Kickstart your career in data science & ML. Build data science skills, learn Python & SQL, analyze & visualize data, and build machine learning models.
👉 https://www.coursera.org/professional-certificates/ibm-data-science
You’ll need skills in math, statistics, communications, and working with tools designed to do data analytics and data visualization. Explore this high-demand career.
👉 https://www.linkedin.com/learning/paths/become-a-data-analyst
Show employers your analytical and technical prowess with DataCamp’s highly regarded Data Scientist certification.
👉 https://www.datacamp.com/certification/data-scientist
A practical and beginner-friendly introduction to data analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.
👉 https://jovian.com/learn/data-analysis-with-python-zero-to-pandas
In this course, you will train in the theoretical and practical aspects of algorithms and Data Structures. You will also learn to implement Data Structures and algorithms in C/C++, analyze those algorithms, and consider both their worst-case complexity and practical efficiency.
👉 https://learn.saylor.org/course/view.php?id=66
A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python.
👉 https://jovian.com/learn/data-structures-and-algorithms-in-python