Mastering Data Science: Top 5 Udemy Courses for Beginners

Data science is one of the fastest-growing fields today, with applications in almost every industry. The demand for professionals skilled in data science is higher than ever, and many people are eager to learn the fundamentals. Udemy is a great platform for beginners to start their data science journey, with a plethora of courses available on the subject. Here are the top 5 data science courses on Udemy for beginners, along with the number of reviews and links to each course:

Top 5 Data Science Courses on Udemy

Python for Data Science and Machine Learning Bootcamp

Instructor: Jose Portilla

Duration: 25 hours

Rating: 4.6/5 (457,075 reviews)

The fundamentals of the Python programming language and its application to data science and machine learning are covered in this course. You’ll learn how to design machine learning models using Scikit-learn and how to analyze and visualize data using well-known libraries like Pandas, NumPy, and Matplotli and you can also learn advanced Python features to solve different data science projects.

Also Read: Master Python Programming: From Beginner to Expert

Machine Learning A-Z™: Hands-On Python & R In Data Science

Instructor: Kirill Eremenko and Hadelin de Ponteves

Duration: 44 hours

Rating: 4.5/5 (167,398 reviews)

In this course, you will be able to learn Machine learning along with the concept of Data Science by using python programming language, in which they will teach you different types of the Machine learning algorithm and techniques which will help you to analyze which algorithm to choose for each type of problem. They’ll teach new skills and deepen your understanding of this difficult yet lucrative area of data science with each course.

The Data Science Course 2021: Complete Data Science Bootcamp

Instructor: Career360

Duration: 28 hours

Rating: 4.6/5 (121,227 reviews)

This program offered to you by the Career360 team will make you all understand the basic skills required to become a data scientist. It will help you to recognize the mathematics underlying machine learning Learn Python coding and how to apply it to statistical analysis. Once you’ll complete this course you will be able to create machine learning methods in Python using NumPy, stats models, and scikit-learn, and perform linear and logistic regressions.

Python for Data Science and Machine Learning Bootcamp

Instructor: Jose Portilla

Duration: 25 hours

Rating: 4.6/5 (128,570 reviews)

This course by Jose Portilla will help you to learn the concepts of data science along with that it’ll teach you Python programming for data science and machine learning, including Pandas for Data Analysis, Seaborn for statistical plots, SciKit-Learn for Machine Learning,  NumPy for Numerical Data and different machine learning like K-Means Clustering, Logistic Regression, Linear Regression and more.


Data Science A-Z™: Hands-On Exercises & ChatGPT Bonus

Instructor: Kirill Eremenko

Duration: 22 hours

Rating: 4.5/5 (32,977 reviews)

In this course, you will learn the complete data science process, including data mining, model deployment, feature engineering, machine learning models, and data cleansing. It’ll teach you the basics concepts of Regressions, SQL, and Cumulative Accuracy Profile (CAP), and by applying the concepts learned from this course you can perform different projects on Data science.

Udemy offers a wide range of courses in data science, from beginner to advanced levels. These top-rated courses are a great starting point for beginners who want to learn data science. By taking these courses, you will gain a solid foundation in various data science concepts, programming languages, and tools. However, it’s important to note that these courses are not the only ones available on Udemy, and learners should explore the platform to find courses that suit their specific needs and goals.

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