Top Online Data
Science Courses in 2021

Whether you want to become a data scientist, a data analyst, or simply use data in your profession, this Codecademy program will help you gain the relevant expertise. It is a 35-week course covering data analysis with SQL and Python, Matplotlib, Pandas, and more. This course is designed for tech newbies.

If you are interested in pursuing data analytics, this professional certification will help you build that career. You will learn the essential skills needed to become a junior data analyst. They include data organization, analysis, SQL, R, Tableau, and data visualization.

This certification course offered by Harvard prepares you for the world of data science by teaching key data science skills. The course covers the foundations of R programming, statistical principles, software tools, machine learning, and more.

This self-paced program comprises nine graduate-level courses and must be taken in the sequence it’s taught. By the end of the course, you will be proficient in GitHub, Linux, ggplot2, probability, and have an in-depth understanding of real-world data science cases.

IBM’s professional certificate program is ideal for those interested in a career in data science and machine learning. This course covers data science with Python and all the essential skills needed to excel in the field. They include using Python to build pipelines, machine learning models, data analysis, Pandas, SQL, and relational database management systems.

IBM offers this four-course specialization and teaches you all the essential skills needed to become a data scientist. It is suitable for everyone, regardless of your background, as it’s an introductory course. You will learn tools such as JupyterLab, GitHub, and R-Studio. The course also covers machine learning concepts.

If you have looked into data science, you will know the importance of R programming in applying statistical operations. This course, offered by Johns Hopkins University, will help you specialize in R by teaching you essential tools such as GitHub, R-Studio, and more. You will learn to analyze, visualize, and manage data using these tools.

This course offered by Johns Hopkins is meant for those with a basic understanding of Python and regression. The course teaches data science with R to clean and visualize data. It also covers GitHub, regression analysis, and interference.

You will gain valuable data science skills including cluster analysis, debugging, machine learning, and plenty more. During the last phase of the course, you will work on a capstone project where you will use real-world data to build a data project.

If you already have an understanding of databases and IT systems, and are looking to advance your data query knowledge, this course is for you. It especially applies to those wanting to become SQL database professionals. You will learn to query and modify data in Azure SQL, and program and configure a database server with Transact-SQL.

Machine learning is crucial in the field of data science as it aids the data analysis and prediction process. This course by Stanford University covers essential machine learning concepts used in data science. They include artificial neural networks, machine learning algorithms, and logistic regression.

This course by the University of Michigan is a great choice for anyone looking to learn Python and data science. It requires a base knowledge of Python programming and will teach you everything from machine learning to statistical application. In addition, the course also covers Matplotlib, pandas, scikit-learn, and NetworkX.

This course offered by UC Davis is the first of a four-part program on SQL for the data science specialization. This part focuses on the foundational concepts of using SQL commands, queries, analysis tables, and data manipulation. It also covers SQLite, a relational database management system.

This free data science introductory course covers the foundations of the field. Classed as an intermediate-level course, you will learn to work with big data, data analysis, data manipulation, machine learning, and information visualization. On completion, you can take Udacity’s Data Science Nanodegree program to get certified and advance your career.

For those looking to learn the ins and outs of data science using both Python and R, this course is for you. It will teach you to build machine learning models, dimensional reductions, data preprocessing linear regression, and more. You will come out of this course having an understanding of data science and deep learning.

Udemy’s data science and machine learning course covers Python and an array of data science software tools. You will learn to implement machine learning algorithms, data analysis, Python plotting, linear regression, neural networks, and more. The software tools included are pandas, Apache Spark, Seaborn, Plotly, TensorFlow, NumPy, and Matplotlib.

Udemy is offering this bootcamp that covers all the in-demand data science tools and concepts needed to become a data scientist. This course teaches Python, statistics, machine and deep learning, and mathematics.

By the end of the course, you will code and solve big data tasks, and create machine learning algorithms in NumPy, Python, and statsmodels. You will also gain a deeper understanding of deep neural networks.