Exploratory Data Analysis
Learn various EDA techniques and its application to modern business analytics.
Get more in-depth on exploratory data analysis practice you can perform using pandas in this 12-hour course. Pick up the essential exploratory tools in this library to cover more statistical capabilities of pandas. We will also guide you through one of the most demanding, yet important process in data analytics: data cleansing. Upon completion of this course, you will uncover more possibilities in working with data using pandas.
Syllabus: Exploratory Data Analysis
Use item dataset listed in a popular e-commerce website to perform the exploratory data analysis process you have learned. We will explore different product categories in terms of various price and scale range. This module was gathered as part of a larger research work where the analyst wanted to study the price convergence of Indonesia essential household items.
The Data Analytics Specialization is a 4-week bundle that is curated to accelerate a student’s mastery in building data products, develop a web application, and data visualization.
Students are not assumed to have a working knowledge of Python or prior proficiency in statistics/mathematics/algebra. As such the workshop follows a gentle learning curve and emphasizes hands-on, one-to-one tutoring from our team of instructors and teaching assistants.
Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.
This course is part of the Algoritma Data Analytics Specialization. Participants are rewarded with a certificate of completion upon passing criteria.