Course Features
Duration
3 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Effort
10 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
Job Assistance
International Faculty
Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
Python standard libraries
Working with data with Pandas and NumPy
You should have experience working with Python (specifically NumPy and Pandas) and SQL
What You Will Learn
Apply Inferential Statistics and Probability
Apply Visualization principles to the data Analysis process
Data Analysis process of Wrangling, Exploring, Analyzing, and Communicating data
Data Wrangling process of Gathering, Assessing, and Cleaning Data
Target Students
Analytics Consultant
Data Analyst
Graduates
Management Consultant
Product Manager
Course Instructors
