Understanding and analyzing data is one of the key skills required in the industry today. This course is completely focused on the various aspects of data analytics using Python.
Participants will be taught about the key libraries for data ingestion and manipulation, exploratory data analysis, model building and data visualisation, as well as how to use them. In addition, they will be provided the basic statistics knowledge required to understand the concepts in the latter courses.
Who Should Attend
Those who want to learn data analytics using Python, such as students, working professionals and PMETs.
Mode of training: Classroom
Duration: 8 hours (1 day)
For latest course schedule, please enquire with your course consultant or simply fill up the enquiry form.
Module 1: Understanding data
Module 2: Data Wrangling
Module 3: Exploratory Data Analysis
Module 4: Model Development for Analysis
Module 5: Data Visualisation
Aditya is a tech enthusiast with more than 6 years of experience across various technologies in data science, machine learning, deep learning and computer vision. He has worked across various domains including automotive, banking, retail among others. He is a true believer of ‘You got to see it work to know it works’ and sets goals towards achieving the same in any of the endeavours he undertakes. Being highly inclined towards tech, he founded Xaltius Pte. Ltd in Singapore which has a major focus on building AI and AR based products for various sectors. He also founded Code For India which specializes in delivering top notch skills in Data Science and AI as required in the industry today. He also loves to teach students and professionals Data Science and AI and does that regularly in Singapore.
Kaplan reserves the right to change trainer, in light of unforeseen circumstances.