You can learn practical data science with Python to gradually comprehend data science and its methods.
With the help of several examples, this course is created to aid in your understanding of data science in the most straightforward manner possible.
This course uses several graphs and visuals to explain all fundamental Data Science principles and their applications rather than complex mathematical calculations.
This course adopts a distinct methodology centered on providing straightforward illustrations of each Data Science technique's operation and builds incrementally on those illustrations to cover Data Science.
Years of Experience
What you will learn
Data collection, exploration, cleaning, munging, and manipulation
Explore the foundations of machine learning.
Use models like k-nearest Logistic regression and neighbors.
Study the fundamentals of linear algebra, statistics, and probability and comprehend their applications in data science.
Little programming experience is required.
Python Programming - Introduction
Who should attend this course?
Beginners interested in Data Science but hesitant to begin due to their fear of complex math
Beginners in the data science and computer science fields
Experts in the social sciences and data
Professors, lecturers, or tutors who want to simplify and improve how they teach their students new material
Especially those who focus on Data Science are students and academics.
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For dates, times, and location customization of this course, get in touch with us.
You can also speak with a learning consultant by calling 800-961-0337.