Learn Data Science
13 expert-rated courses covering Data Science. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
Data Science skills are in high demand across virtually every industry, from tech and finance to healthcare and government. According to the US Bureau of Labor Statistics, Data Scientist roles are projected to grow 36% by 2031, with a median annual salary of $100,910. Companies are rapidly investing in Data Science to gain a competitive edge through data-driven decision-making.
Key Facts About Data Science
- 1Data Science combines mathematics, statistics, programming, and domain expertise to glean insights from complex data sets.
- 2Key Data Science tools include Python, R, SQL, Apache Spark, TensorFlow, Tableau, and Git.
- 3Popular Data Science techniques include regression, classification, clustering, natural language processing, and time series analysis.
- 4Data Scientists typically hold advanced degrees like MS or PhD in fields like Computer Science, Statistics, or Mathematics.
- 5The data-driven business intelligence provided by Data Scientists enables organizations to boost operational efficiency, enhance customer experiences, and uncover new growth opportunities.
Top Data Science Courses
The Machine Learning Lifecycle: From Data Ingestion to Responsible Deployment
Learn the complete machine learning lifecycle from initial data ingestion through to responsible deployment in production. This course covers best practices for building, validating, and deploying ML models while considering ethical implications and responsible AI practices.
IBM Data Science Professional Certificate
Comprehensive data science program by IBM. Learn Python, SQL, data analysis, machine learning, and data visualization.
IBM Certified Data Scientist Watson Practice Exams
Practice exams designed to prepare you for IBM Certified Data Scientist certification. Test your knowledge of AI, machine learning, and data science concepts using IBM Watson technologies.
Machine Learning with Python
Learn machine learning using Python, the industry-standard language for data science and AI. Work with popular libraries like scikit-learn, TensorFlow, and pandas to build practical ML models. Ideal for intermediate programmers wanting to enter the machine learning field.
Python for Applied Data Science & AI
Master Python programming for data science and AI applications with practical examples and projects. Learn essential libraries like NumPy, pandas, and scikit-learn for data manipulation and analysis. Perfect foundation for anyone entering the data science or AI field.
Data Science and Machine Learning with Python
By the end of this class, you will not only have a solid understanding of data science and analytics but also be able to quickly learn new libraries and tools.
Pandas for Data Analysis: Master Data Handling in Python
This course covers everything from setting up your working environment with Anaconda and Jupyter Notebook to mastering the core features of Pandas.
Excel to Python: A Data Science Crash Course
Introduction: Do you do data science with Excel and then Python? And welcome to a Skillshare crash course where you will learn the fundamentals of Python for ...
Data Visualization with Matplotlib: From Basics to Advanced ...
In this course, you'll master data visualization using Matplotlib, one of the most powerful libraries in Python.
Machine Learning with Python and Scikit-learn for absolute beginners
This course covers how to build Machine Learning models from scratch using Python and Scikit-learn libraries. Course structure is captured below.
Python For Beginners: Master the Essential Basics of Python
By learning Python, you're preparing yourself for a future in: Data Science and Analytics: Process, analyze, and visualize data to make smarter decisions.
The No-Code Data Science Masterclass for Business Analysts ...
We will cover the expectations, steps, and vocabulary needed to make data-driven decisions. This class is tool-agnostic and can be applied in multiple contexts ...
SQL for Data Science
Learn SQL programming for data analysis and manipulation in data science workflows. Master database queries, joins, aggregations, and data wrangling techniques for extracting insights from relational databases.
Pro Tips for Learning Data Science
- #1Begin with foundational courses on statistics, programming, and machine learning.
- #2Supplement textbook learning with hands-on projects using real-world data sets.
- #3Build a robust portfolio showcasing your Data Science skills and contributions.
Why Learn Data Science?
- Gain in-demand, future-proof skills to thrive in a data-driven economy.
- Enjoy high earning potential with a median US Data Scientist salary over $100K.
- Develop the analytical and problem-solving abilities to drive business impact.
AI Tools for Data Science
Apply your Data Science skills with these recommended tools: