Data Analytics and Python Fundamentals
Course Report
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Course Features
Duration
4 weeks
Delivery Method
Online
Available on
Lifetime Access
Accessibility
Mobile, Desktop
Language
English
Subtitles
English
Level
Intermediate
Effort
4 hours per week
Teaching Type
Self Paced
Course Description
Highlights
Course Credibility
Top 20 Percentile
Pedagogy
Top 20 Percentile
Parameters
Course Credibility
Delivered through Future Learn a renowned institution in the field, this course offers a comprehensive learning experience.
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Pedagogy
Acquire all major Data Analytics skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Data Analytics, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.
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Course Overview
Alumni Network
International Faculty
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Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
During the course we’ll be using Jupyter notebook. We recommend you use a computer to access these elements
What You Will Learn
Compare data analytics and advanced data analytics
Discuss fundamentals of statistics and its application in data analytics
Define loops, conditional logic, various data structures and collections in Python
Create and use functions in Python
Target Students
Business analysts or junior data analysts looking to develop their advanced data analytics skills and programming capabilities to achieve career progression within data analytics
Those with existing programming capabilities looking to start a career in data analytics
Those lacking the programming capabilities to conduct more advanced data analysis and modelling
Course Instructors
Corporate Sponsors