Our Pick For The Best Online Data Science courses And Programs

Students or those looking for upgrading their data science knowledge and skills can choose from a variety of online courses offered. Here are some of the top online courses for data scientists that are immediately available.

1. Python for Data Science and Machine Learning Bootcamp
   This course includes 25 hours of on-demand video, 13 articles, and five downloadable resources. Users can have access either on mobile or TV. In the end, a certification of completion is given. Through this course, users will learn to use Python for data science and machine learning, Pandas for data analysis, and Seaborn for statistical plots, to implement machine learning algorithms and to support vector machines. Also, participants will be taught logistic regression and how to use NumPy for numerical data.
2. CS109 Data Science –  Harvard University
   This course provides participants with specific knowledge about data wrangling, cleaning, and sampling to get a suitable data set, data management, exploratory data analysis, prediction based on statistical methods such as regression and classification, and communication of results through visualization, stories, and interpretable summaries. Python is used for all programming assignments and projects.
3. MicroMasters Program in Statistics and Data Science – Massachusetts Institute of Technology
   This program includes four online courses and a virtually proctored exam. Participants will get all the foundational knowledge essential to understanding the methods and tools used in data science. To complete the SDS MicroMasters program, learners will need to take the three core courses and one out of two electives. Once learners have passed their four courses, they will then take the virtually-proctored Capstone exam.
4. Data Science Courses – Dataquest
   There is a variety of courses according to the special needs of each learner. One option is to choose the Python for Data Science: Fundamentals or the Python for Data Science: Intermediate. For those who want to learn how to analyze using the Pandas and NumPy Libraries, they can choose Pandas and NumPy Fundamentals. Also, those who want to learn how to communicate insights and tell stories using data visualization can attend the Storytelling Through Data Visualization. Those who want to learn to summarize distributions, measure variability using variance or standard deviation, and compare values using z-scores can attend the Statistics Intermediate: Averages and Variability.
5. Applied Data Science with Python – University of Michigan, Coursera
   It is a five-course specialization in Applied Data Science with Python. Students who will complete the course will receive a Certificate. The courses taught include Introduction to Data Science in Python, Applied Plotting, Charting and Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python (Capstone project).
6. Introduction to Data Science – Metis
   Participants will get a well-rounded intro to the core concepts and technologies taught including basic machine learning principles and hands-on coding experience. Also, students will make some practice during their study through a mini data science project of their own. Through the course are covered the following fields: data acquisition, cleaning, and aggregation, exploratory data analysis and visualization, feature engineering, model creation, and validation, basic statistical and mathematical foundations for data science.
7. Data Science Specialization – Johns Hopkins University, Coursera
   Students will learn to use R to clean, analyze, and visualize data and also GitHub to manage data science projects. Furthermore, students will learn to navigate the entire data science pipeline from data acquisition to publication and perform regression analysis, least squares, and inference using regression models. In the final Capstone Project, students will apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material. The courses are online. Participants can start instantly and learn at their own schedule. The duration of the program is about 11 months and there are available subtitles in English, French, Portuguese, Korean, Russian, Spanish, Arabic, Chinese, Italian, etc.