Data Science With Real Exercises!

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What you’ll learn

• Learn to program in R at a good level
• Learn how to create a while() loop and a for() loop in R
• Learn how to create variables
• Understand the Normal distribution
• Practice working with financial data in R

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Machine Learning, Data Science and Deep Learning with Python

What you’ll learn

• Build artificial neural networks with Tensorflow and Keras

• Make predictions using linear regression, polynomial regression, and multivariate regression
• Implement machine learning at massive scale with Apache Spark’s MLLib
• Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
• Build a movie recommender system using item-based and user-based collaborative filtering
• Design and evaluate A/B tests using T-Tests and P-Values
• Classify images, data, and sentiments using deep learning
• Understand reinforcement learning – and how to build a Pac-Man bot
• Use train/test and K-Fold cross validation to choose and tune your models

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