Track curriculum encompasses a collection of pivotal courses that provide foundational knowledge and skills essential for a successful journey in the field of data science.
These courses encompass the comprehensive study of key concepts, tools, and methodologies integral to the realm of data analysis and modeling.
By delving into courses centered around numpy, pandas, statistics, probability theory, as well as mathematics tailored for data analysis and modeling, learners are equipped with a well-rounded toolkit to seamlessly navigate the intricacies of data-driven exploration, manipulation, and inference.
6 courses
Syllabus
- Ultimate NumPy
- Pandas First Steps
- Advanced Techniques in pandas
- Mathematics for Data Analysis and Modeling
- Probability Theory Basics
- Ultimate Visualization with Python
Python Data Analysis and Visualization |
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