15 Best Data Science Programs Online

1. Become a Data Scientist– Udacity - https://www.udacity.com/course/data-scientist-nanodegree--nd025?irclickid=y5rXDew6qxyPUqf3vJzQFwNqUkFUSpUo70tt3E0&irgwc=1&utm_source=affiliate&utm_medium=&aff=2406137&utm_term=&utm_campaign=__&utm_content=&adid=786224 - Rating- 4.7/5 - Time to Complete- 4 months( If you spend 10 hrs/week) - Nano-Degree Program offered by Udacity, Learn how to solve Data Science Problems using Python Programming, Software Engineering Skills, and Data Engineering skills. 2. Data Science Specialization– Coursera - https://www.coursera.org/specializations/jhu-data-science?irclickid=TGlXX9w6qxyPUqf3vJzQFwNqUkFUSpXU70tt3E0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=3310965&utm_content=b2c - Rating: 4.5/5 - Provider: Johns Hopkins University - Time to Complete: 11 months (7 hours per week) - Theory and practical applications, Data Science, Machine Learning, R Programming, Rstudio, Github, Regression Analysis, Data Analysis, Data Manipulation, Data Cleansing, Cluster Analysis 3. Data Scientist with Python– Datacamp - https://www.datacamp.com/tracks/data-scientist-with-python - Time to Complete: 88 hours - 29 courses track, Python Programming, Data Manipulation with pandas, data visualization with matplotlib and Seaborn, statistical thinking in Python, machine learning, and much more 4. Programming for Data Science with Python– Udacity - https://www.udacity.com/course/programming-for-data-science-nanodegree--nd104?irclickid=y5rXDew6qxyPUqf3vJzQFwNqUkFUSr2070tt3E0&irgwc=1&utm_source=affiliate&utm_medium=&aff=2406137&utm_term=&utm_campaign=__&utm_content=&adid=786224 - Time to Complete: 3 months( If you spend 10 hrs/week) - Nanodegree program offered by Udacity. Python libraries – Numpy and Pandas. 5. Applied Data Science with Python Specialization– Coursera - https://www.coursera.org/specializations/data-science-python?irclickid=TGlXX9w6qxyPUqf3vJzQFwNqUkFUSr1s70tt3E0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=3310965&utm_content=b2c - Provider: University of Michigan - Rating: 4.5/5 - Time to Complete: 5 months ( 7 hours per week) - Text Mining, Python Programming, Data Cleansing, Data Virtualization, Data Visualization (DataViz), Machine Learning (ML) Algorithms, Natural Language Toolkit (NLTK) 6. IBM Data Science Professional Certificate– Coursera - https://www.coursera.org/professional-certificates/ibm-data-science?irclickid=TGlXX9w6qxyPUqf3vJzQFwNqUkFUSrVc70tt3E0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=3310965&utm_content=b2c - Provider- IBM - Rating– 4.6/5 - Time to Complete: 10 months (5 hours per week) - IBM Data Science Professional Certificate, Data Science, Machine Learning, Python Programming, Data Analysis, Data Visualization (DataViz), Predictive Modelling, RDBMS, SQL, Cloud Databases, Pandas, Numpy, and Ipython. 7. Programming for Data Science with R– Udacity - https://www.udacity.com/course/programming-for-data-science-nanodegree-with-R--nd118?irclickid=y5rXDew6qxyPUqf3vJzQFwNqUkFUSowM70tt3E0&irgwc=1&utm_source=affiliate&utm_medium=&aff=2406137&utm_term=&utm_campaign=__&utm_content=&adid=786224 - Provider: Udacity - Rating: 4.7/5 - Time to complete: 3 months( If you spend 10 hours/week) - Nanodegree program offered by Udacity, SQL fundamentals such as Joins, Aggregations, and Subqueries 8. Advanced Statistics for Data Science Specialization-Coursera - https://www.coursera.org/specializations/advanced-statistics-data-science?irclickid=TGlXX9w6qxyPUqf3vJzQFwNqUkFUSoUs70tt3E0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=3310965&utm_content=b2c - Rating: 4.5/5 - Provider: Johns Hopkins University - Time to Complete: 5 months( If you spend 2 hrs/week) - advanced-level specialization program for data science: Mathematical Biostatistic, Advanced Linear Models for Data Science 9. The Data Science Course 2023: Complete Data Science Bootcamp– Udemy - https://www.udemy.com/course/the-data-science-course-complete-data-science-bootcamp/ - Time to Complete: 28.5 hours - Intro to data science, statistics, and mathematics required for data science, Python, Tableau, machine learning, and deep learning. 10. Statistics with R Specialization– Coursera - https://www.coursera.org/specializations/statistics?irclickid=TGlXX9w6qxyPUqf3vJzQFwNqUkFUSt0o70tt3E0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=3310965&utm_content=b2c - Rating: 4.6/5 - Provider: Duke University - Time to Complete: 7 Months (If you spend 3 hours/week) - Introduction to Probability and Data with R, Inferential Statistics, Linear Regression and Modeling, Bayesian Statistics, Statistics with R Capstone 11. Intro to Data Science– Udacity - https://www.udacity.com/course/intro-to-data-science--ud359?irclickid=y5rXDew6qxyPUqf3vJzQFwNqUkFUStU470tt3E0&irgwc=1&utm_source=affiliate&utm_medium=&aff=2406137&utm_term=&utm_campaign=__&utm_content=&adid=786224 - Time to complete: 2 Months - data science with Python, fundamentals of data science, data wrangling, normal distribution, data visualization, and the basics of MapReduce. 12. Foundations of Data Science: K-Means Clustering in Python– Coursera - https://www.coursera.org/learn/data-science-k-means-clustering-python?irclickid=TGlXX9w6qxyPUqf3vJzQFwNqUkFUStTQ70tt3E0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=3310965&utm_content=b2c - Rating: 4.6/5 - Time to Complete: 29 hours - basic mathematics, statistics, K-means algorithm using Python programming 13. Python For Data Science– Udemy - https://www.udemy.com/course/python-for-every1/ - Rating: 4.4/5 - Time to complete: 3hr 55min - Data Science, Artificial Intelligence, Machine Learning, and Deep Learning Aspirants 14. Introduction to Data Science– edX - https://www.edx.org/learn/data-science/ibm-introduction-to-data-science?index=product&queryID=8a83c876a15bd38b244f7698a191bf2d&position=5 - Time to Complete- 6 Weeks - Provider: IBM - basics of data science such as tools and algorithms used daily, skills needed to be a successful data scientist, the role of data science within a business, etc. 15. Intro to Data Analysis– Udacity - https://www.udacity.com/course/intro-to-data-analysis--ud170?irclickid=y5rXDew6qxyPUqf3vJzQFwNqUkFUSv1M70tt3E0&irgwc=1&utm_source=affiliate&utm_medium=&aff=2406137&utm_term=&utm_campaign=__&utm_content=&adid=786224 - Time to Complete: 6 Weeks - data analysis process including posing a question, data wrangling, exploring the data, drawing conclusions, Python libraries NumPy, Pandas, and Matplotlib